00 Project Preview

PySpark - Build DataFrames with Python, Apache Spark and SQL

00 Course Overview

00 Project Preview (2:33)
01 What Is Apache Spark (2:37)
02 What Are Resilient Distributed Datasets (1:08)
03A What Is A Dataframe (1:47)
03B What You'll Need (2:24)
Source Files

01 Mammoth Interactive Courses Introduction

02 Introduction to Python (Prerequisite)

00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)

03 Build DataFrames from Spreadsheets with PySpark

04 Start A Spark Session (3:47)
05 Load Data As A CSV (6:02)
06 Perform Basic Dataframe Operations (4:02)
07 Format Dataframe Table (5:14)
08 Perform Dataframe Math Operations (7:32)
09 Perform Dataframe Queries (14:22)
10 Build SQL Queries With Spark (7:24)
Source Files