The Python Mega Course: Build 10 Real World Applications

This is not just another Python tutorial that shows how to write Python code. This is a carefully designed course that will train you to develop real life applications with Python.

Through a combination of videos, real world code examples, quizzes, exercises, and a final project, this course makes sure you are able to think Python, and design and build real world applications by the end of it. After you buy the course, you will have lifetime access to it and to the course cheat sheet ebook containing all the code consumed throughout the course. You can use that book for quick look-up of Python commands.

The course is designed for all student levels. The first 5% of the course teaches Python basics for beginners and can serve as a refresher crash course for post-beginner students. After completing the first 5%, you will be guided in building 10 real world applications in a wide range of areas that include:

• Web applications
• Desktop applications
• Database applications
• Web scraping
• Web mapping
• Data analysis
• Interactive web visualization
• Computer vision for image and video processing
• Object Oriented Programming

By the end of the course you will have built 10 useful applications in the above areas.

The applications you are going to build are as follows:

• A name generator
• A website URL timed blocker
• A web map generator
• A portfolio website with Flask
• A GUI-based desktop application
• A webcam motion detector
• A web scraper of property
• An interactive web-based financial chart
• A data collector web application
• A geocoding web service.

• Become a Python professional able to develop applications independently on Python 3.
• Master advanced Python skills by building real world applications.
• Practice Python by solving quizzes, exercises and a final Python project.
• Fully understand and use object-oriented design.
• Use Python for building web applications with Flask.
• Use Python for building desktop applications with Tkinter.
• Use Python for database applications.
• Use Python for scientific computing with Numpy.
• Use Python for data analysis and interactive web-based visualizations with Pandas and Bokeh.
• Use Python for building interactive web maps with Folium.
• Use Python for scraping data from websites with Beautiful Soup.
• Use Python for computer vision with OpenCV.
• Use Python for sending automated emails with Smtplib.
• Use Python to download data from various data service APIs.
• Use Python to analyze and visualize stock market data.
• Use Python for batch geocoding addresses to geographic coordinates with Geopy.
• Schedule Python programs based on computer events.

• All student levels: course starts from zero and progresses to advanced level.