Complete Python Course with 10 Real-World Projects: Become a Python programmer by learning to build Python programs, GUIs, web apps, APIs, and more!

Python is a multi-paradigm programming language with object-oriented and structured programming fully supported, and many features support functional and aspect-oriented programming (metaprogramming and metaobjects). Several other paradigms are supported through extensions, including design by contract and logical programming. This course begins with a brief introduction and covers basic to advanced programming techniques in Python. The first 12 sections of the course cover Python basics. The remaining sections cover intermediate to advanced Python concepts (OOPS, classes, lists, modules, functions, JSON, and so on). Learn to use Matplotlib, NumPy, Flask, and Android APK files. Learn database handling and build geographical apps. The ten buildable apps covered in the course include a volcano web map generator, object detector app, personal website built with Python and Flask, book inventory desktop GUI app with SQL backend, data analysis/visualization dashboard, mobile app on Android and iOS devices, an app that scrapes multiple real estate webpages data, web app to collect user data and sends emails, blog and translator with Django, and web app to process Excel files and download processed files. Upon completion, you can create executable Python programs independently and master coding syntax and Python comprehensively. All codes are available at: https://github.com/PacktPublishing/Complete-Python-Course-with-10-Real-World-Projects

The course exclusively delivers content for people who have not programmed before and assumes you have no previous programming knowledge. You will learn every programming concept in the context of real-life programming examples by building real-world programs. If you are a budding programmer looking to acquire comprehensive programming skillsets using Python language or are looking to master Python coding, this course is for you. The prerequisites include accessing a computer (Windows, Mac, or Linux). No prior knowledge of Python or previous programming experience is needed.