Python Code Tutorials

Learn how to connect to a MongoDB database, list databases, collections, insert data into collections, fetching data from collections and more in Python using pymongo driver module.

Learn how to build a deep learning model that is able to detect and recognize your gender just by your voice tone using Tensorflow framework in Python.

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

Learn how to connect to a MySQL database, create tables, insert and fetch data in Python using MySQL connector.

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

Learn how you can use pikepdf, pdf2john and other tools to crack password protected PDF files in Python.

Learn how you can use Google Drive API to list files, search for specific files or file types, download and upload files from/to Google Drive in Python.

Blurring and anonymizing faces in images and videos after performing face detection using OpenCV library in Python.

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

Learn how to use Python's built-in ftplib module to download and upload files in a FTP server using RETR and STOR commands respectively.

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.

Using Github Application Programming Interface v3 to search for repositories, users, making a commit, deleting a file, and more in Python using requests and PyGithub libraries.

Learn how you can scrape forms from web pages, as well as filling and submitting them using requests html and beautiful soup in Python.

Listing all files and directories in an FTP server using LIST, NLST and MLSD FTP commands in Python using the built-in ftplib module.

Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python

Learning how to create your own Google Custom Search Engine and use its Application Programming Interface (API) in Python.