
Install Python and set up PyCharm to begin the fundamentals course, then create your first Python project and write a 'Hello world' program to learn syntax, indentation, and printing.
Learn Python syntax by writing and running code with print statements, indentation rules, and if statements and comments. Understand variables, strings, and how IDEs like PyCharm interpret code.
Explore Python fundamentals: declare variables, learn data types, write multi-line comments with triple quotes, print with concatenation, and cast with str, int, and float while using the type function.
Learn to name Python variables with identifiers starting with a letter or underscore, using alphanumeric characters and underscores. Compare camelCase, PascalCase, and snake_case, avoid Python keywords, and perform multi-variable assignments.
Explore Python variables, assigning one value to multiple names, unpacking lists into x, y, z, and printing multiple variables with comma separation, plus issues with string concatenation and types.
Explore Python variable scopes by distinguishing global and local variables, and learn how functions affect visibility with examples of the global keyword and accessing x inside and outside functions.
Develop a Python address book project using dictionaries and lists to store contacts with name, phone, and email, and learn input, functions, return values, loops, and local and global scope.
Create a menu-driven address book in Python fundamentals that adds, views, and deletes contacts using a while loop and a four-option CLI menu.
Run and extend the address book project in python, adding, viewing, and deleting contacts, then explore data types like str, int, float, list, dict, bool, using type() to inspect variables.
Master Python data types, including lists, tuples, ranges, dictionaries, booleans, none type, and numeric types (integers, floats, complex), with type checks, conversions, and using the random module to generate numbers.
Learn Python strings, defined with single or double quotes, including multi-line forms. Strings are Unicode sequences with no separate character type; use zero-based indexing, len, and in with for loops.
Explore how booleans in Python represent true and false, evaluate conditions with if statements, and use the bool function. Discover Python operators: arithmetic, assignment, comparison, logical, identity, membership, and bitwise.
Learn how Python lists store multiple items, their order, mutability, and how to create and access list elements with indices, including examples of strings, numbers, and booleans.
Create lists with the list constructor and explore four data types: lists, tuples, sets, and dictionaries, while learning index access, negative indexing, ranges, and item existence with in.
Master how to modify Python lists by changing items with indices or ranges, inserting and appending elements, extending with other iterables, and removing items to manage list length.
Learn to work with Python lists, creating, appending, removing with pop and del, clearing, and using negative indexing, then iterate with for loops, range, and length.
Explore Python loops by using while and for loops, learn list comprehension, and build new lists from existing ones through filtering with conditions and range-based iteration.
Explore Python strings through practical examples, learning quote usage, membership tests with in and not in, string slicing, and common methods like upper, lower, strip, replace, and split.
Explore Python tuples: understand their ordered, unchangeable nature, how to create and index them, differences from lists, and using the tuple constructor and length checks.
Learn to access tuple items by zero-based and negative indexing, slice ranges, and check membership with in, and discover how to modify tuples by converting to a list and back.
Access set items with a for loop and check membership, then add, update, and remove elements. Use add, update, remove, discard, and pop to modify sets; union joins sets.
Explore python sets and dictionaries, mastering union, update, discard, remove, add, for loops, membership tests, and key–value access with practical examples.
Master dictionary creation and manipulation in Python, using the dictionary constructor, accessing by key or get, listing keys and values, updating entries, and checking key presence with in.
Master removing items with pop, pop item, del, and clear in Python dictionaries; loop through keys, values, and items, and copy dictionaries with copy.
Learn to copy dictionaries in Python using the copy method. Explore nested dictionaries with a family example, including name, email, and year, and practice accessing nested items.
Learn to work with nested Python dictionaries, access values with get and keys, modify and remove entries using year, color, pop, and clear methods, with hands-on exercises.
Master Python if else logic with if, else, and leaf branches, using indentation and colon, and learn the end keyword with and or to combine conditions.
Explore Python if else with not, or, and operators, learn to use pass for empty blocks, and master while loops with break, continue, and else for controlled iteration.
Master Python loops, including while loops, break and continue, and for loops over lists, strings, and dictionaries, with range and nested loops for complex iteration.
Delve into nested and for loops, use pass for empty loops, and begin defining Python functions with def, covering parameters, arguments, arbitrary and keyword arguments.
Master Python functions by defining with def, passing arguments (positional and keyword), using defaults, returning values, and handling lists, tuples, and dictionaries.
