Python Mastery: 100 Days, 100 Projects
- Description
- Curriculum
- FAQ
- Reviews
Welcome to “100 Days of Python: Build 100 Real-World Projects – From Beginner to Expert”, the ultimate hands-on Python programming journey designed to take you from an absolute beginner to an advanced Python developer. This course is structured around project-based learning, ensuring you gain both theoretical knowledge and practical experience by building 100 unique projects over the next 100 days. Python is one of the most versatile and beginner-friendly programming languages, widely used in areas such as web development, data science, automation, artificial intelligence, and software development. This course aims to make Python learning fun, engaging, and deeply practical through a clear, structured approach.
Throughout this course, you’ll start with the fundamentals of Python programming, including variables, loops, functions, and conditionals, ensuring you have a solid foundation. From there, you’ll progressively dive into more advanced topics such as object-oriented programming (OOP), working with APIs, file handling, and GUI application development using Tkinter. You’ll also explore web development with Flask, enabling you to create dynamic web applications, and data analysis with Pandas and Matplotlib, helping you visualize complex datasets. Each day is carefully designed to introduce a key concept, followed by a practical, real-world project that reinforces what you’ve just learned.
This course doesn’t just stop at coding fundamentals; it prepares you to solve real-world problems using Python. Whether you’re developing a basic calculator, creating a weather dashboard app, or building an AI-powered chatbot, every project is crafted to simulate real-world scenarios. By the end of the course, you’ll have a portfolio of 100 Python projects to showcase your skills, making you stand out in job applications, freelancing platforms, or even as an aspiring tech entrepreneur.
One of the standout features of this course is its structured progression. Each day, you’ll start with a clear explanation of a Python concept, followed by a hands-on coding session where you’ll build something tangible. The projects range from simple tools like countdown timers and math quiz games to more advanced applications like e-commerce backend systems and AI-powered tools. This gradual increase in difficulty ensures you’re constantly challenged without feeling overwhelmed.
This course is perfect for beginners with no prior programming experience, as it starts with absolute basics and builds up gradually. It’s also ideal for aspiring developers, students, job seekers, and even freelancers looking to add Python to their skill set. If you’re a hobbyist or tech enthusiast, you’ll love how fun and interactive each project is, and if you’re aiming to transition into a tech career, this course offers everything you need to succeed.
By the end of this journey, you’ll not only have mastered Python programming but also gained the confidence to tackle real-world projects independently. You’ll be equipped with essential problem-solving skills, a deep understanding of Python libraries and frameworks, and a portfolio filled with impressive projects. Python is not just a programming language; it’s a skill that opens doors to endless opportunities in today’s tech-driven world. If you’re ready to learn Python by building, experimenting, and creating every single day, this course is your perfect starting point. Enroll today and let’s start building together!
-
1A Quick Crash Course: Learn Python from ScratchVideo lesson
Python is one of the most versatile and beginner-friendly programming languages, used widely in fields such as web development, data science, AI, and automation. This tutorial offers a simple, step-by-step guide to mastering Python, making it accessible even to complete beginners. Starting with the basics, learners are introduced to Python’s capabilities and the ease of getting started by downloading Python from its official site and writing their first program, print("Hello, World!"). This initial interaction demonstrates Python’s simplicity and sets the stage for building confidence in programming.
A foundational understanding of variables follows, showing how they store data such as names, numbers, and boolean values. Learners also explore different data types, including strings, integers, floats, and booleans. They practice taking user input with input() and creating dynamic programs, such as one that asks for two numbers and calculates their sum. These interactive exercises help solidify the core concepts of variables and user interaction.
Control flow in Python is explained through if-else statements and loops. Learners discover how Python makes decisions and executes code conditionally. For instance, they can write a program to check if someone is an adult or a minor. Loops, both for and while, enable repetitive tasks like printing sequences or iterating through conditions. Exercises, such as printing even numbers between 1 and 10, emphasize hands-on learning and application.
Functions, which are reusable blocks of code, are introduced as tools to streamline programming. Learners start by creating simple functions, like one that greets a user by name, and progress to functions with return values, such as one that adds two numbers. Writing functions becomes an essential skill for organizing and reusing code, making Python programming more efficient.
Learners then explore lists and dictionaries, two of Python’s most powerful data structures. Lists are collections of items that can be accessed by index, while dictionaries store data in key-value pairs. Practical exercises, such as creating a list of favorite movies or building a dictionary for personal information, make these concepts tangible and relatable.
The tutorial also introduces file handling, a critical skill for working with data. Learners practice writing to and reading from files using Python’s straightforward syntax. For instance, they can create a program to write their name to a file and then read it back, demonstrating how Python interacts with external data sources.
The power of Python lies in its extensive ecosystem of libraries and modules. Learners explore importing libraries like math for calculations and random for generating random numbers. Popular libraries such as NumPy, Pandas, and Matplotlib are highlighted for their applications in scientific computing, data analysis, and visualization, opening doors to advanced Python use cases.
