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PyGotham 2018 @UCTse88P9vOnsMaovjNl1YBA@youtube.com

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25:02
Great Engineering in the Worst Work Environment
25:39
Write a Git Client from Scratch
23:15
Critical Incidents: A Guide for Developers
39:35
Python Grab Bag: A Set of Short Plays
21:49
Vodka powered by Whiskeyberry PI
21:45
Dataclasses are here. Now what?
23:49
The Stories of the Most Infamous Bugs
27:41
Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
20:12
A Deep Dive into Python Stack Frames
24:16
Inside the Cheeseshop:How Python Packaging Works
22:34
Automating Code Quality: Next Level
27:31
Keep it secret, keep it safe! Preserving anonymity by subverting stylometry
35:44
The Automatic Computer and You: A Meditation Upon The History And Future Of Software Development
33:02
Making Sense of Flask APIs A Billion Requests at a Time
27:32
Egad! How Do We Start Writing Better Tests?
28:09
Practical Cryptography
21:36
Using Python, Travis CI, and GitHub to Effectively Teach Programming
24:29
Pushing the Bounds with Descriptors
25:01
MFA the Right Way One Time Passwords with PyOTP
20:48
Gathering Related Functionality: Patterns for Clean API Design
28:11
Tracking the International Space Station in Django with Redis Queue and RQ Scheduler
31:51
Diversity and Inclusion for all!
25:13
Start ‘em young Tips for teaching Python to kids
23:48
Creative Music Applications in Python
33:24
I've Been Awaiting for an URL Like You
23:19
Pluggable Libs Through Design Patterns
28:19
Everyday security issues and how to avoid them
18:32
A Junior Developer's Guide to Software Engineering
24:31
A Crash Course on Serverless Applications in Python
25:28
1 + 1 = 1 or Record Deduplication with Python
17:09
How to Trick SQL into Doing All the Work for You
25:30
Clean architecture in Python
44:28
From Coroutines to Concurrency
24:35
We Are 3000 Years Behind Let's Talk About Engineering Ethics
20:49
Scale Independent Python: How to scale your Python application without any code changes
23:38
Beating Mastermind Winning Games, Translating Math to Code, and Learning from Donald Knuth
22:38
Best Intentions, Least Measured
33:01
Computer Modeling in the Social Science of Disasters
18:29
What if Jane Austen had been an engineer?
47:05
Software Freedom And Ethical Technology
25:56
Seventeen Million Lines of Python Later Launching a Startup in an Investment Bank
19:22
How Etsy Handles “Peeking” in A B Testing
26:30
Database Testing with pytest
25:52
How I Learned to Stop Worrying and Love atomic Banking Blunders and Concurrency Challenges
26:53
Gradient Descent, Demystified
29:25
Coding by Voice with Dragonfly
33:29
Python Oddities Explained
26:59
Interpretable Machine Learning: Methods for understanding complex models
26:34
Open Source Policy Making Challenges and Opportunities
22:09
Serverless machine learning in production manage models, not servers
43:39
Where to begin? How to End? The mental meanderings of a lifelong geek
24:54
A worked example of using statistical and machine learning models to time series prediction
25:39
Customizing Sphinx Simple, Normal, and Hard
25:14
A Practical Guide to Adopting Python Types
16:36
Memory Management in Python
27:51
Creating a DVR with Python
26:32
The Sum of Nothing
22:49
How to Do Code Reviews Like a Human