Explore Python functions, including return statements, the use of pass for empty content, recursion with self-calling functions, and a brief introduction to lambda expressions.
Master Python lambda functions as anonymous one-expression functions, handling single or multiple arguments, and integrate them inside another function to build a word count tool project.
Reinforce counting words with a dictionary in the count words application, then build a Python quiz app using enumerate, f-strings, and a scoring loop.
Learn to build a Python quiz application, print and track the score using a template literal, load questions like the capital of France, accept number inputs, and troubleshoot score increments.
Fix input handling in a Python quiz by converting user input to integers and matching the answer, then outline a prime number generator with an isprime function and square-root optimization.
Learn to build a Python temperature converter with functions to convert Fahrenheit to Celsius and Celsius to Fahrenheit, plus an interactive loop handling user input and quit option.
Explore Python classes and objects, including the init constructor and the str representation method, and learn how to define and call class methods on objects.
Describe how the self parameter references the current instance. Explain inheritance with a person class and a child class using init and printname for first and last names.
Explains how a child class inherits methods and properties from a base class, uses super to initialize, and extends with new attributes like graduation year in a student class.
Extend a base person class into a student subclass, add a welcome method, and explore Python iterators with iter and next, plus polymorphism via the len function across data types.
Explore Python polymorphism, from using Len function on tuples and lists to implementing a shared move method across car, boat, and plane, and learn how inheritance enables overriding.
Learn Python classes and polymorphism through inheritance among car, boat, and plane, for loops and move methods, then local and global scope and the global keyword, and import Python modules.
Master how to use Python modules by importing your own and built-in modules like platform, math, and datetime, and manage packages with pip and PyPI.
Continue your journey through python modules II as this module introduces another topic for learners.
Master python json basics and practical data handling, turning json data into usable structures while progressing along the path from start to finish.
Import the json library, parse json with loads to convert to a Python dictionary, and use dumps with indent, sort_keys, and separators to produce readable json.
Master Python regex basics, using findall, split, sub, and match objects to extract text, then explore pip and Python packages like camelcase.
Learn practical pip usage to install and uninstall packages such as camelcase, compare terminal and gui workflows, and master Python try, except, else, and finally for robust error handling.
Learn to handle errors with try, except, else, and finally in Python, raise custom errors, and use user input and the format method to build dynamic messages and price formatting.
Master Python string formatting with index and named placeholders, placing values precisely. Learn file handling using open modes r, a, w, x and text versus binary, with read and write.
Learn Python file handling by reading line by line, closing files, and using open modes for read, append, and write, then creating, deleting files and folders with os.
Build an add contact function with phone number validation, save the phone book to json using json.dump, and enable viewing with json.load in a tkinter interface.
Build a Python todo app with tkinter by importing json and os, applying a dark theme, and managing tasks, completed tasks, and deleted tasks.
Create and run a Python to-do app that loads data with the OS module, manages active, completed, and deleted tasks, and organizes them into tabs.
Build and refine a Python Tkinter to-do list app by creating and styling a text box, adding task and complete task buttons, and debugging code.
Define add and delete tasks with warnings, save completed tasks to JSON, and refresh the task list in a Python todo app.
Learn to multiply tuples with the asterisk, use count and index to locate items, and explore sets with curly braces, their unordered nature, and using len to measure size.
Build a Tkinter-based todo app by adding tasks to separate tabs, manage labels and colors, and refresh task lists while testing and debugging common errors.
Learn how to build a live weather app in Python by fetching data from OpenWeatherMap using requests and json, parsing temperature, weather description, humidity, and wind speed, with error handling.
Build a live weather forecast app in Python by creating the main function and handling the OpenWeather API key. Prompt users for a city name and implement robust error handling.
Learn to connect a Python weather app to the OpenWeatherMap API by generating and using API keys, handling JSON responses, and testing real-time weather data for Manila.
Build a Python student management system that loads and saves data from a JSON file with os and class structure, providing a menu to add, update, delete, and view students.
Fix and test a Python student management app, ensuring unique student IDs and names, and implementing add, update, delete, and view all functions with proper error handling.
Implement a student management module with update, add, delete, and view functionalities. Save changes to json, prompt for student ID and name, and handle existing or missing IDs.
