Python Code Tutorials

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, aol, office 365 and other email providers as well as downloading attachments using imaplib module in Python.

Encrypting and decrypting files in Python using symmetric encryption scheme with cryptography library.

Creating and implementing a keylogger from scratch that records key strokes from keyboard and send them to email or save them as log files using Python and keyboard library.

Writing a server and client Python scripts that receives and sends files in the network using sockets module in Python.

Learning how to extract tables from PDF files in Python using camelot and tabula libraries and export them into several formats such as CSV, excel, Pandas dataframe and HTML.

Controlling computer mouse in python. Hooking events, registering hotkeys, simulating mouse movements and click, and much more.

Learn how to use keyboard module in Python to take full control of your keyboard such as hooking global events, registering hotkeys, simulating key presses and releases and much more.

Learn how you to perform speech synthesis by converting text to speech both online and offline using gTTS and pyttsx3 libraries in Python.

Learn how to make a language translator and detector using Googletrans library (Google Translation API) for translating more than 100 languages with Python.

Extracting and Fetching all system and hardware information such as os details, CPU and GPU information, disk and network usage in Python using platform, psutil and gputil libraries.

Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.

Learn how you can extract image metadata such as GPS info, camera make, model and much more using Exchangeable Image file Format (EXIF) in Python with Pillow library.

Building a crawler to extract all website internal and external links using requests, requests_html and beautiful soup in Python.