#200: Escaping Excel Hell with Python and Pandas

1

Introduction

00:00 • 2min

2

Is It Possible to Program Python?

01:39 • 2min

3

Version Control

03:51 • 2min

4

SharePoint Version Control Isn't There, Right?

05:33 • 2min

5

Data Science - How Did You Become a Data Scientist?

07:28 • 3min

6

What's the Feynman Learning Technique?

10:13 • 2min

7

Is There a Name for When You Have a Problem

11:56 • 2min

8

What Are Some of the Most Popular Articles on the Blog?

13:41 • 2min

9

Promoting Old Articles Is Not a Bad Idea

16:05 • 2min

10

What Is Excel Hell?

18:07 • 2min

11

Is There a SaaS Solution That Works?

19:58 • 2min

12

Talk Python to Me - Linode

21:39 • 2min

13

Is Google Sheets Better Than Excel?

23:26 • 3min

14

The Benefits of Having a Program in Python

25:57 • 2min

15

Is There a Repetition of the Data Analysis?

27:55 • 2min

16

The Hard Part About Learning Python Is Not Learning the Python Syntax

29:58 • 4min

17

How to Get Python Setup on a Mac or Windows System

33:55 • 3min

18

Microsoft's Embrace of Python

36:59 • 2min

19

Is Open Source a Good Idea?

38:31 • 2min

20

Learn Python and the Right Tools to Solve Your Problem

40:29 • 2min

21

The Unintended Benefits of Automating Your Processes

42:09 • 2min

22

Is There a Way to Build on Top of That Capabilities?

44:05 • 2min

23

Excel Power User Automation

46:13 • 2min

24

Is There a CLI Interface That Works?

48:21 • 2min

25

Jupyter Notebooks

50:06 • 2min

26

Data Science - Data Science Approach

52:34 • 2min

27

Can You Predict the Future?

54:52 • 3min

28

Python Scripts, Programs, Notebooks - What Python Needs to Do Better

57:33 • 2min

29

Excel Scripting Language - Python vs VBA?

59:52 • 2min

30

Those Are the Final Two Questions, Chris.

01:01:50 • 2min

31

Talk Python - Part 2

01:03:31 • 2min