The Complete Python for Finance Masterclass
The Complete Finance for Python. Learn Algorithmic Trading.
🏛️ Do you want to learn finance?
Do you need to learn to code? 🤖
📈🔎 Do you want to build a portfolio of 99 projects?
This massive 85-hour course bundle is for you!
- Level 1 - Learn Finance (5 hours)
- Level 2 - Learn to Code with 10 Python Projects (15 hours)
- Level 3 - Stock Market Data Science and Machine Learning (35 hours)
- Level 4 - Algorithmic Trading (5 hours)
- Level 5 - Crypto and Blockchain with Web3.js and Metaverse (20 hours)
- 🎁 Free Bonus - Build Apps with Python Tkinter (5 Hours)
Perfected over 4 years, this is our LARGEST financial bundle ever.
- Learn how to trade on the stock market! 🏛️
- Stay afloat in bear and bull markets 📈
- Learn to code in order to maximize your gains 🧑💻
Code in Python, JavaScript, Solidity, and Haskell professionally
✓ Build 99 projects over 99 days
✓ Learn data science and machine learning
✓ Build smart contracts for blockchains
✓ Build a trading bots
✓ AND MUCH MORE!
What You'll Learn
💵 Level 1 - Learn Finance
Learn stock market trading, day trading, options trading and cryptocurrency trading from 4 experts in the field.
📈 Course 1 - Trade on the stock market
Learn the fundamentals including stock exchanges, brokers, how to trade, technical analysis, fundamental analysis, indicators and much more. 📉
💱 Course 2 - Day Trading
Learn how to choose stocks, get trading signals, use trading platforms, analyze performance, build a trading plan and much more. 💲
₿ Course 3 - Decentralized finance
Learn to use decentralized exchanges and analyze cryptocurrencies, altcoins, NFts, ICOs and more.
💶 Course 4 - Trade options
Learn to build risk graphs, use trading strategies for different markets and much more. 🏦
💻 Level 2 - Learn to Code with 10 Python Projects
Learn how to code in Python, the #1 language for finance, machine learning and data science. Anyone can become a coder. Program in the most hireable language of the decade!
🔨 Build 10 amazing beginner projects:
- Build web apps and dashboards
- Build databases
- Mine data
- Build chatbots with natural language processing 🤖
- Learn exploratory data analysis
- Build beginner machine learning models.
- Scrape the web for data generation
🎓 Use powerful libraries and tools:
- Flask, Dash, PyPlot, Apache Spark, PySpark, SQLite, NumPy, SciKit, Seaborn, Pandas, Beautiful Soup and more
Level 3 - Stock Market Data Science and Machine Learning
Analyze and visualize data! Build artificial intelligence models for the stock market.
📊 Course 1 - Become a data scientist
Work with data using powerful Python libraries, including Pandas, NumPy and MORE!
₿ Course 2 - Analyze crypto stocks with Python
Analyze stock performance, build a portfolio and implement trading strategies. Use powerful tools including: PyPlot, Pandas, NumPy and Facebook Prophet.
Course 3 - Build machine learning models
Build recommender systems with Keras neural network techniques used by YouTube, Amazon and Netflix.
₿ Course 4 - Build machine learning for crypto
Build regression, decision tree and classification models to predict crypto price. Use techniques including: SVM, AdaBoost, Naive Bayes and MORE!
📉 Course 5 - Predict stocks from Twitter trends with machine learning
Work with cryptocurrency APIs and trade algorithmically based on sentiment analysis, the popularity of a coin on Twitter!
Course 6 - Analyze and visualize data
Perform data science with practical projects using Python, Pandas, NumPy, Seaborn and Matplotlib.
Course 7 - Build a stock web app
Build a stock ticker dashboard with Python, Dash and Pandas. Get a website running in minutes thanks to the power of Colab!
Course 8 - Predict stocks by analyzing Twitter
Scrape Twitter for tweets. Analyze tweet sentiment to predict if a stock will rise or fall based on social media popularity. Build machine learning models!
Course 9 - Build TensorFlow.js models for the web (20 hours)
Learn to code in JavaScript, the #1 language for the web. Use machine learning models and neural networks in websites with Tensorflow.js. Build beginner to advanced projects!
Level 4 - Algorithmic Trading
Learn to build investing strategies algorithmically.
🖥️ Course 1 - Build trading strategies for crypto
Use SMA, Big Three, data smoothing and more techniques. Visualize returns with Matplotlib's Pyplot and kaleido.
⚙️ Course 2 - Build investing strategies to find best momentum stocks
Make batch API calls to scrape data. Find high quality momentum stocks! Build Excel files from your results.
🦾 Course 3 - Build investing strategies to find best value stocks
Remove glamour stocks. Build a composite of valuation metrics. Clean data and MUCH MORE!
🦿 Course 4 - Algorithmic trading with Coinbase
Load historical data. Check Coinbase account balance. Buy and sell cryptocurrency algorithmically and MUCH MORE!
Level 5 - Crypto and Blockchain with Web3.js and Metaverse ₿
Build smart contracts, dApps and Metaverse scenes.
Course 1 - Build Ethereum smart contracts with Solidity
Learn how blockchains and distributed ledgers work. Learn to code from scratch through smart contracts. Interact on a live blockchain with Web3, Ganache and Truffle!
Course 2 - Build NFT dApp for Ethereum
Build NFT smart contract with Solidity, OpenZeppelin and Ganache. Build client frontend for the decentralized app with React.js and JavaScript.
Course 3 - Build Beginner dApp for Ethereum
Build, compile, deploy and migrate Truffle Solidity smart contracts! Build a simple dapp with React and Web3 that connects to MetaMask. And MUCH MORE!
Course 4 - Build dApps
- Build a Simple NFT Contract with Hardhat, OpenZeppelin and Local Blockchain
- Build an NFT minting dapp with Truffle, Solidity, OpenZeppelin and React
- Build React frontend for dapp
- Build a to do list dapp with Truffle and React
- Enable user interaction with dapp
Course 5 - Build NFT smart contract for OpenSea marketplace
Build collection data and NFT data! Deploy and mint tokens. And MUCH MORE!
Course 6 - Connect to XRP Ripple blockchain with JavaScript
Connect to the XRP ledger with XRPL.js! Handle XRPL transactions with WebSocket and JavaScript. And MUCH MORE!
Course 7 - Build NFTs with Metaplex for Solana blockchain
Build a crypto wallet with Solana Tool Suite! Build NFT with Metaplex Candy Machine. Build an NFT dapp with Metaplex Candy.
Course 8 - Connect to the Cardano blockchain
Get started with Cardano! Generate and fund a Cardano crypto wallet programatically through your Command Line. Run a Cardano node and MUCH MORE!
Course 9 - Build smart contracts with Plutus for Cardano
Build a Hello World Haskell project with Cabal. Learn the Plutus and (E)UTxO model of smart contract development. And MUCH MORE!
Course 10 - Build Marlowe smart contracts for Cardano
Learn Marlowe Haskell for the blockchain. Build payment, fundraiser, bond and more contracts in this hands-on course!
Course 11 - Build Metaverse scenes on Decentraland with TypeScript
Build a simple Decentraland scene in the first fully decentralized virtual world! Build 3D models with Decentraland's Builder. And MUCH MORE!
Supercharge your career for the new decade!
🎁 Free Bonus Course for All Pledge Tiers
Build Modern GUI Apps with Python Tkinter (5 Hours)
Build desktop applications with Python!
All pledge tiers are STACKING. You get more and more courses with each pledge tier.
Build Practical Projects 🛠️
Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:
- Python 3 - the latest version of Python
- Analyze stock portfolios
- Metaverse scenes
- Cryptocurrency wallets
- Decentralized websites
- Sentiment Analysis
- Natural Language Processing
- Solana
- Ethereum
- Cardano
- vectorbt
- Scikit-Learn
- kaleido
- Coin Metrics API
- Coinbase API
- NumPy
- Matplotlib's Pyplot
- Google Colab Jupyter Notebooks
- SciKit Learn
- Seaborn
- Pandas
- Cryptocurrency
- Blockchain
- Keras
- Solidity
- Haskell
- Facebook Prophet
- Dash
- Ethereum Remix
- Truffle Ethereum
- Ganache
- Hardhat
- Command Line
- React.js
- HTML
- JavaScript
- MetaMask
- Homebrew
- Git
- Node and NPM
- TypeScript
- Solana CLI
- TypeScript Node
- Yarn
- and much more!
Projects You'll Build 🔨
Build a portfolio of projects that you can show off to any potential employer. Including:
- dApps
- NFTs
- Smart contracts
- Stock trading
- Machine learning models
- Neural networks
- Data visualizations
- Stock ticker web app
- Cryptocurrency trading
- Investing strategies
- Trading bot with Tweet sentiment analysis
- Solidity smart contracts
- Cardano smart contracts
- Web apps
- Dashboards
Requirements
- No programming experience needed - We'll teach you everything you need to know.
- We'll walk you through, step-by-step how to get all the software installed and set up.
Welcome to the The Complete Finance for Python, the only course you need to learn programming. With over 50,000 reviews, our courses are some of the HIGHEST RATED courses online!
99 days, learn to build 1 project per day, this is how you master coding.
This masterclass is without a doubt the most comprehensive course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here's why:
- The course is a taught by 7+ instructors with decades of experience in their fields.
- We've taught over 800,000 students how to code and many have gone on to become professional developers or start their own tech startup.