Explore generator expressions in Python through practical examples: powers of two, filtering primes, generating random numbers, and summing squares from one to ten.
Explore Python fundamentals and advanced topics, including list comprehensions, filtering even numbers, and creating lists of tuples with zip; learn about generator expressions, context managers, and decorators.
Learn how Python context managers automate resource setup and cleanup using with statements, with practical examples like files, timers, teleporters, and treasure chest simulations.
Discover how decorators in Python modify function behavior using wrappers. See examples with cake, make-a-wish, robot dance, and power boost to learn practical decorator patterns.
Explore object oriented programming in Python by building a shape hierarchy with classes, inheritance, and encapsulation, including rectangle and circle implementations and area methods.
Build Python classes like bank account, car, and book, with constructors and methods such as deposit, withdraw, start engine, and display info.
Develop python object oriented programming by building a vehicle base class and a car subclass with init and super, and implement drive and honk methods.
Create an object oriented python example with an animal base class using init to store name and a make_sound method, then subclass dog, cat, and cow and print their sounds.
Learn inheritance in Python by creating a base Person class and Employee, Student, and Teacher subclasses, using __init__ and super to share name and age and enable greeting and info.
Explore Python encapsulation by bundling data and methods into a class, hiding internal details, and exposing a clean interface through get and set methods with practical examples.
Explore how Python polymorphism lets objects of different classes respond to the same method with distinct behaviors, related to inheritance and method overriding, illustrated with animals, shapes, and instruments.
Explore higher order functions in Python, where functions are data and can be returned or passed, using map, reduce, lambda, itertools count, and partial.
Explore functional programming in Python by using list comprehension, recursion with factorial, immutability principles, and pure functions with map and lambda, building robust, side-effect free code.
Create a simple Python game that demonstrates object oriented programming with a Character class and a Player subclass, using random damage and a defeat condition.
Continue the Python game by adding an enemy class that inherits from the character class, implements attack and take_damage with random 5–15 damage, and a game loop.
Develop a Python game that demonstrates object oriented programming concepts, including inheritance, polymorphism, and encapsulation, through a player and enemy battle with attacks and health.
Master Python metaprogramming by learning how decorators modify and generate code at runtime, including timing and authentication decorators that wrap functions with wrappers.
Master Python decorators, from function decorators to decorators with arguments and chaining decorators. See how wrappers and the repeat decorator transform a hello world function into uppercase output.
Explore metaclasses in Python by defining a metaclass to create new classes with custom attributes and methods, and examine an advanced metaclass example.
Explore Python metaclasses, including abstract base classes and plugin metaclass patterns to support plugin architecture. Learn how abstract classes cannot be instantiated directly and how attribute validation enforces type checks.
Master Python metaclasses by building a validate attribute metaclass and a dynamic class inside a base class, then troubleshoot syntax errors and the dynamic metaclass not defined issues.
Develop a meta maze game with Python metaprogramming and metaclasses, using PyCharm and a virtual env with Python 3.10, navigating a grid maze powered by a @ symbol.
Explore Python metaprogramming with a dynamic maze metaclass and a decorator that modifies the maze, defines a five by five maze, initializes random positions, and implements cell movement.
Continue building a maze game by implementing directional movement up down left right with boundary checks, display logic, and metaprogramming techniques using decorators and a dynamic metaclass.
Explore Python basics: syntax, comments, and variables with hands-on examples. Learn data types such as string, integer, float, and complex, and work with lists, strings, and triple quotes.
Learn to slice Python strings with positive and negative indices, adjust case, strip whitespace, replace, split, concatenate, and format numbers within strings using the format method.
Explore escape characters and string methods in Python, including quotes, backslashes, and newlines, capitalize and upper, length with len, and boolean expressions with if-else logic.
Explore Python operators, including arithmetic, modulus, and exponentiation, with practical print examples. Learn about Python lists: creation with square brackets or the list constructor, zero-based indexing, and mutating items.
Learn Python list manipulation by adding, inserting, extending, and removing items with append, insert, extend, remove, pop, and clear, and loop through lists with for and while loops and range.
Learn to sort lists alphabetically or numerically, copy and join lists with plus, access items, and explore tuples, including updating by converting to a list and their unchangeable nature.
Examine tuples via list conversion to add or remove items, explore sets as unordered, unchangeable collections with add and membership testing, and work with dictionaries as ordered key-value stores.
