8 Rarely Used Python Libraries & How to Use Them
The most popular Python libraries out there are usually TensorFlow, Numpy, PyTorch, Pandas, ...
https://www.dataquest.io/blog/8-rarely-used-python-libraries-how-to-use-them/
The most popular Python libraries out there are usually TensorFlow, Numpy, PyTorch, Pandas, ...
https://www.dataquest.io/blog/8-rarely-used-python-libraries-how-to-use-them/
Dataquest
8 Rarely Used Python Libraries & How to Use Them – Dataquest
Upgrade your skill set by learning eight handy but rarely used Python libraries to give you an edge on your next project. This guide breaks down how to use each Python library with dozens of examples.
praudio
Audio preprocessing framework for Deep Learning audio applications.
https://github.com/musikalkemist/praudio
Audio preprocessing framework for Deep Learning audio applications.
https://github.com/musikalkemist/praudio
GitHub
GitHub - musikalkemist/praudio: Audio preprocessing framework for Deep Learning audio applications
Audio preprocessing framework for Deep Learning audio applications - GitHub - musikalkemist/praudio: Audio preprocessing framework for Deep Learning audio applications
Best Practices for Flask API Development
Learn how to design and build REST APIs with Python and Flask following best practices.
https://auth0.com/blog/best-practices-for-flask-api-development/
Learn how to design and build REST APIs with Python and Flask following best practices.
https://auth0.com/blog/best-practices-for-flask-api-development/
Auth0 - Blog
Best Practices for Flask API Development
Learn how to design and build REST APIs with Python and Flask following best practices.
BatchQL
GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations.
https://github.com/assetnote/batchql
GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations.
https://github.com/assetnote/batchql
GitHub
GitHub - assetnote/batchql: GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations
GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations - assetnote/batchql
10 Things to Know to Master Comprehensions in Python
List comprehension, dictionary comprehension, and more…Continue reading on Towards Data ...
https://towardsdatascience.com/10-things-to-know-to-master-comprehensions-in-python-2f089ad9d3e
List comprehension, dictionary comprehension, and more…Continue reading on Towards Data ...
https://towardsdatascience.com/10-things-to-know-to-master-comprehensions-in-python-2f089ad9d3e
Medium
10 Things to Know to Master Comprehensions in Python
List comprehension, dictionary comprehension, and more…
public-api-lists / public-api-lists
A collective list of free APIs for use in software and web development 🚀
https://github.com/public-api-lists/public-api-lists
A collective list of free APIs for use in software and web development 🚀
https://github.com/public-api-lists/public-api-lists
GitHub
GitHub - public-api-lists/public-api-lists: A collective list of free APIs for use in software and web development 🚀
A collective list of free APIs for use in software and web development 🚀 - public-api-lists/public-api-lists
LazyRemote
A web-app/remote for when you're feeling lazy while streaming content.
https://github.com/shashankshirol/LazyRemote
A web-app/remote for when you're feeling lazy while streaming content.
https://github.com/shashankshirol/LazyRemote
GitHub
GitHub - shashankshirol/LazyRemote: A web-app/remote for when you're feeling lazy while streaming content
A web-app/remote for when you're feeling lazy while streaming content - GitHub - shashankshirol/LazyRemote: A web-app/remote for when you're feeling lazy while streaming content
Create 3D objects and animations in Blender with Python API
Did you know that you could program in Blender to automatically create 3D objects and animations? In this post, you will see that with less than a hundred lines of Python, we can create a basic procedural solar system with dynamic and randomized meshes, materials and animation!
https://demando.se/blogg/post/dev-generating-a-procedural-solar-system-with-blenders-python-api/
Did you know that you could program in Blender to automatically create 3D objects and animations? In this post, you will see that with less than a hundred lines of Python, we can create a basic procedural solar system with dynamic and randomized meshes, materials and animation!
https://demando.se/blogg/post/dev-generating-a-procedural-solar-system-with-blenders-python-api/
demando.io
Create 3D objects and animations in Blender with Python API
Did you know that you could program in Blender to automatically create 3D objects and animations? Mina Pêcheux, Full stack web and game developer shares her best tips and trix to make it happen. Read the full guide here.
10 Highly Probable Data Scientist Interview Questions
Machine learning, Python, and SQLContinue reading on Towards Data Science ...
https://towardsdatascience.com/10-highly-probable-data-scientist-interview-questions-fd83f7414760
Machine learning, Python, and SQLContinue reading on Towards Data Science ...
https://towardsdatascience.com/10-highly-probable-data-scientist-interview-questions-fd83f7414760
Ploomber: Maintainable and Collaborative Pipelines in Jupyter
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7
Medium
Ploomber: Maintainable and Collaborative Pipelines in Jupyter
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
Python 3.9.7 and 3.8.12 are now available
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
Blogspot
Python Insider: Python 3.9.7 and 3.8.12 are now available
The best Docker base image for your Python application (August 2021)
When you’re building a Docker image for your Python application, you’re building on top of an ...
https://pythonspeed.com/articles/base-image-python-docker-images/
When you’re building a Docker image for your Python application, you’re building on top of an ...
https://pythonspeed.com/articles/base-image-python-docker-images/
Python⇒Speed
The best Docker base image for your Python application (May 2024)
Ubuntu? Official Python images? Alpine Linux? Here’s how to choose a good base Docker image for your Python application container.
Version control for Jupyter notebooks
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
https://www.wrighters.io/version-control-for-jupyter-notebooks/
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
https://www.wrighters.io/version-control-for-jupyter-notebooks/
wrighters.io
Version control for Jupyter notebooks - wrighters.io
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
Data Structures and Algorithms in Python
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
https://www.youtube.com/watch?v=pkYVOmU3MgA
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
https://www.youtube.com/watch?v=pkYVOmU3MgA
YouTube
Data Structures and Algorithms in Python - Full Course for Beginners
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
🔗 Course…
🔗 Course…
An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
One possible definition of reinforcement learning (RL) is a computational approach to learning how to maximize the total sum of rewards when interacting with an environment. While a definition is useful, this tutorial aims to illustrate what reinforcement learning is through images, code, and video examples and along the way introduce reinforcement learning terms like agents and environments.
https://t.co/26M1W8Wnho
One possible definition of reinforcement learning (RL) is a computational approach to learning how to maximize the total sum of rewards when interacting with an environment. While a definition is useful, this tutorial aims to illustrate what reinforcement learning is through images, code, and video examples and along the way introduce reinforcement learning terms like agents and environments.
https://t.co/26M1W8Wnho
Medium
An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
An introductory tutorial on reinforcement learning with OpenAI Gym, RLlib, and Google Colab