
Begin your python journey with hands-on learning, mastering fundamentals through projects and milestone challenges, exploring machine learning, web development, automation, and game development for beginners.
Practice python daily with small problems, write notes by hand, and use the interactive python shell. Take breaks and sleep to boost memory, and ask clear, well-documented questions with code.
Download and install Python 3.9 from python.org on Windows, Mac OS X, or Ubuntu. Add Python 3.9 to path and configure install options to start coding in Python.
Launch the IDLE environment to use the Python shell for testing commands, learn the >>> prompt, and switch to the file editor to write and run .py scripts.
practice with interactive coding exercises in idle, learn to write a print statement, spot syntax errors from missing quotes or parentheses, and run and exit the console.
Explore Python development in IDLE, using the built-in editor and shell for writing, saving, and running code with syntax highlighting and tab completion.
Create and run Python projects instantly using the replay online code editor, explore the browser-based IDE, and learn to read syntax highlighting and fix common errors.
Create your first Python program by writing a simple hello world script, save it as a .py file, and run it to see the result in the interactive shell.
Learn how to find help when you’re stuck, using Google searches for traceback and error messages, Stack Overflow, the official Python documentation, and Python Tutor to visualize code execution.
Master Python variables by using the assignment operator to store values, support chained assignments, and redeclare variables; name them descriptively with camel, pascal, or snake case while avoiding keywords.
Master Python arithmetic operators—addition, subtraction, multiplication, division, floor division, modulus, exponentiation, and unary plus/minus—through hands-on examples. Learn operator precedence, assignment, parentheses, and comparison operators used in booleans and conditionals.
Learn how the remainder (modulus) operator in Python converts seconds into hours, minutes, and seconds using integer division and print statements.
Learn to use and, or, and not in Python to build complex boolean expressions and chained comparisons, with practical examples and syntax guidance.
Learn how to obtain user input and display results in Python with the input function, prompts, and optional type conversion to int, float, or complex.
Learn how Python's input reads user input as a string and how int() converts it to a number for calculations and comparisons, including raw_input difference between Python 2 and 3.
learn how to work with integers in Python, including creating integers in base ten, binary, octal, and hexadecimal, performing arithmetic, and converting between bases using int, bin, oct, and hex.
Explore floating point numbers in Python, see how decimals differ from integers, observe division yields floats, and learn scientific notation, float conversion, and complex numbers.
Learn to add comments in python with single line hash comments and multi-line triple-quoted blocks. See why comments describe your thought process, aid debugging, and support code maintenance and reuse.
Learn how the input function returns a string and how to convert it to int or float for calculations, with examples for hours and income, plus handling conversion errors.
Write a Python program to calculate a 20% discount by moving the decimal point, prompt for the original price, compute the discount, subtract it, and display the sale price.
Calculate the average by summing three scores and dividing by three, using parentheses to ensure correct order, and practice Python code that prompts for scores and displays the result.
Convert a math formula to a Python program that computes present value from future value, rate, and years.
Learn how to create and use strings in Python with single or double quotes, escape characters, raw strings, and multi-line strings, and preview string formatting with the percentage operator.
Explore string operators like concatenation and repetition, use built-in functions such as upper, lower, len, ord, chr, and str, and learn percent formatting and the format method.
Explore Python string formatting from old percent formatting through str.format to modern f-strings. Learn readability, conciseness, speed, and practical examples with variables, multi-line messages, and expressions.
Learn Python string formatting methods—percent-style placeholders, curly-brace format, and f-strings—and embed them in print statements with variables, while noting memory and performance considerations.
Explore string indexing in Python with zero-based indices and negative indexing, using square brackets and the len function. Practice slicing to retrieve ranges and understand index errors.
Discover Python string slicing: extract substrings using start and end indices, colon syntax, and steps, including negative indices, with practical examples.
Explore how user input becomes strings in Python, distinguish numbers from strings, and learn to convert with int, float, and the floor function while handling value errors.
