Python Code Tutorials

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.

Learn how to crack zip file passwords using dictionary attack in Python using the built-in zipfile module.

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 Wi-Fi scanner in Python using Scapy that finds and displays available nearby wireless networks and their MAC address, dBm signal, channel and encryption type.

Learning how to crack FTP servers using dictionary attack (brute-forcing with a wordlist) with the help of ftplib module in Python.

Learn how to play and record sound files using different libraries such as playsound, Pydub and PyAudio in Python.

Using different methods such as thread pool executor or threading module to create and handle threads for speeding up I/O bound tasks in Python.

Building a tool to extract all Javascript and CSS files from a web page in Python using requests and BeautifulSoup.

Using the state-of-the-art YOLOv8 object detection for real-time object detection, recognition and localization in Python using OpenCV, Ultralytics and PyTorch.

Using Python wrapper for qBittorrent Web API to automatically download, pause and handle torrent files in Python.

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

Calculating the size of a directory in bytes in Python and plotting a pie using matplotlib to see which subdirectory takes most size.

Learn how to perform web scraping at scale by preventing websites to ban your ip address while scraping them using different proxy methods in Python.

Extracting HTML tables using requests and beautiful soup and then saving it as CSV file or any other format in Python.