Python 3 Programming A Step By Step Guide for Beginners

Discover the essential beginner-friendly Python setup, including Anaconda's preinstalled libraries, Jupyter notebooks, and cross-platform installation on Windows and Mac, then write and run your first program.

Set up Python with Anaconda, install the latest version, and launch Jupiter notebook. Write and run your first hello world cell.

Install Python 3 on Windows, choose a text editor, install Visual Studio Code, configure the Python interpreter, then write and run your first program "Hello, world" in the editor.

Understand how a python program compiles to bytecode and runs on the python virtual machine, using __pycache__ to cache .pyc files and recompile only when needed.

Install and run Python using a browser-based Jupyter or VS Code, then learn declaring variables and writing expressions to begin programming.

Explore the Python language basics by examining code elements, declaring variables, and working with expressions as you build your first complete Python program.

Learn how to declare variables in Python by assigning a name to a constant, using the equals operator, and storing numbers, strings, and booleans with no semicolons.

Learn how expressions in Python use variables and operators, including the assignment operator, arithmetic and logical operations, with precedence rules and parentheses guiding evaluation.

learn how python handles types and type expressions, including integers and strings, concatenation rules, and using input, int and float conversions, and the differences between python 2 and 3 division.

Watch practical demos on Python types and type conversion, using variable naming, input handling, and comments to collect employee details, convert salary to float, and compute annual salary.

Master variables, pipes and pipe conversions, and how to accept user input while interpreting the expression in detail. Next, learn how to work with conditional statements in Python.

Explore conditional programming constructs, including two-way and multi-way conditionals, if statements, and flowcharts with demos. Learn comparison operators and boolean expressions that guide program flow without changing variables.

Explore how the Python if statement evaluates a condition and executes the indented block when true, using colon syntax and indentation instead of braces, with a months counter example.

Explore how Python if-else statements execute the true block when conditions are true and the else block when they are false, illustrated with flowchart-style examples.

Explore how to use if, elif, and else statements in Python to handle multiple conditions, build grade logic, and validate student scores with code blocks.

Explore nested if statements in Python, using colon and indentation, with else blocks and multiple conditions, and learn to handle input types and case sensitivity in a quiz demo.

Master Python's ternary operator and conditional expressions introduced since Python 2.4, enabling one-liner decisions by evaluating a condition to choose between two expressions, illustrated with a two-number comparison.

Explore various conditional statements, such as if statements and ternary operators, and begin understanding loops and iterations.

Define an indefinite loop and learn to create a definite loop, using break and continue statements to control iteration.

Describe the while loop as an indefinite loop that repeats until the condition is false, with examples like counting 1–10, a user input multiplication table, and formatting with break statement.

Use the break statement in Python to exit an infinite loop when a condition is met; otherwise the else block won't execute if break ends the loop.

Finish a loop iteration with the continue statement in Python, jumping to the top of the loop to start next iteration and skip remaining code when a condition is met.

Learn definite loops with the for loop to iterate over sequences, use break and continue to control flow, and solve tasks like summing and finding max or min.

Explore Python loop and iteration statements, including the for loop and break and continue, and prepare for defining and using functions in the next module.

Learn about Python functions, including built-in and user-defined types, and how to create user-defined functions to write modular programs. Functions boost reusability, modularity, and easy debugging.

Define reusable Python code with the def keyword, a name, optional parameters, and a colon, indent the body with four spaces, then call the function to return a value.

Explore Python function basics by defining parameters, passing arguments, and returning values, with demonstrations of required arguments and a prime number example.

Use default arguments in Python functions to allow a single function to sum two to five integers. Learn that non default arguments must come before default ones to avoid errors.

Explore keyword arguments in Python functions to override default arguments, pass parameters by name, and gain clarity, illustrated with employee and student detail examples.

Define and call Python functions that accept a variable number of arguments using an asterisk, sum the provided values, and return the total.

Explore how global and local variables determine where identifiers are accessible in a Python program. See that variables defined outside functions have global scope, while those inside have local scope.

Define and use anonymous lambda functions in Python as nameless, runtime-created expressions, illustrated by squaring a value and summing two numbers, with brief notes on map and reduce.

Explore defining and using user defined functions in Python, with various argument types, including required and variable length arguments, plus anonymous lambda functions, and how to handle exceptions.

Explore the difference between syntax errors and runtime exceptions in Python, including zero division errors, and learn to handle, raise, define built-in and user-defined exceptions, and perform cleanup actions.

Identify Python's built-in exception classes and how they prevent abrupt program termination. Understand common errors, including arithmetic errors, division by zero, import errors, syntax errors, and type errors.

Explore Python exception handling with try and except blocks, multiple handlers, else clauses, and ordering rules, with zero division examples and raising exceptions.

Learn how to raise and handle exceptions in python 3, including creating user-defined exceptions and validating data to enforce business rules.

Explore defining cleanup actions with try, except, and finally blocks to guarantee resources—like files and database connectivity—are closed, even after errors, illustrated by a file-reading example.

Explore the difference between syntax errors and exceptions, and learn to use try, except, else, and finally to catch, handle, and run cleanup code, noting performance and code-size trade-offs.

Learn how Python uses classes and objects to organize data, with a class as a blueprint and an object as its instance, plus basic syntax and docstrings.

Explore how to define a Python class and instantiate an object, include a class docstring, and print object information and documentation using __name__ == '__main__' and __doc__.

Define a class with two data members and methods to set values, swap them, and display the results, then create an object, input values, and observe before and after swapping.

Learn how to define Python classes with constructors using __init__ to initialize instance members and track a class variable total employees in a practical employee demo.

Explore how to define classes with member initialization using constructors in Python, and begin working with strings as you gain a foundational introduction to classes, objects, and object oriented programming.

Explore working with strings in Python, including slicing and indexing, perform string operations with standard library functions, search within strings, and replace text in datasets.

Explore Python strings, including literals, concatenation, and converting string numbers to int or float. Learn indexing, length with len(), and iterating with while or for, with slicing preview.

This lecture explains slicing strings in Python using the slice operator with start and end indices, noting end is exclusive, and showing defaults for missing indices and full-string slices.

Use the in operator to check if a string is contained in another and drive an if statement; note that Python string containment is case sensitive.

Explore Python's string library, learn how built-in string functions return new strings without altering originals, and use methods like capitalize, lower, strip, split, find, and replace on names.

Explore how Python represents strings, slice string values, use logical operators, and apply key string library functions in practical Python programs; next module covers working with files.

Learn how to work with files in Python, including creating, reading, and copying text and image files, and open, read, write, and close with text and binary file modes.

Learn how to create and write to a new text file in Python 3, using open in write mode, write lines, close the file, and confirm creation before reading contents.

Read file contents in Python using the read method, file handlers, and modes, then print results. Use a context manager for automatic closing and consider memory impact for large files.

Learn to read file contents in Python using read, readlines, and readline, display lines, strip end-of-line characters, and use seek to reposition the cursor.

Copy contents from a source file to a target file in Python by reading data in chunks and writing to the destination using with open.

Set up our environment, then copy the image from source to target by reading in binary mode and writing in binary mode using rb and wb and chunked reads.

Learn to create, write, and read files with Python, copy content between text and image files, and prepare for lists in the next module.