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 walks through a common Python integer‑rounding challenge, explains why a naïve implementation fails for certain inputs, and presents three concise solutions—including a math.ceil approach and a ternary expression—complete with runnable code snippets and visual examples.
This article walks through using Pandas to directly read HTML pages, extract table data, handle AJAX‑loaded JSON and CSV formats, and save results, providing concise code examples and visual steps for effective Python web scraping and data mining.
This article explores a common Python confusion by explaining why the built‑in function all applied to an empty tuple returns True, whereas any applied to the same empty tuple returns False, and provides step‑by‑step code analysis and visual explanations.
This article walks through a common Pandas date‑handling challenge—converting month strings to the correct month‑end dates—by explaining the problem, presenting two robust code solutions, discussing edge‑case behavior, and offering a dependency‑free alternative for reliable results.
This guide walks through using Frida to hook common Android methods, print stack traces, and extract runtime data, providing ready-to-use code snippets for functions like HashMap.put, ArrayList.add, TextUtils.isEmpty, Base64 encoding, and UI event handling.
This article walks through a real‑world Pandas question, showing the original dataset, the expected output, and two concise code solutions—one using groupby with unique strings and another with set conversion—plus a performance comparison.
This article demonstrates how to calculate the average of list‑type marks for each student in a Pandas DataFrame using two straightforward approaches, complete with code snippets and visual results to help Python learners solve similar data‑processing tasks.
This tutorial demonstrates how to reverse‑engineer the X‑Product Android app, locate the dynamic newSign parameter, hook the RequestUtils.c method with Frida, and expose it via an RPC‑based FastAPI service to generate valid signed requests for the search API.
This article demonstrates how to employ Frida's RPC forwarding to intercept and bypass encryption in a mobile app, providing step‑by‑step environment setup, hook scripts, and a FastAPI service that enables Python‑based crawling of protected API endpoints.
This tutorial demonstrates how to use Frida to hook Java‑level encryption functions in Android apps, covering preparation utilities, self‑exfiltration of MD5, SHA1, MAC, DES/AES/RSA, and signature algorithms with detailed code snippets and visual examples.
