Python Code Tutorials

Using Github Application Programming Interface v3 to search for repositories, users, making a commit, deleting a file, and more in Python using requests and PyGithub libraries.

Learn how to use Python's built-in ftplib module to download and upload files in a FTP server using RETR and STOR commands respectively.

Detecting shapes, lines and circles in images using Hough Transform technique with OpenCV in Python. Hough transform is a popular feature extraction technique to detect any shape within an image.

Learn how to extract and decrypt Google Chrome browser saved passwords using Python with the help of sqlite3 and other modules.

Learn how to write a port scanner in Python using sockets, starting with a simple port scanner and then diving deeper to a threaded version of a port scanner that is reliable for use.

Sniffing and printing HTTP packet information, such as the url and raw data ( passwords, search queries, etc. ) in case the method is POST.

Learn how to crack zip file passwords using dictionary attack in Python using the built-in zipfile module.

Learn how to use scikit-image library to extract Histogram of Oriented Gradient (HOG) features from images in Python.

Making two different methods to extract frames from videos with the timestamp with OpenCV or MoviePy libraries in Python.

Building a Speech Emotion Recognition system that detects emotion from human speech tone using Scikit-learn library in Python

Learn how you can use pikepdf, pdf2john and other tools to crack password protected PDF files in Python.

Learning how to apply edge detection in computer vision applications using canny edge detector algorithm with OpenCV in Python.

Building a Python tool to automatically extract email addresses in any web page using requests-html library and regular expressions in Python.

Learn how to compress PDF files in Python using the wrapper of PDFTron SDK.

Learn how you can build a chess game from scratch with Python classes and pygame library in Python.

Scraping YouTube videos and extracting useful video information such as title, total views, publish date, video duration, tags, likes and dislikes and more in Python using requests_html and Beautiful Soup libraries.