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https://github.com/acharles7/awesome-python-videos

Learn and watch python, machine learning, and data science videos from conferences (PyCon, PyData, SciPy, PyBay, EuroPython)
https://github.com/acharles7/awesome-python-videos

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Learn and watch python, machine learning, and data science videos from conferences (PyCon, PyData, SciPy, PyBay, EuroPython)

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# Awesome Python Videos [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)





  

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    Logo

  






  This repository contains videos from almost all the python conferences across the world. 

  You'll find videos related to python, machine learning and data science and videos from some of the python expert 

  {pythonista} who teach us how to use python more effectively.

  


  Report bug

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## Table of contents

- [Most Favourite](#most-favourite)

- [Python Conferences](#python-conferences)

    - [PyCon](#pycon)

    - [PyData](#pydata)

    - [PyBay](#pybay)

    - [SciPy](#scipy)

    - [EuroPython](#europython)

    - [Meetups](#meetups)

- [Machine Learning and Data Science](#machine-learning-and-data-science)

- [Contributing](#contributing)

- [Creator](#creator)

- [Thanks](#thanks)



---

## Favourites



Informative



- [Build Your Own Async (David Beazley)](https://www.youtube.com/watch?v=Y4Gt3Xjd7G8)

- [Structuring Your First Python Project](https://www.youtube.com/watch?v=OSGv2VnC0go)

- [Object Oriented Programming from scratch (four times)](https://www.youtube.com/watch?v=8moWQ1561FY)

- [Modern Dictionaries](https://www.youtube.com/watch?v=p33CVV29OG8)

- [Transforming Code into Beautiful, Idiomatic Python](https://www.youtube.com/watch?v=RKHMnevITF0)

- [How to become a Data Scientist in 6 months](https://www.youtube.com/watch?v=rIofV14c0tc)

- [High Performance Data Processing in Python](https://www.youtube.com/watch?v=NoJr08FNQeg)

- [Magic Wormhole- Simple Secure File Transfer](https://www.youtube.com/watch?v=oFrTqQw0_3c)



## Python Conferences



#### [PyCon](https://pycon.org/)



- [PyCon 2020](https://us.pycon.org/2020/about/)

    - [Object Oriented Programming from scratch (four times)](https://www.youtube.com/watch?v=8moWQ1561FY) by Raymond Hettinger

    - [Introduction to Decorators: Power Up Your Python Code](https://www.youtube.com/watch?v=T8CQwGIsrx4) by Geir Arne Hjelle

    - [Python Concurrency: from beginner to pro](https://www.youtube.com/watch?v=18B1pznaU1o) by Santiago Basulto

    - [Migration from Python 2 to 3](https://www.youtube.com/watch?v=JgIgEjASOlk) by Mike Müller

    - [Natural Language Processing (NLP) in Python - From Zero to Hero](https://www.youtube.com/watch?v=vyOgWhwUmec) by Keith Galli

    - [Modern Python Developer's Toolkit](https://www.youtube.com/watch?v=WkUBx3g2QfQ) by Sebastian Witowski

    - [Why is Python slow?](https://www.youtube.com/watch?v=I4nkgJdVZFA) by Anthony Shaw

    - [A careful walk through probability distributions, using Python](https://www.youtube.com/watch?v=G7SIcvWrAKs) by Eric J. Ma



- [PyCon 2019](https://us.pycon.org/2019/about/)

    - [Practical decorators](https://www.youtube.com/watch?v=MjHpMCIvwsY) by Reuven M. Lerner

    - [Design Patterns in Python for the Untrained Eye](https://www.youtube.com/watch?v=o1FZ_Bd4DSM) by Ariel Ortiz

    - [Type hinting (and mypy)](https://www.youtube.com/watch?v=hTrjTAPnA_k) by Bernat Gabor

    - [PEP 572: The Walrus Operator](https://www.youtube.com/watch?v=6uAvHOKofws) by Dustin Ingram

    - [Thinking like a Panda: Everything you need to know to use pandas the right way](https://www.youtube.com/watch?v=ObUcgEO4N8w) by Hannah Stepanek

    

- [PyCon 2018](https://us.pycon.org/2018/about/)

    - [Python Oddities Explained](https://www.youtube.com/watch?v=4MCT4WLf7Ac) by Trey Hunner

    - [Reinventing the Parser Generator](https://www.youtube.com/watch?v=zJ9z6Ge-vXs) by David Beazley

    - [Dataclasses: The code generator to end all code generators](https://www.youtube.com/watch?v=T-TwcmT6Rcw) by Raymond Hettinger

    - [Type-checked Python in the real world](https://www.youtube.com/watch?v=pMgmKJyWKn8) by Carl Meyer



- [PyCon 2017](https://us.pycon.org/2017/about/)

