363 Courses delivered Online

Learn database-driven web development with Django and Python

Code a real app from scratch!

With this course, you will kick start your journey of creating awesome GUI applications in Python using the Tkinter library. During the process, you will become familiar with the GUI widgets, application layout, and executable files.

This course on MongoDB is for absolute beginners and provides an interactive learning experience that reflects the most in-demand skills. The content will help you understand the concepts and methodology with regards to MongoDB in an effortless way. The strong basic understanding you gain initially will help you move toward learning more advanced concepts.

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

Discover the fascinating world of decentralized trading with Python and DYDX. Build a sophisticated trading bot, harness statistical arbitrage techniques, and automate your trading strategies on the AWS cloud. Gain the skills to navigate the cryptocurrency market and achieve consistent profitability in this comprehensive and hands-on course.

This course covers the Django web framework from the beginning and also covers advanced Django features. Besides Django, the course also covers HTML, CSS, and Bootstrap, which will introduce full-stack development with Django so that you can build complete web apps from scratch. Learn to develop your own web applications with the help of this course.

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Learn Python and build & deploy a real estate application using the Django framework & PostgreSQL