The tutorial culminates in small projects that tie together all the concepts learned. From building a simple calculator to creating a to-do list app and a number guessing game, learners are encouraged to apply their knowledge creatively. These projects reinforce programming skills and provide a sense of accomplishment, demonstrating how Python can be used to solve real-world problems.
Finally, learners are guided on their next steps in Python mastery. Topics like Object-Oriented Programming (OOP), APIs, and web development are suggested as areas for further exploration. With links to resources such as the official Python documentation and free exercise websites, learners are empowered to continue their Python journey independently.
This structured, hands-on approach ensures that learners build a strong foundation in Python, progressing from writing their first line of code to creating meaningful projects. By the end, they not only understand Python’s syntax and capabilities but are also equipped to explore more advanced topics, making them true Python heroes. Python’s simplicity, versatility, and powerful features make it an ideal language for beginners and a gateway to the exciting world of programming.
-
2Day 1: Welcome Message Generator Print Statements & "Hello World"Video lesson
Day 1 of the 100 Days of Python Challenge is the perfect introduction to programming, designed to help you understand the basics of Python through hands-on learning. The focus is on mastering the print() statement, which is Python’s most fundamental way of displaying output on the screen. By writing your first program, print("Hello, World!"), you experience the simplicity and power of Python right away. This first step not only builds confidence but also lays the foundation for more complex concepts.
The tutorial dives into how Python handles both text and numbers. For instance, printing text alongside a calculation, such as "2 + 2 =", 2 + 2, demonstrates how Python seamlessly combines strings and mathematical expressions. This dual capability makes Python an intuitive language for beginners. Moving further, string formatting is introduced through f-strings, a feature that allows you to insert variables directly into text. An example like f"Hello, {name}!" shows how f-strings create dynamic, user-specific outputs, making your programs more interactive and engaging.
User input takes the learning up a notch, enabling programs to interact with users in real time. Using the input() function, you can gather data such as a user's name or preferences, which is then combined with f-strings to display personalized messages. For instance, the program name = input("Enter your name: ") followed by print(f"Hello, {name}!") introduces the concept of dynamic programming, where user input drives the output.
The highlight of Day 1 is the Welcome Message Generator project, a simple yet creative way to consolidate everything learned. This project involves collecting the user’s name and favorite hobby through input prompts and generating a personalized message using f-strings. The code, broken into steps, is straightforward, ensuring that even complete beginners can follow along. The output, complete with emojis and formatting, makes the project visually appealing and fun to share.
As an added challenge, bonus exercises encourage learners to extend their knowledge. For example, incorporating the current date and time into the message, asking for additional user preferences like favorite color, or experimenting with text formatting methods (name.upper() or name.lower()) helps solidify the day’s concepts. These exercises foster creativity and problem-solving, key skills for any programmer.
By the end of Day 1, you’ve mastered the print() statement, learned about f-strings and user input, and built a fully functional project. With additional resources like links to Python documentation, learners are well-equipped to explore further. The journey doesn’t stop here; Day 2 promises to delve into variables and data types, taking the challenge to the next level. This progressive approach ensures that by the end of 100 days, you’ll have the skills to create amazing Python programs and share your journey with pride.
-
3Day 2: Personalized Greeting Program: Variables & Data TypesVideo lesson
-
4Day 3: Simple Calculator User Input & String FormattingVideo lesson
-
5Day 4: Number Comparison Tool: If-Else StatementsVideo lesson
-
6Day 5: Countdown Timer: Loops (For & While)Video lesson
-
7Day 6: Basic Math Quiz Game: FunctionsVideo lesson
-
8Day 7: Shopping List App: ListsVideo lesson
-
9Day 8: Contact Book: DictionariesVideo lesson
-
10Day 9: Ingredient Checker: Tuples & SetsVideo lesson
-
11Day 10: Note-Taking App: File HandlingVideo lesson
-
12Day 11: Safe Calculator: Exception HandlingVideo lesson
-
13Day 12: Temperature Converter: Functions with Return ValuesVideo lesson
