Python Automation Cookbook:75 Python automation ideas for web scraping,data wrangling,and processing Excel,reports,emails,and more,2nd Edition
pages 页数：526 pages
Publisher Finelybook 出版社：Packt Publishing; 2nd edition edition (29 May 2020)
Get a firm grip on the core processes including browser automation,web scraping,Word,Excel,and GUI automation with Python 3.8 and higher
In this updated and extended version of Python Automation Cookbook,each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation,machine learning projects,and for working with messy data.
This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks,such as developing your first web scraping application,analyzing information to generate spreadsheet reports with graphs,and communicating with automatically generated emails.
Once you grasp the basics,you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib,generate rich graphics with relevant information,automate marketing campaigns,build machine learning projects,and execute debugging techniques.
By the end of this book,you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems.
What you will learn
Learn data wrangling with Python and Pandas for your data science and AI projects
Automate tasks such as text classification,email filtering,and web scraping with Python
Use Matplotlib to generate a variety of stunning graphs,charts,and maps
Automate a range of report generation tasks,from sending SMS and email campaigns to creating templates,adding images in Word,and even encrypting PDFs
Master web scraping and web crawling of popular file formats and directories with tools like Beautiful Soup
Build cool projects such as a Telegram bot for your marketing campaign,a reader from a news RSS feed,and a machine learning model to classify emails to the correct department based on their content
Create fire-and-forget automation tasks by:writing cron jobs,log files,and regexes with Python scripting