Generating random integers, floating point numbers, strings and bytes using random, os and secrets built-in modules in Python.
Using different hashing algorithms such as SHA-2, SHA-3 and BLAKE2 in Python using hashlib built-in module for data integrity.
Learn how to work with files in Python using os and shutil modules including creating, renaming, moving, removing files and directories, listing all current files and directories and more.
Building a Python tool to automatically extract email addresses in any web page using requests-html library and regular expressions in Python.
Using PyInstaller package to bundle Python applications and all its dependencies into a single stand-alone executables.
Learn how to use Python's standard library smtplib and email modules to connect to any SMTP server and send emails in Python automatically.
Using ipaddress standard Python library to manipulate IPv4 and IPv6 addresses, networks, subnets and more.
Building a Python script that detects XSS vulnerability in web pages using requests and BeautifulSoup.
Learning how you can execute shell commands and scripts on a remote machine in Python using paramiko library.
Writing a Python script to brute-force SSH credentials on a SSH server using paramiko library in Python.
Learning how you can automate routine tasks and manage servers on your Veesp Virtual Private Servers or dedicated servers in Python using Web APIs and requests library.
Using Python standard library pickle module to save (pickle) and load (unpickle) any type of object in Python.
Learning how to hide secret data in images using Steganography least significant bit technique in Python using OpenCV and Numpy.
Using K-Means Clustering unsupervised machine learning algorithm to segment different parts of an image using OpenCV in Python.
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.
Learning how to detect contours in images for image segmentation, shape analysis and object detection and recognition using OpenCV in Python.