
Explore programming language paradigms by distinguishing imperative and declarative styles, and see how procedural, object-oriented, functional, and logical patterns shape Python as a multi paradigm programming language.
Explore why to choose Python amid many languages, highlighting quality software support, developer productivity, portability, 80,000 libraries, and easy cross-language integration.
Download and install Anakonda across Windows, Mac OS, and Linux using the 64-bit graphical installer, then restart to complete the setup with Jupiter and Spyder.
Install and launch Spyder via Anaconda, run Python code, and explore its use for scientific computing, data science, and machine learning, comparing it to web development environments.
Create new folders and text files in Jupiter notebook, write Python code, save files manually, and run them to print output on the console.
Discover how to create and use Python variables, print values, and inspect types with the type function. Explore implicit data type declaration, multiple assignment, and Python's basic data types.
On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.
The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.
Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.
We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.
Do I need previous experience with other programming languages to take this course?
No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.