
This course includes our updated coding exercises so you can practice your skills as you learn.
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Begin learning Python from day one by building real apps, including AI-powered assistants, while mastering fundamentals via a task manager and exploring automation, web development, APIs, and data science.
Kick off day one by building a command line to-do list app in Python, using lists and a text file, then extend to web and desktop versions with PyCharm setup.
Learn to install a Python IDE and interpreter, choose the PyCharm community edition over professional, and set up on Windows, Mac, or Linux using guided downloads.
Learn how to set up PyCharm, create a new Python project, select an interpreter, write a hello world program, and run it to see output.
Build a Python to-do list app by applying the input processing output workflow, create a main.py, and display the to-do list in the console.
Learn how to get user input in python with the input function, store it in a variable, and print the resulting string.
Teach students to collect multiple user inputs in a list, using input to create todo items and print the list, while explaining string types and list usage in Python.
Explore Python through hands-on code experiments that show how changing quotes, parentheses, whitespace, and line structure affects outputs and syntax errors, guided by PyCharm in real time.
Explore bonus example videos by writing small Python programs to revise concepts like input, len, and print, checking a title's length against a 100-character limit.
Master the Python console to quickly test code, declare variables, check types, and explore input and lists, whether in PyCharm or a terminal, with on-demand execution.
Use role play at the end of each section to revise and test your Python skills, guided by an AI tutor, covering variables, strings, lists, and user input.
Review yesterday's Python code that reads user input multiple times, stores values in variables and a list, and prints the to-dos, reinforcing variables, input, print, type, strings, and lists.
Learn to perform batch input in Python using a while loop with a true condition. Indentation, boolean concepts, and storing inputs in a list are covered.
Store todos in a list with Python methods in a loop, appending user input and printing updated list. Learn the difference between methods and functions and how print shows results.
Explore Python code experiments by running a while true loop and observing how print outputs behave. See how conditions affect loops and how parentheses call methods like capitalize and title.
Apply the while loop to validate a user password with input and the not equal operator, then print numbers 1 through 6 by updating x inside the loop.
Discover how to find Python methods using the console, dir, and help, exploring string and list methods like capitalize and append, and understanding method arguments and self.
Recap yesterday's code: initialize a string variable and an empty list, use a while loop to collect input, capitalize each entry, and append it to the todos list.
Build an interactive to-do list app using Python 3.10's match-case to add or show tasks, and exit the program with a break, driven by user input.
Learn to use a for loop to print each todo on its own line, formatting output without brackets or quotes, and apply the strip method to normalize user input.
Explore code experiments on the match-case block and for loop, handling unknown commands with a default case and a bitwise or to match multiple inputs.
Master the for loop by iterating over lists and strings, printing and capitalizing each item, with on-the-fly variables and the key difference from while loops.
Learn how Python uses CPython as the interpreter to translate Python code into machine language, enabling your computer to run and display results.
We recap yesterday by showing a todo app that uses a match case block to handle add, show, and exit commands, strips user input, and breaks the loop on exit.
Add an edit feature to a Python to-do interface, teaching users to select a task by index, convert input to int, and replace the chosen item in the list.
Explore Python list indexing and type conversion through console experiments, converting strings to numbers with int and float, and using getitem and setitem to access and modify lists.
Explore mutability in Python by showing how strings are immutable and lists are mutable, using for loops and replace method to create new strings, and introducing tuples as immutable sequences.
Explore the differences between text editors, code editors, and IDEs, with a focus on PyCharm for Python development. Learn how PyCharm's debugger, code completion, terminal, and interpreter settings streamline coding.
Learn to add an edit feature to a to-do app in Python, converting input strings to integers, adjusting for zero-based indexing, and replacing the selected to-do with a new one.
Learn to add numbered to-dos using the enumerate function to display index and item in a list, and use formatting with f-strings to improve user experience.
Use f strings to improve to do list output by combining index and item. Inject values with braces, include literals outside, and prefix with f to enable dynamic formatting.
Add a complete todo feature that marks items as done and removes them from the list using remove or pop, with 1-based prompts and index handling.
Explains for loops and enumerate to access index and item, and shows last index persists after the loop. Demonstrates len versus enumerate objects and converting to lists.
Create a Python program that sorts a list using for loops and enumerate, formats lines with an f-string, capitalizes items, and explains list.sort mutates the list while reverse controls order.
Enhance the to-do showcase by enumerating items and using f-strings to display numbered tasks. Remove completed tasks with pop and subtract one to align with list indexing.
Learn how to store todo items in a text file with Python, using open, writelines, and readlines, and manage newlines and proper file closing.
Learn to read todo items from a text file, initialize the to_dos list, handle line breaks, and display items with a simple command loop in Python.
Learn how Python data types such as lists and strings are created from external sources like text files, with file.read lines returning a list identical to a manually typed list.
Read a file in Python with open and the read lines method, learn how PyCharm refactoring updates paths, and handle relative and absolute paths across Windows, Mac, and Linux.
Explore how to generate multiple text files from two lists by zipping contents with file names, writing each content to its corresponding file inside a files directory.
Explore Python forums to stay connected, ask questions, and share news via Reddit's Python subreddit and Learn Python, plus course resources linking to a course Discord chat.
We migrated todo data from in-memory variables to a text file to persist data. We read existing todos, append new ones, and write back to the file.
Improve program output by removing backslash n line breaks from the to-dos list using a loop or a list comprehension, focusing on readability and efficiency.