- You'll save $72,000, the average cost of 6 coding bootcamps. You'll learn completely online at your own pace. You'll get lifetime access to content that never expires.
- The course has been updated to be 2023 ready. You'll learn the latest tools and technologies.
We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a software developer.
The course includes over 85 hours of HD video tutorials and builds your programming knowledge while making real-world projects.
Sign up today, and look forward to:
- Video Lectures
- All Source Code
- Coding Challenges and Exercises
- Fully Fledged Projects
- Programming Resources
- Downloads
Testimonials
📙 Successful people are always learning.
Do you like to invest?
This course is the best self development investment you'll ever make.
📦 Sign up today, and look forward to:
- 85+ hours of HD Video Lectures
- Easy to view on mobile
- Source files
- Fully Fledged Projects
- Resources and Downloads
Frequently Asked Questions
How do I obtain a certificate?
Each certificate in this bundle is only awarded after you complete every lecture of the course.
Many of our students post their Mammoth Interactive certifications on LinkedIn. Not only that, but you will have projects to show employers on top of the certification.
Is this an eBook or videos?
The majority of this bundle will be video tutorials (screencasts of practical projects step by step.) You will also get PDFs and ALL SOURCE FILES!
Can't I just learn via YouTube?
YouTube tutorials prioritize clickbait, shock factor, and hacking the recommendation algorithm. This makes it hard to find quality content.
Our online courses are completely about education. You'll be taken from absolute beginner to advanced programmer. With no ads, clickbait or shock factor.
This bundle is much more streamlined and efficient than learning via Google or YouTube. We have curated a massive curriculum to take you from zero to starting a high-paying career.
How will I practice to ensure I'm learning?
With each section there will be a project, so if you can build the project along with us you are succeeding. There is also a challenge at the end of each section that you can take on to add more features to the project and advance the project in your own time.
Read more FAQs in the FAQ tab.
🌐 About Mammoth Interactive
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 3.5+ million courses sold. Mammoth Interactive has released over 300 courses and 3,000 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more.
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start01. Introduction To Python (5:24)
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Start02. Variables (19:17)
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Start03. Type Conversion Examples (10:04)
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Start04. Operators (7:04)
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Start05. Operators Examples (21:52)
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Start06. Collections (8:23)
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Start07. Lists (11:38)
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Start08. Multidimensional List Examples (8:05)
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Start09. Tuples Examples (8:34)
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Start10. Dictionaries Examples (14:24)
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Start11. Ranges Examples (8:30)
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Start12. Conditionals (6:41)
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Start13. If Statement Examples (10:16)
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Start14. If Statement Variants Examples (11:18)
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Start15. Loops (7:00)
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Start16. While Loops Examples (11:30)
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Start17. For Loops Examples (11:18)
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Start18. Functions (7:47)
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Start19. Functions Examples (9:16)
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Start20. Parameters And Return Values Examples (13:46)
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Start21. Classes And Objects (11:13)
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Start22. Classes Example (13:11)
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Start23. Objects Examples (9:54)
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Start24. Inheritance Examples (17:26)
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Start25. Static Members Example (11:03)
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Start26. Summary And Outro (4:06)
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StartSource code
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Start00A What Is Machine Learning (5:26)
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Start00B Types Of Machine Learning Models (12:17)
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Start00C What Is Supervised Learning (11:04)
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Start01 How Does A Machine Learning Agent Learn (7:38)
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Start02 What Is Inductive Learning (4:11)
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Start03 Performance Of A Machine Learning Algorithm (4:14)
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Start04 Handle Noise In Data (5:22)
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Start05 Powerful Tools With Machine Learning Libraries- (12:11)
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StartSource Files
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Start01 Import S&P Stock Data Into Colab (6:09)
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Start02 S&P Data Processing And Cleaning For Machine Learning (4:51)
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Start03 Calculate Average S&P Returns With Python (2:48)
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Start04 Calculate Average S&P Variances With Pandas (3:19)
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Start05 Determine Optimal Number Of Clusters For Kmeans (8:38)
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Start06 Build A Kmeans Unsupervised Model For S&P (5:47)
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StartSource files
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Start01 Why You Must Know How To Work With Data (5:22)
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Start02 How To Read An ER Model (5:32)
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Start03-01 What Is A Database (8:26)
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Start03-02 What Is A Relational Database (4:33)
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Start04-01 How To Design Columns And Data Types (3:13)
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Start04-02 Use Normal Forms To Check Your Design (7:16)
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Start05-01 Build A Sqlite Database With Python (8:02)
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Start05-02 Add An Entry To The Table With SQL (6:44)
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Start05-03 Add More Records To The Table (6:30)
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Start05-04 Build A Second Table For Cross-Referencing (10:57)
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Start05-05 Select Rows That Meet Conditions (7:15)
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StartSource Files
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Start01.01 Introduction To The Course (2:35)
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Start01.02 Introduction Of The Instructor (1:24)
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Start01.03 Course Requirements (1:11)
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Start02.01 Why You Should Trade (7:28)
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Start02.02 What Is A Stock (4:45)
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Start02.03 What Is A Market (2:27)
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Start02.04 What Is A Stock Exchange (3:03)
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Start02.05 What Is A Broker (5:10)
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Start02.06 Where To Trade (4:36)
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Start03.01 Orders And Order Types-1 (17:15)
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Start03.02 Orders Driving Prices-2 (2:30)
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Start03.03 Different Players-3 (4:06)
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Start03.04 Ways To Make Money-4 (3:45)
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Start04.01 What Is Technical Analysis-1 (10:37)
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Start04.02 Charts And Candlesticks-2 (20:59)
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Start04.03 Trends, Support And Resistance-3 (7:41)
