Master Python Programming: Zero to Expert in Python

Explore how to install Python and run code across environments, from online IDEs like Google Colab to the Python interpreter, Idle, PyCharm, VSCode, and Jupyter Notebook.

Explore running Python code in Google Colab, a free, no-setup cloud IDE. Create notebooks with code and markdown, run NumPy and Plotly charts, and share work via Google Drive.

Install Python on Windows by downloading from python.org, adding Python to the path, and verifying via the command prompt; update to access the latest features and security patches.

Install PyCharm community edition on Windows, learn essential IDE features for Python projects, and adopt best practices like updates, shortcuts, and git integration.

Master PyCharm to create Python projects, set up virtual environments, and write .py scripts; run scripts or select lines with execute selection in the Python console, and customize key shortcuts.

Define and use Python variables, storing values in RAM, with examples like miles to kilometers, using the print function, and handling types such as integers, floats, strings, and lists.

Follow pep eight to name Python variables, applying snake case for readability, recognizing that names can contain letters, digits and underscore, and that camel case is not recommended.

Discover how Python uses the hash for comments to clarify code and improve readability, including inline comments. Distinguish comments from docstrings and learn to toggle blocks with editor shortcuts.

Explore defining constants in Python by using uppercase names with an equals sign and a value. Observe that Python treats constants as ordinary variables and they can be changed.

Compare statically typed languages with dynamically typed Python, and learn how variable types, the type function, and memory addresses (id) affect runtime behavior and development speed.

Explore Python's built-in data types: numbers, booleans, None, strings, lists, tuples, sets, frozensets, and dictionaries; note mutability: lists and sets are mutable, tuples and frozensets are immutable.

Explore integers and floats in Python, and master arithmetic operators, order of operations, and readability tricks like underscores for large numbers.

Learn python assignment operators, such as equals, plus equals, minus equals, star equals, slash equals, and double star equals, plus essential built-in functions like divmod, pow, sum, max, and round.

Explore Python's comparison operators, including ==, !=, >, >=, <, and <=, and see how they yield true or false when comparing numbers and strings like ABC.

Explain how identity operators 'is' and 'is not' compare memory addresses, not values, and contrast mutable versus immutable types with integers and lists, including copying behavior.

Discover how Python floating point numbers use binary representation, why 0.1 and 0.3 are approximated, and how the format function and careful coding avoid equality issues.

Learn how floating point arithmetic introduces approximations, and use the is close function from the math module with absolute and relative tolerance to compare floats accurately.

Explore how GitHub Copilot boosts Python development with AI pair programming, install and use it in PyCharm, and accelerate productivity while learning coding fundamentals.

Harness GitHub Copilot, an ai powered partner that translates natural language to code in real time, speeding boilerplate work and refactoring for experienced coders.

Set up GitHub Copilot in PyCharm by installing the plugin from the Marketplace, logging in with GitHub, and using the Copilot status icon to enable suggestions as you code.

Learn to work with strings in Python, including concatenation, slicing, quotes and escape sequences, processing user input, using print, understanding the type str, UTF-8 encoding, multi-line and doc strings.

Get user input with Python's input function and understand how prompts work. Convert the returned string to int or float for calculations like price times quantity to avoid type errors.

Convert data types in python using int, float, and str; learn to read input as strings, convert for numeric operations, and build a miles-to-kilometers converter as a practical example.

Create a Python body mass index calculator that prompts weight in kilograms and height in meters, converts inputs to float, and computes weight divided by height squared.

Explore how Python strings are indexed from zero, including negative indices, and learn that strings are immutable and len reveals string length to prevent errors.

Master string concatenation with plus and repetition with the star operator, while handling literals and variables and converting non-strings with str() to avoid type errors.

Master Python string slicing by learning how to index, slice with start and stop, include/exclude rules, default values, negative indices, and stepping to extract substrings and reverse strings.

Master f-strings and formatted string literals to replace painful string concatenation with readable, runtime expressions, including formatting numbers and Celsius to Fahrenheit conversions.

Master Python debugging with f-strings and the equals specifier, showing variable names and values inline to inspect expressions quickly.

Explore string methods in Python, learn how methods differ from functions, view and call methods with dot notation, and understand immutability and how methods return new strings.

Explore the most useful Python string methods such as upper, lower, strip, replace, count, split, join, and find, and learn how immutability and in/not in checks govern string operations.

Explore the Python 3.9 string methods remove prefix and remove suffix for cleaning urls and file names by trimming known prefixes or suffixes.

Learn how to use indentation and code blocks to implement conditional statements: if, elif, else, boolean logic, truthy values, and logical operators, with a Python airline booking scenario.

Explore how indentation defines Python blocks using four spaces, why spaces are preferred over tabs per PEP eight and research, and how colons start indented blocks.

Learn how nested if/elif/else statements manage multiple test conditions, handle yes/no user input with case-insensitive checks using lower, and structure flows with inner if blocks and else clauses.

Explore boolean variables and boolean expressions in Python, learning how true and false behave as integers, how truthiness drives if statements, and how booleans interact with integers, strings, and containers.

Learn how boolean expressions use and and or in Python to test multiple conditions, returning true when all or at least one sub-condition is true, with age and name examples.

Explore Python boolean operators, focusing on not, and, or. Learn about negation, parentheses to negate whole expressions, and short-circuit evaluation in lazy evaluation.

Explore Python for loops, iterables, and iteration concepts. Practice printing per iteration and handling strings, lists, sets, and dictionaries, with vowel extraction as an example.

Master debugging by stepping through your code with breakpoints to suspend execution, inspect variables, evaluate expressions, and use step over, step into, and run to cursor to reveal program flow.

Master the range function in Python, creating range objects with start, stop, and step, and converting them to lists for for loop tasks.

learn to use for loops with ranges to perform repetitive tasks, such as summing 0 to 100 and selecting lottery winners with the random module, including throwaway variables and f-strings.

Create a Python password generator using the random and string modules to produce a 12-character password from letters, digits, and punctuation, following secure password practices.

Explore for, continue and pass statements in Python, and see how continue returns control to the loop top to skip remaining code, while pass serves as a placeholder.

Master the break statement in Python and see how it exits the innermost loop. Explore for-else behavior, range-based looping, nested loops, and patterns like checking divisibility by 13.

Master Python while loops by seeing how a boolean test governs execution, incrementing x to avoid infinite loops, and using else clauses with break statements for post-loop behavior.

Explore how while loops work with continue and break, using a Python example that prints numbers divisible by 13 under 100 and shows why skipping increment causes an infinite loop.

Master the break statement to exit the innermost while loop or a nested loop and resume execution, with practical examples from lucky-number prompts and prime-number checks.

Explore the walrus operator (colon equals) in Python 3.8, learn to assign and return values in one expression, improve readability, and write more efficient input loops.