Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!
This tutorial walks through four practical methods to enter the correct Python interactive shell on Windows when both Python 2 and Python 3 are installed, covering PATH ordering, opening a prompt in the install folder, the py launcher shortcuts, and virtual environments.
This article explains how Python 3 treats all strings as Unicode by default, removing the need for encoding declarations required in Python 2, and demonstrates the behavior on Windows and Linux where the default environment encoding shifts from ASCII to UTF-8.
This tutorial shows how to scrape real-time weather data from Sohu Weather using BeautifulSoup and automatically send it via email with Python's smtplib, including code walkthroughs for both Sohu and 163 email servers, a reference list of common SMTP servers, and PM2.5 air quality standards.
This article introduces Python's regular expression engine, explains the special characters ^, ., and * with clear examples, and demonstrates how they can be used to match and extract specific patterns in web‑scraped text.
This article explains Python's built‑in object model, focusing on simple numeric types—int, long, float, complex, bool—and their literal forms, division behavior differences between Python 2 and Python 3, as well as fractions, boolean values, and complex number operations.
This guide shows how to use the virtualenv tool on Windows to create a Python 2 virtual environment by specifying the interpreter path, activate it, verify the Python version, and then deactivate it, with step‑by‑step commands and screenshots.
This guide walks you through installing virtualenv on Windows, creating a named virtual environment, locating its files, activating it with activate.bat, checking the Python version, and properly deactivating the environment to keep Python2 and Python3 projects isolated.
This guide shows how to launch Python's interactive environment on Windows via IDLE or the command prompt, explains executing statements, using the special '_' variable, handling errors, navigating command history, and switching to script editing for longer programs.
This article reviews the four main Python selectors used for web scraping—regular expressions, BeautifulSoup, lxml/XPath, and CSS—detailing their installation, parsing behavior, advantages, drawbacks, and a performance comparison table to help developers choose the most suitable tool for their projects.
The article argues that in 2026 AI engineering must shift from costly, uncertain experiments to measurable, data‑driven investments by exposing hidden AI expenses, adopting a "grower" mindset, and applying four control valves to turn AI spend into concrete business returns.
