Free Python Course for Beginners

What Python is used for, installing it on Windows, macOS and Linux, VS Code, print() and how to read error messages.

int, float, str and bool, type conversion, and arithmetic, comparison and logical operators.

Indexing, slicing, string methods, f-strings with number formatting and how to ask the user for data.

Making decisions, compound conditions, truthy and falsy values, the ternary expression and match.

Looping over collections, range(), accumulators, while, break, continue and list comprehensions.

Python's four built-in data structures, their methods and when to use each one.

Defining functions, default arguments, return, scope, docstrings, import and organizing your code.

try/except, text, CSV and JSON files, and a complete expense tracker.

Classes, objects, __init__ and self, __str__, encapsulation, inheritance and dataclasses.

Splitting a project into files, installing libraries, venv, requirements.txt and tests with pytest.

DataFrames, filters, calculated columns, cleaning, groupby, pivot tables, merge, Excel export and charts.

Calling APIs with requests, keeping keys safe, automating files, generating Excel reports and scheduling scripts.

Create a database, query it with SELECT, GROUP BY and JOIN, use parameters to block SQL injection and load results into pandas.

Line, bar and stacked bar charts, plotting from pandas, dashboards with subplots and rules for honest charts.

Extract data from web pages legally and responsibly: CSS selectors, pagination, delays, CSV export and JavaScript pages.

Regression to predict sales, training and test data, MAE, R², a baseline, interpreting the model and overfitting.