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
Introduction
00:00 • 4min
Python: A Mission and Challenge
03:47 • 2min
The Importance of Learning Python
05:58 • 2min
How Numb Focus Supports Data Science Oriented Projects
08:15 • 2min
How Buy Sport Is Building an Open Source Package for Sports Analytics
10:28 • 3min
Clopy: A Package for Soccer Analytics
13:32 • 2min
How to Get Accurate Tracking Data for All Players on the Pitch
15:18 • 2min
The Future of Telemetry
16:55 • 2min
PyCharm Professional: The Complete IDE for Python Workflows
18:33 • 2min
How to Work With Sports Data
20:26 • 2min
The Issue With Data Accessibility in Open Source Data
22:12 • 2min
How to Scrape Soccer Data
23:51 • 3min
How to Sort Basketball Data
26:23 • 2min
Python: How to Automatically Update the List of Contributors
28:09 • 2min
Influx Data: A Database for Real Time Analytics
29:49 • 2min
How to Scrape NHL Play-by-Play and Shift Data With Six Contributors
31:40 • 2min
Stats Bomb PI: An Open Source Package for Accessing Their Data
33:25 • 2min
How to Use Data Science to Recruit Players
35:10 • 2min
The Impact of Data Science on Baseball
37:39 • 2min
How to Use a Jupyter Notebook to Track Your Progress
39:20 • 2min
Python Package to Parse Stats Bombs, JSON Data to CSV
41:33 • 2min
The Importance of Visualization in Data Engineering
43:28 • 2min
Python for the Soccer Community
45:15 • 2min
How to Use Python to Create Visualizations
47:12 • 2min
Jupiter Light: A Python Notebook for Performance Analysers
49:25 • 2min
Jupiter Light: A Plugin for Python
51:12 • 2min
Python for Sports Analytics
52:49 • 2min
How to Be a Better Python Developer
54:59 • 2min