Python on Den's Hub: Technology Solutions, Guides and Best Practices

Face Detection and Tracking Models

Sat, 07 Jun 2025 10:00:00 +0200

Face recognition is a key technology powering countless solutions: from smartphone unlocking to complex security systems. Today’s market offers dozens of models, each promising high accuracy and speed. But how do you navigate this diversity and choose the right one for your project?

Whether it’s a mobile app with real-time face recognition or a surveillance system with high accuracy requirements, choosing the right model is critical. Studying comparative tests and reviews of leading face detection and tracking algorithms is the first step toward effective technology implementation. This approach will not only save resources but also achieve stable and fast performance in real-world conditions.

The Best Python IDEs and Editors for Mac

Fri, 01 Apr 2022 12:00:00 +0200

Introduction

Setting up a user-friendly development environment is extremely important for Python programmers working on macOS. The right tools can greatly increase your efficiency, reduce debugging time, and improve your overall programming experience. Whether you’re just starting your Python journey or you’re already an experienced developer, the right set of apps can make a big difference in your productivity.

In this article, we’ll look at the essential tools for Python developers on macOS, from terminal apps and text editors to full-featured IDEs and interactive notepads. We’ll highlight each tool’s strengths and features to help you find the perfect solution for your development needs.

Introduction to Python Code Testing with PyTest

Sat, 12 Feb 2022 12:00:00 +0100

A test is code that executes code. When you start developing a new feature for your Python project, you could formalize its requirements as code. When you do so, you not only document the way your implementation’s code shall be used, but you can also run all the tests automatically to always make sure your code matches your requirements. One such tool, which assists you in doing this is pytest and it’s probably the most popular testing tool in the Python universe.

Speed up your Python code with Microsoft Pyjion

Fri, 12 Nov 2021 10:10:00 +0100

Pyjion is a tool that can significantly boost Python performance by integrating a Just-In-Time (JIT) compiler into the Python runtime. This article explains how Pyjion works and how developers can use it to speed up their Python code without needing to make any major changes to their projects. It’s a great option for anyone looking to optimize Python’s execution speed while maintaining simplicity.

What is Pyjion

The most common way to speed up your Python code is to use CPython, the official Python interpreter. It compiles code into an intermediary language called bytecode and evaluates this code whenever your code is executed. This allows lots of flexibility, but has a downside. Simple calculations where CPUs are very efficient, like arithmetic of integers and floating point numbers are significantly slower in CPython than other interpreters.

Python on Google Colab

Sat, 25 Jul 2020 11:29:32 +0200

Google Colab is a powerful platform for writing and executing Python in your browser with zero configuration required, free access to GPU, and easy sharing, learning and quickly developing machine learning models in Python. It is based on the Jupyter notebook and supports collaborator development.

Google Collab allows developers to write and execute arbitrary Python code through the browser, document the code that supports mathematical equations, create, upload and share notebook from and to Google Drive, import and publish notebooks from GitHub, import external datasets from Kaggle. It also allows to integrate and support ML libraries such as PyTorch, TensorFlow, Keras, OpenCV, and finally, free cloud service with free GPU (graphical processing unit) and TPU (tensor processing unit) acceleration.

Best Python Books to Grow Your Coding Skills

Wed, 08 Jul 2020 16:36:01 +0200

Python is one of the most popular programming languages in the world. With its simple syntax, readable code, and rich libraries, Python has become an essential tool for developers, data scientists, and machine learning experts.

The books listed here cover the fundamentals of Python and delve into specialized areas like data science and automation. Whether you are new to programming or seeking to broaden your knowledge, these books are excellent resources for your learning journey.

Security when installing Python packages

Tue, 05 Nov 2019 22:12:03 +0100

You should always think about security. Especially when you’re writing code. And twice as much when you use other people’s code. It saves a lot of time and effort. But it can also lead to problems, especially if you don’t at least use common sense.

Modules

When programming, you can save commonly used classes, objects, and functions in modules. This is the official name for files with the extension .py. Conventionally, a module can be distinguished from an ordinary Python program by the fact that the program is designed to run and execute, while the module is designed to store frequently used constructs and import them into other programs.

How to save information to a log file in Python

Sun, 03 Nov 2019 14:28:40 +0100

This article provides a comprehensive guide on how to save logs in Python using the built-in logging module. It walks you through the process of setting up a log file, configuring logging levels, and customizing log formats to suit your needs. Whether you’re debugging or tracking application behavior, these techniques will help you effectively manage your logs and gain better insights into your Python applications.

Suppose you need to save some information about an event and when it happened to a log file. One of the most appropriate file formats for this is JSON.