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Start04.04 Chart Patterns-4 (7:10)
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Start04.05 Volume-5 (9:57)
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Start04.06 Bollinger Bands-6 (7:25)
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Start04.07 Relative Strength Index-7 (10:21)
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Start04.08 Average True Range-8 (5:01)
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Start05.01 What Is Fundamental Analysis-1 (15:43)
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Start05.02 Financial Statements-2 (13:58)
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Start05.03 Fundamental Ratios-3 (4:39)
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Start05.04 Current Vs Expected-4 (2:46)
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Start05.05 Growth Vs Value Companies-5 (4:59)
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Start05.06 Trend Analysis-6 (8:18)
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Start05.07 Benchmarking-7 (7:30)
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Start05.08 Dividend Discount Model-8 (13:19)
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Start05.09 Stock Splits-9 (5:45)
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Start05.10 Other Metrics-10 (4:22)
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Start06.01 What To Expect-1 (15:22)
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Start06.02 Gambling Vs Educated Betting-2 (3:19)
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Start06.03 Batting Average-3 (3:56)
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Start06.04 Win-Loss Ratio-4 (5:15)
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Start06.05 Risk Management-5 (7:24)
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Start06.06 Money Management-6 (10:35)
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Start06.07 Position Sizing-7 (10:03)
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StartScript Files
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StartSection 1.1 - Introduction-1 (1:35)
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StartSection 2.1 - What Is Day Trading-1 (1:51)
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StartSection 2.2 - Why Most People Fail At Day Trading-2 (5:02)
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StartSection 2.3 - Pros And Cons Of Day Trading-3 (13:46)
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StartSection 2.4 - Types Of Day Trading-4 (1:18)
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StartSection 3.1 - Risk And Account Management-1 (4:11)
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StartSection 3.2 - How To Choose The Right Stock-2 (13:46)
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StartSection 3.3 - Scale Out Your Trade-3 (2:38)
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StartSection 3.4 - How To Use Stock Screeners-4 (3:33)
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StartSection 3.5 - Important Indicators To Use-5 (5:43)
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StartSection 3.6 - Get Trading Signals From Indicators-6 (5:56)
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StartSection 3.7 - Use A Trading View Platform-7 (3:53)
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Start4.1 - Overview Of Day Trading-1 (8:27)
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Start4.2 - Trading Plans Overview-2 (5:40)
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Start4.3 - Deployment Process-3 (5:10)
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Start4.4 - Analyze Historical Performance-4 (9:55)
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Start4.5 - Which Broker To Use-5 (6:46)
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StartSection 5.1 - What Is The Open Price Gaps Strategy-1 (3:09)
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StartSection 5.2 - Warning About Scammers-2 (3:30)
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StartSection 5.3 - Opening And Closing Auctions-3 (4:26)
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StartSection 5.4 - Build A Trading Plan And Stock Screening-4 (2:17)
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StartSection 6.1 - What Is The Equity Dilution Strategy-1 (4:39)
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StartSection 6.2 - Why The Strategy Works-2 (2:49)
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StartSection 6.3 - How To Research-3 (3:02)
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StartSection 6.4 - How To Backtest-4 (5:52)
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StartSection 6.5 - Build A Trading Plan And Stock Screening-5 (1:44)
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StartSection 7.1 - What Is The Dividend Cuts-1 (5:10)
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StartSection 7.2 - Present Value Of Money-2 (13:46)
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StartSection 7.3 - When A Company Cuts Dividends-3 (3:02)
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StartSection 7.4 - Build A Trading Plan And Stock Screening-4 (1:37)
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StartScript PDF Files
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Start01.01. Introduction To The Course (4:02)
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Start01.02 Introduction Of The Instructor (2:05)
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Start01.03 Course Requirements (0:22)
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Start02.01 Introduction Of Crypto Currencies (4:32)
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Start02.02 Introduction Of Bitcoin (7:06)
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Start02.03 Introduction Of Ethereum (2:25)
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Start02.04 Inroduction Of Altcoins (1:30)
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Start02.05 Introduction Of Multiplier (2:25)
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Start02.06 Difference Of Fiat And Satoshi (7:21)
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Start02.07 Difference Of Coin And Token (6:31)
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Start3.1 Most Profitable Cryptocurrencies (8:48)
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Start3.2 Where To Find Cryptocurrency Data (0:35)
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Start3.3 Tips For Investing (10:17)
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Start3.4 Warnings About Investing (3:33)
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Start3.5 Invest In A Coin Long-Term (2:43)
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Start3.6 Invest In A Coin Short-Term (3:44)
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Start3.7 When To Buy And Exit (1:46)
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Start3.8 Maximize Gains (2:00)
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Start3.9 Spot Hidden Coins (3:33)
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Start4.1 Need To Buy Crypto (9:21)
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Start4.2 Buy Bitcoin With Your Normal Currency (1:16)
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Start4.3 Send Money To An Exchange (5:21)
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Start4.4 Sell Your First Cryptocurrency (13:46)
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Start4.5 Decentralised Exchanges & Uniswap (21:10)
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Start4.6 Pancakeswap (7:36)
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Start5.1 Large, Mid And Micro Cap Coins (9:37)
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Start5.2 How To Get Regular Profits (10:52)
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Start5.3 Calculate Your Potential For Gains (2:39)
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Start5.4 Additional Bonuses (2:52)
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Start5.5 Investment’S Long Term Capability (1:28)
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Start6.1 Short Term Strategy (4:31)
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Start6.2 Long Term Strategy (7:04)
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Start6.3 Playing The Market (2:05)
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Start6.4 React When Your Investment Loses Money (3:13)
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Start7.1 Bear Vs Bull Market (7:00)
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Start7.2 Predict If A Crypto Will Soar Or Crash (12:27)
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Start7.3 Find Optimal Price Of A Coin (9:58)
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Start7.4 Stay Or Exit A Trade (8:15)
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Start7.5 How To Use Candlesticks (4:27)
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Start7.6 Spot Trends And Predict Future Prices (6:31)
