Matched Python Tutorials and Topics

Learn how to handle PDF files in Python, from extracting links, images to inserting watermarks and manipulating text.

Learn how to merge two or multiple PDF files into a single PDF file using PyPDF4 library in Python

Discover how to utilize the PyPDF2 library to password-protect and encrypt PDF files, ensuring top-notch security for sensitive documents. Learn to create a secure PDF locker and adopt strong password practices for enhanced cybersecurity.

Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.

Learn how you can convert HTML pages to PDF files from an HTML file, URL or even HTML content string using wkhtmltopdf tool and its pdfkit wrapper in Python.

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

Learn how to add and remove passwords to PDF files using PyPDF4 library, as well as using pyAesCrypt to encrypt and decrypt PDF files in Python

Learn how you can extract links and URLs from PDF files with Python using pikepdf and PyMuPDF libraries.

Learn to safeguard privacy by removing metadata from PDFs using Python's PyPDF2 in this tutorial. Discover how metadata can expose sensitive information and how to erase it to protect confidentiality, with step-by-step code guidance and practical examples.

Learn how to extract and save images from PDF files in Python using PyMuPDF and Pillow libraries.

Learn how to use pikepdf library to extract useful information from PDF files in Python.

Learn how to add and remove watermarks to/from PDF files with PyPDF4 and reportlab libraries in Python.

Learn how to use PyMuPDF library to highlight, frame, underline, strikeout and redact text in PDF Files with Python.

Learn how you can use pdf2docx library to convert PDF files to docx word files in Python

Learn how you can make a PDF splitter script with the help of pikepdf library in Python.

Learn how to use PyMuPDF library to convert PDF files into individual images per page in Python.

Learn how you can build a PDF viewer GUI from scratch using Tkinter and PyMuPDF libraries in Python.

Learn how to generate self-signed certificates and sign them into PDF files as digital signatures using PyOpenSSL and PDFNetPython3 libraries in Python.

Learn how to compress PDF files in Python using the wrapper of PDFTron SDK.

Master Python's Faker library to generate and manage fake user data. Ideal for privacy protection and software testing, this tutorial covers creating a versatile program for realistic data generation, including saving options in CSV or TXT formats.

Learn how to leverage tesseract, OpenCV, PyMuPDF and many other libraries to extract text from images in PDF files with Python

Learn how to extract text as paragraphs line by line from PDF documents with the help of PyMuPDF library in Python.

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

Learning how to extract tables from PDF files in Python using camelot and tabula libraries and export them into several formats such as CSV, excel, Pandas dataframe and HTML.

Learn how to perform vehicle detection, tracking and counting with YOLOv8 and DeepSORT using OpenCV library in Python.

Creating fake access points and fooling nearby devices by sending valid beacon frames to the air using scapy in python.

Master IP spoofing with Python: Dive into crafting fake IP addresses to test network security. Utilize Scapy and Faker in a hands-on tutorial to send spoofed ICMP packets, complete with practical examples and step-by-step instructions.

Learn how to perform gender detection on detected faces in images using OpenCV library in Python.

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

Learn how to perform age and gender detection using OpenCV library in Python with camera or image input.

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

Learn how to predict someone's age from his front face picture using OpenCV library in Python

Learn how to recover deleted files using Python by scanning raw disk data for known file signatures. This step-by-step guide walks you through creating a basic file carving tool to retrieve lost JPGs, PDFs, DOCX files, and more.

Explore the critical role of Non-Maximum Suppression (NMS) in object detection to eliminate redundant bounding boxes, ensuring precise results. This guide covers NMS's workings, the importance of Intersection-over-Union (IoU), and how to implement NMS with OpenCV in Python.

Learning how to detect contours in images for image segmentation, shape analysis and object detection and recognition using OpenCV in Python.

Learn to validate credit card numbers using the Luhn algorithm in Python. This tutorial covers the algorithm steps, card type detection, and handling multiple card numbers from a file.

Automate the detection and exploitation of OS command injection vulnerabilities using Python. This comprehensive guide covers setting up a test environment with DVWA and Metasploitable, detecting vulnerabilities, and automating tests with custom scripts.

Learn how to use transfer learning to build a model that is able to classify benign and malignant (melanoma) skin diseases in Python using TensorFlow 2.

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

Learn how to build a model that is able to detect fraudulent credit card transactions with high accuracy, recall and F1 score using Scikit-learn in Python.

Learn how to build a deep learning malaria detection model to classify cell images to either infected or not infected with Malaria Tensorflow 2 and Keras API in Python.