    - [A Really Gentle Introduction to Asyncio](https://www.youtube.com/watch?v=3mb9jFAHRfw) by Gregory Saunders

    

- [PyCon 2016](https://us.pycon.org/2016/about/)

    - [Thinking about Concurrency](https://www.youtube.com/watch?v=Bv25Dwe84g0) by Raymond Hettinger 

    - [Refactoring Python: Why and how to restructure your code](https://www.youtube.com/watch?v=D_6ybDcU5gc) by Brett Slatkin

    - [Magic Wormhole- Simple Secure File Transfer](https://www.youtube.com/watch?v=oFrTqQw0_3c) By Brian Warner

    

- PyCon 2015

    - [Type Hints](https://www.youtube.com/watch?v=2wDvzy6Hgxg) by Guido van Rossum

    - [Beyond PEP 8 -- Best practices for beautiful intelligible code](https://www.youtube.com/watch?v=wf-BqAjZb8M) by Raymond Hettinger

    - [Python Concurrency From the Ground Up](https://www.youtube.com/watch?v=MCs5OvhV9S4) by David Beazley

    - [Modules and Packages](https://www.youtube.com/watch?v=0oTh1CXRaQ0) by David Beazley

    

#### [PyData](https://pydata.org/)

- [PyData 2020](#)

    - [Furious & Fast Python 7: Writing Fast Python Code](https://www.youtube.com/watch?v=Ix04KpZiUA8) by James Powell

    - [Making Pandas Fly](https://www.youtube.com/watch?v=N4pj3CS857c) by Ian Ozsvald

    - [Pandas and friend](https://www.youtube.com/watch?v=PQPv_4rOWe4) by Marc Garcia

    

- [PyData 2019](https://pydata.org/london2019/)

    - [Objectionable Content](https://www.youtube.com/watch?v=1SHi1kriJI4) by James Powell

    - [Customizing JupyterLab using extensions](https://www.youtube.com/watch?v=PT9UIvLWUI0) by Alex Bozarth, Luciano Resende

    - [ADTK: An open-source Python toolkit for anomaly detection in...](https://www.youtube.com/watch?v=im2kyhNPU8c) by Tailai Wen

    - [Machine Learning Crash Course](https://www.youtube.com/watch?v=pRX1sLG_6cw) by Samuel Taylor

    - [AI pipelines powered by Jupyter notebooks](https://www.youtube.com/watch?v=XJAx9dS0k7I) by Luciano Resende, Alan Chin

    - [Do You Want To Build A Forest?](https://www.youtube.com/watch?v=H01T_ICbJZY) by Thomas J Fan

    - [A gentle introduction to Pandas timeseries and Seaborn](https://www.youtube.com/watch?v=8upGdZMlkYM) by Ian Ozsvald

    - [Stars, Planets, and Python](https://www.youtube.com/watch?v=6KvszWniMvo) by Sara Seager

    - [A/B Testing in Python](https://www.youtube.com/watch?v=r6Z8FyCJ1g8) by Raul Maldonado

    - [Dealing With Imbalanced Classes in Machine Learning](https://www.youtube.com/watch?v=6M2d2n-QXCc) by Aditya Lahiri

    

- PyData 2018

    - [I Just Inherited 50,000 Lines of Code! What Now? — A Practical Guide](https://www.youtube.com/watch?v=mr2SE_drU5o) by James Powell

    - [Applying Statistical Modeling & Machine Learning to Perform Time-Series Forecasting](https://www.youtube.com/watch?v=JntA9XaTebs) by Tamara Louie

    - [Winning with Simple, even Linear, Models](https://www.youtube.com/watch?v=68ABAU_V8qI) by Vincent Warmerdam

    - [More About Generators](https://www.youtube.com/watch?v=m6asOJmfGpY) by James Powell

    - [Unit Testing for Data Scientists](https://www.youtube.com/watch?v=Da-FL_1i6ps) by Hanna Torrence

    - [Cleaning and Tidying Data in Pandas](https://www.youtube.com/watch?v=iYie42M1ZyU) by Daniel Chen

    - [Train, Evaluate, Repeat: Building a Credit Card Fraud Detection System](https://www.youtube.com/watch?v=rHSpab1Wi9k) by Leela Senthil Nathan

    - [Using Simpson’s Paradox to Discover Interesting Patterns in](https://www.youtube.com/watch?v=Hud8pMbup78) by Nazanin Alipourfard, Peter Fennell

    - [High Performance Data Processing in Python](https://www.youtube.com/watch?v=NoJr08FNQeg) by Donald Whyte

    - [Making Computation Easier with Cool Numpy Tricks](https://www.youtube.com/watch?v=poD8ud4MxOY) by Kirit Thadaka

    

- PyData 2017

    - [Applied Data Science](https://www.youtube.com/watch?v=7glVO4juXl0) by Giovanni Lanzani

