Learn how you can make a DHCP listener by sniffing DHCP packets in the network using the Scapy library in Python.
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 to reduce image file size by compressing and resizing the image using Pillow library in Python.
Learn how to make a real-time currency converter using different ways and from various sources such as xe, yahoo finance, xrates and Fixer API in Python.
Learn how you can extract Wi-Fi passwords that are saved in your machine (either Windows or Linux) using Python without installing any third-party library.
Learn how you can pretrain BERT and other transformers on the Masked Language Modeling (MLM) task on your custom dataset using Huggingface Transformers library in Python
Learn how to create a streaming application with real-time charting by consuming webhooks with the help of Flask, Redis, SocketIO and other libraries in Python.
Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.
Learn how to develop your own ethical hacking tools using Python, including password crackers, brute force scripts, information gathering tools, sniffing and much more.
Discussing wide variety of Python topics using various APIs, third party libraries, wrappers, utilities and much more.
Learn how to build web scraping scripts to download, extract and parse structured data from the web using Python.
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
Explore Python's standard library, modules such as os, json, re, ftplib, imaplib, threading, pickle, socket, random, secrets and many more.
Learn how to use third party web APIs (Application Programming Interfaces) to make requests to extract, analyze and handle data programmatically using Python.
Learn how to integrate databases (relational or non-relational) in your Python programs, so you can appropriately store, manipulate and persist your data.
Learn the basics of finance and technical indicators, using Python to analyze and plot historical stock data, develop models to predict stock prices using deep learning frameworks such as TensorFlow.
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