
Explore the basics of Python in an easy, beginner-friendly course designed for new programmers. Learn why Python's demand and cross-platform use attract major companies like Google and IBM.
Learn the basics of Python by writing your program that prints hello world and exploring variables. Install Python, use an ide, and practice debugging to fix syntax errors with quizzes.
Learn how to use Python variables, assign values, and print them, with rules for valid names—letters, numbers, underscores—and how to avoid reserved keywords and starting with a number.
Learn the boolean data type in Python, using true or false outputs and 1 or 0 representations, with examples of how booleans drive output.
Replace elements in a Python list by assigning a new element to the list index, using the syntax variable_name[index] = new_element, then print to verify.
Learn Python list slicing by specifying start and end indices and a step. See how zero and negative indices affect the sliced outputs.
Explore Python sets as immutable mathematical collections of unique objects, where each element appears only once and duplicates are ignored, reflecting the set's properties.
Learn three ways to create sets in Python: using curly braces, the set() function, and converting a list to a set, while noting that sets are unordered.
Explore how dictionaries in Python store data as key-value pairs with unique keys, using curly braces, while values may repeat and there is no particular order.
Learn how to access dictionary elements in python by using square brackets or the get method, and understand how missing keys return None through simple fruit key examples.
Learn how to delete or remove elements from a dictionary using pop, popitem, del, and clear, and see how the dictionary becomes empty.
Explore Python dictionary methods and built-in functions to manage dictionaries, check emptiness with len, compare dictionaries, and produce a sorted list of keys.
Explore how Python uses code blocks and indentation as syntax, with four spaces signaling blocks and controlling if and else blocks and print statements.
Learn how to check equality in Python using the double equals operator in if statements, cover case sensitivity and practical examples.
Explore Python basics by checking multiple conditions with and/or in if statements, using relational operators to compare values like x and y and determine when to print results.
Discover how the range function in Python generates an iterator, supports start, stop, and step, handles positive and negative steps, and works with list to display sequences.
Explore the program structure in Python, learn how to create and use functions, and master anonymous functions (lambda) with debugging methods, assignments, and quizzes.
Define a function named add with two parameters a and b that returns a plus b, and save the program as a module with a .py extension.
Learn how to use Python's open function to open a file by name, specifying its path and access mode (read, write, or append) in your program.
Learn how to close a file in Python using the close method and verify its status by checking whether the file is closed after the operation.
Explore reading and writing files in Python using open, write, and read methods; learn how write overwrites existing content and how to read bytes, line, or lines from a file.
Python is a very simple yet extremely powerful programming language. It is a scripting language that is widely used for prototyping to get work up and running in a short amount of time.
This course assumes no programming experience and slowly builds the skills you need to take on larger challenges.
This course is divided into below chapters
Basics of Python Programming Variables (Numerical/Boolean/String) Collections (Lists/Tuples/Sets/Dictionaries) Flow Control (For Loops/While Loops / Repetitive Execution/Conditional Execution/Iterative Execution) Program Structures(Named Functions/Anonymous(Lambda Functions)/Generator Functions Libraries
Every lecture will explain the fundamentals in detail before taking you to actual code execution.
By the end of this course, you will be a mature Python programmer. Make use of the expertise to design programs of your choice and be ready to take your Python skills in any direction that you need.