Python Code Tutorials

Learn how to Use Tesseract OCR library and pytesseract wrapper for optical character recognition (OCR) to convert text in images into digital text in Python.

Detecting shapes, lines and circles in images using Hough Transform technique with OpenCV in Python. Hough transform is a popular feature extraction technique to detect any shape within an image.

Learning how to use Speech Recognition Python library for performing speech recognition to convert audio speech to text in Python.

Learning how to apply edge detection in computer vision applications using canny edge detector algorithm with OpenCV in Python.

Learning how to build a Python script to scan for subdomains of a given domain using requests library.

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

Learn what is transfer learning and how to use pre trained MobileNet model for better performance to classify flowers using TensorFlow in Python.

Learn how to compress and decompress files, folders and symbolic links in Python using gzip compression in tarfile built-in module.

Learn how to extract and download images from a single web page in Python using requests and BeautifulSoup libraries.

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

Building a reverse shell in Python using sockets that can execute remote shell commands and send the results back to the server.

Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.

Learn how to use requests and tqdm libraries to build a powerful file downloader with progress bar using Python.

Scraping Google weather search page to extract useful information such as current weather, temperature, next days' weather and much more in Python using requests and Beautiful Soup.

Learning how you can generate and read QR Code in Python using qrcode and OpenCV libraries.

Scraping YouTube videos and extracting useful video information such as title, total views, publish date, video duration, tags, likes and dislikes and more in Python using requests_html and Beautiful Soup libraries.