Learn to Code in 1 Hour with Python: Coding Basics Hands-On

Learn to declare variables and core Python data types, including strings, integers, floats, and booleans. Practice dynamic typing, the print function, and basic operations as shown in the PyCharm console.

Take a brief intermission to rate the course, write honest feedback, and save your responses to help improve the python coding basics hands-on course before the next lecture.

Explore Python arithmetic operators—plus, minus, asterisk, division, integer division, modulus, and exponentiation—and apply operator precedence in a loan amortization example to compute monthly payments.

Install and import Python modules, including built-ins and third-party libraries, using import, aliasing, and from syntax, install pip to manage packages, and create your own modules and packages with __init__.py.

Explore f strings in Python to format variables, compute expressions, apply methods, format numbers with two decimals and thousands separators, and include math expressions in strings.

Master conditional statements in Python by using if, elif, and else to decide actions based on comparisons and logical operators, with proper indentation and input handling.

Learn to use Python comments to improve readability, including hash-based single-line comments, docstrings for documentation, inline and multi-line styles, and pep8 spacing rules.

Explore Python data structures, including lists with zero-based indexing, append and remove, dictionaries with key value pairs, and sets for unique items, union, and intersection.

Explore slicing in Python to extract portions of strings and lists using start and end indices (end is exclusive) and the len function, with optional steps and negative indexes.

Learn how to use loops in Python, including for and while loops, the range function, and break and continue to control iteration and avoid infinite loops.

Explore functions and classes in Python, covering def, parameters, keyword arguments, *args and **kwargs, snake_case naming, and class basics with __init__, self, methods, and object creation.

Explore a practical case study in Python that processes a synthetic movies and ratings dataset, using classes, dictionaries, and CSV reading to compute averages and filter by genre.

Celebrate completing a fast-paced, hands-on journey through Python basics, from environment setup to variables, loops, conditionals, and basic data structures, building confidence through practice.