
Explore what programming is and why learning to code matters, from writing precise, detailed instructions to boost problem solving, logical thinking, and career opportunities in the job market.
Discover why Python appeals to beginners with its easy-to-read syntax, dynamic typing, open source, and interpreted nature, plus vast libraries enabling rapid prototyping, automation, data science, and IoT projects.
Set up a python and machine learning environment with Anaconda and Jupyter Notebook. Learn to install Anaconda, launch Navigator, and run code in Jupyter Notebook cells.
Learn how variables store values and act as containers for numbers, strings, and lists. Use descriptive lowercase names with underscores and spaces around the equal sign; Python infers types.
Explore Python data types, including numeric types (integer, float, complex), boolean, sequences (lists, tuples, sets), strings, and dictionaries; learn mutability, type conversion, and basic operations.
Explore Python operators with practical examples, covering arithmetic, comparison, logical, assignment, identity, and membership operators. See how each type performs operations in a Jupyter notebook using concrete values.
Learn how to write clean Python conditional statements, including if, else, elif, and nested forms, with proper colon syntax and indentation, using practical grade and number examples.
Explore loops in Python, including for and while loops with range and nested loops, and apply them to calculating student averages and summing even numbers through practical exercises.
Explore nested loops in python by pairing two lists with a nested for loop to print products, then implement a nested while loop to generate a multiplication table.
Explore Python functions, including predefined ones like len and range, and user defined functions with def. Learn about arguments, doc strings, return values, and calling functions with examples like greet.
Learn to use flexible arguments with star args and keyword arguments, understand how global and local scopes affect variables, and grasp function return basics, including multiple values.
Explore Python models by importing built-in and ready models, and create your own .py models, then visualize data with matplotlib in a Jupyter notebook.
Learn to open, read, write, and append to files in Python using r, a, and w modes, and distinguish between writing and appending; use the with statement to auto-close files.
Explore Python input and output, detailing how to read user input, cast to int or float, and format output with format strings and f-strings, plus error handling with try/except.
Learn to generate Python practice exercises with ChatGPT, focusing on loops, functions, and data types. Build real-world problems with step-by-step prompts, and practice solving without copy-pasting, using ChatGPT to debug.
Learn to debug code with ChatGPT by pasting your code and receiving corrected versions with bug explanations, including initializing the maximum to the first number and adding missing colons.
Generate customized Python quizzes with ChatGPT to practice loops, data types, and debugging; verify answers critically, and use Jupyter Notebook to test and learn from mistakes.
Create a personalized Python learning roadmap with ChatGPT, aligned to your goal, featuring month-by-month milestones, two hours per day, resources and YouTube links, and a progress-tracking table.
Build a Python guess the number game using the random module to pick 1–100, then loop for user guesses with too high or too low hints and track attempts.
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Python is a beginner-friendly programming language that has quickly become one of the most popular languages in the world. In fact, coding in Python nowadays is like learning to read and write in the beginning of the 20th century.
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We'll explore :
variables
data types
functions
conditional statements
loops and more
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