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PyCon US 2020
Videos
1 — Python Trainers Summit - Hatchery 2020
2 — Talk: Łukasz Langa - AsyncIO + Music
3 — Tutorial: Husni Almoubayyed - Effective Data Visualization
4 — Charla: Luis Diego Conejo Alpizar - Historias de debug en clase de Python Avanzado
5 — Talk: Russell Keith-Magee - Snakes in a case: Packaging Python apps for distribution
6 — How I Solved my NYC Parking Problem with Python
Jessica Garson
7 — Leadership and Identity in the Pan-African Python movement
Marlene Mhangami
8 — Talk: Itamar Turner-Trauring - Small Big Data: using NumPy and Pandas when your data doesn't fit ...
9 — Developing With Doctests - Using Xdoctest As A Backend
Jon Crall
10 — Charla: Cristina Muñoz - Detección automatizada de archivos maliciosos en el repositorio PyPI
11 — East Meets West When Translating Django Apps
Andrew Knight
12 — Comprehensible Comprehensions
Trey Hunner
13 — Charla: Renne Silva Gomes de Oliveira Rocha - Si no está documentado, su proyecto no existe.
14 — Automate the Boring Stuff with Slackbot
Takanori Suzuki
15 — Charla: David Mauricio Delgado Ruiz - Datos, Python y humanos
16 — Talk: Carol J. Smith - Implementing Ethics: Developing Trustworthy AI
17 — Beautiful Python Refactoring
Conor Hoekstra
18 — Static Typing in Python
Dustin Ingram
19 — Saved by In-Memory NoSQL
Deepak Kumar Gupta
20 — The Hitchhiker's Guide to CLIs in Python
Vinayak Mehta
21 — Transitioning from developing software to developing people
Matthew Knapp Bachmann
22 — Building Docs like Code: Continuous Integration for Documentation
Mason Egger
23 — Pyambic Pentameter: generating rhyming and metered poems
Kathryn Lingel
24 — The Hidden Power of the Python Runtime
Elizaveta Shashkova
25 — Talk: Lorena Mesa, Elaine Wong, Mariatta - 9 Years of PyLadies: Lessons Learned and What Comes Next
26 — Introduction to Writing Network Tests with pyATS
Hank Preston
27 — Talk: Shauna Gordon-McKeon - Organizing To Improve Your Workplace: Know Your Rights
28 — Talk: Dr. Cristián Maureira-Fredes - C++ ♥ Python: from modules to hybrid applications
29 — What is deployment, anyway?
Katie McLaughlin
30 — Ray: A System for High-performance, Distributed Python Applications
Dean Wampler
31 — Talk: Flávio Juvenal da Silva Junior - 1 + 1 = 1 or Record Deduplication with Python
32 — Privacy-preserving methods: Building secure projects
Rebeca Sarai
33 — Let's talk Databases in Python: SQLAlchemy and Alembic
Hannah Stepanek
34 — Using Python to Detect Vulnerabilities in Binaries
Terri Oda
35 — The joy of creating art with code
Neeraj Pandey
36 — Talk: Reuven M. Lerner - Function dissection lab -- learn how functions
37 — Practical privacy-preserving machine learning in Python
Catherine Nelson
38 — Python in High Energy Physics
Pratyush Das
39 — If Statements are a Code Smell
Aly Sivji
40 — How multilingual is your NLP model?
Shreya Khurana
41 — The Limitations and Danger of Facial Recognition
Manojit Nandi
42 — Building interactive applications for image data
Emmanuelle Gouillart
43 — Talk: Maria Jose Molina-Contreras - How to build an intelligent “indoor garden”
44 — A 🐍's guide to Unicode
James Bennett
45 — Talk: Igor T. Ghisi - Write Less and Test More with Data Regression Testing
46 — Goodbye Print, Hello Debugger!
Nina Zakharenko
47 — Multiply your Testing Effectiveness with Parameterized Testing
Brian K Okken
48 — From 0 to 60 in 2,592,000 seconds
Alexandra Sunderland
49 — Why is Python slow?
Anthony Shaw
50 — Talk: Kim-Adeline Miguel - Decoding bias and narrative in competitive video games
51 — Talk: Calvin Hendryx-Parker - Finite State Machine (FSM) in Django
52 — Talk: Eric J. Ma - A careful walk through probability distributions, using Python
53 — Mixing a Raspberry Pi with Python into a 5th Grade Science Fair Project
Wendi Dreesen
54 — Charla: Eric Nahuel Horvat - Integraciones con Asyncio
55 — Polyglot data with python: Introducing Pandas and Apache Arrow
Robson Luis Monteiro Junior
56 — Getting started with automatic differentiation
Colin Carroll
57 — Deploying Python at Scale with Dask
Matthew Rocklin
58 — Sponsor Workshop: Google: Charles Engelke - Serverless Python Applications with Google Cloud
59 — Easy Data Processing With Azure Fun -Tania Allard - Sponsor Workshop: Microsoft
60 — Sponsor Workshop: Louise Grandjonc - Optimize Python & Django apps with Postgres superpowers
61 — Sponsor Workshop: Mark Ibrahim - Facebook: Machine Learning on Encrypted Data with CrypTen
62 — Sponsor Workshop: Capital One: Steven Lott - Type Hints: Putting more Buzz in your Fizz
63 — Sponsor Workshop: Heroku - Casey Faist: From Project to Productionized on Heroku
64 — Sponsor Workshop: Xilinx, Inc.: Patrick Lysaght - Extending the Python Ecosystem to Xilinx
65 — Sponsor Workshop: ActiveState - Shaun Lowry - We need to talk about Windows
66 — Sponsor Workshop: Keith Kraus, Bartley Richardson - NVIDIA: GPU-Accelerated Data Analytics in Python
67 — Sponsor Workshop: Jason Lantz - Salesforce: How Python Powers Salesforce.org's Unique Open Source...
68 — Tutorial: Eric J. Ma - Demystifying Deep Learning for Data Scientists
69 — Tutorial: Matt Harrison - Hands-on Python for Programmers
70 — Tutorial: Andrew Knight - Hands-On Web App Test Automation
71 — Tutorial: Kimberly Fessel - It's Officially Legal so Let's Scrape the Web
72 — Tutorial: Sebastian Witowski - Modern Python Developer's Toolkit
73 — Tutorial: Katie McLaughlin - Deploying Django on Serverless Infrastructure
74 — “Sorry, Could you repeat that again?” - Speech Recognition with Python
Javier Jorge Cano
75 — Tutorial: Keith Galli - Natural Language Processing (NLP) in Python - From Zero to Hero
76 — Tutorial: Sergio Sanchez - Geospatial Public Policy Analysis with GeoPandas
77 — Tutorial: Santiago Basulto - Python Concurrency: from beginner to pro
78 — Tutorial: Mariatta - Say it with Bots!
79 — Tutorial: Mike Müller - Migration from Python 2 to 3
80 — Tutorial: Geir Arne Hjelle - Introduction to Decorators: Power Up Your Python Code
81 — Education Summit 2020
82 — Tutorial: Allison Parrish - Nonsense verse with Python and machine learning
83 — Startup Row - Aiko AI Interview
84 — Stop Using Mocks (for a while)
Harry Percival
85 — Yin Yang Ranch: Building a Distributed Computer Vision Pipeline using Python, O...
Jeff Bass
86 — Big O No: Django ORM runtime complexity and how to avoid it using LATERAL JOINS
Chris Seto
87 — Docker and Python: making them play nicely and securely for Data Science and ML
Tania Allard
88 — Bridging Data Science and Data Infrastructure with Apache Airflow
Daniel Imberman