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Start8.1 Why Blockchain Infrastructure Coins Are Valuable (35:50)
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Start8.2 Why Privacy Coins Are Valuable (12:51)
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Start8.3 Why Iot Coins Are Valuable (4:38)
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Start8.4 Why Currencies Are Valuable (10:28)
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Start8.5 Dapputility Coins Are Valuable (2:37)
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Start9.1 Profits Back To Fiat (8:09)
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Start9.2 Avoid High Fees When Selling (7:24)
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Start10.1 Defi And Yield Farming (20:02)
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Start10.2 Why You Should Be A Yield Farmer (2:05)
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Start10.3 Warnings About Yield Farmers (2:23)
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Start10.4 How Buy New Defi Coins (2:14)
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Start10.5 How To Reduce Gas Prices (8:35)
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Start11.1 What Are NFTs (4:33)
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Start11.2 NFTs Are A High Profit Investment (4:36)
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Start11.3 Different NFT Platforms (2:17)
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Start11.4 Yield Farming & NFT Platforms (3:07)
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Start12.1 What Are ICO (11:55)
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Start12.2 Why Invest In ICOs (2:46)
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Start12.3 Optimum Price During Pre-Sales (2:48)
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Start12.4 Partake In Private Sales (4:07)
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StartScript Files
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Start01.01. Introduction To The Course-1 (3:26)
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Start02.01. What Are Options-1 (6:30)
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Start02.02. Practical Example With A Stock-2 (4:42)
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Start02.03. Introduction To Call Options-3 (1:40)
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Start02.04. Practical Example Of A Call Option-4 (4:28)
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Start02.05. What Are In-The-Money (Itm), At-The-Money (Atm) And Out-Of-The-Money (Otm) Options-5 (4:24)
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Start02.06. Buyer And Seller Risk Profiles-6 (4:21)
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Start02.07. Risk Graphs-7 (5:57)
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Start02.08. Option Chain And Quote Screen-8 (3:04)
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Start02.09. Practical Stock Example - Choice Of Expiry Series And Itm, Atm And Otm Options-9 (8:04)
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Start02.10. Call Option Performance In Real-Time And On The Day Of Expiry-10 (4:58)
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Start02.11. Risk Graphs Of Itm, Atm And Otm Options-11 (1:35)
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Start02.12. Option Sellers Risk Profile-12 (5:10)
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Start02.13. Real-World Example Of Put Options.Mp4-13 (3:08)
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Start03.01. What Is Time Decay-1 (3:31)
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Start03.02. Practical Examples Of Time Decay-2 (5:59)
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Start04.01. What Is Implied Volatility-1 (2:47)
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Start04.02. Practical Examples Of Implied Volatility-2 (3:02)
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Start05.01. What Are Option Greeks-1 (3:36)
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Start5.03. Option Gamma-5 (7:49)
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Start05.02. Option Delta-2 (7:27)
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Start05.04. Option Vega-3 (4:52)
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Start05.05. Option Theta-4 (8:34)
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Start06.01. Long Call Strategy-1 (7:47)
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Start06.02. Long Put Strategy-2 (7:28)
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Start06.03. Trade Set Up For Monthly Options (Indicators Settings)-3 (13:39)
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Start06.04. Covered Call Strategy-4 (5:49)
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Start06.05. Protective Put Strategy-5 (6:54)
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Start06.06. Writing Put Strategy (Selling Put Options)-6 (7:28)
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Start07.01. Bull Call Spread Strategy-1 (13:28)
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Start07.02. Bull Put Spread Strategy-2 (8:42)
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Start07.03 Bear Call Spread Strategy-3 (8:03)
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Start07.04. Bear Put Spread Strategy-4 (6:48)
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Start07.05. Call Back Spread Strategy-5 (4:56)
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Start07.06. Profitable Condition For Call Back Spread-6 (10:04)
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Start07.07. Put Back Spread Strategy-7 (3:48)
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Start07.08. Profitable Condition For Put Back Spread Strategy-8 (7:37)
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Start08.01. Short Strangle Strategy-1 (6:39)
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Start08.02. Collar Strategy-2 (6:30)
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Start08.03. Long Butterfly Spread Strategy-3 (7:14)
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Start09.01. Long Straddle Strategy-1 (5:22)
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StartScript Text Files
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Start00 Project Preview (2:48)
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Start01 Build A Dataset (23:44)
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Start02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
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Start03 Compute Support And Confidence For All Channels (14:21)
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Start04 Determine Which Videos Are Best To Recommend (9:57)
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StartSource Files
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Start01 What Is Natural Language Processing (5:39)
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Start01 Projects Preview (4:49)
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Start02 What Is Text Vectorization (7:34)
-
Start03-01 Train A Vectorizer (8:50)
-
Start03-02 Chat With The User (11:04)
-
Start04-01 Define A Basic Intent Classifier (7:42)
-
Start04-02 Define A Basic Generative Model (4:05)
-
Start04-03 Test The Chatbot (9:33)
-
StartSource Files
-
Start00 Project Preview (4:04)
-
Start01 01 Load A Dataset (9:43)
-
Start01 02 Analyze The Main Feature (2:46)
-
Start01 03 Analyze Numerical Features (7:26)
-
Start01 04 Analyze Categorical Features (9:32)
-
Start02 01 Find Relationships Between Numerical Features (11:26)
-
Start02 02 Find Relationships Between Categorical Features (7:51)
-
Start02 03 Build Conditional Plots (7:03)
-
StartSource Files
-
Start00A Project Preview (4:13)
-
Start00B What Is Flask (3:45)
-
Start00C What You-ll Need (1:49)
-
Start01 01 Build Your First Flask App (13:26)
-
Start01 02 Render HTML On Multiple Pages (10:53)
-
Start01 03 Build Page Templates With HTML (9:31)
-
Start01 04 Build Dynamic Page Templates (5:36)
-
Start01 05 Display JSON Data (5:21)
-
Start01 06 Build A Template To Show All Data (9:16)
-
StartSource Files
-
Start00A Project And Database Preview (2:37)
-
Start00B What Is Sqlite (4:01)
-
Start01 What You-ll Need (1:54)
-
Start01 02 Create A Database (4:00)
-
Start01 03 Build Database Tables (5:25)
-
Start01 04 Insert Records (9:18)
-
Start01 05 Select Records (5:48)
-
Start01 06 Connect To A Database (3:19)
-
Start01 07 Build A Row From User Input (10:27)
-
Start01 08 Check If Entry Already Exists (5:39)
-
Start01 09A Introduction To SQL Joins (3:53)
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Start01 09B Build SQL Joins (11:32)
-
StartSource Files
-
Start00 Project Preview (2:33)
-
Start01 What Is Apache Spark (2:37)
-
Start02 What Are Resilient Distributed Datasets (1:08)
-
Start03A What Is A Dataframe (1:47)
-
Start03B What You-ll Need (1:47)
-
Start04 Start A Spark Session (3:47)
-
Start05 Load Data As A CSV (6:02)
-
Start06 Perform Basic Dataframe Operations (4:02)