Learn to manipulate a python dictionary: access, update the year, and add or remove items with bracket notation and pop. Explore if/else, the ternary operator, and while loops with break.
Explore how Python functions use parameters and arguments, default values, and list arguments; learn return statements, pass for empty definitions, recursion basics, and lambda anonymous functions with a single expression.
Learn to use lambda functions and anonymous functions for multi-argument operations, explore Python arrays via lists, and grasp objects, classes, the init function, and methods with practical examples.
Explore Python polymorphism across strings, tuples, and class methods, using len and a move method for car, boat, and plane. Examine inheritance with a vehicle base class and overridden moves.
Explore Python polymorphism through class inheritance and the move method, illustrated with boat, car, and plane examples, then master scope concepts including local and global scope and using global keyword.
Learn how to manage Python scopes with the global keyword. Discover modules as code libraries, from creating and importing mymodule.py to using aliases and built-in modules like platform.
Discover how to inspect modules with dir, import selectively with from, and work with date objects via the DateTime module, plus math functions like min, max, abs, pow, and sqrt.
Use the math module to compute square roots, apply floor, and utilize pi constants. Learn the json module to parse with loads and convert Python objects to json with dumps.
Learn to use Python regex for pattern matching with findall and search, explore metacharacters and whitespace handling, and manage errors with try-except-else-finally, using pip, PyCharm, and user input.
Master user input and string formatting in Python using the format method with placeholders, and explore NumPy for fast array operations and linear algebra, Fourier transforms, and matrices.
Explore the singleton pattern in Python with practical examples, including a bookshelf and a key, demonstrating how single shared instances are created via get_instance and add_book.
Learn how to implement a Python singleton with an ice cream factory that returns vanilla or chocolate flavors via a static method, and a magical counter shared across the program.
explore the factory pattern in Python to create objects of different types via a factory class, with car, dog, cat, and circle area examples.
Learn Python factory patterns by building circle and rectangle shapes, a shape factory that creates shapes by type, and a person factory for default values.
Explore concurrency and parallelism in Python with multi-threading and multiprocessing, including a shared counter guarded by a lock and asynchronous programming with aiohttp.
Explore profiling, memory management, and efficient data structures to boost Python performance. Practice timeit timing, list comprehensions, generators, and set-based membership testing for practical optimization.
Implement sets for member testing in Python and apply memoization to optimize recursive Fibonacci, using PyCharm's error hints for correctness. Use dictionaries for lookups, binary search, and join.
Build a rock, paper, scissors game to illustrate object oriented programming, encapsulation, and pythonic design patterns, using random selection, player classes, input validation, and choose logic.
Extend the rock, paper, scissors game in Python by implementing if and else logic, for loops with range, and a best-of-three scoring system with prints and player names.
Continue building a rock, paper, scissors game in Python with object-oriented classes and input handling, then explore a number guessing game using random and time modules.
Learn to build a real-world Python number guessing game with a start game loop, input validation, timing, and user feedback using f-strings and standard library features.
Build a hotel booking app in Python by defining a Hotel class with rooms, a Booking class, a book room method, a get_total_cost method, and a datetime-based login context manager.
Define hotel data with room types and prices, build a hotels list, and use for and enumerate loops to collect user hotel and room choices in the main program.
Build a real-world hotel booking app in Python by implementing a booking class, check-in and check-out data, total cost calculation, and a logging context manager for debugging.
Run and test a real world hotel booking app in python, using prompts for hotel, guest name, room type, and dates, while logging execution time and handling validation errors.
Build a real world Python weather app by obtaining an OpenWeatherMap API key, setting up PyCharm, creating a GitHub repository, and fetching live weather data with the requests module.
Build a python weather app using the openweathermap api, construct the url with city, api key, and metric units, fetch json data, and display temperature, description, humidity, and wind speed.
Debug the weather app by fixing the assignment operator and aligning else with if statements, then add tkinter input and display the forecast or not found message.
Learn to run a real-world Python weather app with a Tkinter GUI, enter a city to get weather details, and push the project to GitHub using Git Bash.
Learn to build a simple Python file manager using tkinter and os, featuring a file manager class and GUI elements to select directories, create files, and delete files.
Continue building a real-world python file manager by adding create and delete folder buttons, a listbox with a scrollbar to show the current directory contents, and a select directory dialog.
