Python Programming from Scratch

Discover how Python serves as a versatile programming language for web development, scripting, data handling, and rapid prototyping, highlighting its simple syntax, cross-platform support, and rich libraries.

Install python using Anaconda Navigator across Windows and Mac by downloading from Anaconda Navigator download page, running the installer, and launching Anaconda Navigator with the spider, python, and ipython console.

Explore how to use Anaconda Navigator to launch Spyder and IPython console, switch between console and editor, run code, and view outputs in Python.

Explore Python basics including syntax, indentation, and variables, learn how to print strings, use comments and docstrings, and understand case sensitivity and simple type operations.

Explore int, float, and complex types in Python, use the type function to check values, and practice type casting between int, float, and string with practical examples.

Learn about Python operators, including arithmetic, assignment, comparison, logical, identity, membership, and bitwise, and how they perform operations on variables and values. Grasp operator precedence with examples.

Explore Python strings and string literals, including quotes and zero-based indexing. Learn to print and take user input, and use strip, len, lower, upper, replace, and split.

Explore Python lists, ordered and mutable collections using square brackets; learn zero-based indexing, update elements, loop through items, apply if statements, and use append, pop, delete, and clear.

Tuples are ordered, immutable collections in Python, defined with round brackets, supporting indexing but not item assignment or deletion, unlike lists, and include a count method to tally occurrences.

Learn how to define Python sets with curly braces, explore their unordered, unindexed nature, and perform add, update, remove, discard, pop, delete, and length operations.

Learn to work with python dictionaries by exploring keys, values, and curly braces. Access, update, loop through, and remove items, check length, and use items and pop.

Define and call functions in Python, pass parameters, and return data. Explore required, keyword, default, and variable-length arguments and scope global versus local, plus anonymous lambda functions.

Learn how python uses classes as blueprints to create objects, define properties and methods, initialize with init, and access or modify attributes via object methods.

Discover python modules as files of statements and definitions, create example.py, and reuse code by importing modules like math to access pi and other utilities.

Understand Python packages and modules, organize code into packages and subpackages, import with dot notation or direct imports, and learn about numpy, scipy, matplotlib, and pandas through pip installation.

Learn Python inheritance by defining a base class and a derived class, where the child inherits the parent's properties and methods and can override the init method to preserve inheritance.