Learn Python Programming Fast | With Coding Exercises

Install Python on Windows by downloading the official installer from python.org, adding python.exe to path, and verifying with python --version. Run code from the command prompt or a code editor.

Learn how to install Python on Mac using Homebrew as the recommended method, including verifying installation with python3 --version and the option to install manually via python.org.

Install VS Code using the official code.visualstudio.com download page for Mac OS or Windows, run the installer, and open VS Code to start running Python commands.

Create a python project in VS Code, write learn python.py, and run it in the terminal or VS Code to print hello world, with single line and multi-line comments.

Master variables in Python by creating descriptive names, overriding values, and printing data. Follow naming rules, case sensitivity, and avoid reserved keywords like class, def, true, and false.

Explore Python data types, including strings, integers, floats, booleans, lists, tuples, dictionaries, and sets, learn mutability differences, and use type() to inspect variables.

Master basic arithmetic operations in Python, including addition, subtraction, multiplication, division, and modulo, through practical variable examples and print statements.

Master Python's six comparison operators—equal, not equal, greater than, less than, greater than or equal to, and less than or equal to—and see how they return true or false when comparing numbers and strings.

Explore how logical operators in Python, namely and, or, and not, combine conditions, control truth values, and affect print statements with true and false outcomes.

Implement a practice Python program that uses comparison and logical operators to determine loan eligibility based on age and income, and check free park entry for different ages.

Learn how to use the plus operator to concatenate strings, join lists and tuples, build full names with spaces, and handle type errors in Python.

Learn how Python's input function displays a prompt, waits for user input, and returns it as a string, with examples of concatenation and type conversion to int.

Explore type conversion in Python, including string to int and float, age from birth year, price after tax, tuple to list, and booleans to integers for formatting.

Explore Python string methods to manipulate text with lower, upper, and strip. Learn replace, split, join, find, count, and starts with or ends with for robust processing.

Learn Python string formatting by inserting dynamic values with three methods: old style %s and %d, the format method, and f-strings, using name and age examples with placeholders and braces.

Learn how to use Python lists as a mutable collection, covering creation, appending, extending, inserting, deleting (remove, pop, del), indexing, slicing, and length checks.

Learn Python dictionaries, an unordered key-value store, covering creation, access, updates, additions, get with defaults, removal with pop or del, and iteration with items.

Learn Python tuples: grasp immutability, creation with parentheses, and access via indexing and slicing, plus operations like concatenation, repetition, membership tests, and min, max, sum.

Master Python sets as an unordered collection of unique elements. Create sets with curly braces, add or remove items, and perform union, intersection, and difference operations.

Learn how Python uses if, elif, and else to make decisions, with examples like age-based outcomes, positive, negative, or zero numbers, and nested conditions for grades.

Explore how Python loops work, focusing on for loops and range to repeat code, and practice iterating over lists, dictionaries, tuples, and strings with practical examples.

Learn how a while loop executes code while a condition is true, using the while keyword, with a counting example that prints 1 to 5 and increments until five.

Learn how to implement nested for loops in Python by using an outer and inner loop, iterating with range, and printing results like a multiplication table.

Learn how to control Python loops with break, continue, and pass, using for loops and range to stop, skip, or placeholder code in practical examples.

Learn how to define and call functions in Python using def, creating reusable code blocks, and understand debugging, method versus function, and how to run them.

Learn how to make functions dynamic using parameters, arguments, and return values, illustrated by a two-number add function and a name-based greet with an optional default value.

Learn to use Python's built-in functions, such as print, len, type, input, max, min, sum, and round, and distinguish them from user-defined functions like greet and add.

Master lambda functions in Python, anonymous one-line functions for quick tasks. Learn the syntax, how to call them, and examples like doubling numbers, adding numbers, and checking even numbers.

Learn how the map function applies a function to every item in an iterable, returning an iterator; use lambdas to transform lists, such as doubling numbers or uppercasing fruits.

Master Python file handling by opening, reading, and writing files, including text, csv, and binary files. Use modes r, w, and a, and always close files to prevent memory leaks.

Explore file handling modes in Python, including read, write, and append modes, and learn exclusive creation with x mode and basic error handling using try and except.

Explains binary mode (rb) for reading image files and contrasts with text mode, explores read/write (r+), write (w+), append (a+), and seek to control file pointers.

Learn how the with statement, a context manager, manages file resources by automatically closing files after use, preventing memory leaks and corruption, with practical read and write examples.

Learn to work with csv files in python by reading, writing, and appending data using the csv module, including with open, read lines, and csv.reader.

Learn to read csv files as dictionaries with csv dict reader and to write dictionaries using dict writer, including headers and field names.

Master common Python errors, including syntax, name, type, value, index, key, attribute, file not found, indentation, and import error or module not found error, with practical examples.

Learn how Python uses try/except blocks for error handling, turning errors into a net so programs keep running. Cover zero division error and value errors, except blocks, and else block.