Learn how to use mitmproxy framework to build HTTP proxies using Python
Learn how to use HuggingFace transformers library to fine tune BERT and other transformer models for text classification task in Python.
Your guide for starting learning Python with a MacBook, making sure that Mac is performing optimally, installing Python on Mac and picking the best editor for your learning journey.
Learn how to use Gmail API to send emails, search for emails by query, delete emails, mark emails as read or unread in Python.
Learn how to use Keystone engine, Capstone engine and Unicorn engine to assemble, disassemble and emulate machine code (ARM, x86-64 and more) in Python
Learn how to compute and detect SIFT features for feature matching and more using OpenCV library in Python.
Learn how to use Shodan API to make a script that searches for public vulnerable servers, IoT devices, power plants and much more using Python.
Learn how to use Telegram API and python-telegram-bot wrapper to build a Telegram Bot in Python.
Learn how to use Selenium library with Chrome driver in Python to login to websites automatically as well as verifying login success.
Learn how to use scikit-image library to extract Histogram of Oriented Gradient (HOG) features from images in Python.
Learn how you can use IMAP protocol to delete specific mails in your email account in a selected mailbox using the built-in imaplib module in Python.
Learn how to perform automated browser testing with Microsoft Edge browser and Selenium library in Python.
Learn how to perform perspective image transformation techniques such as image translation, reflection, rotation, scaling, shearing and cropping using OpenCV library in Python.
Learn how to build a simple chat room application that accepts multiple connected clients using built-in's sockets and threading libraries in Python.
Learn how to use Python's built-in logging module to log your Python applications, changing default format, level, and learning in a concrete example, as well as using logging handlers.
Learn how to use Huggingface transformers and PyTorch libraries to summarize long text, using pipeline API and T5 transformer model in Python.