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 article demonstrates three efficient Python techniques—list unpacking, NumPy aggregation, and functional reduction—to sum corresponding elements across sub‑lists in a two‑dimensional list, complete with code examples and visual explanations for beginners and seasoned developers alike.
This article demonstrates five pandas‑based methods for extracting unique hourly records from an Excel file, showing how to manipulate datetime columns, drop duplicates, and save the cleaned data, while comparing the strengths and pitfalls of each approach.
This article walks through a real‑world case of reverse‑engineering a JavaScript video‑encryption routine, translating its core functions into Python, and demonstrates how to reconstruct the encrypted URL to download the video using a web‑scraping approach.
This tutorial shows how to use Python to scrape song lyrics from a music website, format them, and automatically email them each day, with optional scheduling via Windows Task Scheduler, providing full source code and step‑by‑step explanations.
This article explains the concept and syntax of SQL window functions, demonstrates basic and advanced use cases with step‑by‑step data preparation, queries using row_number() and lag, and provides complete scripts to solve common interview‑style ranking problems.
This article tackles a common Python question—how to count the number of 1s in a list—by presenting four concise solutions using filter with a lambda, list comprehensions, the Counter class, and the built‑in count method, each illustrated with clear code examples.
This article shows how to transform a list of (letter, number) tuples into two independent lists using four different Python approaches—including basic loops, zip unpacking, pandas, and numpy—complete with code examples and output screenshots.
This article walks through a Python data‑analysis task where a user wants to count how many teachers come from each country, demonstrating two solutions with pandas—using the merge() function and the join() method—complete with code snippets and step‑by‑step explanations.
This article demonstrates how to use Python's requests library and regular expressions to scrape Baidu search result titles and URLs, save them to a CSV file, and suggests alternative parsers like XPath or BeautifulSoup for further extraction.
Learn how to scrape Baidu search result titles and URLs using Python's requests library and lxml's xpath parsing, complete with a ready-to-run script, CSV output, and step-by-step explanation that builds on earlier regex and BeautifulSoup methods.
