現役シリコンバレーエンジニアが教えるPython 3 入門 + 応用 +アメリカのシリコンバレー流コードスタイル

Dive into Advanced Python Techniques for Real-World Application Development

This comprehensive course builds upon a solid foundation in Python 3, equipping you with the skills needed to excel in modern application development. We move beyond the basics to explore powerful Python techniques and essential tools for building robust and scalable solutions.

Key Topics Covered:

• Database Access: Master connecting to and working with various database systems, including:

  • SQLite: Ideal for lightweight applications and local data storage.
  • MySQL: A popular open-source relational database.
  • MongoDB: A NoSQL document database.
  • SQLAlchemy: A powerful SQL toolkit and Object-Relational Mapper (ORM).
  • memcached: An in-memory key-value store for caching.
  • HBase: A distributed, column-oriented database.
  • Neo4j: A graph database for relationship-heavy data.

• Web Development: Learn to build web applications with:

  • Flask: A lightweight and flexible web framework.
  • Socket Programming: For creating network applications.
  • RPC (Remote Procedure Call): For building distributed systems.

• Infrastructure Automation: Streamline your development and deployment processes with:

  • Fabric: A lightweight tool for automating Unix system administration tasks.
  • Ansible: A powerful automation engine for configuration management, application deployment, and task automation.

• Concurrency & Parallelism: Optimize performance using:

  • Threads: For concurrent execution within a single process.
  • Multiprocessing: For parallel execution across multiple processes.

• Testing: Ensure code quality and reliability with:

  • Unittest: Python's built-in testing framework.
  • pytest: A popular and extensible testing framework.
  • Tox: A tool for automating testing and code quality checks.
  • Selenium: For automated browser testing.

• Cryptography: Secure your applications with:

  • pycrypto: A widely used cryptographic library.
  • hashlib: For generating cryptographic hash values.

• Graphics: Explore visual programming with:

  • turtle: A simple graphics library for beginners.
  • Tkinter: A standard GUI toolkit.

• Data Analysis: Unlock insights from your data with:

  • NumPy: For numerical computing.
  • Pandas: For data manipulation and analysis.
  • Matplotlib: For data visualization.
  • Scikit-learn: For machine learning algorithms.

• Queuing Systems: Build scalable and asynchronous applications with:

  • ZeroMQ: A high-performance messaging library.
  • Celery: A distributed task queue.

• Asynchronous Programming: Improve application responsiveness with:

  • asyncio: For writing concurrent code using the async/await syntax.

Emphasis on Code Style (Pythonic Coding):

This course goes beyond simply writing functional code. We emphasize writing clean, readable, and Pythonic code. In the fast-paced environment of Silicon Valley, code maintainability and collaboration are paramount. A key aspect of success is writing code that is easily understood by other developers, even those from different cultural backgrounds. In fact, in the US tech industry, the ability to write clear and maintainable code is crucial for job security. Unreadable code can lead to negative consequences, including potential job loss.

Who Should Take This Course?

This course is ideal for developers who have a basic understanding of Python and want to:

• Develop more advanced applications.
• Improve their coding skills and write more maintainable code.
• Gain experience with industry-standard tools and techniques.
• Prepare for a career in the modern software development landscape.

We aim to provide you with the skills and knowledge to thrive in today's competitive tech industry. Let's build a brighter future, one line of Python code at a time!