Python Automation Cookbook: 75 Python automation suggestions for web scraping, information wrangling, handling Excel, reports, e-mails, a lot more
- Length: 517 pages
- Edition: 1
- Language: English
- Publication Date: 2022-03-21
In this upgraded and also extended version of Python Automation Recipe book, each chapter now comprises the most recent dishes and also is modified to straighten with Python 3.8 as well as greater. Guide consists of three brand-new phases that concentrate on using Python for examination automation, artificial intelligence tasks, and also for collaborating with unpleasant data.
This edition will certainly allow you to create a sharp understanding of the fundamentals needed to automate company procedures with real-world jobs, such as establishing your first web scuffing application, examining info to produce spread sheet records with charts, as well as communicating with automatically created e-mails.
As soon as you comprehend the fundamentals, you will obtain the functional expertise to produce magnificent charts and graphes utilizing Matplotlib, generate abundant graphics with relevant info, automate advertising and marketing campaigns, develop artificial intelligence jobs, as well as implement debugging methods.
By the end of this book, you will certainly excel in recognizing tedious tasks as well as solving procedure inadequacies to generate remarkable and reputable systems.
What you will discover
- Learn data wrangling with Python and also Pandas for your data scientific research and also AI projects
- Automate jobs such as message classification, e-mail filtering, as well as web scuffing with Python
- Usage Matplotlib to produce a range of sensational charts, charts, as well as maps
- Automate a variety of record generation tasks, from sending out SMS and also e-mail campaigns to developing layouts, including images in Word, as well as also securing PDFs
- Master internet scraping and web crawling of preferred file layouts and directories with tools like Gorgeous Soup
- Develop trendy tasks such as a Telegram crawler for your advertising and marketing campaign, a viewers from a news RSS feed, and also a maker finding out version to identify emails to the appropriate division based on their content
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