Ever dreamed of owning a shop? Let's dive in! This project will teach you how to calculate your shop's net income using Python. Build a handy tool to track your earnings by inputting product sales, staff costs, and other expenses and watch Python crunch the numbers for you! By the end, you'll have a practical calculator that will give you a clear picture of your shop's financial health. No accounting degree required!
Welcome to your first Python project! This project is a practical task that helps you apply the Python skills you’ve learned so far. The Virtual Study Assistant is designed to be simple and approachable, introducing you to fundamental programming concepts while solving a real-world problem
What can be better than a cup of coffee during a break? A coffee that you don’t have to make yourself. It’s enough to press a couple of buttons on the machine and you get a cup of energy; but first, we should teach the machine how to do it. In this project, you will work on programming a coffee machine simulator. The machine works with typical products: coffee, milk, sugar, and plastic cups; if it runs out of something, it shows a notification. You can get three types of coffee: espresso, cappuccino, and latte. Since nothing’s for free, it also collects the money.
If you’ve ever wanted to create games, this project will get you started! In this project, you will code a Rock-Paper-Scissors-Lizard-Spock game, a more advanced version of Rock-Paper-Scissors, which can be played against the computer. You will practice concepts frequently tested in technical interviews at top tech companies.
The International Union Against Idleness (IUAI) announced a competition for an application that would motivate users. There are prizes involved. Since you like competing and know a little bit about programming, you asked your friend to prepare an interesting algorithm for a quick buck. Unfortunately, you weren't clear enough, and instead of a ready-made program, a friend prepared a flowchart of Honest Calculator. You will have to put some effort into assembling it.
Have you ever wondered what it's like to peer into different animal habitats? With this project, you'll be able to build a simple monitoring system using Python! Think of it as a virtual zoo visit from your console. You'll dive into the basics of Python and learn how to handle data input and output.
This project will teach you how to take user commands and display animal information, making you feel like a real zookeeper. You'll use lists to organize your data and loops to keep the program running. In the end, you'll have a fun, interactive tool that shows off your new Python skills and lets you explore the animal kingdom from your screen.
Get started building your own simple chatbot! This project will guide you through creating a console-based assistant in Python that can exchange greetings, take your name, and solve basic math problems.
Learn the basic concepts to bring your friendly, calculating assistant to life. You will learn how to take input from users in your program. You will also learn how to make your programs more interactive with if statements and loops. Discover how to declare functions to structure your program. See Python's power and simplicity at work in an interactive project.
Have you ever wanted to code a game where the computer is your enemy? Well, this little project allows you to do just that. Take turns playing classic dominoes against your computer in a race to victory. Learn, how artificial intelligence can make use of simple statistics to make educated decisions. This project is all about basic concepts, put them to practice by making a fun little game.
We bet you know how to rename, copy, and delete files on your computer, but have you ever considered creating your file manager? This project will help you do just that. You can guide your file helper through folders, check sizes, and edit content. It's a must-have tool for organizing your computer.
Want to convert one currency to another? You can go to your bank website and do the math by yourself. Or you can write a program to do it quickly and efficiently! The Currency Converter is a simple console program that calculates the amount of money you get by converting one currency to another.
Machine learning is getting crazy smart these days. You've probably read texts or scripts written by machine learning algorithms, some of them even mimicking styles of certain people! If you ever wondered how it works and what are the secrets behind machine learning, this project is for you! You will have a chance to understand and implement a simple text generator using Markov chains.
Movies whisk us away to magical realms and ignite our imagination. So why settle for just watching your favourite films when you can re-imagine them? In this project, you'll feed a large language model a dataset of movie scripts to craft brand-new scenes, character dialogues, and even invent entirely new twists.
We all love different kinds of books. As we grow up, we are able to digest more difficult texts easier. How to assess the difficulty of a given text? How can you make your program do that? Write a program that determines the difficulty of a text and predicts the grade level needed to understand this text.
Medical researchers have found that if the medicine label contains only text, a person learns only 70% of the information on it. But if a piece of instructions has pictures, a person will learn 95%. In this project, you will explore data about Nobel laureates and apply Python tools for visualization. Start with data cleaning that includes handling missing values and dealing with duplicates. Then proceed to the data visualization. By the end of the project, you will get the graphs showing the main insights for the dataset.
The rise of large language models is changing how we process data and develop software. LangChain provides the essential tools to bridge the gap, making it easy to incorporate LLMs into your applications. This project offers a practical, hands-on introduction to LangChain. You'll learn the core concepts and techniques for developing intelligent, LLM-driven applications by building a system that answers questions about planets.
You've just been hired by a bus company that started actively using the Internet for business. Before you came, their database had been updated a few times by various employees with various levels of skill. Your task is to find all the mistakes they made in the database. Good news: you have documentation, but bad news: it's incomplete. This promises to be quite an investigation! In this project, you will write your own programs to test data consistency and correctness. You will practice reading documentation, working with data in JSON format, and creating lists, iterators, and dictionaries. You will also learn how to work with set methods, the itertools library, and the regular expression library.
In this project, you will develop a solution for semantic search using Qdrant, using OpenAI's embeddings API to process data, perform similarity searches, and construct an interface that enables retrieval of data points through natural language queries and filtering techniques.
Personal finance can be tricky, but it doesn't have to be! This project helps you understand loans and mortgages with a handy calculator. Just provide a few details like loan amount, interest rate, and payment terms. The program will calculate key financial parameters, making informed decisions easier. You can determine your monthly payment, the total interest paid, or the loan amount you can afford.
Plus, it's a great way to understand the command-line interface. So, ditch those complex spreadsheets and let our calculator simplify your finances, one calculation at a time. Get ready to become your own financial guru!
Eating out with friends is fun, but splitting the bill can be tricky. This project helps you develop a Python-based tool to easily divide restaurant bills equally. Input the number of friends and the total bill amount, and the app calculates each person's share. No more awkward calculations or uneven splits!
In this project, we will take a look at the logistic regression algorithm and build a custom binary classifier. The main idea of the project is to implement gradient descent for two different cost functions, devise a method to predict the probability that a given sample belongs to a certain class, and analyze training errors. And last but not least — put your models to the test on a real dataset.
A decision tree is one of the most widely used machine learning algorithms due to its ease of interpretation. This algorithm is similar to the way we make decisions in our daily life.
In this project, you will take a closer look at the algorithm and write it from scratch with the help of Python, NumPy, and Pandas. Teach the model to process categorical and numerical features to make data-based decisions. Implement a decision tree for classification and apply it to a real dataset.
Let's train a very simple but fully connected neural network! In this project, we'll create the necessary metric functions and use custom feedforward and backpropagation methods and functions, all done by hand. The dataset for this project is Fashion-MNIST – no more boring number recognition.