The Python Developer Essentials Immersive Bootcamp

Explore the four basic data types in Python: integers, floats, strings, and booleans, and learn how to assign values to variables and use them in programming.

Explore variables in Python by understanding memory containers that hold any data type, learn the assignment operator, and practice naming conventions to write readable, efficient code.

Explore how Python supports multiple assignments in one statement, using a single equals sign to map multiple values to multiple variables, and assign the same value to several variables.

Write descriptive Python variable names that are readable, start with a letter or underscore, and avoid spaces. Respect case sensitivity, prefer lowercase or camel case, and avoid Python keywords.

Learn to use Python's print function to display single or multiple values by passing variables like language and version, using commas to separate outputs and concatenate text.

Learn how to use Python's built-in type function to determine the class of data stored in a variable, with examples for strings, numbers, booleans, and lists.

Create Python variables, store integers, floats, strings, and booleans, and use single, double, or triple quotes. Learn camel case and underscores, case sensitivity, and readable code practices.

Learn to assign multiple values to Python variables in a single line, using comma separation in order, and print Ronaldo, Messi, and Kakha. Ensure the variable count matches the values.

Discover how to assign a single value to many variables in one line and print them with a single print call, using comma separation to display all variables.

Explore using the print function to display data, concatenate strings and variables with plus or comma, and avoid type errors by converting numbers with str() or using comma.

Use Python's built-in type function to determine data types like int, float, string, and list, and print results in the integrated terminal, exploring variables like X, Y, fruit, and numbers.

Explore Python arithmetic operators, including plus, minus, asterisk, and slash, with floating point results for division, exponentiation with double asterisks, and remainder with the module operator.

Learn the order of operations in Python and mathematics, applying parentheses first, then exponents, multiplication, division, addition, and subtraction with practical examples.

Master Python mathematical operations, including addition, subtraction, multiplication, division (floating division), integer division with //, exponentiation with **, and modulus for remainders.

Discover how Python follows the order of operations—parentheses, exponents, multiplication and division, then addition and subtraction—through a hands-on example that ends with 13.6.

Discover how to use Python comments to describe your code, improve readability, and understand single-line comments with the hash symbol and multiline comments with triple quotes.

Demonstrates how Python uses white spaces and indentation to define code blocks, shows indenting an if statement, and explains how missing spaces causes indentation errors.

Learn how to use Python comments to improve readability and code clarity, including single-line hashes, end-of-line notes, and multiline comments with triple quotes.

Explore how Python uses indentation and white spaces to define code blocks, including when to expect indentation errors after colons and how spaces shape the body of statements.

Explore common Python error types, from syntax and index errors to module not found, key, import, type, value, and name errors. Learn practical examples to diagnose and fix them quickly.

Explore the most common Python errors with practical examples, including syntax, index, module not found, key, import, type, value, and name errors.

Explore Python functions, including built-in standard library functions like type, input, int, float, and str conversions, and user-defined functions created with def to organize larger programs.

Explore built-in functions in Python and how to call them from the standard library to boost productivity. Convert values with int, float, and str, and read user input with input.

Learn how to define and call user defined functions in Python, using function headers, parameters and arguments, indentation, and the return statement, illustrated by an add numbers example.

Explore Python built-in functions from the standard library, such as print, input, int, float, and str, and learn how to call them, convert types, and display variable types.

Define a user defined function in Python with a single parameter x, return the result, and print it when you call the function with a value.

Define a function in Python and call it many times with different arguments such as 6, 5, and 3; print the results 36, 25, and 9.

Define a function with multiple parameters like X and Y, separate them with a comma in the header, and call it with arguments to produce the product in the terminal.

Learn to return multiple values from a function with a single return statement, using multiply, some, and divide to output x*y, x+y, and x/y; illustrated with three calls.

Learn how Python's anonymous lambda functions work, including syntax, single-expression rule, multi-argument capability, and using lambdas as return values in user-defined functions with practical examples.

Explore scope in Python by showing how the global keyword enables modifying a global variable X inside a function to 20, while X stays 10 outside.

Explore how Python lists act as mutable sequences that store multiple data types, accessible by zero-based indexes, with square brackets and colors and numbers examples.

Explore how Python tuples store multiple items in a single variable, access items by index, and remain immutable. Compare to lists, create with parentheses and commas, and allow duplicates.