-
14Day 13: Student Grade Manager: List ComprehensionsVideo lesson
-
15Day 14: Random Password Generator: Modules & LibrariesVideo lesson
-
16Day 15: Recipe Viewer App: Reading FilesVideo lesson
-
17Day 16: Daily Journal Logger: Writing FilesVideo lesson
-
18Day 17: Student Report Generator: CSV FilesVideo lesson
-
19Day 18: Mini To-Do App: JSON FilesVideo lesson
-
20Day 19: Weather App using API: APIs (Basics)Video lesson
-
21Day 20: Event Countdown Timer: Dates & TimeVideo lesson
-
22Day 21: Wikipedia Article Scraper: Web ScrapingVideo lesson
-
23Day 22: Bank Account Simulator: Classes & ObjectsVideo lesson
-
24Day 23: Library Management System: Constructors & MethodsVideo lesson
-
25Day 24: Employee Management System: InheritanceVideo lesson
-
26Day 25: Animal Sound Simulator: PolymorphismVideo lesson
-
27Day 26: Secure User Profile App: EncapsulationVideo lesson
-
28Day 27: Inventory Management System: Static & Class MethodsVideo lesson
-
29Day 28: Mini ATM Machine: Final OOP ProjectVideo lesson
-
30Day 29: Simple GUI App: Tkinter BasicsVideo lesson
-
31Day 30: Click Counter App: Buttons & EventsVideo lesson
-
32Day 31: BMI Calculator: Input FieldsVideo lesson
-
33Day 32: Drawing Pad App: Canvas WidgetsVideo lesson
-
34Day 33: Simple Login System: Message BoxesVideo lesson
-
35Day 34: To-Do List GUI: Advanced WidgetsVideo lesson
-
36Day 35: Expense Tracker App: GUI CapstoneVideo lesson
-
37Day 36: Hello Flask App: Flask BasicsVideo lesson
-
38Day 37: Personal Blog Website: Routes & TemplatesVideo lesson
-
39Day 38: Contact Form App: Forms & User InputVideo lesson
-
40Day 39: User Registration App: Database IntegrationVideo lesson
-
41Day 40: Mini Weather API: REST APIsVideo lesson
-
42Day 41: Deploy Flask App: DeploymentVideo lesson
-
43Day 42: Portfolio Website: Flask CapstoneVideo lesson
-
44Day 43: Matrix Calculator: NumPyVideo lesson
-
45Day 44: Data Cleaner: PandasVideo lesson
-
46Day 45: Graph Plotter: MatplotlibVideo lesson
-
47Day 46: Sales Report Analyzer: Data AnalysisVideo lesson
-
48Day 47: Temperature Plotter: Plotting TrendsVideo lesson
-
49Day 48: Stock Price Tracker: Data ScrapingVideo lesson
-
50Day 49: COVID-19 Dashboard: Capstone ProjectVideo lesson
-
51Day 50: Weather Dashboard AppVideo lesson
Fetch real-time weather data using an API and display it in a clean interface
-
52Day 51: Expense TrackerVideo lesson
Build an app to log daily expenses and generate a summary report
-
53Day 52: File Organizer ToolVideo lesson
Automate organizing files into folders based on file types
-
54Day 53: Tic-Tac-Toe GameVideo lesson
Create a playable two-player Tic-Tac-Toe game with a GUI
-
55Day 54: Mini ChatbotVideo lesson
Build a simple chatbot that responds to basic user queries
-
56Day 55: Music Playlist OrganizerVideo lesson
-
57Day 56: Personal Budget PlannerVideo lesson
Design an app to track income, expenses, and savings goals
-
58Day 57: ASCII Art GeneratorVideo lesson
-
59Day 58: Pomodoro TimerVideo lesson
Build a timer app following the Pomodoro productivity technique
-
60Day 59: Markdown to HTML ConverterVideo lesson
Convert Markdown files into HTML web pages
-
61Day 60: Personal Diary AppVideo lesson
Create a diary app with password protection
-
62Day 61: Social Media ScraperVideo lesson
Goal: Build a scraper to extract recent posts or information from a local HTML file simulating a social media feed.
-
63Day 62: Automated Backup ToolVideo lesson
Goal: Create a tool that backs up files from a specified directory to a backup location with a timestamp and logs the process.
-
64Day 63: Movie Recommendation SystemVideo lesson
Goal: Build a recommendation system using collaborative filtering and cosine similarity to recommend movies based on a dataset (stored locally).
-
65Day 64: PDF Merger ToolVideo lesson
Goal: Write a script that merges multiple PDF files into one, with options to specify the order of merging.
-
66Day 65: Portfolio Website BackendVideo lesson
Goal: Simulate a backend for a portfolio website using Python to handle static files, manage user feedback, and store them locally in a database-like structure.
-
67Day 66: Flashcards Learning AppVideo lesson
Goal: Create an interactive flashcard app for learning new concepts. Users can add, review, and mark cards as "learned."
-
68Day 67: Stock Market DashboardVideo lesson
Goal: Build a local dashboard using Tkinter to track and visualize stock price data stored in CSV files.
-
69Day 68: Task SchedulerVideo lesson
Goal: Design a task scheduler that allows users to schedule tasks, set reminders, and track task completion.
-
70Day 69: Currency ConverterVideo lesson
Goal: Develop a currency converter app using exchange rates stored locally (in a JSON or CSV file).
-
71Day 70: Data Visualizer AppVideo lesson
Goal: Build an app that dynamically generates visualizations (charts, graphs) from CSV or Excel files provided by the user.
