Overview
The Python Automation Cookbook equips you with 75 practical recipes to automate repetitive tasks in business and data processing. With updated content aligned to Python 3.8 and above, this book introduces you to automating web scraping, creating email campaigns, generating reports, and even harnessing automation within AI and data science projects.
What this Book will help me do
- Master automation of web scraping tasks with Python libraries like Beautiful Soup.
- Process and analyze data using Pandas, and visualize it compellingly with Matplotlib.
- Develop workflows to automate email campaigns, report generation, and document handling like encrypting PDFs.
- Delve into automating processes for machine learning projects, from data cleaning to predictive modeling.
- Understand and implement cron jobs and maintain task logs for efficient automation workflows.
Author(s)
Jaime Buelta has extensive experience working with Python across various domains including automation, web scraping, and data processing. He enjoys sharing his knowledge and approach to real-world problems as an author, focusing on practical examples and solution-oriented programming. Jaime brings a fresh perspective to teaching Python automation, ensuring clarity and engagement.
Who is it for?
This book is ideal for developers, data scientists, and business professionals ranging from novices to those with intermediate Python skills. If you want to save time by automating repetitive computing tasks, improve your workflows, or learn to implement automation in areas like business, machine learning, and data analytics, this book is for you.
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