Create and delete files in a Python-based file manager app by validating the current directory and file name, updating a list box, and confirming deletions with message boxes.
Continue building a Python Tkinter file manager, implementing create and delete folder functions with directory selection, input validation, and yes/no confirmation before removing folders.
Build a Python file manager app with GUI interactions to select directories, create and delete files and folders, handle errors, and push projects to GitHub.
Create a real-world chat app by building a ChatGPT clone in Python, setting up a PyCharm project, installing OpenAI, tkinter, and time, and using the OpenAI chat completion with GPT-3.5-turbo.
Build a Python ChatGPT clone that handles user input with get_chat_response, generates replies via an API, and displays them in a Tkinter window with typing animation and exit keywords.
Build a tkinter-based chat interface for a real-world Python ChatGPT clone, including a chat frame, text display, scrollbar, and input entry, then debug and progress to the next module.
Deploy a real-world ChatGPT clone by styling the button in a Python Tkinter project, configuring font, foreground, background, and center alignment, while initializing chat history and pushing to GitHub.
Explore how Python, natural language processing, and ChatGPT empower AI applications across healthcare, finance, and education, while examining ChatGPT capabilities, limitations, and responsible use.
Learn to build a ChatGPT using the OpenAI API, manage API keys, and work with GPT-3.5 and GPT-3.5 Turbo through system and user messages.
Install and set up the PyCharm community edition, create a Python project, and explore essential features such as run, debug, Git integration, Python console, and managing packages.
Explore Python basics, including English-like syntax, indentation for blocks, cross-platform use on Windows, Mac, and Raspberry Pi, plus variables, print statements, if statements, and comments.
Learn how Python variables hold values of different data types, switch types via assignment, inspect type with the type() function, and use quotes and naming styles such as camelCase, snake_case.
Master Python variables with multi-variable assignments and unpacking, and understand global and local scope. Explore core data types, including strings, numbers, lists, dictionaries, sets, booleans, and None.
Explore python numeric types—integers, floats, and complex numbers—and learn to inspect their types, convert between them, use the random module, and define strings with quotes.
Explore Python strings through slicing, indexing (including negative indices), and common string methods such as upper, lower, strip, replace, split, concatenation, and the format method to build dynamic text.
Master Python strings by applying the format method with unlimited arguments and placeholders, with indexing, explore escape characters, and review booleans for conditional logic.
Explore Python operators, including arithmetic, assignment, comparison, and logical operators. Learn about lists, indexing, length, and how PEMDAS affects expressions.
Learn how to access Python list items by index and negative index, slice by index ranges, modify values, and use append, insert, extend, and remove to manage list items.
Learn to remove and clear items from Python lists using pop, del, and clear; loop with for and while; and create filtered lists with list comprehension on a fruits example.
Explore Python tuples, unpacking and converting between tuples and lists with append. Loop with for, range, and while; join and multiply tuples; and learn sets as unordered with add.
Continue the discussion on Python lists by exploring sorting, copying, and joining lists, including case-insensitive sort; implement a to-do list app with add, mark, and delete features.
Build a Python to-do list app by defining functions to display, add, complete, and delete tasks, then run a main loop that prompts user input.
Build a Python to-do list app by implementing a menu with if/else choices to display, add, complete, delete, or quit tasks; manage a list with indexing and task status.
Explore Python tuples, learning how to store multiple items in a single variable, understand that tuples are ordered and unchangeable, and use indexing, slicing, length, and the tuple constructor.
Learn to access and update tuples by converting to a list and back, add items with append or plus-equals, remove with list methods or del, and unpack tuple values.
Explore Python tuples, including unpacking and converting between lists. Loop with for, range, and while; join and multiply tuples; add to sets and note no duplicates and randomized order.
Master Python tuples and sets, unpacking, converting between tuple and list, joining and multiplying tuples, looping with for or range, and adding items to sets where duplicates are not allowed.
Learn how to manipulate Python sets using add, update, remove, discard, pop, and clear. Loop through sets, delete variables, and perform union, intersection update, and symmetric difference update.
Explore Python sets with intersection and symmetric difference updates, revealing how booleans relate to numbers, then master Python dictionaries as ordered key-value stores with get, keys, values, and update.
