Python Code Tutorials

Learn how to perform reverse DNS lookups and find other websites hosted on the same server using Python and the ViewDNS API. Perfect for network administrators and cybersecurity professionals.

Learn how to make plots with Python and matplotlib by checking texts for their word frequency distributions.

Learn how to reverse videos by extracting frames and loading them in the inverted order using MoviePy library in Python.

Learn to protect your downloads from corruption and cyberattacks. This guide teaches you how to verify file integrity using Python, ensuring that your files remain authentic and untampered.

Learn how to benefit from the encoding/decoding process of an autoencoder to extract features and also apply dimensionality reduction using Python and Keras all that by exploring the hidden values of the latent space.

Discover how to create custom dummy packets using Python's Scapy library to simulate network traffic, test firewall rules, and monitor latency. This tutorial covers practical examples for TCP, ICMP, and UDP packets, with real-world applications in network performance monitoring.

Learn how to perform logistic regression algorithm using the PyTorch deep learning framework on a customer churn example dataset in Python.

Learn how you can perform K-Fold cross validation technique using the scikit-learn library in Python.

Learn how to build a GUI language translator app with tkinter, googletrans, pyttsx3, ttkbootstrap, and pyperclip libraries in Python.

Master Python facial recognition with our step-by-step tutorial. Build real-time and image upload systems to identify faces with precision. Essential for security, attendance, and more. Perfect for beginners. Dive into the biometric tech world now!

Learn how to enhance security with Python by implementing Two-Factor Authentication (2FA) using TOTP and HOTP algorithms. This comprehensive guide covers everything from generating OTPs with pyotp to integrating with authenticator apps.

Learn how to use image segmentation transformer model to segment any image using huggingface transformers and PyTorch libraries in Python.

Using Python standard library pickle module to save (pickle) and load (unpickle) any type of object in Python.

Learn how you can control images generated by stable diffusion using ControlNet with the help of Huggingface transformers and diffusers libraries in Python.

Learn how to build a custom wordlist generator with options of minimum and maximum characters, and more with itertools in Python.

This article discusses the preprocessing steps of tokenization, stemming, and lemmatization in natural language processing. It explains the importance of formatting raw text data and provides examples of code in Python for each procedure.