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试试DataCamp for Business曲目描述
Python Developer
Take Your Python Skills to the Next Level
Build upon your foundational Python knowledge and take your skills to new heights in this advanced Python Developer Track. Designed for those who have mastered the basics, this Track will equip you with the tools and techniques used by professional Python developers in their daily work.Ensure Code Quality and Efficiency
Learn industry best practices for testing and optimizing your Python code. You'll discover how to:- Write comprehensive test suites using pytest to catch bugs early
- Profile and optimize your code for maximum performance
- Organize your code into reusable packages for easy distribution and maintenance
Master Version Control with Git
Collaborate with confidence by leveraging Git, the most widely used version control system. Through hands-on exercises, you'll learn to create and manage repositories, work with branches and remote repositories, resolve merge conflicts, and revert changes. Additionally, you'll gain experience contributing to open-source projects, ensuring seamless teamwork and efficient version control in real-world development environments.Extract Valuable Data with Web Scraping
Unlock a wealth of data by learning to scrape websites using Python. You'll gain the skills to:- Navigate and parse HTML and XML documents
- Extract data from APIs and dynamically-generated pages
- Handle authentication and sessions
- Store scraped data in databases for further analysis
Explore Advanced Python Concepts
Deepen your understanding of Python’s object-oriented programming features while exploring essential data structures and algorithms. You'll work with descriptors, multilevel inheritance, and abstract base classes to build more flexible and maintainable code. Additionally, you'll dive into fundamental data structures such as linked lists, stacks, queues, and hash tables, along with key searching and sorting algorithms. This section also covers time and space complexity analysis, equipping you with the skills to write efficient and optimized Python programs.Become a Well-Rounded Python Developer
This Track is your launchpad to tackle complex software projects and contribute to the Python ecosystem. By combining efficient coding practices, collaborative workflows, and specialized skills like web scraping, you'll be prepared to excel in a variety of Python development roles.Join the ranks of professional Python developers and take your career to new heights. Enroll now and start your journey towards mastery!先决条件
Associate Python DeveloperChapter
In this chapter, you'll learn what it means to write efficient Python code. You'll explore Python's Standard Library, learn about NumPy arrays, and practice using some of Python's built-in tools. This chapter builds a foundation for the concepts covered ahead.
Chapter
In this chapter, you will learn how to gather and compare runtimes between different coding approaches. You'll practice using the line_profiler and memory_profiler packages to profile your code base and spot bottlenecks. Then, you'll put your learnings to practice by replacing these bottlenecks with efficient Python code.
Chapter
This chapter covers more complex efficiency tips and tricks. You'll learn a few useful built-in modules for writing efficient code and practice using set theory. You'll then learn about looping patterns in Python and how to make them more efficient.
Course
Discover the fundamentals of Git for version control in your software and data projects.
Course
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Course
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
Course
Learn to create your own Python packages to make your code easier to use and share with others.
Course
Learn to retrieve and parse information from the internet using the Python library scrapy.
Project
Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.
Course
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Course
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.