There are so many interesting videos to watch. For some of them, I wanted to
write a blog post, for some I just wanted to watch them and store them for
later. As I want to start the new year 2020 fresh, I'll just dump the videos
here. When I started this cleanup, I had almost 300 videos in my "watch later"
playlist.
Data Science and Engineering
| Title |
Duration |
Published |
More |
| Dillon R. Gardner: Spatial Data Analysis With Python, PyData |
37:23 |
01.08.2018 |
|
| Vasily Ershov: CatBoost: Fast Open-Source Gradient Boosting Library For GPU, PyData |
40:08 |
01.08.2018 |
Data Science |
| Leskovec, Rajaraman, Ullman: Content Based Recommendations, Stanford University |
21:00 |
13.04.2016 |
Recommender Systems |
| Collaborative Filtering, Stanford University |
20:52 |
13.04.2016 |
Recommender Systems |
| Thom Lane (AWS): MXNet and ONNX |
26:52 |
28.09.2018 |
Data Engineering |
| Dr. Steve Liu (Tinder): Recommendations at Tinder, MLConf |
24:49 |
19.11.2017 |
Recommender Systems, Social Discovery |
| Prabhu Ramachandran: 3D Visualization with Mayavi, SciPy 2018 Tutorial |
2:55:13 |
12.07.2018 |
Visualization, Introduction to Mayavi |
| Benjamin Root: Anatomy of Matplotlib (Beginner Level) |
3:16:12 |
12.07.2018 |
Visualization |
| Gerrit Gruben: Leveling up your storytelling and visualization skills, PyData |
1:27:24 |
01.08.2018 |
Visualization |
| Andrew Collette: HDF5 is Eating the World, SciPy 2015 |
18:30 |
09.07.2015 |
Data Engineering |
| Kacper Kowalik: Sneaking Data into Containers with the Whole Tale, SciPy 2018 |
30:02 |
16.07.2018 |
Data Engineering |
| QR Factorization and Alternating Least Squares |
28:54 |
12.12.2018 |
Recommender Systems |
| How I created an evolving neural network ecosystem |
|
|
Evolutionary algorithm |
Professional Python development
| Title |
Duration |
Published |
More |
| Robert Smallshire: Get to grips with asyncio in Python 3, NDC London |
59:22 |
22.03.2017 |
asyncio |
| Parsing Horrible Things with Python |
30:30 |
12.03.2012 |
|
| Sofia Heisler: No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency, PyCon |
29:30 |
20.05.2017 |
|
| Elana Hashman: The Black Magic of Python Wheels, PyCon |
26:22 |
05.05.2019 |
Packaging, Wheels |
| Larry Hastings: Solve Your Problem With Sloppy Python, PyCon |
30:24 |
13.05.2018 |
|
| Reuven M. Lerner: Practical decorators, PyCon |
29:11 |
05.05.2019 |
|
| Al Sweigart: Yes, It's Time to Learn Regular Expressions |
30:31 |
21.05.2017 |
RegEx |
| Anthony Shaw: Wily Python: Writing simpler and more maintainable Python, PyCon |
29:02 |
05.05.2019 |
|
| Introduction - Django Web Development with Python 1 |
13:36 |
19.01.2016 |
|
| Nicolle Cysneiros: Eita! Why Internationalization and Localization matter, PyCon |
43:55 |
05.05.2019 |
|
| Fridolín Pokorný: Thoth - how to recommend the best possible libraries for your application, PyCon |
22:17 |
05.05.2019 |
|
| Rachael Tatman: Put down the deep learning: When not to use neural networks and what to do instead |
31:19 |
05.05.2019 |
|
| Chris Wilcox: Shipping your first Python package and automating future publishing, PyCon |
31:50 |
05.05.2019 |
|
| Liran Haimovitch: Understanding Python’s Debugging Internals, PyCon |
39:39 |
05.05.2019 |
|
| Lauren Schaefer: Does remote work really work?, PyCon |
39:20 |
05.05.2019 |
|
| Amanda Sopkin: The Refactoring Balance Beam: When to Make Changes and When to Leave it Alone, PyCon |
28:23 |
05.05.2019 |
|
| Jess Shapiro: Everything at Once: Python's Many Concurrency Models, PyCon |
25:44 |
05.05.2019 |
Asyncio, Python threads, GIL-released threads, Multiprocessing, Distributed tasks |
Concrete
House Building
Sound Insulation
General Talks
Plastic reduction
Self-sustainability
4K Videos
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