Python Code Tutorials

Using different hashing algorithms such as SHA-2, SHA-3 and BLAKE2 in Python using hashlib built-in module for data integrity.

Using the state-of-the-art YOLOv8 object detection for real-time object detection, recognition and localization in Python using OpenCV, Ultralytics and PyTorch.

Learn how to configure your MySQL server to be able to accept remote connections from Python

Learn how to create a streaming application with real-time charting by consuming webhooks with the help of Flask, Redis, SocketIO and other libraries in Python.

Learn how to play and record sound files using different libraries such as playsound, Pydub and PyAudio in Python.

Learn how to compute and detect SIFT features for feature matching and more using OpenCV library in Python.

Learn how to perform web scraping at scale by preventing websites to ban your ip address while scraping them using different proxy methods in Python.

Learn how to extract Google Chrome browser saved cookies and decrypt them on your Windows machine in Python.

Building and creating an ARP Spoof script in Python using Scapy to be able to be a man in the middle to monitor, intercept and modify packets in the network.

Learn how to use Scapy library in Python to perform a TCP SYN Flooding attack, which is a form of denial of service attacks.

Learn how you can convert HTML pages to PDF files from an HTML file, URL or even HTML content string using wkhtmltopdf tool and its pdfkit wrapper in Python.

Making a facebook messenger chat bot in python using fbchat library, you can make customized auto messages and bots, get user information, and much more handy tools.

Using ipaddress standard Python library to manipulate IPv4 and IPv6 addresses, networks, subnets and more.

Using Python wrapper for qBittorrent Web API to automatically download, pause and handle torrent files in Python.

Writing a DNS spoofer script in Python using Scapy library to successfully change DNS cache of a target machine in the same network.

Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.