Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Introduction
00:00 • 2min
How to Escape Excel Hell With Python and Jupiter
01:36 • 2min
PB Python Practical Business Python - What Have You Been Up To?
03:24 • 2min
Why You Might Use Python Instead of Excel?
05:10 • 2min
Is Python Getting a Switch Statement?
07:06 • 2min
Using Python to Manipulate Big Data
08:50 • 2min
The Performance of Data Analysis in Python
10:58 • 2min
Using Python Data Science to Scale Data in the Cloud
12:46 • 3min
Talk Python to Me
15:20 • 3min
The 10 Tips to Getting Your Cloud VM Set Up and Running in Windows
18:04 • 3min
10 Quick, Easy Things That You Can Do in Python and Pandas to Move Into Excel
21:03 • 2min
Creating a PDF Version of a Gene
23:19 • 2min
Getting Your Python Environment Set Up
25:04 • 2min
Is There a Way to Manage a Virtual Environment?
27:05 • 2min
How to Set the Stage With Data
28:43 • 2min
How to Select Data With by Rows and Columns With Pandas
30:42 • 2min
Talk Python to Me - Linode
32:15 • 4min
Python Programming - Is There a Loop in Python?
35:59 • 2min
Using Boolean Indexing in Python
38:11 • 2min
Is Group by a Good Option for Multiple if Statements?
40:06 • 2min
What Are Pivot Tables and Pandas?
41:59 • 2min
Can Pandas Concatenate Multiple Sources of Data?
43:36 • 2min
Python Data Visualization Library - Nine Tips to Help You Get Started
45:25 • 2min
The Next Level Benefits of Using Pandas
47:26 • 2min
Can Python Be Used for Data Science Tasks?
49:04 • 3min
How to Build a Python Developer Environment on Windows and Linux
51:59 • 3min
Windows Subsystem for Linux
54:38 • 2min
Is Side Table Integrated With WSL?
56:19 • 2min
Visual Studio Code
58:11 • 2min
Python Data Science Course
59:59 • 2min
Talk Python Episode 6 - The Six Cell Thing
01:01:32 • 2min