    - [So you want to be a Python expert?](https://www.youtube.com/watch?v=cKPlPJyQrt4) by James Powell

    - [Building Web-based Analysis & Simulation Platforms](https://www.youtube.com/watch?v=eEXKIp8h0T0) by James Powell

    - [Top to down, left to right (Surprise talk)](https://www.youtube.com/watch?v=BRn6UCw35og) by James Powell

    - [Advanced Metaphors in Coding with Python](https://www.youtube.com/watch?v=R2ipPgrWypI) by James Powell

    - [Time Series Forecasting using Statistical and Machine Learning Models](https://www.youtube.com/watch?v=_vQ0W_qXMxk) by Jeffrey Yau

    - [A Worked Example of Using Neural Networks for Time Series Prediction](https://www.youtube.com/watch?v=hAlGqT3Xpus) by Joe Jevnik



- PyData 2016

    - [Python Language](https://www.youtube.com/watch?v=YgtL4S7Hrwo) by Guido van Rossum

    - [Memory Management in Python - The Basics](https://www.youtube.com/watch?v=F6u5rhUQ6dU) by Nina Zakharenko

    - [Design Principles](https://www.youtube.com/watch?v=bh8QVDaroYE) by James Powell

    - [Fizz Buzz in Tensorflow](https://www.youtube.com/watch?v=BgBrYpihvLY) by Joel Grus

    - [Learning scikit learn - An Introduction to Machine Learning in Python](https://www.youtube.com/watch?v=9fOWryQq9J8) by Sebastian Raschka

    - [Design Principles](https://www.youtube.com/watch?v=bh8QVDaroYE) by James Powell

    - [How to become a Data Scientist in 6 months](https://www.youtube.com/watch?v=rIofV14c0tc) by Tetiana Ivanova

    - [Python and Johnny Cash](https://www.youtube.com/watch?v=L3j2qw9XZCc) by James Powell



- PyData 2015

    - [Does Code Quality Really Matter](https://www.youtube.com/watch?v=QuTmLeWL3C0) by James Powell

    - [Machine Learning with scikit learn](https://www.youtube.com/watch?v=nJfxGY2dilY) by Andreas Mueller

    - [Learning Data Science Using Functional Python](https://www.youtube.com/watch?v=ThS4juptJjQ) by Joel Grus

    - [Deploying scikit learn Models in Production](https://www.youtube.com/watch?v=AwjeRg1u5VI) by Rajat Arya

    - [CPython Meanderings](https://www.youtube.com/watch?v=2O7yj-Nh6AY) by James Powell 



- PyData 2014

    - [Generators Will Free Your Mind](https://www.youtube.com/watch?v=RdhoN4VVqq8) by James Powell



#### [PyBay](https://pybay.com/)



- PyBay 2019

    - [The Mental Game of Python](https://www.youtube.com/watch?v=UANN2Eu6ZnM) by Raymond Hettinger

    - [Perceiving Python Programming Paradigms](https://www.youtube.com/watch?v=Gm72cIo9_58) by Jigyasa Grover

    - [Patterns for Clean API Design](https://www.youtube.com/watch?v=9rKx-8bj-R0) by Paul Ganssle

    - [What's Coming in 3 8 Assignment Expressions & More!](https://www.youtube.com/watch?v=OtdQN24Z5MA) by Adam Forsyth 



- PyBay 2018

    - [Preventing, Finding, and Fixing Bugs On a Time Budget](https://www.youtube.com/watch?v=ARKbfWk4Xyw) by Raymond Hettinger

    - [asyncio: what's next](https://www.youtube.com/watch?v=vem5GHboRNM) by Yury Selivanov



- PyBay 2017

    - [Logging and Testing and Debugging, Oh My!](https://www.youtube.com/watch?v=ONCVvS-gDMA) by Albert Sweigart

    - [Keynote on Concurrency](https://www.youtube.com/watch?v=9zinZmE3Ogk) by Raymond Hettinger



- PyBay 2016

    - [Being a Core Developer in Python](https://www.youtube.com/watch?v=voXVTjwnn-U) by Raymond Hettinger

    - [Python Memory Model & Best Practices](https://www.youtube.com/watch?v=SiXyyOA6RZg) by Wesley Chun



#### [SciPy](https://www.scipy.org/)



- SciPy 2020

    - [GPU-Accelerated Data Analytics in Python](https://www.youtube.com/watch?v=RniE3v8cTWs) by Joe Eaton

    - [Learning from Evolving Data Streams](https://www.youtube.com/watch?v=sw85SCv847Y) by Jacob Montiel



- SciPy 2019

    - [Bayesian Statistics Made Simple](https://www.youtube.com/watch?v=-X0BiV9n_fQ) by Allen Downey

    - [Introduction to Python](https://www.youtube.com/watch?v=6KM8HOQi5Xk) by Matt Davis