Explore Python dictionaries by adding, updating, removing, and clearing items; loop through keys and values, copy dictionaries, and work with nested dictionaries, including real-world Json scenarios.
Learn to use Python if statements with comparison operators (equal, not equal, less, greater, etc.) and the and keyword, including elif, else, indentation, and one-line forms.
Master Python conditional logic with or and not operators, nested ifs, and the pass statement, then control loops with while, break, and continue, while comparing values with < and <=.
Master Python loops by iterating over lists, tuples, sets, dictionaries, and strings with for loops, using break and continue; then learn functions with def, parameters, and arbitrary and keyword arguments.
Master Python functions by exploring default parameter values, argument passing, and returning results, with a list as an argument, a for loop, the pass statement, and recursion and lambda expressions.
Explore Python classes, using the class keyword and constructor to initialize object properties with self, learn __str__ for string representations, and apply inheritance.
Master python inheritance with a student class extending a person class via super, and explore printname, welcome, and iterators, iterables, and polymorphism in car, boat, and plane examples.
Demonstrate Python polymorphism with a vehicle base class and car, boat, plane subclasses that inherit and override the move method, plus creating and importing a greeting module.
Learn to import and use Python modules, access module data and built-ins like platform, and perform file handling with open for create, read, update, and delete operations.
Learn to use python modules for ai, including tokenization with word tokenize and collections counter, count word frequencies, and explore spacey for named entity recognition on a sample story.
Create a Python ChatGPT clone with a Tkinter GUI, OpenAI integration using an API key, and image handling via Pillow for a complete chat experience.
Build a ChatGPT clone from scratch in Python, implementing animated typing, user input handling, and conversation history in a GUI with a text widget and chat area to display responses.
Build a tkinter chat UI that uses the OpenAI API, with a chat area, input box, and send button, styled in Roboto font and material style.
Build a ChatGPT clone in Python, focusing on the send button icon, image handling, and PNG assets, while integrating OpenAI API with Da Vinci and GPT-4 models, and managing keys.
Learn to build a web-based chat bot in Python using Flask and the OpenAI API, including obtaining an API key, wiring routes, handling post requests, and rendering a chat interface.
Build a Flask-based chatbot powered by the OpenAI API, troubleshoot common errors, and set up templates and Bootstrap styling for a responsive chat interface.
Fix a Flask app that calls the OpenAI API and parse the first response text, then build a Bootstrap-styled UI with an index.html form posting a message.
Style the front end of a Flask chatbot, build the HTML layout for responses with typing animation, and wire in jQuery and Bootstrap scripts.
Build the chat UI with CSS, featuring a bordered, rounded response container and a typing animation with keyframes and blink. Render responses and wire the interface to the OpenAI API.
Build a Python translator from scratch using tkinter GUI and OpenAI API keys to translate English text into Spanish, French, German, and Italian.
Develop a python translator app ui using tkinter, set a 400 by 700 geometry with fixed window size, and configure source and target text labels.
Style the Python translator app by configuring the target text label, output text area, screen frame, and a language drop-down with a translate button and API key integration.
Build a tkinter based Python app in Python Wizardry, powered by the OpenAI API to auto generate subtasks from a task, with config management and animated typing and loading effects.
Implement and update the display loading function for the test automation app. Toggle strikethroughs, manage line start/end, and generate steps via OpenAI with a loading animation.
Build a python gui task buddy using openai completion, handle errors, display steps with animate typing, and customize Comic Sans fonts for a 700 by 600 window.
Build a styled gui for a task buddy app with title, input, and display areas. Connect the generate steps button to OpenAI API, show loading, display steps, and enable strikethrough.
Style the app's user interface by configuring the title, input area, and a generate steps button that calls the open API. Learn fonts, backgrounds, and padding for the task interface.
Build an AI-powered task buddy app with tkinter and the OpenAI API, displaying generated steps, implementing strike-through for completed tasks, and wiring API key handling in config and main scripts.
Build a tkinter-based Python project that generates advice using the OpenAI API, featuring a color-changing interface, a generate button, and a three-second simulated delay.
Build an ai powered advice generator using openai text-davinci-002, prompt 'give me a piece of advice', parse the first choice, and display results with color themes and montserrat font.
Build an ai powered advice quote generator interface with a shadowed card, color-driven background, and a get advice button that uses the open ai api to generate multi-line advice.
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