Mastering Structural Pattern Matching

Learn how to use Python 3.10’s new Structural Pattern Matching feature, and why Python would suddenly adopt a complex feature usually reserved for functional programming languages.

https://www.inspiredpython.com/course/pattern-matching/mastering-structural-pattern-matching

TensorFlow for Computer Vision - Full Tutorial for Beginners

Learn how to use TensorFlow 2 for computer vision in this complete course. The course shows you how to create two computer vision projects. The first involves an image classification model with a prepared dataset. The second is a more real-world problem where you will have to clean and prepare a dataset before using it.

https://www.youtube.com/watch?v=cPmjQ9V6Hbk

Python 3.10.0

Python 3.10.0 is the newest major release of the Python programming language, and it contains many new features and optimizations.

https://www.python.org/downloads/release/python-3100/

Streamlit 1.0

Streamlit used to be the simplest way to write data apps. Now it's the most powerful.

https://blog.streamlit.io/announcing-streamlit-1-0/

OpenCV Contour Approximation

In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s ...

https://www.pyimagesearch.com/2021/10/06/opencv-contour-approximation/

dronesploit

Drone pentesting framework console.

https://github.com/dhondta/dronesploit

PostgreSQL vs Python for data evaluation: what, why, and how

Get a primer on using PostgreSQL to more efficiently perform your data evaluation tasks - done in Excel, R, or Python. Complete with short SQL refresher section, along with 1-to-1 code snippets comparing TimescaleDB and PostgreSQL code against Python code.

https://blog.timescale.com/blog/how-to-evaluate-your-data-directly-within-the-database-and-make-your-analysis-more-efficient/

QuantStats

Portfolio analytics for quants, written in Python.

https://github.com/ranaroussi/quantstats

Nowcasting the Next Hour of Rain

DeepMind's latest research and state-of-the-art model advances the science of Precipitation Nowcasting. You can also explore the data they used for training and find a pre-trained model for the UK via

https://deepmind.com/blog/article/nowcasting

Opta

Infrastructure-as-code where you work with high-level constructs instead of getting lost in low level cloud configuration.

https://github.com/run-x/opta

A new AI constraint solver for Python: OptaPy

Python developers can now solve AI planning problems (such as the vehicle routing problem and employee rostering) with OptaPy. This post shows you how to use OptaPy and a bit of plain Python code to tackle a typical mathematical optimization problem: generate a better school timetable schedule for teachers and students.

https://www.optaplanner.org/blog/2021/10/05/ANewAIConstraintSolverForPythonOptaPy.html

7 Ways to Make Your Python Project Structure More Elegant

Here are the best practices for a manageable, scalable, and easily understandable python project ...

https://towardsdatascience.com/python-project-structure-best-practices-d9d0b174ad5d

How Dialpad Moved Its Python AI Development from Pip to Poetry

Learn how DialPad switched from Python's pip to Poetry for next generation package management.

https://thenewstack.io/how-dialpad-migrated-its-ai-development-from-pip-to-poetry/

Essential Linux Command-Line Tricks for Computer Vision Researchers

In this post, we go through some useful command-line tricks which can help Computer Vision ...

https://towardsdatascience.com/essential-linux-command-line-tricks-for-computer-vision-researchers-27d4f013d9a

Pithus

Pithus is a free and open-source platform to analyze Android applications for activists, journalists, NGOs, researchers...

https://beta.pithus.org/about/

Pip vs Conda: an in-depth comparison of Python's two packaging systems

If you’re using Python in the world of data science or scientific computing, you will soon discover ...

https://pythonspeed.com/articles/conda-vs-pip/