Learn Python: A Complete Beginner’s Course

Create and run your first Python program in PyCharm, organizing a project with a source folder and hello world file. Discover how the print function outputs a string to console.

Explore the python print function in PyCharm, learn how it prints string literals on new lines, and that a function may return None if no value is returned.

Define strings with single or double quotes in Python, demonstrate escaping quotes, avoid smart quotes, and show triple-quoted strings to prevent syntax errors.

Learn how escape characters use a backslash to include quotes and control formatting in Python strings, including the newline escape sequence and printing on one or multiple lines.

Learn how positional arguments print in order. Use sep and end to customize output; keyword arguments can be in any order when named but must follow positional arguments.

Master Python fundamentals by exploring literals, variables and objects, data types, operators and operands, and the distinction between expressions and statements in dynamic, memory-managed code.

Explore Python's basic data types—integers, floats, strings, and booleans—along with the int type, the type function, scientific notation with e, and boolean logic for conditions.

Explore Python arithmetic operators—addition, subtraction, multiplication, division, exponentiation, floor division, and modulo—with operand types shaping results. Learn unary and shortcut operators, bitwise operations, and how negative numbers affect floor division.

Learn how to use the Python input function to collect user input, display prompts, and convert strings to numbers for tasks like calculating a square's area.

Explore how Python allows certain arithmetic operations on strings, using plus to concatenate and star to repeat, while noting that subtraction, division, and modulus are not applicable.

Learn how to use f-strings for dynamic string formatting with variables and expressions, including alignment and precision controls. Explore examples with print output, area of a circle, and uppercase transformations.

Explore Python comparison operators and how they return booleans, promote mixed numeric types to a common type, and support chained comparisons evaluated left to right.

Learn how Python uses and, or, not to evaluate boolean expressions, with short-circuit rules, precedence, and truthiness concepts like zero, empty strings, None, and nonempty values.

Explore bitwise operators on integers: and, or, xor, not; learn how binary shift operators move bits with left and right shifts for low-level programming, cryptography, and algorithm optimization.

Master Python conditional statements that control code execution based on conditions. Learn if statements, if-else, if-elif chains, nested ifs, and the ternary operator with practical examples.

Explore Python's core collection data types, including lists, tuples, dictionaries, and sets, along with common operations such as indexing, slicing, mutability, and set operations like union, intersection, and difference.

Explore Python comprehensions, a concise one-line alternative to loops for lists, dictionaries, and sets, with examples that square numbers, build name_lengths dictionary, and ensure unique values.

Learn to create and use functions in Python, including defining with def and returning values. Explore default and keyword arguments, and how mutable versus immutable objects affect arguments.

Explore how Python variables work across global and local scopes, including access inside nested functions and using nonlocal and global keywords to read or modify outer variables.

Learn to read from and write to text and csv files using Python's open function, explore read, readline, readlines, write, and append modes, and use with for safety.

Explore lambda functions, anonymous on-the-fly functions with one expression, including nested forms, and apply them with map, sorted, and filter to process lists and dictionaries.

Learn how Python modules organize code, enable reuse, and leverage standard and third-party libraries. Explore import methods, aliasing, from-import, and the if name equals main check with practical examples.

Learn how to handle errors in Python using try-except blocks, raise exceptions, and finally clauses to build robust, user-friendly programs.

Identify and fix bugs using debugging techniques: print statements, debuggers, and logging. Explore Python tools such as pdb and the logging module, and practice handling errors like zero division error.

Implement a command line personal task manager in Python that supports add, view, delete, and search, with categories and priorities, data persistence via files, and robust error handling.