-
Start07 Format Dataframe Table (5:14)
-
Start08 Perform Dataframe Math Operations (7:32)
-
Start09 Perform Dataframe Queries (14:22)
-
Start10 Build SQL Queries With Spark (7:24)
-
StartSource Files
-
Start00 What Is Web Scraping (5:39)
-
Start01 What You-ll Need (1:30)
-
Start02 Build An Html Webpage To Scrape (12:42)
-
Start03 Select Data Structures From A Webpage (5:48)
-
Start04 Extract Urls And Text (5:24)
-
Start05 Work With Tags (8:06)
-
Start06 Work With Attributes (5:19)
-
Start07 Add Navigation To A String (5:29)
-
Start08 Navigate Html Contents (7:16)
-
Start09 Find All Filter (4:52)
-
StartSource Files
-
Start00 01 Project Preview (1:39)
-
Start00 02 What Is Plotly And Dash (3:59)
-
Start00 03 What You-ll Need (2:09)
-
Start3-01 Build A Dash App (11:44)
-
Start3-02 Build A Graph In The Dash App (12:05)
-
Start4-01 Load Data From Vega Datasets (5:33)
-
Start4-02 Build The Layout (10:27)
-
Start4-03 Build A Chart With Altair (11:56)
-
StartSource Files
-
Start01 Project Preview (3:29)
-
Start01 Create A Dataset (5:17)
-
Start02 Vectorize Text (16:27)
-
Start03 Build A Word Cloud (7:08)
-
Start04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
-
Start05 Perform Unsupervised Classification With K-Means Clusters (17:33)
-
StartSource Files
-
Start00 Course Overview - Python Crypto Stock Analysis (4:32)
-
Start01 01 Visualize Stock Prices With Pyplot (4:21)
-
Start01 02 Calculate Yearly Returns On Crypto Stocks (4:06)
-
Start02 00 Project Overview - Stock Portfolio Analysis With Python (2:35)
-
Start02 01 Build A Stock Portfolio (3:03)
-
Start02 02 Calculate Stock Portfolio Performance With Python (6:36)
-
Start02 03 Visualize Crypto Portfolio Returns With Pyplot (3:41)
-
Start02 04 Analyze Stock Portfolio Returns With Data Science (6:32)
-
Start02 05 Calculate Expected Cryptocurrency Returns With Pandas (3:04)
-
Start02 06 Visualize Stock Drawdowns With Python (4:13)
-
Start03 01 Build Sma And Ema With Ta-Lib (4:46)
-
Start03 02 Calculate Bollinger Bands For Crypto Stock (5:00)
-
Start03 03 Calculate Rsi For Stocks With Python (4:25)
-
Start03 04 Calculate Obv For Crypto Price Prediction With Python (5:02)
-
Start03 05 Calculate Moving Average Convergence Divergence (3:21)
-
Start04 00 Project Overview - Time Series Stock Forecasting On Crypto Stock With Python (2:25)
-
Start04 01 Fit A Prophet Model For Stock Forecasting (10:08)
-
Start04 02 Visualize Stock Forecast With Python (2:47)
-
Start05 01 Calculate Risk Vs Return Of Crypto Stock (5:55)
-
Start05 02 Visualize Risk Vs Return In Python (8:38)
-
StartSource files
-
Start00 Project Preview (2:48)
-
Start01 Build A Dataset (23:44)
-
Start02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
-
Start03 Compute Support And Confidence For All Channels (14:21)
-
Start04 Determine Which Videos Are Best To Recommend (9:57)
-
StartSource Files
-
Start00 Course Overview - Python Crypto Machine Learning (6:11)
-
Start02-00 Regression Introduction (8:58)
-
Start02-01 What Is Regression (19:55)
-
Start02-02 What Is Linear Regression (5:03)
-
Start03-03A Why Do We Need Svm (7:15)
-
Start03-03B How Does Svm Work (6:28)
-
Start03-03C Svm On Non-Linear Data (4:48)
-
Start03-03D What Are Svm Kernels (4:44)
-
Start03-03E What Is The Precision-Recall Score (4:42)
-
Start04-00 Project Overview (3:00)
-
Start04-01 Load Eth Data From Yahoo Finance With Python (3:45)
-
Start04-02 Build Regression Models To Predict Eth Price (7:14)
-
Start05-03 Make Decisions With Decision Trees (10:51)
-
Start05-04 What Is The Random Forest Classifier Model (5:42)
-
Start06-03 Build Tree Regression Models To Predict Crypto Price (2:55)
-
Start06-04 Compare Regression Model Results For Asset Prediction (3:18)
-
Start07-01 Project Overview - Adaboost Stock Prediction (7:28)
-
Start07-02 Build Stock Dataset For Machine Learning (5:33)
-
Start07-03 Build An Adaboost Regression Machine Learning Model For Stock Prediction (6:47)
-
Start07-04 Find Best Ml Model With Optimal Number Of Estimators (15:18)
-
Start08-00 What Is Naive Bayes Machine Learning (1:34)
-
Start08-01 What Is Gaussian Probability Distribution- (2:31)
-
Start09-00 Project Overview (7:05)
-
Start09-01 Load And Prepare Crypto Data In Colab (8:32)
-
Start09-02 Build Classification Models To Predict Stock (7:59)
-
Start09-03 Build Tree Classification Models To Predict Crypto Price (3:25)
-
Start09-04 Compare Classification Model Results With Numpy And Pandas (3:51)
-
Start10-01 Load Yfinance Data Into Colab (4:10)
-
Start10-02 Build Trading Signals With Sma Windows (3:50)
-
Start10-03 Calculate And Visualize Strategy Returns (2:48)
-
Start10-04 Prepare Data For Machine Learning (6:40)
-
Start10-05 Build A Support Vector Classifier With Sklearn (3:01)
-
Start10-06 Calculate And Visualize Returns From Model (4:08)
-
StartSource Files
-
Start02-01 Get Twitter Developer API (6:49)
-
Start00 Course Overview (8:08)
-
Start02-02 Get Latest Tweet Via API (12:53)
-
Start02-03 Check If Tweeted About Cryptocurrency (5:59)
-
Start03-01 What Is Sentiment Analysis (10:28)
-
Start03-02 Analyze Tweet Sentiment (11:02)
-
Start04-01 Get Coinbase Pro Sandbox API (6:40)
-
Start04-02 Open Coinbase Pro Sandbox Account Via API (17:45)
-
Start04-03 Test Buy From Coinbase Sandbox Via API (7:44)
-
Start05-01 Get Coinbase API (5:33)
-
Start05-02 Buy Cryptocurrency From API (6:56)
-
Start06 Run Bot All Day (6:11)
-
Start07-01 How To Access Kraken API (5:22)
-
Start07-02 Buy Doge Algorithmically (5:22)
-
Start08-00 Project Preview (3:25)
-
Start08-01 Fetch Crypto Stock Data (5:40)
-
Start08-02 Visualize Crypto Data (4:32)
-
Start08-03 Scrape Historical Tweets (13:11)
-
Start08-04 Filter Tweets About Crypto Only (4:21)
-
Start08-05 Visualize Tweet Effects On Crypto Value (7:05)
-
Start09 Challenge - How To Expand Bot (2:47)
-
StartSource Files
-
Start00 Project Preview (3:17)
-
Start03-01 Fetch Stock Data (9:12)
-
Start03-02 Visualize Stock Data Features (7:32)
-
Start03-03 Calculate Daily Return (3:27)
-
Start03-04 Compare Returns Of Different Stocks (10:45)
-
Start03-05 Compare Closing Prices (8:48)
-
Start04-01 Visualize Standard Deviation And Expected Returns (5:44)
-
Start04-02 Calculate Value At Risk (3:52)
-
Start04-03 Monte Carlo Analysis To Estimate Risk (9:11)
-
Start04-04 Visualize Price Distribution (9:07)
-
StartSource Files
-
Start04-01 Fetch Twitter Sentiment And Stock Prices Datasets (5:34)
-
Start04-02 Merge Datasets Into Dataframe (11:46)
-
Start05-00 Project Preview (2:27)
-
Start05-01 What Is The Random Forest Classifier Model (5:42)
-
Start05-02 Process Stock And Sentiment Dataframe (5:48)
-
Start05-03 Processing And Sorting Sentiment Data-1 (14:40)
-
Start05-04 Calculate Stock Trend (Rising Or Falling) (8:16)
-
Start05-05 Build A Binary Encoding Of Sentiment (5:14)
-
Start05-06 Split And Scale Data (13:56)
-
Start05-07 Build A Random Forest Classifier Model (13:06)
-
Start05-08 Evaluate The Model (6:48)
-
Start06-00 Project Preview (1:33)
-
Start06-01 What Is Gradient Boosting (1:56)
-
Start06-02 Test Different Learning Rates (8:09)
-
Start06-03 Make A Prediction With A Gradient Boosting Classifier (7:13)
-
Start06-04 Evaluate The Model (3:20)
-
StartSource Files
-
Start00-01b What You-ll Learn (7:12)
-
Start00-02 What Is Tensorflow Js (4:28)
-
Start00-03 Load Tensorflow Object (4:28)
-
Start01a-00 Linear Algebra For Machine Learning (4:44)
-
Start01a-01 Build Tensors (13:33)
-
Start01a-02 Tensor Utility Methods (9:12)
-
Start01a-03 Perform Math With Tensors (9:56)
-
Start01b-01 Build A Scatter Plot (8:41)
-
Start01b-02 Build A Bar Chart (5:33)
-
Start01b-03 Build A Histogram (6:39)
-
Start01c-01 Build Sample Data (5:16)
-
Start01c-02 Build The Model (11:14)
-
Start01c-03 Make A Prediction (7:47)
-
Start01d-01 Generate Data (13:38)
-
Start01d-02 Visualize Data (16:10)
-
Start02-00 What Is Linear Regression (7:52)
-
Start02-01 Prepare Training Data (7:10)
-
Start02-02 Build The Model (14:05)
-
Start02-03 Make A Prediction (3:53)
-
Start02b-01 Set Up The Canvas (3:48)
-
Start02b-02 Draw A Data Sample (6:20)
-
Start02b-03 Create Loss And Prediction Functions (6:00)
-
Start02b-04 Collect User Input For Data (8:50)
-
Start02b-05 Visualize Linear Regression With Dynamic Data (6:46)
-
Start03-01 Set Up The Canvas (11:00)
-
Start03-02 Visualize Linear Regression With Dynamic Data (16:33)
-
Start04-01 Generate Samples (6:21)
-
Start04-02 Generate A Prediction Equation With Weights (6:54)
-
Start04-03 Train The Model (5:26)
-
Start04-04 Visualize Predictions (18:01)
-
Start04-05 Visualize Prediction Error (10:00)
-
Start05-01 Load Models Into Html (5:51)
-
Start05-02 Train Model On Images (13:13)
-
Start05-03 Make A Prediction (6:58)
-
StartSource Files
-
Start00 What You-ll Learn (7:44)
-
Start04-00a What Is Deep Learning (6:08)
-
Start04-00b What Is A Neural Network (8:06)
-
Start04-01 Build A Perceptron (13:26)
-
Start04-02 Build A Sigmoid Function (8:01)
-
Start04-03 Build A Sigmoid Perceptron (7:35)
-
Start04-04 Build A Relu Activation Function (7:12)
-
Start04-05 Build A Leaky Relu Activation Function (6:10)
-
Start05-01 Build Neural Network Layers (9:57)
-
Start05-02 Train And Test The Neural Network (11:24)
-
Start06-01 Build A Dataset-1 (8:26)
-