Explore Python typecasting by using int, float, and str to convert between data types, with examples converting 8.1234 to 8 and 5 to 5.0.
Learn to use date, time, and datetime classes in Python. Create current values with today and now, then format them with time zone awareness.
Build a basic receipt printing program using variables, operators, and string manipulation, guided by a design flowchart to print borders, headers, items, and a currency total.
Explore how lists organize items in Python, covering indexing, slicing, negative indices, and methods like append and delete to manage ordered collections.
Learn to work with lists in Python by combining lists with extend, inserting and removing items, printing results, and sorting lists with the sort function.
Learn to create numerical lists in python with the range function, convert them to a list, and understand start, end, and step; note that the end value is not included.
Learn basic ways to print lists in Python, using the splat (positional expansion) operator to unpack items, and control output with sep, rjust, and formatting.
Compare tuples to lists in python, noting immutability and faster execution for large data. Learn indexing, slicing, and how to create singleton and empty tuples.
Learn Python tuple assignment through packing and unpacking, including matching left-hand variables, accessing elements by index, and swapping values with a single tuple assignment.
Learn to access and organize data with dictionaries in python, using unique key-value pairs, curly braces, and nesting with lists or other dictionaries, and add update delete entries by key.
Explore sets in Python: a data structure of distinct, unordered elements with no duplicates; learn about mutability, hashability, and fast membership with intersection.
Learn to write conditional tests with if statements in Python, from simple to complex, emphasizing indentation, input handling, and using the inline if form for simple tasks.
Discover how Python uses relational and equality operators to drive if statements, test values, and build nested menu selections with indentation and clear error handling.
Learn how to use Python for loops to execute code repeatedly over lists, strings, and tuples with range and enumerate. Understand looping basics and how to display item indices.
Explore how a for loop iterates over a string, updating a counter for each character. Use break, continue, and pass to control processing based on conditions.
Learn how while loops run code while a condition is true, illustrated by a program that prints numbers 0 to 3 and shows how user input can terminate with quit.
Learn break and continue in Python loops, exit and restart loop iterations in while and for statements, and understand nested control statements and the role of pass.
Create a Python guessing game where the computer picks a random number and the player guesses via input, converting strings to numbers and looping until correct.
Learn how to use if statements with lists in Python through a shopping list example, printing messages for available or unavailable items based on user input.
Learn how to use for loops with lists in Python by iterating over a hospital's doctor list and printing each doctor's specialty.
Master while loops with lists and dictionaries by building a password check program that repeats until the correct password is entered.
Explore how stacks use lifo order with Python lists through push and pop operations. See how a stack is built, test full and empty conditions, and visualize the top-of-stack behavior.
practice searching a Python list of Apple products through user input, and then sort and display both unsorted and sorted results, including reversing the order.
Loop through a dictionary in Python using a for loop and items to access each key value pair, then print usernames and passwords with a blank line between pairs.
Explore how counter objects from collections count occurrences in a list with repetitive elements. Create a list counter, view elements with counts using items, and retrieve counts with get.
Start coding in Python immediately for beginners Step by Step 0 to hero!
If you are a beginner in Programming, then this course will help you learn Python Programming step by step fast with projects.
Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied for work.
Python: Step by Step with projects 0 to Hero for Beginners
My goal was to create a Course for people of any age who have never programmed in Python before or have never programmed at all, so you can build programs that work.
The course is full of examples and projects that are carefully chosen to demonstrate each concept so that you can gain a deeper understanding of the language. It is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2. X, Python 3. X, or both
Python Programming for Beginners is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming.
Are you looking to learn practical Python Programming you can put to use instantly? If so, then this is the course for you. It’s entirely project-based and it’s full of examples that are fully explained and easy to understand.
Python is a great language to learn, so enroll in the course, and let’s get started!
By the end of this course,
You'll be able to create a game where the computer chooses a number and the player guesses the number.
In the guessing game, Python thinks of a random number. The player guesses the number.
I've attached the final version of the Guessing Game as a .py python file.
I've attached also all the Project files of the class in a .zip file