Python Programming & Software Design For Absolute Beginners

Install Python and PyCharm IDE, set up Anaconda and notebooks, and learn to run code on Windows, Mac, and Linux for machine learning basics.

Learn to download and install Anaconda, configure your environment, and launch tools like Jupyter Notebook to run beginner machine learning demos.

This session introduces variables in Python, demonstrates assigning values (x = 2, y = 8), printing them, and performing simple operations to show how variable values change over time.

Master basic Python variables and indexing concepts in this second part of the session, exploring zero-based and negative indexing, string indexing, and error handling when indices are out of range.

Explore Python basics of variables and list indexing, including zero-based indexing, accessing first and second elements, and a function to get the length of a screen name.

Discover how Python lists can hold various types and values, including integers, and contrast this with Java where such mixed lists are not possible.

This lecture demonstrates Python list operations, including appending values to the end, inserting at a specific index, and removing elements, while explaining list indexing and element positions.

Explore essential Python list operations, including indexing, popping, removing elements, and finding min and max values, plus sorting, to manipulate and analyze lists.

Learn how Python loops enable iteration, using indentation to define the loop body and block, plus how conditions and boolean expressions control repeated execution with practical number examples.

Learn to build a simple guess the number program in Python by using loops and if conditions to implement decision making and handle user input.

Learn Python basics by generating random numbers with the random module, using examples from 1 to 20, and building foundational programming skills for absolute beginners.

Explore loops and conditional logic through a guess the number program, using while loops, if conditions, and random numbers to teach input handling, comparison, and basic software design.

Design a Python program that lets users enter scores until sentinel -9, then computes the class average, ensuring at least one score and guarding against division by zero.

See how functions organize Python code, reduce duplication, and enable reuse through a demonstration that passes parameters, calls functions, and separates logic for tasks like averaging.

Explore pass by reference and pass by value in Python, using list examples to show how parameters inside a function can reflect changes outside the function.

Learn how to define and call Python functions with required, keyword, and default arguments, including matching parameter counts, using keyword notation to bypass order, and applying default values.

Learn how Python for loops control repetition with range, starting at 0 and ending exclusive, with optional start and step; compare for loops to while loops for known repetitions.

This lecture introduces Python file handling using the open function with a file name and mode, outlining read, write, append, and create-if-not-exist options and reading content.