Start06-02 Build A Neural Network-2 (5:35)
-
Start06-03 Train The Neural Network-3 (10:05)
-
Start06-04 Make A Prediction With The Neural Network-4 (8:43)
-
Start07-00 What Is Cross Validation-1 (8:24)
-
Start07-01 Load A Model Into Html-2 (4:57)
-
Start07-02 Use A Neural Network In Your Website-3 (8:49)
-
Start07-03 Show Neural Network Results On Website-4 (5:34)
-
Start08-01 Build A Dataset For Xor-1 (6:32)
-
Start08-02 Build A Neural Network For Xor-2 (5:19)
-
Start08-03 Train And Test The Neural Network-3 (11:06)
-
Start09-01 Load An Rnn Into Your Website-1 (5:37)
-
Start09-02 Set Up The Canvas-2 (7:06)
-
Start09-03 Draw With A Neural Network-3 (8:50)
-
Start10-01 Load An Image For Object Detection-1 (6:13)
-
Start10-02 Load A Neural Network For Object Detection-2 (6:15)
-
Start10-03 Outline Objects In The Image-3 (12:17)
-
Start11-01 Build A Deep Neural Network With Gradient Descent From Scratch-1 (9:21)
-
Start11-03 Build A Deep Neural Network With Gradient Descent With Tensorflow Js-2 (11:24)
-
Start11-04 Build A Deep Neural Network With Backpropagation-3 (7:03)
-
Start11-05 Build The Backpropagation-4 (16:56)
-
Start12-01 Reduce Neural Network Error-1 (17:12)
-
Start12-02 Build A Gradient Descent Algorithm-2 (8:48)
-
Start13 Train The Deep Neural Network With Gradient Descent (15:24)
-
StartTensorflow JS Source Files
-
Start02. What Is Jsbin (3:15)
-
Start01. Course Requirements (2:56)
-
Start03. Setting Up The Html Document (2:41)
-
Start04. Header Tags And Paragraphs Tags (4:06)
-
Start05. Styles (3:32)
-
Start06. Bold Underline And Italic Tags (3:10)
-
Start07. Adding In A Link (1:38)
-
Start08. Adding In A Image (3:01)
-
Start09. Adding A Link To An Image (1:55)
-
Start10. Lists (4:03)
-
Start11. Tables (3:29)
-
Start12. Different Kinds Of Input (4:59)
-
Start13. Adding In A Submit Button (3:01)
-
Start14. Scripts And Style Tags (3:27)
-
Start01. Course Requirements (4:44)
-
Start02. Html, Css And Javascript Crash Course (4:54)
-
Start03. Adding In Functions (4:36)
-
Start04. Scaling Functions (4:27)
-
Start05. Changing The Text In Javascript (4:50)
-
Start06. Variables (5:40)
-
Start07. Arrays (5:30)
-
Start08. Objects (6:36)
-
Start09. Variable Scope (5:04)
-
Start10. Adding User Input Text (5:05)
-
Start11. Calling Functions (3:56)
-
Start12. If Statements (4:49)
-
Start13. Else If And Else Statements (4:05)
-
Start14. Changing The Style With Javascript (5:49)
-
Start02. Html Styles Crash Course (4:45)
-
Start01. Course Requirements (3:41)
-
Start03. Adding Code To The CSS (4:46)
-
Start04. Adding In IDs To The CSS (5:16)
-
Start05. Classes In CSS (2:39)
-
Start06. Font Families (5:04)
-
Start07. Colors In CSS (5:44)
-
Start08. Padding In CSS (3:06)
-
Start09. Text Align And Transforms (3:14)
-
Start10. Margins And Width (5:33)
-
Start11. Changing The Body (4:11)
-
Start12. Latin Text Generator (1:57)
-
Start13. Adding In A Horizontal Menu With HTML And CSS (7:53)
-
Start14. Adding A Background Image (4:04)
-
Start15. Playing Around With Margins In CSS (2:20)
-
Start02-01 Load The Model With Text (4:18)
-
Start02-02 View Model Results Of Text Toxicity (6:40)
-
Start02-03 Clean Up Prediction Results (6:18)
-
Start03-01 Set Up The Speed Recognition Model (6:00)
-
Start03-02 Set Up The Canvas (3:26)
-
Start03-03 Classify Words Through Microphone (6:55)
-
Start03-04 Draw From User Commands (7:35)
-
Start03-05 Optimize The Drawing (5:53)
-
Start04-01 Tidy Tensors (6:26)
-
Start04-02 Keep Tensors (3:10)
-
Start04-03 Dispose Tensors (2:41)
-
Start04-04 Build A Memory Leak Example (4:35)
-
Start05-01 Load Json Data (7:34)
-
Start05-02 Convert Json Data To Tensor (9:08)
-
Start05-03 Visualize Dataset With Tf-Vis (5:38)
-
Start05-04 Build And Train Model (10:22)
-
Start05-05 Visualize Model-s Training Epochs (9:12)
-
Start05-06 Make A Prediction (13:49)
-
Start05-07 Visualize Prediction (9:09)
-
Start06-01 Load Dataset From Json File (6:48)
-
Start06-02 Visualize Dataset-s Features (9:26)
-
Start06-03 Build A Multi Layer Model (7:43)
-
Start06-04 Extract Inputs And Outputs (7:10)
-
Start06-05 Normalize Data (4:47)
-
Start06-06 Train The Model (6:01)
-
Start06-07 Evaluate Model Performance (6:12)
-
Start07-00 What Is Logistic Regression (4:32)
-
Start07-00B Calculate Logistic Regression Accuracy (5:20)
-
Start07-01 Build A Logistic Regression Model (7:08)
-
Start07-02 Train The Logistic Regression Model (15:20)
-
Start07-03 Visualize Logistic Regression Results (12:52)
-
Start07-04 Visualize Original Data (12:13)
-
Start07-05 Visualize Model Error (7:37)
-
Start08-00 What Is Fast Fourier Transform (2:42)
-
Start08-01 Build And Visualize A Dataset (10:48)
-
Start08-02 Visualize Frequencies With Fast Fourier Transform (11:53)
-
Start08-03 Visualize Inverse Fast Fourier Transform (5:44)
-
Start09-00 What Is Principal Component Analysis (6:13)
-
Start09-01 Build Principal Component Analysis (6:24)
-
Start09-02 Calculate Variance Of Data And Principal Component Analysis (9:28)
-
Start09-03 Visualize Data Slices (12:01)
-
Start09-04 Visualize Principal Component Analysis Results (3:03)
-
StartSource Files
-
Start02-01 Build Training Data (7:34)
-
Start02-00 What Is One Hot Encoding (6:53)
-
Start02-02 Build The Neural Network (6:48)
-
Start02-03 Train The Neural Network (9:33)
-
Start02-04 Make A Prediction (10:11)
-
Start03-01 Build Training Data To Represent Images (12:15)
-
Start03-02 Build The Convolutional Neural Network (10:39)
-
Start03-03 Train The Convolutional Neural Network (9:06)
-
Start03-04 Make A Prediction Of Number Of Lines (15:05)
-
Start04-00 What Is A Recurrent Neural Network (6:38)
-
Start04-01 Generate Sequence And Label (6:25)
-
Start04-02 Generate Dataset (6:02)
-
Start04-03 Build The Lstm Model (4:55)
-
Start04-04 Train The Model (11:25)
-
Start06-01 Process Iris Data (7:37)
-
Start06-02 Convert Data To Tensors (8:45)
-
Start06-03 Separate Training And Testing Data (8:54)
-
Start06-04 Create Training And Testing Datasets (4:42)
-
Start06-05 Build The Model (9:29)
-
Start06-06 Train The Model (4:11)
-
Start06-07 Make A Prediction (8:45)
-
Start07-01 Load Model And Dataset (5:57)
-
Start07-02 Get User Input For Sentiment Analysis (10:59)
-
Start07-03 Make A Prediction (7:11)
-
Start08-00 What Is A Convolutional Neural Network (19:29)
-
Start08-01 Set Up Canvas To Load Image Data (10:36)
-
Start08-02 Load Mnist Dataset (6:47)
-
Start08-03 Separate Training And Testing Data (5:40)
-
Start08-04 Build The Model (6:48)
-
Start08-04A What Are The Network-s Layers (14:14)
-
Start08-05 Train The Model (11:27)
-
Start08-06 Create Training Batches (6:14)
-
Start08-07 Create Testing Batches (11:31)
-
Start08-08 Fit Neural Network Through Data (8:54)
-
StartSource Files
-
Start00 Course Overview (4:39)
-
Start04-00 Backtesting Simple Moving Averages Explained (2:05)
-
Start04-01 Load Data For Backtesting Sma With Vectorbt (3:20)
-
Start04-02 Build Trading Strategies With Vectorbt (3:40)
-
Start04-03 Simulate Portfolio With Vectorbt (3:41)
-
Start04-04 Visualize Trading Strategy With Kaleido (4:40)
-
Start04b-00 What Is The Big Three Trading Strategy (2:27)
-
Start04b-01 Big Three Trading Strategy On Binance Coin (6:58)
-
Start04b-02 Big Three Trading Strategy On 1 Year Of Stocks (2:38)
-
Start05-00 Ema Trading Strategy For Crypto - Overview (2:57)
-
Start05-01 Load Data With Cryptometrics Api (7:53)
-
Start05-02 Visualize Historical Stock Prices With Matplotlib (6:31)
-
Start05-03 Build Exponential Moving Average Trading Strategy (3:54)
-
Start05-04 Visualize Price Vs Stock Indicators (5:37)
-
Start06-00 Autocorrelation Explained For Crypto Stock Prediction (2:45)
-
Start06-01 Load Data For Crypto Price Autocorrelation With Pandas (5:52)
-
Start06-02 Visualize Crypto Price Data With Pyplot (3:14)
-
Start06-03 Apply Hodrick-Prescott Filter To Data With Python (4:10)
-
Start06-04 Calculate Autocorrelation With Python (3:25)
-
StartSource Files
-
Start00 Project Preview (1:58)
-
Start03-01 Make An API Call (6:18)
-
Start03-02 Convert Data To A Pandas Dataframe (9:41)
-
Start03-03 Batch Api Calls To Improve Performance (11:23)
-
Start03-04 Calculate The Number Of Shares To Buy (7:18)
-
Start03-05 Build An Excel File From The Pandas Dataframe (4:18)
-
Start04-00 Project 2 Preview (2:42)
-
Start04-01 Make An API Call (9:47)
-
Start04-02 Execute A Batch API Call (14:59)
-
Start04-03 Remove Low Momentum Stocks (6:06)
-
Start04-04 Calculate The Number Of Shares To Buy (7:53)
-
Start04-05 Find High Quality Momentum Stocks (11:42)
-
Start04-06 Calculate Momentum Percentiles (7:19)
-
Start04-07 Find The 50 Best Momentum Stocks (8:10)
-
Start04-08 Calculate New Number Of Shares To Buy (5:30)
-
Start04-09 Build An Excel File (3:41)
-
Start05-00 Project 3 Preview (1:55)
-
Start05-01 Build A Dataframe (5:58)
-
Start05-02 Remove Glamour Stocks (5:01)
-
Start05-03 Calculate The Number Of Shares To Buy (3:51)
-
Start05-04 Build A Composite Of Valuation Metrics (15:22)
-
Start05-05 Clean Dataframe (5:49)
-
Start05-06 Calculate Value Percentiles (4:50)
-
Start05-07 Find The 50 Best Value Stocks (6:58)
-
Start05-08 Calculate New Number Of Shares To Buy (3:24)
-
StartSource Files
-
Start03-01 Fetch Historic Rates (8:12)
-
Start00 Projects Preview (5:48)
