Learn how to make buttons in PyGame that support pressed calling (multi pressing) and one-shot pressing in Python.
Learn how to make a simple spreadsheet app like Excel, where cells can reference each other and make calculations using Tkinter library in Python.
Learn how to combine psutil and Scapy libraries to make a network traffic monitor per network interface and per process in Python
Learn how to create a CRUD application as a RESTful API using Flask and SQLAlchemy, making a Bookshop web application as a demonstration in Python.
Learn how to make a password generator in Python with the ability to choose the length of each character type using the built-in random, string and argparse modules.
Learn how to make a simple drawing tool with brush color and size changing feature using PyGame library in Python.
Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.
Learn how to develop your own ethical hacking tools using Python, including password crackers, brute force scripts, information gathering tools, sniffing and much more.
Discussing wide variety of Python topics using various APIs, third party libraries, wrappers, utilities and much more.
Learn how to build web scraping scripts to download, extract and parse structured data from the web using Python.
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
Explore Python's standard library, modules such as os, json, re, ftplib, imaplib, threading, pickle, socket, random, secrets and many more.
Learn how to use third party web APIs (Application Programming Interfaces) to make requests to extract, analyze and handle data programmatically using Python.
Learn how to integrate databases (relational or non-relational) in your Python programs, so you can appropriately store, manipulate and persist your data.
Learn the basics of finance and technical indicators, using Python to analyze and plot historical stock data, develop models to predict stock prices using deep learning frameworks such as TensorFlow.
Learn how to create real-world web applications using Python frameworks such as Flask, Django and more.
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