New Features in Python 3.10
This talk covers some of the most interesting additions to Python - structural pattern matching, parenthesized context managers, more typing, and the new and improved error messages.
https://www.youtube.com/watch?v=5-A435hIYio
This talk covers some of the most interesting additions to Python - structural pattern matching, parenthesized context managers, more typing, and the new and improved error messages.
https://www.youtube.com/watch?v=5-A435hIYio
YouTube
New Features in Python 3.10
The Python 3.10 release has several new features like structural pattern matching, a new typing Union operator, and parenthesized context managers!
Python 3.10 has now been released, here we test all of the best new features introduced.
We'll cover some…
Python 3.10 has now been released, here we test all of the best new features introduced.
We'll cover some…
Python Tools to Try in 2021
The Python programming language is one of the most popular and in huge demand. It is free, has a ...
https://julien.danjou.info/python-tools-to-try-in-2021/
The Python programming language is one of the most popular and in huge demand. It is free, has a ...
https://julien.danjou.info/python-tools-to-try-in-2021/
Implement API Caching with Redis, Flask, and Docker [Step-By-Step]
You want your API to be faster, more consistent, and to reduce the requests to the server? — That’s where caching comes into play. This article shows you how to implement API Caching with Redis on Flask.
https://levelup.gitconnected.com/implement-api-caching-with-redis-flask-and-docker-step-by-step-9139636cef24
You want your API to be faster, more consistent, and to reduce the requests to the server? — That’s where caching comes into play. This article shows you how to implement API Caching with Redis on Flask.
https://levelup.gitconnected.com/implement-api-caching-with-redis-flask-and-docker-step-by-step-9139636cef24
Medium
Implement API Caching with Redis, Flask and Docker [Step-By-Step]
You want your API to be faster, more consistent and to reduce the requests to the server? — That’s where caching comes into play. In this…
How to Create CRUD REST API with AWS Chalice
Learn how to build a book database API with AWS Chalice serverless technology.
https://auth0.com/blog/how-to-create-crud-rest-api-with-aws-chalice/
Learn how to build a book database API with AWS Chalice serverless technology.
https://auth0.com/blog/how-to-create-crud-rest-api-with-aws-chalice/
Auth0 - Blog
How to Create CRUD REST API with AWS Chalice
Learn how to build a book database API with AWS Chalice serverless technology.
Continuous integration for data science with pytest, Github Actions, and Hypervector
This guide outlines how you can build an automated check for a data science feature that runs every time a pull request is opened against the project, using the Python library pytest, Github's continuous integration platform Actions, and Hypervector — an API for building data science test fixtures easily.
https://blog.hypervector.io/posts/2021-5-12-int-github.html
This guide outlines how you can build an automated check for a data science feature that runs every time a pull request is opened against the project, using the Python library pytest, Github's continuous integration platform Actions, and Hypervector — an API for building data science test fixtures easily.
https://blog.hypervector.io/posts/2021-5-12-int-github.html
Hypervector
Continuous integration for data science with pytest, Github Actions, and Hypervector
I made a simple chatbot using IBM's Watson Assistant and then connected it to a Flask webhook. I like IBM's Watson more than DialogFlow for making intuitive chatbots. Enjoy!
https://www.reddit.com/r/madeinpython/comments/o0rjuy/i_made_a_simple_chatbot_using_ibms_watson/
https://www.reddit.com/r/madeinpython/comments/o0rjuy/i_made_a_simple_chatbot_using_ibms_watson/
reddit
r/madeinpython - I made a simple chatbot using IBM's Watson Assistant and then connected it to a Flask webhook. I like IBM's Watson…
16 votes and 0 comments so far on Reddit
Vaex – Faster Pandas Alternate in Python
Vaex Python is an alternative to the Pandas library that take less time to do computations on huge ...
https://www.machinelearningplus.com/vaex/
Vaex Python is an alternative to the Pandas library that take less time to do computations on huge ...
https://www.machinelearningplus.com/vaex/
Learn applied Data Science
Vaex - Faster Pandas Alternate in Python - Learn applied Data Science
Vaex Python is an alternative to the Pandas library that take less time to do computations on huge data using Out of Core Dataframe. It has fast, interactive visualization capabilities as well.