-
Start03-02 Calculate Simple Moving Average (5:26)
-
Start04-01 Fetch Spot Price (5:51)
-
Start04-02 Fetch Historical Data (2:24)
-
Start05-01 Check Coinbase Account Balance (7:42)
-
Start05-02 Buy And Sell Cryptocurrency Algorithmically (9:58)
-
Start05-03 Send And Request Bitcoin Algorithmically (3:19)
-
StartSource Files
-
Start00 Course Overview (8:42)
-
Start01-00 Blockchain Introduction (8:32)
-
Start01-01 What Are Blockchains And Distributed Ledgers (3:48)
-
Start01-02A What Are Bitcoin And Ethereum (5:28)
-
Start01-02B Ethereum Blockchain Properties (10:22)
-
Start01-02C Ethereum Deep Dive (10:23)
-
Start01-03 What Are Smart Contracts (2:01)
-
Start01-04 What Is The Solidity Programming Language (4:01)
-
Start01-05 What Is An NFT (2:44)
-
Start02-01 Introduction To Ethereum Remix IDE (8:12)
-
Start03-01 Build Your First Contract (8:48)
-
Start03-02 Change A State Variable Value (5:56)
-
Start04-01 Build A Local Variable (4:28)
-
Start04-02 Build State Variables Of Different Data Types (10:55)
-
Start04-03 Build A Custom Data Type With A Struct (4:47)
-
Start05-01 Build Arrays (11:07)
-
Start05-02 Build Array Functions (6:17)
-
Start06-01 Build A Mapping (6:20)
-
Start06-02 Build A Database-Like Mapping (7:42)
-
Start06-03 Assign Ownership To Individual Ethereum Addresses (4:59)
-
Start07-01 Build A Conditional (6:57)
-
Start07-02 Build A Loop (9:25)
-
Start08 Send Ether (8:31)
-
Start09-00 Build A Profit Splitter Contract (11:48)
-
Start09-01 Build A Contract With Limited Addresses (11:40)
-
Start09-02 Build A Contract And Library (15:01)
-
Start09-03 Build A Contract With A Limited Time Transaction (10:20)
-
Start09-04 Build Contracts With Inheritance (13:22)
-
Start09-05 Build Contracts With Visibility Modifiers (10:50)
-
Start09-06 Build A Contract With Mutability Modifiers (10:20)
-
Start09-07 Build An Abstract Contract (13:09)
-
Start09-08 Build A Bank Contract (9:25)
-
Start09-09 Access Struct Value (4:13)
-
Start10-01 What You Need To Deploy A Contract (9:47)
-
Start10-02 Build A New Truffle Project (6:46)
-
Start10-03 Build A Smart Contract (5:10)
-
Start10-04 Deploy The Contract On A Live Blockchain (13:42)
-
StartSource Files
-
Start01 What You-ll Need (6:11)
-
Start00 Course Overview (8:12)
-
Start01c-00 What Is Node JS (8:22)
-
Start01c-01 Install Node And Npm On Mac Or Windows (3:14)
-
Start02-00 What Is Truffle Ethereum (1:29)
-
Start02-01 Build A Truffle Project (8:39)
-
Start03-00 What Are Nft Token Standards (5:42)
-
Start03-01 Install Openzeppelin Nft Token Standard (10:08)
-
Start03-02 Build NFT Smart Contract (12:14)
-
Start04-00 Introduction To Testing Smart Contracts (2:23)
-
Start04-01 Build A Test For Your Nft Smart Contract (7:16)
-
Start05-00 What Is Ganache (1:42)
-
Start05-01 Deploy Smart Contract With Ganache Personal Blockchain (7:40)
-
Start06 Test Nft Contract Properties (5:40)
-
Start07-01 Build Mint Tokens Functionality (6:20)
-
Start07-02 Test Minting Tokens (9:20)
-
Start07-03 Test Indexing Tokens (6:32)
-
Start08a-00 Why You Should Learn React (5:30)
-
Start08a-01 React Introduction (12:33)
-
Start08a-02 Set Up A Container (8:13)
-
Start08a-03 Generate A List (6:46)
-
Start08a-04 Add Items To The List (6:34)
-
Start08a-05 Clear Input Field (10:26)
-
Start08a-06 Remove A Task (10:39)
-
Start08b Build Index HTML File (3:49)
-
Start09-00 What Is Web3js (2:06)
-
Start09-01 Build App And Load Web3 (4:48)
-
Start09-02 Run Project With React-Scripts (10:29)
-
Start09-03A Install Metamask (2:14)
-
Start09-03B Load Blockchain Data (10:27)
-
Start10-01 Build A Form To Mint Tokens (6:26)
-
Start10-02 Send Client Mint Request To The Contract (8:35)
-
Start10-03 Mint Tokens With Truffle Console (4:37)
-
StartSource files
-
Start01 01 Introduction To The Course (1:30)
-
Start01 03 Why Should You Learn Javascript (0:51)
-
Start01 04 Quick Win (1:36)
-
Start01 05 Course Requirements (0:39)
-
Start02 01 What Will We Learn In This Section (0:43)
-
Start02 02 Declare Variables With Let And Const (15:45)
-
Start02 03 Blocks And Iifes (11:41)
-
Start02 04 Strings In Es2020 (11:40)
-
Start02 05 Coding Challenge (0:47)
-
Start02 06 Coding Challenge Solution (2:05)
-
Start02 07 Section Summary (0:44)
-
Start03 01 What Will We Learn In This Section (0:40)
-
Start03 02 Basics Of Arrow Functions (14:59)
-
Start03 03 Lexical This Keyword (10:28)
-
Start03 04 Coding Challenge (0:43)
-
Start03 05 Coding Challenge Solution (3:04)
-
Start03 06 Section Summary (0:43)
-
Start04 01 What Will We Learn In This Section (0:31)
-
Start04 02 Destructuring (15:31)
-
Start04 03 Arrays In Es2020 (16:32)
-
Start04 04 Spread Operator (12:52)
-
Start04 05 Coding Challenge (0:48)
-
Start04 06 Coding Challenge Solution (3:43)
-
Start04 07 Section Summary (0:45)
-
Start05 01 What Will We Learn In This Section (0:36)
-
Start05 02 Rest Parameters (15:56)
-
Start05 03 Default Parameters (18:34)
-
Start05 04 Coding Challenge (0:49)
-
Start05 05 Coding Challenge Solution (3:59)
-
Start05 06 Section Summary (0:31)
-
Start06 01 What Will We Learn In This Section (0:43)
-
Start06 02 Maps (20:26)
-
Start06 03 Coding Challenge (0:40)
-
Start06 04 Coding Challenge Solution (2:47)
-
Start06 05 Section Summary (0:26)
-
Start07 01 What Will We Learn In This Section (0:38)
-
Start07 02 Classes (16:26)
-
Start07 03 Classes With Subclasses (16:36)
-
Start07 04 Coding Challenge (0:56)
-
Start07 05 Coding Challenge Solution (2:49)
-
Start07 06 Section Summary (0:52)
-
Start08 01 What Will We Learn In This Section (1:01)
-
Start08 02 Asynchronous Javascript Example (11:18)
-
Start08 03 The Event Loop (12:15)
-
Start08 04 Asynchronous Javascript With Callbacks (9:17)
-
Start08 05 Promises (21:15)
-
Start08 06 Async Await (11:41)
-
Start08 07 Ajax And Apis (6:36)
-
Start08 08 Make Ajax Calls With Fetch And Promises (11:25)
-
Start08 09 Make Ajax Calls With Fetch And Async Await (7:29)
-
Start08 10 Coding Challenge (0:45)
-
Start08 11 Coding Challenge Solution (7:40)
-
Start08 12 Section Summary (0:55)
-
Start09 01 Course Summary And Next Steps (2:25)
-
Start00a-01 What You-ll Need - Web3 (3:34)
-
Start00a-00 Course Overview - Web 3.0 (12:56)
-
Start00a-02 Web 3.0 Fundamentals (12:17)
-
Start01a-00 Project Overview (6:35)
-
Start01a-01B What Is Truffle Ethereum (1:29)
-
Start01a-02 What Is Web3js (1:29)
-
Start01a-03 Install Metamask (2:14)
-
Start01a-04 What Is Ganache (1:42)
-
Start01b-01 Build And Compile Truffle Solidity Smart Contract (6:10)
-
Start01b-02 Deploy And Migrate Truffle Solidity Smart Contract (9:26)
-
Start01d-00 Project Preview (1:52)
-
Start01d-01 Build A New React App (4:08)
-
Start02-02 Build A Main Component (5:40)
-
Start02-03 Display Main Component On Webpage (2:10)
-
Start02-04 Build A Signin Component (2:53)
-
Start03-05 Build Sign In Handler In Sign In Component (6:59)
-
Start03-06 Handle Signin In App Component (9:47)
-
Start03-07 Test With Ganache And Metamask (4:31)
-
Start03-08 Tips For Debugging Web3 Dapps (2:36)
-
Start04-00 Project Preview (1:31)
-
Start04-01 Build A React App With Components (6:11)
-
Start04-02 Detect Metamask Crypto Wallet With Web3 (10:28)
-
Start04-03 Connect Components To App (7:41)
-
Start04-04 Handle Account Or Network Change (10:48)
-
Start05-00 Project Preview (3:45)
-
Start05-01 Build A New Truffle Project Project (14:10)
-
Start05-02 Build A Local Blockchain With Ganache CLI (15:58)
-
Start05-03 Deploy Contracts To Local Blockchain (10:58)
-
Start05-04 Send Transaction To Run Function On Your Contract (5:41)
-
Start06-05 Use Infura To Connect To Public Networks (4:03)
-
Start06-06 Fork Infura Client To Local Ganache Blockchain (16:32)
-
Start07-01 Build A New Truffle Project (1:54)
-
Start07-02 Configure Metamask To Use Mumbai Testnet (4:25)
-
Start07-03 Get An Rpc Url Key With Maticvigil (2:38)
-
Start07-04 Build An Nft Solidity Smart Contract (7:38)
-
Start08-05 Build Collection Data And Nft Data (3:46)
-
Start08-06 Upload Images And Json To Pinata Ipfs (4:12)
-
Start09-07 Migrate Contracts To Mumbai Network (7:01)
-
Start09-08 Mint Tokens At Contract Address (11:31)
-
Start09-09 View NFT On Opensea (6:24)
-
Start10-00 Project Overview (11:29)
-
Start10-01 Build A New Hardhat Project (3:13)
-
Start10-02 Build A Simple Nft Contract With Openzeppelin Erc721 Standard (6:03)
-
Start10-03 Test Smart Contract With Ethereum Waffle (11:56)
-
Start10-04 Log To Console In Solidity With Hardhat (3:46)
-
Start10-05 Deploy Contract To Local Network (7:31)
-
Start12-03 Build Html To Interact With Smart Contract Via Website (5:41)
-
Start12-04 Connect To Metamask With Javascript Web3 (9:55)
-
Start12-05 Enable User To Interact With Smart Contract Via Website (8:16)
-
Start12-06 Test Dapp With Server, Metamask And Ganache (10:53)
-
Start13-00 Project Overview (4:14)
-
Start13-01 Build React Truffle Project From Scratch (2:27)
-
Start13-02 Build A Smart Contract For Minting NFTs (8:56)
-
Start14-03 Initialize Web3 In React (7:05)
-
Start14-03A Understanding Initializing Web3 (2:02)
-
Start14-04 Deploy Smart Contract To Get Address And Abi (6:52)
-
Start14-05 Build Frontend Nft Minting Functionality (7:34)
-
Start14-06 Build Website Elements For User Interaction (8:54)
-
Start14-07 Test Project With Metamask And Ganache (6:44)