Explore Python sets, a simple data structure that stores multiple values in curly braces, supports various data types, guarantees no duplicates, and remains unordered and immutable after creation.

Learn how dictionaries in Python store items as key-value pairs using curly braces and colon; they are mutable, do not allow duplicates, and are accessed by keys rather than indices.

Create and manipulate Python lists using square brackets, including strings and numbers, access items by index, modify and insert using the insert function, and print results to verify changes.

Learn to add items to a Python list with append, insert, and extend. Append watermelon, then extend with fruits and with a tuple, a set, or a dictionary, and print.

learn how to remove a specified item from a fruits list with the removal method, remove by index with pop, and clear the list to empty it.

Learn how to create a tuple in Python to store multiple items, access them by index, and understand that tuples are ordered and unchangeable.

Access and manipulate items in tuples and lists by index, including zero-based and negative indexing, ranges, and handling index errors, with practical printing in the Python terminal.

Master concatenating tuples in Python using the plus operator, combine integers one and integers two into all_tuples, print results in the integrated terminal, and delete a tuple with del.

Learn how to create a set in Python using curly braces to store unordered collections of unique items. Print sets and count items with len().

Create sets of strings, numbers, booleans, and mixed types using set() or the set constructor, print results, and note that {} yields empty dict while set() creates an empty set.

Create a fruits set, iterate with a for loop to print items, and check membership with in; learn that sets are unordered and items can be added but not changed.

Learn how to add items to a Python set using the add method and the update method to concatenate sets and lists, with practical examples like lemon and watermelon.

Learn to remove items from a Python set with remove and discard, handle errors for missing items, use pop to remove item, and clear or del to empty or delete.

Learn to create dictionaries in Python, a key-value data structure using curly braces and pairs; from Python 3.7 they are ordered, changeable, and you cannot duplicate keys.

Learn how a Python dictionary can store values of any data type, and use len to count items and type to inspect the dictionary's class.

Master accessing items in a Python dictionary by key with direct indexing or the get method, and learn to list keys, values, items, and key presence with in.

Learn how to update values in a Python dictionary by key, using direct assignment or the update method, and print results to verify changes.

Learn to add items to the person dictionary using the update beltane function or direct key assignment, for example ID with value 21 and another item, then print.

Learn how to delete items from a dictionary in Python using pop, del, and popitem, and how to clear the dictionary to an empty state.

Explore Python comparison operators and how they yield boolean true or false, with examples of equals, not equals, and less than or equal to, greater than or equal to.

Explore Python logical operators: and, or, and not, and see how they produce true or false based on operand values through practical demonstrations.

Learn how conditional statements drive decision making in Python, using if, elif, and else blocks, with indentation-based syntax to execute code when conditions are true or false.

Learn how Python uses comparison operators to compare values and produce boolean results (true or false), and apply operators like ==, !=, >, <, >=, <= in conditional statements.

Explore how to use the logical operators and, or, and not in Python conditionals, producing true or false booleans and practical examples with print statements.

Explore identity and membership operators in Python, learn how is and is not compare objects and return booleans, and how in and not in test membership in lists.

Master conditional statements in Python using if, elif, and else to make decisions based on conditions such as Y > X, with indentation defining blocks and printing results.

Explore the theory of while loops in Python and how they differ from for loops. Learn to define a variable, set a condition, and repeat code with the loop body.

Learn how to use the for loop in Python to iterate over sequences, such as strings and lists, with syntax, keywords, and proper indentation for each item.

Learn how to write a Python while loop with indentation, using a variable x from 1 to 6, printing x, incrementing it, and applying break or continue.

Master the Python for loop to iterate over lists and strings with for item in sequence, print(item), and learn break and continue for flow control.

Learn how Python's range function works with for loops to generate sequences from a start (default 0) to an end (exclusive), with optional step, shown by range(7), range(3,7), and range(3,15,2).

Explore object oriented programming in Python by using classes as blueprints to create objects from a template. Learn the class syntax, naming, and indentation that define a class body.

Explore how to define a python class with the class keyword, implement an __init__ method using self to set attributes, create multiple person objects, and print their attributes and types.

Modify and delete Python object attributes using dot notation and the del keyword, printing updated first and last names, and handling attribute errors.

Learn how to define methods inside a Python class, use self to access instance variables, and call those methods on objects to print a greeting with first and last names.

Learn how to implement inheritance in Python by creating a parent class player and a child class new player, initializing attributes, and using methods to get and format details.