Explore code experiments focused on cleaning to-dos by stripping spaces, comparing list comprehension and for loops, and using comments to document or temporarily disable code.
Transform a list of file names using a list comprehension to replace dots with dashes and append .txt, then reassign and print the new names.
discover how python fuels web development with flask or django, and powers data science, machine learning, ai, automation, and web scraping for real world apps and APIs.
Improve command line to-do displays by removing break lines using either a list comprehension or a strip method, prioritizing readability and minimizing redundancy.
Improve code readability and efficiency by using the with context manager to read lines from a file, ensuring it closes automatically and keeps output unchanged.
Edit and complete to-dos by selecting an item, replacing it with a new entry, and saving the updated list to disk using a with context manager and zero-based indexing.
Explore code experiments using the with context manager to open files, manage file paths and default read mode, print content, and understand how closing and indentation affect repeated reads.
In this bonus example, build a Python daily journal app that prompts for date and mood, records thoughts, and saves each day as a date-named file in a journal directory.
Discover the steps to create and maintain programs, starting with a minimum viable product, gathering user feedback, adding features, fixing bugs, and iterating to optimize code.
Recap editing and completing to-do items stored in todos.txt by indexing user input, reading the list, updating entries, and rewriting the file with proper newline handling.
Improve the add feature by using in to detect add intent, switch from match-case to if-else, and extract the to-do with slicing for a one-line add command updating todo.txt.
Optimize a Python todo program by prioritizing if/elif checks and else, parsing user input to handle add, show, edit, complete, and update todo.txt.
Master boolean operators in if-else blocks, using or, and, and not to handle user actions like add or new and update the todo list.
Build a Python password strength checker that prompts for input and tests length, digits, and uppercase with separate conditions; use all to report strong password or weak password.
Explore how high-level languages like Python translate into electrical signals the CPU understands, enabling cross-platform programs across Linux, Mac, and Windows, while assembly remains a middle-level option for OS kernels.
Switches from match-case to if-else to enable on-the-fly todo input, uses list slicing to extract todos, reads and updates todos file, and handles add, show, edit, complete, and invalid commands.
Fix two bugs in the Python todo program: add a newline to prevent duplicate todos, and use starts with for reliable command parsing. Implement graceful error handling for user input.
Prevent abrupt program termination by implementing error handling that reprompts for commands after invalid input. Use try and except blocks to catch value and index errors, letting the loop continue.
Explore the difference between syntax errors and exceptions in Python, and learn how try/except blocks handle errors through hands-on code experiments.
Explore how to distinguish syntax errors, exceptions, and logic issues in Python by using try/except and if statements, with a rectangle area calculator example.
Most people who try to learn Python quit.
Not because Python is hard — but because tutorials teach you syntax you forget by Tuesday. You watch, you nod, you copy the code… and a week later you still can't build anything on your own.
This course fixes that. You don't learn Python and then build apps — you learn Python by building 20 real-world apps, including AI agents with LangChain. By the end you won't just "know Python." You'll have built things real people can actually use.
Taught by Ardit Sulce, trusted by 600,000+ students across Udemy. This course alone has 362,000+ students and 73,000+ ratings at 4.6★ — one of the most popular Python courses on the platform.
And the timing has never mattered more. AI can write code — but it can't build and ship your app. Real software isn't a single snippet; it's many pieces wired together: databases, APIs, a web framework, and the logic that connects them all. Understanding how those parts fit is what separates someone who "can code" from someone who can actually ship working software — and it's exactly the part AI still can't do for you. This course teaches it the only way that sticks: by building 20 complete apps where you connect databases, consume and build APIs, and assemble all the moving parts into something real. You even learn to build AI agents yourself with LangChain — so you come out both AI-proof and AI-powered.
What you'll be able to do
Build and run real applications — desktop apps, web apps, APIs, data tools, and AI agents — that work for real users, not throwaway scripts.
Add a skill that opens doors: higher pay, more responsibility, and the option to move into full-time development.
Solve real problems on your own — the confidence to take any idea and turn it into working software.
Do the part AI can't: connect databases, wire up APIs, and assemble all the pieces into a real, working app — then put AI to work for you by building your own agents.
Why this course is different
Project-based from day one. You build interesting apps that keep you motivated — not endless theory.
You learn programming logic, not memorized syntax. That's the skill that lasts.
You go beyond scripts to full applications, with real-world structure and deployment.
You build AI automations and agents with Python and the new LangChain v1 — the skill separating relevant developers from replaceable ones.
Every concept is reinforced with hands-on practice, so it actually sticks.
What's inside
20 real-world apps built step by step — automation tools, web apps, APIs, data science tools, web scrapers, desktop GUIs, and AI agents.
57 sections, 454 lectures (~50 hours of video) taking you from the absolute basics to advanced topics.
84 hands-on coding exercises to practice as you learn.
Dedicated bug-fixing exercises that train you to read and fix real errors.
Quizzes to lock in the theory.
AI Role Play skill checks — practice and test your skills with an AI tutor at the end of each section.
Cheatsheets, an A–Z programming glossary, and downloadable source code for every section.
Q&A community support plus the ability to message the instructor.
Tips, tricks, and real-world advice throughout.
Who this is for
Complete beginners who want to finally understand Python by building real things.
Working professionals who want to add Python to their current role and become more valuable at work.
Career switchers who want to become full developers.
Anyone who's tried Python before but it didn't stick.
No prior programming experience required. All you need is a computer (Windows, macOS, or Linux) and the willingness to write code as you go.
Build real apps. Gain a skill that pays. Enroll now and start building today.