Python - Complete Python, Django, Data Science and ML Guide

Install PyCharm community edition, create a new Python project with a virtualenv, set the correct Python interpreter (3.11), and run a simple print to launch your first Python application.

Master Python's object-oriented core: every entity is an object instance of a class, with attributes and methods, and inheritance, plus built-in classes like str and int.

Explore Python's main data types, including strings, integers, booleans, lists, and dictionaries, and learn how mutability shapes their behavior in Python programs.

Explore Python's main data types—strings, integers, booleans, lists, and dictionaries—through practical print examples and consistent use of single or double quotes.

Explore Python built-in functions such as print and input, define and call functions with parameters, return values, and dot notation for attributes.

Learn to define and call functions in Python using def, names, parameters, and arguments, print results, and understand function scope and local variables.

Learn how to return values from Python functions using the return statement, including multiplying numbers, handling parameters and arguments, assigning results, and understanding none and function scope.

Explore how the dir() function lists built-in names in the current scope, using the builtins module to view functions like print and classes such as arithmetic error.

Learn how the built-in input function prompts for user input, always returns a string, and can be assigned to variables for printing and using string methods like upper.

Master Python indentation to define function, if, and loop blocks; follow four spaces (or tabs) for consistency, avoid indentation errors after colons.

master python indentation using four-space blocks with PyCharm auto-indent, define a print num function, call it with 5, and follow pep eight rules on blank lines.

Explore how PEP 8 guides Python code styling, including indentation with spaces, a 79-character line limit, imports on separate lines, and two empty lines before and after functions and classes.

Explore how Python statements perform actions, from variable creation to conditional if blocks. Include imports at the top and loops, and distinguish statements from expressions.

Explore Python expressions in practice by dividing numbers, assigning results to variables, and printing values; learn how input converts to strings, wrap with int(), and distinguish expressions from statements.

Distinguish expressions from statements in Python, with examples of assignment, if statements, function declarations, return statements, prints, and imports that perform actions.

Explore how variables in Python act as references to memory objects, with snake_case naming, class naming in PascalCase, constants in uppercase, and dynamic typing through assignment, and dash-separated package names.

Define variables in Python using snake_case, show dynamic typing, and reassign values. Create a print_city function and highlight meaningful names, show constants with uppercase snake notation like my_password and my_username.

Explore how Python treats all values as objects and distinguishes mutable from immutable types. Include examples like strings, booleans, integers, floats, tuples, none, lists, dictionaries, sets, and user defined classes.

Explore how Python stores values as objects in memory, with variables as pointers. Learn how the id function reveals object addresses and why copying a variable copies a pointer.

Explore built-in data types such as str, int, bool, list, and dict, learn how to create instances, check types with type and isinstance, and verify object classes in Python.

Learn to use the built-in isinstance function to check if objects are instances of a class, compare with type checks, and show that all objects derive from the object class.