-
Start15a-00 Project Overview (2:44)
-
Start15a-01 Set Up Truffle Dapp With Create React App (3:25)
-
Start15a-02 Build A To Do List Smart Contract (7:19)
-
Start15b-03 Connect To Smart Contract In Web App (9:15)
-
Start15b-04 Migrate Smart Contract On Local Ganache Blockchain (8:16)
-
Start15b-05 Build Api Key Env Variable From Blocknative Notifier (3:55)
-
Start15b-06 Connect Backend Smart Contract Functionality To Frontend (6:50)
-
Start15b-07 Listen For Messages From Metamask Browser Wallet (4:54)
-
Start15c-08 Build Website Elements For User Interaction (6:25)
-
Start15c-09 Test Project With Metamask And Ganache (4:39)
-
Start15c-10 Style Completed Tasks (3:09)
-
StartSource files
-
Start00 Course Overview (4:47)
-
Start02-01 What Is The XRP Ledger (5:10)
-
Start02-02 What Is The XRPL Consensus Protocol (5:25)
-
Start02-03 Xrpl Ecosystem (3:19)
-
Start02-04 Xrp And Ripple Company (1:24)
-
Start02-05 Xrpl Payment Types (1:22)
-
Start05-01 Access Xrpl With A Web Browser (6:06)
-
Start05-02 Xrpl Public Server Explained (1:43)
-
Start05-03 How To Debug Javascript (3:14)
-
Start05-04 Connect To Xrpl Testnet With Js (2:23)
-
Start05-05 Look Up Xrpl Transaction With Js (3:57)
-
Start05-06 Convert Drops To Xrp With Js (1:33)
-
Start06-01 Build An Xrpl Crypto Wallet And Keys (2:34)
-
Start06-02 Build And Fund Xrpl Testnet Wallet (3:11)
-
Start07-01 Prepare Xrp Transaction With Js (5:00)
-
Start07-02 Sign And Submit Xrp Transaction With Js (3:58)
-
Start08-01 Introduction To Xrpl Websocket (2:32)
-
Start08-02 Connect To Xrp Ledger With Websocket (6:13)
-
Start08-03 Handle Xrpl Server Messages With Websocket (9:34)
-
StartSource files
-
Start01 What Is Metaplex (2:02)
-
Start00 Course Overview (3:52)
-
Start02 Why Choose Metaplex (2:15)
-
Start03-01 What Is Solana_1 (6:56)
-
Start03-02 What Can You Do With The Solana Blockchain (3:57)
-
Start03-03 What Is Metaplex Candy Machine (2:20)
-
Start04-01 Project Overview (1:10)
-
Start06-01 What Is Brew (1:52)
-
Start06-02 Install Brew On Mac (3:34)
-
Start06b-01 What Is Git (3:00)
-
Start06b-02 Install Git On Mac (4:06)
-
Start06b-03 Update Git On Mac (3:56)
-
Start06b-04 Install Git On Windows (3:20)
-
Start06c-01 What Is Yarn (2:16)
-
Start06c-02 Install Yarn On Mac (4:22)
-
Start06d-01 What is yarn (2:16)
-
Start06d-02 Install yarn on Mac (4:22)
-
Start06d-03 Install yarn on Windows (3:32)
-
Start06e-01 What Is Ts-Node (1:52)
-
Start06e-02 Install Ts-Node On Mac (4:05)
-
Start06e-03 Install Typescript And Ts-Node On Windows (2:06)
-
Start07 Install Apple M1 Tools For Metaplex Candy With Brew (3:05)
-
Start08 Install Metaplex And Dependencies (6:08)
-
Start09-01 Build A Crypto Wallet With Solana Tool Suite (3:40)
-
Start09-01 Install Solana Cli On Mac (10:26)
-
Start09-02 Install Solana Cli On Windows (4:15)
-
Start10 Build A Crypto Wallet With Solana Tool Suite (3:40)
-
Start11-01 Build A Devnet Wallet With Solana (6:02)
-
Start11-02 Configure Nft Project For Candy Machine (4:47)
-
Start11-03 Build Nft Asset Metadata For Metaplex Candy (3:38)
-
Start11-04 Upload Nft Assets To Candy Machine (4:51)
-
Start11-05 Verify Nft Assets On Candy Machine (1:34)
-
Start11-06 Mint Nfts With Metaplex Candy Cli (3:13)
-
Start12-07 Build Website For Nft Minting With Metaplex Candy (9:47)
-
Start12-08 Install Phantom Solana Crypto Wallet (6:07)
-
Start12-09 Connect Phantom Wallet To Metaplex Nft Dapp (5:09)
-
StartSource files
-
Start00 Course Overview - Hands-On Cardano Blockchain Crash Course (3:25)
-
Start01-01B What Is A Smart Contract
-
Start01-01 What Is Cardano (3:01)
-
Start01-02 What Can You Do With Cardano (5:04)
-
Start01-03 What Are Cardano Native Tokens (1:24)
-
Start04-01 What Is Brew (1:52)
-
Start04-02 Install Brew On Mac (3:34)
-
Start05-01 What Is Git (3:00)
-
Start05-02 Install Git On Mac (4:06)
-
Start05-03 Update Git On Mac (3:56)
-
Start05-04 Install Git On Windows (3:20)
-
Start06-01 Install Brew Tools For Cardano On Mac (3:17)
-
Start06-02 Install Ghc And Cabal On Mac (6:58)
-
Start06-03 Download And Compile Cardano (11:39)
-
Start07 Install Cardano Cli And Cardano Node On Windows (6:50)
-
Start08-01 Set Cardano Node Socket Path (2:22)
-
Start08-02 Generate Cardano Wallet Keys And Address (5:35)
-
Start08-03 Fund Cardano Wallet Address (3:19)
-
Start09-01 Run Cardano Node Via Cli (8:05)
-
Start09-02 Export Cardano Protocol Parameters- (2:44)
-
Start09-03 Check If Cardano Node Fully Synced (2:50)
-
StartSource files
-
Start00 What Is Haskell (10:21)
-
Start00b-Source Files
-
Start01 Build A Function (11:26)
-
Start02 Argument Precendence Example (5:00)
-
Start03 Dollar Notation Example (4:57)
-
Start04 Dot Notation Example (3:32)
-
Start05 Build Data Types (7:18)
-
Start06 Build A Loop With Recursion (4:53)
-
Start07 Use Tuples Example (3:15)
-
Start08 Build Tokens (4:07)
-
Start09 Build A List (5:48)
-
Start10 Build Multi Value Data Types (4:12)
-
Start11 Implement A Recursive List Algorithm (5:49)
-
Start12 Use The Built-In List Type (4:21)
-
Start13 Build A Tokenizer (4:34)
-
Start14 Find If Element Is In List (6:36)
-
Start15 Currying Example (4:38)
-
Start16 Build Guards (5:19)
-
Start17 Convert String To List (3:16)
-
Start18 Build Fibonacci With Guards (6:26)
-
Start00 Course Overview (3:00)
-
Start02-01 Haskell Vs Solidity For Smart Contract Development (2:48)
-
Start02-02 What Is Cabal For Haskell Development (0:56)
-
Start02-03 What Is Hackage For Haskell Development (1:22)
-
Start02-04 What Is A Cabal Package For Haskell Development (2:07)
-
Start03b-01 Install Cabal On Mac Or Linux (4:36)
-
Start03b-02 Install Chocolatey On Windows (2:59)
-
Start03b-03 Install Haskell Compiler And Cabal On Windows (4:55)
-
Start04-01 Build A Hello World Haskell Project With Cabal (5:02)
-
Start04-02 What Is Main Haskell Module In Hello World Cabal Project (9:00)
-
Start04-03 What Is Cabal File In Cabal Project (6:15)
-
Start04-04 Run Haskell Files With Cabal Cli (4:55)
-
Start04-05 Install Haskell Packages With Cabal (6:03)
-
Start05-01 What Is Plutus And (E)Utxo Model Of Smart Contract Development (7:24)
-
Start05-02 What Are Plutus Smart Contracts For Cardano (2:10)
-
Start05-03 What Is A Plutus App On Cardano Blockchain (2:11)
-
Start06-01 Build A Hello World Plutus Contract (4:57)
-
Start06-02 Test Cardano Haskell Smart Contracts With Plutus Simulator (5:32)
-
Startsource files
-
Start00 Course Overview (3:08)
-
Start00c Marlowe Deep Dive (4:48)
-
Start00c-01 Build A Smart Contract In Marlowe (12:28)
-
Start01a Build A Simple Send Crypto Contract (9:04)
-
Start01b Build A Selectable Amount Contract (6:40)
-
Start02-00 Escrow Contract Overview (11:32)
-
Start02-01 Set Up The Contract (6:38)
-
Start02-02 Build The Inner Contract (4:51)
-
Start02-03 Build Agreement And Arbitrate (4:01)
-
Start02-04 Build Choices (4:40)
-
Start02-05 Build Choice Values And Test (5:51)
-
Start03-00 Pay Employees Contract Overview (2:48)
-
Start03-01 Build Employees And Amounts (2:12)
-
Start03-02 Build A Deposit Action (3:45)
-
Start03-03 Build A Payment Contract (2:43)
-
Start03-04 Set Up The Contract (7:10)
-
Start04-00 Token Exchange Contract Overview (3:22)
-
Start04-01 Set Up The Contract (8:53)
-
Start04-02 Build Actions (4:27)
-
Start04-03 Build Agreement Contract (12:29)
-
Start05-00 Fundraiser Smart Contract Overview (1:13)
-
Start05-01 Set Up Contract And Choices (4:15)
-
Start05-02 Pay Fundraising Party (5:12)
-
Start05-03 Build A Refund Contract (3:05)
-
Start05-04 Fundraise From All Parties (7:05)
-
Start06-00 Collateral Escrow Contract Overview (3:24)
-
Start06-01 Set Up Contract (5:32)
-
Start06-02 Build Collaterals (4:00)
-
Start06-03 Build Timeouts (3:02)
-
Start06-04 Issue Refunds (6:27)
-
Start06-05 Burn Collateral (2:51)
-
Start06-06 Build Choices (4:00)
-
Start06-07 Test The Contract (6:08)
-
Start07-00 Discount Bond Contract Overview (2:30)
-
Start07-01 Set Up Contract (3:11)
-
Start07-02 Build A Transfer (3:14)
-
Start07-03 Build Timeouts And Test Contract (5:13)
-
Start01a-01 What Is Decentraland (2:05)
-
Start00 Course Overview (6:26)
-
Start01a-02 What Is Decentraland’S Land (2:50)
-
Start01a-03 Decentraland’S Dao - Who Runs Decentraland (4:11)
-
Start01a-04 Ethereum And Decentraland’S Land (5:00)
-
Start01a-05 How Do I Develop For Decentraland (2:07)
-
Start01b-01 What Can You Do With The Decentraland Sdk (2:40)
-
Start01b-02 What Do You Need To Develop For Decentraland (1:55)
-
Start01b-03 What Are Decentraland’S Scenes (2:26)
-
Start04 Install Decentraland CLI (4:57)
-
Start05. Typescript Intro (20:52)
-
Start06-01 Build A Simple Decentraland Scene (10:09)
-
Start06-02 Edit Decentraland Scene Elements (5:27)
-
Start06-03 Build Decentraland 3D Models With Builder (14:38)
-
StartSource files
-
Start02 Build A Quiz Gui With Python Tkinter (4:26)
-
Start01 Build Quiz Questions Csv File (2:26)
-
Start03 Build Buttons In Python Tkinter Desktop App (7:01)
-
Start04 Load Csv Into Python List (6:14)
-
Start05 Show Questions From Csv File In Python Tkinter App (4:31)
-
Start06 Show Answer Options From Csv File In Python Tkinter App (5:14)
-
Start07 Show Next Question In Quiz Desktop App (4:40)
-
Start07 Source files
-
Start08 Update Answer Options Every New Question (3:38)