Covers the basic syntax and logic building skills of the programming language. Whether you are new to coding or you are someone with prior experience, this course serves as an ideal start to learn coding. You will learn about several programming concepts including the topics of:

Introduction to coding, Installation, Variables, Getting input from user, Displaying output on the screen, Adding comments to code, Different data types, Integer, float, boolean, String concatenation, Type of errors, Data type conversion, Arithmetic operators, Augmented operators, Comparison operators, Precedence, String methods, Data structures, Lists, Tuples, Sets, Dictionaries, List, set, dictionary methods, Indentation, Conditional branching, If elif else, Loops, While loop, For loop, Break and continue, Nested loops, Functions, Global and local scope, Parameters and arguments, Returning values, Exception handling, File handling, Accessing, reading and writing files, Importing modules, libraries etc.

Object oriented programming (OOP) and classes, Working with standard library, Installing third-party libraries with pip, List comprehension, Recursion, Decorator, Generator, Working with random numbers and text, Handling date and time, Working with JSON / API data, Working with csv files, Working with command line or a terminal, Handling command line arguments, Working with operating system, Running other programs, Creating virtual environments, How to work with databases, Working with excel files, Working with word files, Working with pdf files, Pretty printing, How to automate day to day tasks, Data analysis and the scipy stack, Web development with popular web development frameworks, Making GUI or graphical user interfaces, Web scraping (or screen scraping) and how to extract data from web sites, Learning how to do mathematical and statistical tasks, Working with regular expressions or regex, Automation and testing, Building interactive games, Interactive computing with ipython and jupyter, Numerical computing, Data manipulation, Data visualization and plotting graphs, Data analytics, Scientific computing, Symbolic computing, Natural language processing, Machine learning. Any of the modules, libraries, frameworks like django, flask, selenium, pygame, pandas, matplotlib, numpy, scipy, sympy, nltk, scikit-learn etc. can also be covered.