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Maximize your Python, Jupyter, and Pandas Productivity with ChatGPT and Copilot
Overview:
The new pair programming engines such as Copilot can write code alongside human developers. This process empowers programmers to focus their attention not only on simply writing code but leveraging these new technologies to dramatically improve their efficiency. This course gives you a comprehensive understanding of how Generative AI can be used in Python development, from basic script writing to complex data analysis, and how these tools can improve efficiency, creativity, and code quality.
This course equips Python developers with the skills to use Generative AI tools like ChatGPT and GitHub Copilot to enhance their coding practices. It covers how to incorporate Generative AI into basic script writing, web development, data analysis with Jupyter, and test-driven developmentall with practical exercises to solidify learners' understanding.
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About Pearson Video Training:
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
Introduction
Lesson 1: Generative AI Options for Python Development
1.1 Set up and work with ChatGPT
1.2 Write basic Python code using ChatGPT
1.3 Get started with Github Copilot
1.4 Learn the basics of navigating Github Copilot
Lesson 2: Writing Basic Scripts with GenAI
2.1 Write basic automation scripts with ChatGPT
2.2 Write basic automation scripts with Github Copilot
2.3 Learn prompt-engineering best practices for writing scripts
2.4 Exercise: Write a web-scraping script
2.5 Exercise: Load and modify a CSV file
Lesson 3: Using GenAI with Jupyter, Pandas, and More
3.1 Learn the basics of using Generative AI alongside Jupyter
3.2 Use AI to assist with data visualization
3.3 Use AI to assist with data analysis
3.4 Learn prompt-engineering best practices for data science
3.5 Exercise: Display data on a graph
3.6 Exercise: Clean some data
Lesson 4: Improving Python Web-Development with GenAI
4.1 Build simple Python servers with Generative AI
4.2 Use Generative AI to create templates
4.3 Learn prompt-engineering best practices for web development
4.4 Exercise: Create a REST API
4.5 Exercise: Create a server for blog articles
Lesson 5: Using GenAI for Test-Driven Development and Documentation
5.1 Write basic tests using Generative AI
5.2 Learn prompt-engineering best practices for Test-Driven Development
5.3 Use Generative AI to help with writing documentation
5.4 Exercise: Unit test basic functions
5.5 Exercise: Integration test API calls
Summary