Python

Python is a high-level, general-purpose programming language. Its design emphasises code readability, using significant indentation instead of braces to mark blocks of code. Python is dynamically typed and manages memory automatically through garbage collection.

Python 3, the current version of the language, is used in web development, data analysis, machine learning, automation, scientific computing and education.
It supports several programming styles – procedural, object-oriented and functional – and comes with a large standard library plus thousands of third-party packages such as NumPy and pandas.
Python code is usually shorter than equivalent code in languages such as Java or C++, and its indentation rules keep programs consistently readable.
It is widely used across the software industry, from start-ups to large technology companies, and in research and teaching.

What You Will Learn

Python Fundamentals

Colab, variables, data types, operators, input and type casting.

Control Flow & Functions

Decisions, loops, functions, scope, lambda and recursion.

Data Structures & Files

Lists, tuples, dictionaries, file handling and Google Drive.

NumPy

Arrays: creation, indexing, slicing, reshape, join, split, search, sort and filter.

pandas

Series, DataFrames, selecting and filtering data, CSV files and missing values.

Practice & Assessment

15 questions and a 5-question MCQ test on every page, plus assignments.

Every code example on this site has been run, and the output shown is the real output.

Course Contents

COREPython Programming

PREREQUISITE

Prerequisite : Programming Basics

Programming basics before Python: what a program is, algorithms, flowcharts, pseudocode, compilers vs interpreters and types of errors. Notes, Q/A and MCQ.

CH-1

Google Colab and Python Basics

Start Python with Google Colab: notebooks, code and text cells, print(), comments, indentation, keywords and identifiers. Notes, examples, Q/A and MCQ.

CH-2

Variables and Data Types

Python variables and data types: int, float, complex, str, bool, None, list, tuple, set and dict, type(), naming rules and mutable vs immutable objects.

CH-3

Basic Operators

Python operators explained: arithmetic, comparison, logical, assignment, bitwise, membership and identity operators, with precedence rules and examples.

CH-4

Data Reading (Input) and Type Casting

Read user input in Python with input(), convert types with int(), float(), str(), bool(), handle conversion errors and format output with f-strings.

CH-5

Decision Making

Python decision making: if, if-else, if-elif-else, nested if, conditional (ternary) expressions, truthy and falsy values and the match statement.

CH-6

Loops

Python loops: while and for loops, range(), break, continue, pass, loop else clause, nested loops and common looping patterns with examples.

CH-7

Functions

Python functions: def, parameters and arguments, default and keyword arguments, *args and **kwargs, return values, scope, lambda and recursion.

CH-8

Lists

Python lists: creating, indexing, negative indexing, slicing, list methods (append, insert, remove, pop, sort), copying and list comprehensions.

CH-9

Tuples

Python tuples: creation, single-element tuples, indexing, slicing, immutability, packing and unpacking, count() and index(), and tuples vs lists.

CH-10

Dictionary

Python dictionaries: key-value pairs, accessing with [] and get(), adding, updating and deleting items, keys(), values(), items(), looping and comprehensions.

CH-11

File System and Google Drive

Python file handling: open(), file modes r, w, a, x, r+, w+, a+, reading and writing files, the with statement, and using Google Drive in Colab.

NUMPYNumPy

NUMPY-1

Array Basics

NumPy array basics: why NumPy, creating 0-D, 1-D, 2-D and 3-D arrays, ndim, shape, size, dtype, and helper functions zeros, ones, arange and linspace.

NUMPY-2