Python Mastery: 100 Days, 100 Projects

Übersicht

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.

Lehrplan

• Introduction to Python Programming
Overview of Python
Setting up the Python environment
Basic syntax, variables, and data types
• Week 1-2: Foundations of Programming in Python
Control flow: conditionals and loops
Data structures: lists, tuples, sets, and dictionaries
Functions and modules
Project: Simple Calculator
• Week 3: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Project: Basic Inventory System
• Week 4: Working with Files
Reading and writing to files
Working with CSV and JSON formats
Project: To-Do List App with File Storage
• Week 5: Error Handling and Debugging
Exception handling in Python
Logging and debugging techniques
Project: Robust Web Scraper
• Week 6: Introduction to Web Development with Flask
Setting up Flask
Basics of routing and templating
Project: Personal Blog Website
• Week 7: Data Manipulation with Pandas
Introduction to Pandas
Data cleaning and transformation
Project: Sales Data Dashboard
• Week 8: Data Visualization
Plotting with Matplotlib and Seaborn
Creating interactive plots with Plotly
Project: Interactive Data Explorer
• Week 9: Introduction to APIs
Understanding RESTful services
Consuming APIs with requests
Project: Weather Application with API Integration
• Week 10: Automation with Python
Automating tasks with Python scripts
Web automation with Selenium
Project: Automated Email Scheduler
• Week 11: Introduction to Machine Learning
Basics of machine learning concepts
Simple linear regression with Scikit-learn
Project: House Price Predictor
• Week 12: Advanced Machine Learning
Classification algorithms
Unsupervised learning techniques
Project: Music Genre Classifier
• Week 13: Working with Databases
SQL basics with SQLite
Interacting with databases using SQLAlchemy
Project: Library Management System
• Week 14: Web Development with Django
Setting up a Django project
Models, views, and templates
Project: Online Marketplace
• Week 15: Testing and Deployment
Writing unit tests with PyTest
Continuous integration and deployment
Project: Deployment of a Flask App to Heroku
• Week 16: Advanced Python Concepts
Decorators and generators
Multithreading and multiprocessing
Project: Chat Application with Socket Programming
• Week 17: Exploring Data Science
Introduction to NumPy
Exploratory data analysis
Project: Customer Segmentation Analysis
• Week 18: Image Processing with OpenCV
Basics of image manipulation
Object detection and tracking
Project: Face Recognition System
• Week 19: Natural Language Processing
Text processing with NLTK and Spacy
Sentiment analysis
Project: Chatbot using NLP Techniques
• Week 20: Final Capstone Project
Selection of a real-world problem to solve
Development and deployment of the solution
Comprehensive project review and feedback
• Course Review and Next Steps
Consolidation of key concepts learned
Resources for continued learning
Preparing for a Python developer career path

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Unterrichtet von

Vivian Aranha

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Fachgebiete

Programming