Udemybeginnerja

正しく学べる 誰でもわかる Python(プログラミング基礎+オブジェクト指向+GUIアプリ+Webアプリ+AIアプリ)

Learn Python from scratch! This course covers programming basics, object-oriented concepts, GUI & web apps, and AI/machine learning. Master Python for any project.

3.9(52)
477students
23h 3m
Certificate
栄一郎 荒川
栄一郎 荒川プログラミング

Course Content

正しく学べる 誰でもわかる Python(プログラミング基礎+オブジェクト指向+GUIアプリ+Webアプリ+AIアプリ) is a beginner-level Udemy course taught by 栄一郎 荒川. It runs 23h 3m, is taught in Japanese, and includes a certificate of completion. Learners rate it 3.9 out of 5 from 52 reviews, with 477 students enrolled. It is a paid course, last updated September 2025.

Python: Master the Fundamentals & Build Powerful Applications

Unlock the potential of Python, a versatile programming language driving innovation in application development and artificial intelligence (AI) research. This comprehensive course provides a clear, step-by-step path to mastering Python from the ground up – perfect for beginners! With easy-to-understand explanations, you'll gain the skills and confidence to succeed. ★★★★ Start your Python journey today!

Course Highlights: 5 Essential Modules

  • Python Fundamentals: Build a Solid Foundation

    • Master core Python syntax and programming concepts.
    • Develop a strong understanding that enables you to transition to other languages like Java and C.
    • Ideal for those seeking to learn programming basics, Python basics, or aspiring to build GUI apps, web apps, and AI applications.
    • Topics Covered:
      • Python Overview
      • Variables, Operators, and Data Types
      • Lists, Tuples, Dictionaries, and Arrays
      • Control Flow (if statements, for loops, while loops)
      • Functions (usage, scope, lambda expressions)
  • Python Object-Oriented Programming (OOP): Design Scalable Applications

    • Learn the principles of object-oriented programming in Python.
    • Understand how to structure programs using objects, mimicking real-world interactions.
    • Perfect for those aiming to leverage Python for complex projects, including file processing, database management, and more.
    • Topics Covered:
      • OOP Concepts & Principles
      • Class Definition (attributes, methods, constructors, destructors)
      • Inheritance, Polymorphism, and Abstract Classes
      • Packages and Modules
      • Exception Handling (user-defined exceptions)
      • File Handling (reading/writing files)
      • Database Interaction (database operations)
  • Python GUI Application Development: Create Interactive Interfaces

    • Develop skills in building graphical user interfaces (GUI) with Python.
    • Learn to create intuitive applications using elements like buttons, images, and canvases.
    • Ideal for those wanting to build desktop applications and interactive tools.
    • Topics Covered:
      • GUI Fundamentals & Components
      • Image Handling (Pillow library)
      • Event Handling
      • Menu Creation
      • Canvas and Image Manipulation
      • Building Functional GUI Applications (e.g., drawing apps)
  • Python Web Application Development with Django: Build Robust Web Apps

    • Gain proficiency in building web applications using Python and the powerful Django framework.
    • Understand the MTV model and leverage Django's built-in tools for efficient development.
    • Learn about session management and essential security measures for web applications.
    • Topics Covered:
      • Web Fundamentals (HTML, HTTP, URLs)
      • Server-Side Technologies
      • Data Communication (form handling)
      • Django Framework Overview
      • Django Forms & MTV Model
      • Session Management
      • System Development & Security (CSRF, SQL Injection)
  • Python AI & Machine Learning: Explore the World of Artificial Intelligence

    • Dive into the exciting world of artificial intelligence (AI) and machine learning.
    • Learn about supervised learning, unsupervised learning, and reinforcement learning.
    • Explore real-world AI applications like robotics, autonomous vehicles, and natural language processing.
    • Topics Covered:
      • AI Fundamentals & Environment Setup
      • Machine Learning Libraries (scikit-learn, Pandas, NumPy, Matplotlib)
      • K-means Clustering
      • AI Applications (e.g., handwritten character recognition, face detection)
      • OpenCV for Computer Vision

Ready to embark on your Python journey? Enroll now and start building the future!

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