Learn Python from Basics to Production

Explore Python strings, including how to define them with single, double, and triple quotes, and how escape sequences let you include quotes and special characters.

Learn how to slice strings in Python using start and end indices; start is inclusive and end is exclusive. Use defaults to zero or to the string length.

Explore advanced string slicing in Python, using start, stop, and step to control selection, reverse strings with negative steps, and understand optional values in slicing.

Learn to manipulate strings with functions like lowercase and capitalize, and use index to locate leftmost and rightmost positions, with -1 returned when not found.

Explore Python string functions that detect data types inside a string, including is numeric, is upper, is alphanumeric, and is alpha, and verify uppercase or lowercase compliance.

Extract the last name from a full name using string slicing and the index of space. Capture user input, and compute first and last names dynamically with the space index.

Learn how Python uses the input function to read command-line input, store values in variables, and convert strings to integers with type casting, including age examples and basic error handling.

Use if-else statements with indentation to evaluate conditions and handle true or false branches. Convert user input to integers, check even numbers with modulo, and distinguish assignment from equality.

Learn how to combine multiple conditions in Python using and and or operators in if statements, including comparisons such as greater than zero.

Explore efficient conditionals in Python by comparing values, using if-else logic, and mastering one-line conditionals for compact, readable code.

Learn python from basics to production by building an email validator, writing and storing each condition, checking for an @ symbol and length, and using variables to track indices.

Create a date checker that validates a user entered date by extracting day, month, and year from a string using slicing, type casting, and conditional logic to enforce valid ranges.

Explore how to use lists in Python to store multiple values in one place, including heterogeneous data types and nested lists, and print the list to see its contents.

Explore zero-based indexing on lists, using indices from zero to length minus one and negative indices to count from the end, including nested lists.

Explore list slicing in python by using start, end, and step to extract elements, such as the first five items. Reverse with a negative step and learn about optional parameters.

Explore how lists are mutable in Python, showing how you can replace, add, or change elements by index. Compare with strings, which are immutable, highlighting how lists differ in mutability.

Learn how the append function adds a value to the end of a list. See how pop removes the last element and returns it, even when the list becomes empty.

Explore the list insert function to add data at a chosen position, including at the beginning (index zero), and use remove to delete a value by its first occurrence.

Explore the difference between shallow copy and deep copy for lists, including slicing, especially with nested lists, and learn why deep copy prevents changes from affecting the original.

Learn to use split to convert csv strings into lists by delimiter, and join to fuse lists back into strings, with examples of comma and space separators.

Learn to calculate the average, minimum, and maximum of a list in Python by summing elements, dividing by the list length, and using min and max functions.

Compare the Python list.sort() and sorted() functions to sort data: sort mutates the original list in place, supports reverse for ascending or descending order, while sorted returns a new list.

Learn to build a simple rock paper scissors game in Python, where users set rounds, input choices, and the computer randomly picks moves using if conditions and indexing.

Learn how while loops repeat actions while a condition holds, with examples printing 1 to 100 and even numbers. Increment the counter and write concise, efficient looping code from zero.

Explore sequences and for loops in Python by indexing lists and strings using range and for loops, printing elements and understanding positions and lengths.

Learn to collect five numbers with a loop, find the min and max, and compute their average in Python, with practical input handling and loop control.

Explore list comprehensions in Python to replace loops, generating squares like 0, 1, 4, 9, 16, and build a list of even numbers from 0 to 10 multiplied by three.

Learn how to handle files in Python by using the open function to write and create text files, manage paths, and overwrite content.

Learn to read files with the open function in read mode, use read to obtain a string, print it, and interpret first line as a header for names and ages.

Learn how to read data from a file in Python by iterating lines with readline and readlines, handling headers and data, and converting lines into a list of strings.

Explore reading and processing data from a file by iterating over a list of strings, using unpacking and split to separate name and age, and removing newlines to clean input.

Store data read from a file as a list of name and value pairs, print the final data, and sort it using a lambda key to enable flexible data manipulation.

Learn how to append data into a file in Python, avoid overwriting existing content, and understand how write operations interact with file opening and closing.

Learn to check file existence with the exists function before reading, preventing file not found errors, and use dynamic input for filenames in Python.

Compare real-world dictionaries to Python dictionaries to understand key-value pairs and how data is stored. Access values with data[key] and update them by assigning new values to a key.

Learn how dictionaries, or maps, provide constant-time lookups by key and how to add new values using a key-value pair inside curly braces.

Explore how the update function handles an existing key in a dictionary: passing the same key updates its value, showing dictionaries cannot contain duplicate keys.

Learn how to use dictionary functions in Python, including keys, values, and items, to retrieve keys, values, and key-value pairs, and convert them into lists for easy manipulation.

Learn to build a simple user system with a Python dictionary, creating new users and validating passwords for authentication. Explore name checks and authentication workflow.

Map user choices to functions using a dictionary to build a Python menu-driven program, execute the selected function, and handle missing keys gracefully.

Count character frequency in a string using a dictionary. Iterate through data, update each character's count, and use string.count() to fetch frequencies.

Explore dictionary comprehensions in Python by counting character occurrences in a string, building key-value pairs for each letter, and mapping a data stream to a dictionary.

Learn how functions group code into a single task, define with def, and call across files to reuse authentication logic and simplify updates.

Define a function to process data, pass values as arguments, and call it repeatedly; observe that parameters become local variables and you can pass multiple values to print the sum.

Learn how returning data from functions keeps code predictable by avoiding printing inside a function; use return values, store sums in a variable, and write single-task functions in Python.

Write a function that returns the sum of a number's digits by converting the number to a string and adding each digit. Then use the returned sum, optionally squared.

Learn how optional arguments in Python functions work, including default start and end values, using range with inclusive ends, and calling with keyword arguments to omit positional order.

Explore Python namespaces and function scope by examining how inner functions access outer variables, how nested functions interact with arguments, and the scope hierarchy from basics to production.

Explore how functions act as first-class citizens by passing, storing, and calling them as arguments, and implement decorators that wrap and transform other functions.

Learn how to add member functions to Python classes, using self, and manage object properties across instances, print data via methods, and see how changes affect all class objects.

Explore how Python implements objects and classes in object-oriented programming, revealing encapsulation, polymorphism, and abstraction as core building blocks.

Learn to build a banking system using object oriented programming in Python, with bank class managing user name, password, balance, and a history of deposits and withdrawals stored as dictionaries.

Learn how to define a Python class with an __init__ method that collects name, password, and initial amount, uses private attributes, and initializes a transaction history within the project.

Learn how to implement add and deduct functions in a Python class, including input validation for negative amounts, updating balance, and recording transactions in a history list.