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.
Cleaning up a "watch later" playlist with almost 300 videos.
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 University20:52
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
Channels
