
Join a free AI community to connect with others, access updated courses, and explore classroom materials after creating an account.
Explore why Python is a popular programming language and its applications in web development, data science, machine learning, and artificial intelligence.
Trace the history of Python from its 1991 release, through Python 1.x and 2.x with features like lambdas, map, filter, reduce, and list comprehensions, to Python 3.
Learn about variables, input and output, mathematical and comparison operations, logic, functions, loops, classes, and complex data types such as lists, dictionaries, and tuples.
Download the stable Python 3.17.5 from Python.org, install it, and add python.exe to your path on Windows; Mac users may have Python pre-installed.
Explore where to write Python code, with Google Colab recommended for fast, easy coding, and compare editors like Visual Studio Code and PyCharm, plus the code vs text cell idea.
Install Anaconda as the go-to tool for python development, enabling multiple libraries and version switching, and add it to your path as default python for Visual Studio Code or PyCharm.
Join the free school community to connect with others and access courses at no cost. Create an account, request access, and explore updated courses in the classroom tab.
Learn how variables store information in Python, including integers, floats, strings, booleans, and non type, and how to initialize them with the equals sign.
Learn how the print function outputs values to the user in Google Colab, including printing strings within quotes and running code with Shift+Enter.
Explore Python arithmetic operations, including addition, subtraction, division, multiplication, power, modulo, and floor division, and learn the Pemdas order of operations in Google Collaboratory.
Explore comparison operators that compare values and return boolean values—true or false. Learn about equality with double equals, assignment equals, and not equal operators, plus other related operations.
Explore logical operations using and, or, and not with booleans A and B, showing how true and false combine and how not inverts values.
Explore if, elif, and else in Python by evaluating conditions like A > 22 and A == 21, using proper indentation, the print function, and nested blocks.
Learn to check a variable’s type with type, assign booleans and integers, and perform arithmetic using variables instead of numbers, illustrating that a variable stores information in Python.
Explore string operations in Python, including concatenation, multiplication, indexing, and slicing, with zero-based indexing shown in hello and world examples.
Explore Python loops, including for and while constructs, using range and print to iterate numbers and strings; learn loop control with break and the plus-equals shorthand to prevent infinite loops.
Learn how to document Python code with comments, including one-line comments and multi-line comments using triple notation, to describe code and improve readability.
Explore Python data structures by examining tuples, lists, dictionaries, and sets, highlighting immutability, in-place operations, key access, default values, and the uniqueness of set elements.
Learn how to handle input and output in Python by converting integers to strings with str, printing with f-strings that embed variables, and using input to capture user data.
Define functions with def, pass arguments, and return results to compute additions. Understand local scope and that variables inside a function are not accessible outside.
Define a simple Python calculator class with init and self, create an object, access and update current via dot notation, and implement get and set methods such as add.
Explore how classes and functions enable code reusability in Python, with a preview of advanced topics like lambda, file I/O, and machine learning and data science.
Positive Aspects:
Accessible for Beginners: Designed for those with no prior coding experience, this course offers a gentle introduction to Python, making it an ideal starting point.
Practical Exercises: Hands-on coding exercises and projects reinforce your learning, helping you apply Python concepts effectively.
Expert Guidance: Learn from experienced instructors who provide clear explanations and practical insights, ensuring you grasp Python's fundamentals.
Cost-Free: This course is entirely free, making it an accessible and budget-friendly way to start your programming journey.
Reasons to Get It:
Learn a Versatile Language: Python is a versatile and widely used programming language, making it an excellent choice for beginners.
Start Coding Quickly: Get up to speed with Python's syntax and basic concepts, enabling you to write your own programs and scripts.
Explore Career Opportunities: Programming skills, particularly in Python, are in high demand across various industries, making this course a valuable asset for your career.
Budget-Friendly: Enjoy a cost-effective way to kickstart your programming journey without the financial commitment of a paid course.
In conclusion, "Introduction to Python Programming" is a fantastic resource for beginners. It offers accessibility, practical experience, and a cost-effective introduction to Python. While it may not cover advanced topics or provide certifications, it's an excellent starting point for anyone looking to enter the world of coding.