
This course includes our updated coding exercises so you can practice your skills as you learn.
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Explore Python programming environments and IDEs, including IDL, PyCharm, Google Colaboratory, and Jupyter Notebook, to write, run, and share code.
install python from python.org and install the latest version to set up Python IDL. open the Python shell to experiment with commands and use tutorials for guidance.
Explore Python's seven math operators—addition, subtraction, multiplication, division, exponentiation, integer division, and modulo—through clear examples like 10 + 2 = 12 and 10 // 3 = 3.
Use Python as a calculator by performing addition, subtraction, multiplication, division, exponentiation, floor division, and remainder with integers and decimals, and understand right-to-left exponentiation and parentheses in expressions.
Master using the IDLE editor and shell to write and save Python code as .py files, then run it and print results with the built-in print function.
Learn how variables act as containers storing values and how the assignment operator links a name to a value. Understand case sensitivity, initialization, and descriptive names for readability.
Learn how to write readable Python code using comments to explain logic, using hash-based single-line and triple-quoted multi-line comments, and to temporarily disable code for debugging.
Explore Python data types—integers, floats, strings, and booleans—and learn to determine and convert them using type, int, float, string, and bool functions. See how variables can change type at runtime.
Explore how the input function collects user data as strings and converts it to numbers with int() or float() for arithmetic, prompts in input(), and printing results.
Learn to use the print function in Python to display items, combine strings and variables, and manage spaces with comma or plus, while collecting name and age with input.
Learn the six Python comparison operators: ==, !=, <, >, <=, and >=. See how each evaluates examples like 2 == 2, 2 != 5, and 5 < 6.
In recent years, Python has become increasingly popular. That's not surprising, considering it is very convenient for data analysis and neural network building.
Do you want to become part of this industry? But not sure where to start?
Then this course is perfect for you.
It will give you a solid understanding of basic Python concepts. Just check the curriculum to be sure.
This is the foundation on which you will build your future knowledge, whether you want to go into web development, machine learning, computer graphics, or something else.
The curriculum is carefully designed for total beginners.
The Python concepts are explained clearly and concisely, as well as some mathematical ones if you need a refresher or are learning them for the first time.
This minimizes the need to search for external sources of information, saving you time.
But learning isn't just about theory – practice is crucial. That’s why the course includes a lot of coding exercises.
Hands-on practice will help you to acquire programming skills more efficiently and quickly.
Remember, the more exercises, the better.
P.S.
Although I have teaching experience, this is my first online course.
So the audio and video may not be perfect, especially in the earlier lectures.
But I’ve focused on making the material easy to understand.
However, I am open to constructive criticism and any useful tips you may have regarding video and audio recording and editing.
Anyway,
Master Python and kickstart your IT career!