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Generative AI for Python Developers (Video Course)

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Description

  • Copyright 2025
  • Edition: 1st
  • Online Video
  • ISBN-10: 0-13-535705-5
  • ISBN-13: 978-0-13-535705-7

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.

DISCLAIMER: Unless otherwise indicated herein, any third-party trademarks that may appear in this work are the property of their respective owners and any references to third party trademarks, logos or other trade dress are for demonstrative or descriptive purposes only. Such references are not intended to imply any sponsorship, endorsement, authorization, or promotion of Pearson Education, Inc., products by the owners of such marks, or any relationship between the owner and Pearson Education, Inc. or its affiliates, authors, licensees or distributors.

Skill Level:

  • Beginner-Intermediate

Learn How To:

  • Unlock the full potential of Python development by integrating cutting-edge Generative AI tools into your workflow.
  • Build Python scripts, web applications, and data analysis projects using the power of Generative AI tools, such as ChatGPT and GitHub Copilot
  • Grasp the fundamentals of prompt-engineering for different development situations, enabling you to generate code that meets your requirements.
  • Perform data manipulation, visualization, and analysis tasks in Jupyter notebooks with AI assistance.

Course requirement:

  • Knowledge of Python Basics

Who Should Take This Course:

  • Python Developer
  • Django Developer
  • Data Scientist
  • Software Engineer

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.

Sample Content

Table of Contents

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

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