    - [Introduction to Numerical Computing with NumPy](https://www.youtube.com/watch?v=ZB7BZMhfPgk) by Alex Chabot-Leclerc

    - [Introduction to Matplotlib](https://www.youtube.com/watch?v=Tr4DYo4v5AY) by Hannah Aizenman and Thomas Caswell

    - [Introduction to Data Processing in Python with Pandas](https://www.youtube.com/watch?v=5rNu16O3YNE) by Daniel Chen

    - [Image Analysis in Python with SciPy and Scikit Image](https://www.youtube.com/watch?v=d1CIV9irQAY) by Nunez-Iglesias

    - [Turning HPC Systems into Interactive Data Analysis Platforms](https://www.youtube.com/watch?v=vhawO8fgD64) by A. Banihirwe

    - [Modern Time Series Analysis](https://www.youtube.com/watch?v=v5ijNXvlC5A) by Aileen Nielsen

    - [Visualize any Data Easily, from Notebooks to Dashboards](https://www.youtube.com/watch?v=7deGS4IPAQ0) by James Bednar

    - [Turn any Notebook into a Deployable Dashboard](https://www.youtube.com/watch?v=L91rd1D6XTA) by James Bednar

    - [Productionalizing a Data Science Team](https://www.youtube.com/watch?v=2v9uwedgBxU) by Nicole Carlson

    - [Better and Faster Hyper Parameter Optimization with Dask](https://www.youtube.com/watch?v=x67K9FiPFBQ) by Scott Sievert

    - [Model Remodeling with Modern Deep Learning Frameworks](https://www.youtube.com/watch?v=OoGaFn3aaMU) by Ethan Rosenthal

    - [Using a Stacking Model Ensemble Approach to Predict Rare Events](https://www.youtube.com/watch?v=6oD5K0x1k7c) by Susan Yuhou Xia

    

- SciPy 2015

    

#### [EuroPython](https://ep2020.europython.eu/) 



- EuroPython, 2019



    - [Writing faster Python](https://www.youtube.com/watch?v=YjHsOrOOSuI) by Sebastian Witowski

    - [Wait, IPython can do that?!](https://www.youtube.com/watch?v=3i6db5zX3Rw) by Sebastian Witowski

    

#### [Meetups](#)



- SF Python

    - [Modern Dictionaries](https://www.youtube.com/watch?v=p33CVV29OG8) by Raymond Hettinger

    - [Learning From Games and Puzzles](https://www.youtube.com/watch?v=lOWeCyOvRGk) by Raymond Hettinger

    - [Docker for Data Science](https://www.youtube.com/watch?v=tuYgEv40s7A) by Aly Sivji

    

- PyOhio

    - [Natural Language Processing in Python](https://www.youtube.com/watch?v=xvqsFTUsOmc) by Alice Zhao



## Machine Learning and Data Science



- [Fun with TPUs]( https://www.youtube.com/watch?v=NIF6u8EAjro) by Martin Görner

- [TensorFlow, Deep Learning, and Modern Convolutional Neural Nets, Without a PhD](https://www.youtube.com/watch?v=KC4201o83W0) by Martin Görner

- [Applying Statistical Modeling & Machine Learning to Perform Time-Series Forecasting](https://www.youtube.com/watch?v=JntA9XaTebs) by Tamara Louie

- [Learning scikit learn - An Introduction to Machine Learning in Python](https://www.youtube.com/watch?v=9fOWryQq9J8) by Sebastian Raschka

- [Machine Learning with scikit learn](https://www.youtube.com/watch?v=nJfxGY2dilY) by Andreas Mueller

- [Episode 1.1: Intro and building a ML framework](https://www.youtube.com/watch?v=ArygUBY0QXw) by Abhishek Thakur

- [Episode 1.2: Building an inference for the ML framework](https://www.youtube.com/watch?v=zcqgj-Udcqs) by Abhishek Thakur

- [Episode 2: A Cross Validation Framework](https://www.youtube.com/watch?v=2wQlD46eICE) by Abhishek Thakur

- [Episode 3: Handling Categorical Features in ML Problems](https://www.youtube.com/watch?v=vkXEHpuu03A) by Abhishek Thakur

- [Deploying scikit learn Models in Production](https://www.youtube.com/watch?v=AwjeRg1u5VI) by Rajat Arya



## Contributing

Please read through our [contributing guidelines](https://github.com/acharles7/python-videos/blob/master/CONTRIBUTING.md). 

Included are directions for opening issues, coding standards, and notes on development.



## Creator

- 

If you have any question about this opinionated list, do not hesitate to contact me [@charlespatel](https://twitter.com/charlespatel) on Twitter or open an issue on GitHub.



## Thanks

Thank you all the speakers at different conferences for teaching us.

Happy Learning