Talk Python To Me

#416: Open Source Sports Analytics with PySport

May 22, 2023
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Episode notes
1
Introduction
00:00 • 4min
2
Python: A Mission and Challenge
03:47 • 2min
3
The Importance of Learning Python
05:58 • 2min
4
How Numb Focus Supports Data Science Oriented Projects
08:15 • 2min
5
How Buy Sport Is Building an Open Source Package for Sports Analytics
10:28 • 3min
6
Clopy: A Package for Soccer Analytics
13:32 • 2min
7
How to Get Accurate Tracking Data for All Players on the Pitch
15:18 • 2min
8
The Future of Telemetry
16:55 • 2min
9
PyCharm Professional: The Complete IDE for Python Workflows
18:33 • 2min
10
How to Work With Sports Data
20:26 • 2min
11
The Issue With Data Accessibility in Open Source Data
22:12 • 2min
12
How to Scrape Soccer Data
23:51 • 3min
13
How to Sort Basketball Data
26:23 • 2min
14
Python: How to Automatically Update the List of Contributors
28:09 • 2min
15
Influx Data: A Database for Real Time Analytics
29:49 • 2min
16
How to Scrape NHL Play-by-Play and Shift Data With Six Contributors
31:40 • 2min
17
Stats Bomb PI: An Open Source Package for Accessing Their Data
33:25 • 2min
18
How to Use Data Science to Recruit Players
35:10 • 2min
19
The Impact of Data Science on Baseball
37:39 • 2min
20
How to Use a Jupyter Notebook to Track Your Progress
39:20 • 2min
21
Python Package to Parse Stats Bombs, JSON Data to CSV
41:33 • 2min
22
The Importance of Visualization in Data Engineering
43:28 • 2min
23
Python for the Soccer Community
45:15 • 2min
24
How to Use Python to Create Visualizations
47:12 • 2min
25
Jupiter Light: A Python Notebook for Performance Analysers
49:25 • 2min
26
Jupiter Light: A Plugin for Python
51:12 • 2min
27
Python for Sports Analytics
52:49 • 2min
28
How to Be a Better Python Developer
54:59 • 2min