Python: From Zero to Hero - Code Your Way to the Top

Create a Python list with square brackets and comma-separated values, assign it to a variable like players, print it to show zero-based indexing and varying data types.

Explore how to use the len function and list indexing in Python, print the list length, access items by index, and slice with a colon, including negative indices.

Explore practical list manipulation in Python by creating a fruit list, updating the third item by index, appending new items, printing the updated list, and deleting an item by index.

Learn how to create Python tuples, an immutable data structure, using parentheses or optional brackets and commas to store multiple items of different types, such as strings and numbers.

Learn how tuples in Python can contain lists, access elements by index (zero-based), and print results, then slice ranges to include items like Apple and Tofig while excluding the end.

Explore how tuples stay immutable yet can be reassigned to a different set of values, as shown with a fruits tuple changing from three items to two: apple and fig.

Learn to concatenate tuples with the plus operator and delete a whole tuple using del, demonstrating the resulting name error when printing after deletion.

Explore how to create and use Python dictionaries, unordered key-value collections, with curly brackets, and display them using print or the dict() constructor.

Learn how to access dictionary values by key, use get for safe retrieval, handle missing keys with none, and store lists or tuples as values with nested indexing.

Learn to update and add items in Python dictionaries, which are mutable, delete items with del, and remove the entire dictionary, using practical examples with Ronaldo and Pogba.

Explore Python sets, an unordered, unindexed collection defined with curly braces; learn to add with update, check membership with in, determine length with len, and iterate using a for loop.

Learn how if statements in Python enable conditional decision making by evaluating a boolean condition. See a number test against 55 and observe printing when the condition is true.

Explore how Python handles conditional statements using if-else, with a variable set to 50 and a condition greater than 55. See what prints when the condition is false.

Explore Python conditional statements with if and elif blocks, use multiple conditions like number >= 50 and < 55, and learn indentation rules and printing strings inside blocks.

Learn how Python's conditional expressions work, using an if-else style ternary operator to print 'smaller than 10' or 'anything else' based on x, with simple, adjustable examples.

Explore why loops matter in Python, focusing on while loops and for loops, how to create a loop, with an example that prints numbers from 1 to 7.

Learn to terminate a while loop with the break statement in Python, using a condition like num equals four to exit early and produce numbers 1 to 3.

Explore how to use the else clause with a while loop in Python, including how the loop completes triggers the else block and how break prevents it from running.

Position the increment inside a loop to control the output range. Compare after-print and before-print scenarios, producing ranges 1–7 versus 2–8.

Master the for loop to iterate over sequences in Python, from lists and tuples to dictionaries and strings, using break and for-else to control flow.

Learn to create and use functions in Python by defining with def, passing arguments, organizing code with indentation, and calling functions to produce output.

Learn to pass information into Python functions as arguments, including multiple arguments separated by commas, and explore the hello function with a name argument and a default value.

Pass data as function arguments in Python, including strings, numbers, lists, and dictionaries. Learn to pass a list to a function and print items with a for loop.

Master the return statement to deliver a value from a function. See how the expression is evaluated and what happens when none is returned.

Explore Python keyword arguments by calling functions with key=value pairs, showing how argument order can be ignored and how to print each fruit using named parameters.

Practice arbitrary keyword arguments in Python by using an asterisk before a parameter to collect multiple fruits and access them by index.

Explore recursion in Python, where a function calls itself to solve problems by reducing them to smaller instances. Review a practical example, its termination risks, and memory considerations.

Learn about Python lambda functions, anonymous one-line expressions. See how lambda x: x + 20 assigned to a returns 30 when called with 10.

Explore how lambda functions accept multiple arguments, with two examples: a two-argument multiply and a three-argument sum, showing how to call and display results.

Explore using lambda inside a function to create a reusable multiplier, returning an anonymous function that multiplies its argument by a captured K and testing with various X values.

Demonstrate creating a Python class as a blueprint, defining methods with self, and instantiating objects to print outputs.

Learn to create multiple objects from the same class in Python by defining a self parameter in a new hello method and printing outputs for different objects.

Learn to define a Python class that groups addition, subtraction, and multiplication as methods, then create objects and call them with X and Y to compute results.

Discover how the Python __init__ constructor initializes object properties when a class is instantiated, using self, and how to define and call a method to display a greeting.

Define a Python player class with an __init__ method to set name and age, create a new_high method to print a greeting, and instantiate an object to display the message.

Explore how the self parameter in Python designates the current instance and enables attribute access via dot notation, and that self is a convention.

Learn how to delete attributes in Python using the del keyword, removing the age property from a player object and handling the resulting attribute error in code.

Learn how to delete objects in Python using the del keyword, with a practical example that removes an object and shows a name error when printing.

Learn how to modify object properties in Python by setting a value like age to 55 and printing it to the screen using the print function in the integrated terminal.

Explore Python inheritance by defining a base class with an init and a display method, then create a derived class instance to print first and last names.

Discover how a child class inherits methods and properties from a parent class, by passing the parent as a parameter, create an object, and call the parent’s display method.

Create a Python module file with a hi function, import it into another module, and print hi plus a name in the integrated terminal.

Explore how to declare and use variables inside Python modules and work with dictionaries across files. Import a module, access dictionary values by keys, and print results to the console.

Learn to name and rename Python modules and alias them. Practice importing a module as first, then access the name key in the dictionary and print results using as keyword.

Explore Python's built-in modules, import random to generate numbers between five and two hundred, and use the platform module to print your operating system and list its available functions.

Import only a single part from a module using from First Module import the player one dictionary, then print the value of the name key from that dictionary.

Learn to create and write to a text file in Python using open with mode 'w', write text, and close the file, then run to verify.

Open a text file in Python with the open function in read mode, read its contents, print the text to the terminal, and then close the file.

Open a file with the open function using a filename and a write or append mode, then use the write function to add content and finally close the file.

Use try and except blocks to handle errors in Python, with an example where an undefined variable triggers the except block and prints an error message.

Learn to handle many exceptions in Python using multiple except blocks, with tailored messages like 'variable is not defined' for name errors.

Learn how try, except, and else blocks control Python error handling, running code on success and printing messages like 'Python is fun' when no errors occur.

Learn how the finally block guarantees execution after try and except, even when errors occur, and compare its behavior with standard try-except blocks in Python.

Learn how to raise an exception in Python with an if condition and the raise keyword, illustrated by data = -3 triggering 'sorry, no numbers below zero here'.

Learn to raise a type error with a conditional check, enforcing integers only. The example shows using raise when a is not an integer and the resulting output.

Learn to read and write JSON in Python using the built-in json module, convert JSON to a Python dictionary, and access values with keys for pretty printing.

Convert a Python dictionary to a json string using json.dumps, import the json module, and print the result after creating a dictionary with keys name, age, and city.

Convert Python objects to json strings using json.dumps, importing the json module, and print results for dictionaries, lists, tuples, strings, numbers, booleans, and None.

Read and print data from a player.json file in Python using open and json.load, parsing into a dictionary and displaying results.

Learn to write Python dictionaries to a JSON file using the json module. Create a sample player_one dictionary with name, id, language, and city, then dump as JSON with indentation.

Learn to pretty print JSON in Python by converting a string to a dictionary and using json.dumps with indent=4 and sort_keys=True for readable, sorted output.