Python Mastery: The Complete Web Programming Course

Learn how to declare variables in Python, assign integers, strings, floats, and booleans, and use the type function to inspect data types.

Explore Python's core data types, numbers, strings, and booleans, through arithmetic operations, string methods, and conditional expressions; then practice with examples like concatenation, greeting messages, and f-strings.

Explore arithmetic, comparison, and logical operators in Python, learn how to perform basic math operations, compare values, and combine conditions to drive decision making in code.

Explore how Python evaluates expressions through operator precedence, from basic arithmetic to mixed operations, including exponentiation, multiplication, division, addition, and subtraction, and use parentheses to control evaluation order.

Master Python conditional statements, including if, elif, and else, to control program flow by evaluating conditions such as x > 5 and executing corresponding code blocks.

Master Python loops by exploring for and while loops, iterating over sequences with range, printing values, and using break to exit early.

Learn how break and continue statements control loops in Python, including premature exits in for and while loops and skipping iterations in nested loops.

Learn to create, access, modify, and manipulate Python lists, understand their mutability, and perform common operations such as appending, inserting, removing, popping, and slicing to manage data.

Explore Python list comprehensions as a concise, readable alternative to loops. Learn the syntax [expression for item in iterable], build squares, evens, nested products, and word lengths.

Master Python tuples by learning how to create, access, and unpack immutable sequences, explore their index-based access, and mix data types in a single tuple.

Master Python dictionaries by learning how to create, access, update, and remove key-value pairs, and understand their mutable, unordered nature.

Explore essential Python dictionary methods, including get, keys, values, and items, to efficiently add, update, retrieve data, and iterate over key-value pairs with optional defaults.

Master Python sets by learning how to store unique elements and perform union, intersection, and difference, with practical examples of adding and removing elements.

Explore function arguments and return values in Python, including positional and keyword arguments, default values, and returning and unpacking multiple values in practical examples.

Learn to write lambda functions in Python to create small anonymous functions. Apply them to sorting with a key, filtering even numbers, and mapping to squares using map.

Master importing and using modules in Python, including standard libraries and custom modules. Learn to import specific functions, use numpy as np, and run practical examples.

Explore the Python standard library, including datetime for current date and time, random for numbers, os for file system interaction, and JSON for converting between dictionaries and JSON strings.

Learn how to read from and write to files in Python using built-in open, read, write, append, and close functions, including line-by-line reading.

Learn how to read, write, and manipulate files with Python using read, write, read line, and write line methods, including append and context managers for safe file handling.

Learn to handle exceptions in Python with try, except, else, and finally blocks, manage zero division errors, handle value and type errors, and define and raise custom exceptions with messages.

Master how to use try, except, and finally blocks in Python to handle errors and perform cleanup in file operations, including multiple exception types.

Explore Python classes and objects, learn to define a class with an init method, create car instances, and add start and drive methods to illustrate object behavior.

Learn Python attributes and methods by building a person class with name and age, accessing and updating them via self, and using getter and setter for a private age.

Learn how Python inheritance lets a subclass inherit attributes and methods from a superclass to promote code reuse and modularity, with examples like animal and dog, overriding and using super.

Explore overriding methods in Python by subclassing a shape and redefining the area method, using super() to access the superclass implementation and customize string representations.

Explore polymorphism in Python by defining a base class and derived classes, overriding methods like speak, and invoking them on animal and dog instances to show dynamic behavior.

Learn encapsulation in Python by building an account class with private attributes. Implement private methods, deposit funds, and display balance to demonstrate data hiding.

Explore creating a class-based Python iterator that represents a data stream, traverses elements one by one with a next method, and prints them without loading the full sequence.

Explore generators in Python and how yield produces multiple values on demand, enabling memory-efficient data streams. See a simple generator and a Fibonacci sequence generator using next and for loops.

Explore function and class decorators in Python, learn how to modify behavior without changing code, and implement timing, logging, access control, and memorization patterns.

Explore Python context managers to manage resources with the with statement, including reading and writing files, and build a custom context manager using a class with __enter__ and __exit__ methods.

Explore NumPy, a high-performance Python library for numerical computing, learn to create 1D, 2D, and 3D arrays, and perform basic element-wise operations like addition and multiplication.

Explore dataframes and data manipulation in Python using pandas, create a dataframe from a dictionary, access columns and rows, and apply functions to transform data.

Master python plotting with the matplot library to create line and scatter charts, customize x and y data, colors, markers, and titles for data analysis and presentation.

Build a simple web application in Python using a lightweight framework, creating routes, templates, and a to-do list with add and display functionality, and run locally.