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.

MarkItDown: A Document Conversion Tool

Wed, 25 Dec 2024 10:00:00 +0200

Document format management remains a persistent challenge in professional environments. Microsoft’s recent release of MarkItDown addresses this challenge by providing a robust Python library for converting various document formats to Markdown. For those new to Markdown syntax and its applications in content creation, our comprehensive guide provides essential context for understanding this tool’s significance.

Core Functionality

MarkItDown serves as a unified solution for document conversion, handling multiple input formats:

Exploring Verba, the Golden RAGtriever

Sat, 25 May 2024 09:00:00 +0200

Verba is a new AI-powered tool that assists users in creating engaging and meaningful content. Designed to help with everything from brainstorming to drafting, it enables users to enhance their productivity and creativity. Whether you’re a writer or content creator, Verba brings fresh possibilities to streamline your creative process.

Introduction

Welcome to an exciting journey into the world of vector search with Verba!

Whether you’re a beginner eager to explore new tools or a seasoned developer looking to expand your toolkit, this blog post is crafted just for you. We’ll dive deep into what Verba is, its use cases, how to use it with Python, and compare it to a couple popular alternatives.

Comparing Vim and Neovim for Python Developer

Sat, 18 Mar 2023 10:00:00 +0100

Choosing the right text editor for a Python developer makes a big difference in productivity and workflow. Two of the most popular integrated environments today are VS Code and PyCharm. They are great tools that offer a lot of extras. We reviewed and compared them and many other solutions before.

Introduction

There are two powerful and popular command line based text editors with similar features and capabilities. However, they also have some differences in terms of functionality, usability and performance.

Think Like Programmer: Problem Solving

Sun, 15 Jan 2023 10:00:00 +0100

The article explains how breaking down complex problems, recognizing patterns, and approaching tasks methodically can help anyone think more like a coder. Whether you’re new to programming or looking to sharpen your skills, adopting this mindset can improve both your coding and logical thinking abilities.

Intro

In order to keep my programming skills sharp, from time to time I solve problems on the LeetCode. It’s great because it’s constantly evolving, it has a friendly interface, you can choose problems on topics that interest you and there’s an excellent community, from which you can learn a lot.

Best Framework to Build an API in Python

Mon, 01 Aug 2022 12:00:00 +0200

In the previous article we figured out what an API is and how it works - a set of rules and protocols that allows different software applications to communicate with each other. Now, let’s explore how to choose the best framework for building APIs in Python.

Each article covers a different topic. If you’re just starting to understand how to write your own API, it’s useful to read everything in order. If you already know it and are interested in a particular topic, go straight to it.

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.

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.