Practical Python: Learn Python Basics Step by Step- Python 3

Write your first Python code and master core concepts by exploring syntax, numbers, variables and their types, lists, and storing values while building short programs that interact with users.

Learn to start the Python shell, run one instruction at a time, and see immediate results, from hello world to measuring string length with the len function.

Explore how Python evaluates numbers and performs arithmetic with integers and floats, including addition, subtraction, multiplication, and division, and learn to control order with parentheses.

Learn how Python variables store and reuse values by naming them, assigning with equals, and using underscores for multiword names like temperature or user_age.

Learn about Python data types: integers, floats, booleans, and strings, using type(), variable assignment, and string concatenation, with emphasis on consistent typing and meaningful names.

Learn to use Python lists to store related data, access elements by zero-based index, check length with len(), modify items, and append new elements while keeping a single data type.

Learn how to prompt users for input using the input() function, store responses in variables, and understand that input results are strings even when numbers are entered, with examples.

Cast values between types in python using int(), float(), str(), and bool(), with string examples, showing truncation when converting floats and how true maps to 1 and false to 0.

Practice variables with three small exercises using Python input, casting to integers, and list operations to compute a sum and an average, preparing you for basics.

Practice python basics by solving exercises: input a name and age and print a message, add two integers, and compute average of a four float list using sum and len.

Learn to move from shell-based Python snippets to reusable text editor programs using variables to store data. Install the right tools, master functions, and run your own Python projects.

Install the PyCharm python IDE and create a project with a hello world program. Explore the integrated development environment with the free community edition on Windows, Linux, or Mac OS.

Write your Python program in a text editor with PyCharm, creating main.py and running it. Use print and input, handle variables, and save files while testing in the Python console.

Learn how to use comments to make Python code easy to read and understand by annotating lines with a #, explaining parts, and testing code without executing test statements.

Define a function with def, name, parentheses, and a colon to create a reusable block of code. Call the function to execute it, observing indentation for its body.

Learn how to add parameters to a Python function, pass username and age, reuse parameters to create dynamic output, and handle type casting correctly and avoid common errors.

Learn how to create functions with parameters and return values using the return statement, including returning integers, floats, booleans, strings, or lists, and how to call one function from another.

Understand variable scope in Python by distinguishing global and local variables and how functions create local scopes. Learn how parameters become local variables and avoid scope errors.

Practice four Python function exercises in PyCharm, creating files for exercises, naming functions clearly, and using main and test scripts to add numbers, average numbers, and Celsius to Fahrenheit conversion.

Walks through level 2 Python exercises, including asking for user input, adding two integers, computing a list average, and converting Celsius to Fahrenheit with functions and prints.

Master reusable Python programs using blocks of code and variables to store values. Explore conditions and loops to create dynamic execution paths, compute averages, and tailor messages by user age.

Explore the boolean data type, equality and inequality tests, and membership checks in Python, using the six comparison operators and the in keyword on numbers, strings, and lists.

Learn to combine conditional statements with or and to evaluate booleans, using examples and testing ranges like temperature between 20 and 30.

Master Python conditional logic with if statements, learn how indentation defines blocks, and how code runs only when conditions are true, using age checks and the and operator.

Enhance python conditional logic using if, else, and elif. Test conditions and membership with month in june, july, august, and decide summer, autumn, winter, or spring time based on value.

Master Python loops by using for loops with range to repeat actions, index with i, and rely on indentation to print hello from 0 to 9 or 100 times.

Understand how while loops execute while a condition holds, using a counter and i += 1 to print hello 0–9, and decide between for and while on counts or conditions.

Learn to iterate over Python lists with for loops, printing each element and applying conditional logic to identify negative and positive numbers, and nest loops as needed.

Practice python conditions and loops with exercises to compute the max in a list, create and use an empty list, and read numbers until 0 to average.

Solves practical Python exercises by implementing functions to find a max value in a list, and to compute averages from user input using for and while loops.

Expand your Python skills by reading and writing files, using built-in modules, and running programs from the terminal to interact with your computer environment.

Read text from a file in Python using with and open, print contents, and iterate lines to strip newlines; understand relative and absolute paths and double backslashes on Windows.

Learn how to write to files in Python using with open and modes r, w, a, w+, a+; create, overwrite, or append text with f.write and new lines.

Learn how to import and use a Python module, especially the os module, to create and remove files, check existence with os.path.exists, and use os.remove.

Learn how to create a Python module by moving a function into a separate file, import it, and reuse it across programs with clear naming.

Learn to run python programs from the terminal by navigating with cd, ls, and dir, and executing add_two_ints.py with python3 on Windows, Linux, and Mac OS.

Tackle level 4 exercises: compute max from a file using the my computations module, casting strings to numbers, and sort cities read from a file alphabetically before writing them out.

Read numbers from a file, cast to float, and compute their average with the compute list average function; then sort a city list and write to a file.

Introduce object oriented programming with Python, explaining its ubiquity and how to write basic classes. Grasp how it works and use OOP concepts in your Python programs.

Explore how object oriented programming shapes Python by using classes, attributes, and methods, illustrated with a robot example and the idea that every data type is a class.

Define a Python class using the class keyword, apply proper naming conventions, and implement a constructor to initialize attributes such as name, version number, and internal temperature using self.

Learn how to add and use class methods in Python, leveraging self to access attributes like name, version, and temperature, call methods from other methods, and update attributes.

Create objects from a class by using the constructor to initialize attributes, then call methods like say hi and print info on independent robot instances such as R2D2 and C3PO.

Organize your oop files by placing the class in a separate module file and importing it, making the application easier to read, easier to modify, and more scalable.

Create a robotic arm class that inherits from the robot class, reusing its attributes and methods while adding reach and pick object and place object actions using super.

Learn Python composition by building a packaging solution class that uses two robotic arm instances, coordinating pick and place tasks to illustrate object composition and basic OOP.

Adopt best practices for writing Python code by following naming conventions, using meaningful names, maintaining proper indentation, avoiding repetition, keeping code simple, and leveraging Google searches to solve problems.

Choose an application domain such as web development, video games, robotics, artificial intelligence, or data science, and continue learning Python with domain-specific projects; practice drives progress beyond the basics.