Types in Python
A bird's view look to the Typing features in Python 3.x
https://auth0.com/blog/typing-in-python/
A bird's view look to the Typing features in Python 3.x
https://auth0.com/blog/typing-in-python/
Auth0 - Blog
Types in Python
A bird's view look to the Typing features in Python 3.x
Python is 1.3x faster by just adjusting some compiling options for libpython
https://bugs.python.org/issue38980?fbclid=IwAR0cyfahpBywNzbqLCpcfwatOaU6W8UQp7LgVu8KZ8hDc-wKLjLE7wjOs7g
https://bugs.python.org/issue38980?fbclid=IwAR0cyfahpBywNzbqLCpcfwatOaU6W8UQp7LgVu8KZ8hDc-wKLjLE7wjOs7g
Textual: A Python Text User Interface with Rich as the Renderer
https://github.com/willmcgugan/textual
https://github.com/willmcgugan/textual
GitHub
GitHub - Textualize/textual: The lean application framework for Python. Build sophisticated user interfaces with a simple Python…
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser. - Textualize/textual
Dynamic scientific visualizations in the browser for Python users
https://xcorr.net/2021/06/02/dynamic-scientific-visualizations-in-the-browser-for-python-users/
https://xcorr.net/2021/06/02/dynamic-scientific-visualizations-in-the-browser-for-python-users/
xcorr: comp neuro
Dynamic scientific visualizations in the browser for Python users
As a scientist, interacting with data allows you to gain new insight into the phenomena you’re studying. If you read the New York Times, the D3 docs or you browse distill, you’ll see im…
Building a WebAuthn Click Farm — Are CAPTCHAs Obsolete?
How I built a click farm to “bypass” Cloudflare’s CAPTCHA killer with some cheap USB security keys, an Arduino, and a bit of python.
https://betterappsec.com/building-a-webauthn-click-farm-are-captchas-obsolete-bfab07bb798c
How I built a click farm to “bypass” Cloudflare’s CAPTCHA killer with some cheap USB security keys, an Arduino, and a bit of python.
https://betterappsec.com/building-a-webauthn-click-farm-are-captchas-obsolete-bfab07bb798c
Medium
Building a WebAuthn Click Farm — Are CAPTCHAs Obsolete?
How I built a click farm to “bypass” Cloudflare’s CAPTCHA killer with some cheap USB security keys, an Arduino, and a bit of python.
2nd Year Calculus, But in Python
This talk goes through all the formulas in 2nd year calculus and how to evaluate them symbolically in python with no pencil or paper required
https://www.youtube.com/watch?v=Teb28OFMVFc
This talk goes through all the formulas in 2nd year calculus and how to evaluate them symbolically in python with no pencil or paper required
https://www.youtube.com/watch?v=Teb28OFMVFc
YouTube
2nd Year Calculus, But in PYTHON
In this video I go through all the formulas in 2nd year calculus and how to evaluate them symbolically in python with no pencil or paper required
First year calculus:
https://youtu.be/-SdIZHPuW9o
Link to code:
https://github.com/lukepolson/youtube_chan…
First year calculus:
https://youtu.be/-SdIZHPuW9o
Link to code:
https://github.com/lukepolson/youtube_chan…
Hugging face Course
This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — Transformers, Datasets, Tokenizers, and Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.
https://huggingface.co/course/chapter1
This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — Transformers, Datasets, Tokenizers, and Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.
https://huggingface.co/course/chapter1
Python in Visual Studio Code – June 2021 Release
This release includes support for VS Code’s Workspace Trust, Jump-To-Source code with the PyTorch Profiler and completions for dictionary keys with Pylance.
https://devblogs.microsoft.com/python/python-in-visual-studio-code-june-2021-release/
This release includes support for VS Code’s Workspace Trust, Jump-To-Source code with the PyTorch Profiler and completions for dictionary keys with Pylance.
https://devblogs.microsoft.com/python/python-in-visual-studio-code-june-2021-release/
Python
Python in Visual Studio Code – June 2021 Release
We are pleased to announce that the June 2021 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the Extensions View in Visual Studio Code.
AugLy
A data augmentation library for audio, image, text, and video.
https://github.com/facebookresearch/AugLy
A data augmentation library for audio, image, text, and video.
https://github.com/facebookresearch/AugLy
GitHub
GitHub - facebookresearch/AugLy: A data augmentations library for audio, image, text, and video.
A data augmentations library for audio, image, text, and video. - facebookresearch/AugLy