Learn how to monitor and watch your file system for events by creating a watchdog in Python with watchdog and pygtail libraries.
Learn how to use colorama library to print colored text with different colors (such as red, green and blue) in the background and foreground and brightness in Python.
Learn how to use Huggingface transformers library to generate conversational responses with the pretrained DialoGPT model in Python.
Encrypting and decrypting files in Python using symmetric encryption scheme with cryptography library.
Learning how to use Speech Recognition Python library for performing speech recognition to convert audio speech to text in Python.
Learn how you can use IMAP protocol to extract, parse and read emails from outlook, gmail and other email providers as well as downloading attachments using imaplib module 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.