Python Code Tutorials

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.

Building and training a model that classifies CIFAR-10 dataset images that were loaded using Tensorflow Datasets which consists of airplanes, dogs, cats and other 7 objects using Tensorflow 2 and Keras libraries in Python.

Extracting data and searching in Wikipedia, getting article summaries, links, images and more using Wikipedia library in Python.

Using pyautogui and OpenCV to record display screen video and save it to a file in Python.

Monitoring Operating System processes in Python using psutil library and making a similar program of Windows Task Manager or Linux top utility.

Performing face detection using both Haar Cascades and Single Shot MultiBox Detector methods with OpenCV's dnn module in Python.

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.

Sniffing and printing HTTP packet information, such as the url and raw data ( passwords, search queries, etc. ) in case the method is POST.

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

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.

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

Classifying emails (spam or not spam) with GloVe embedding vectors and RNN/LSTM units using Keras and TensorFlow in Python.