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Key benefits

Automate integral business processes such as report generation, email marketing, and lead generation

Explore automated code testing and Python’s growth in data science and AI automation in three new chapters

Understand techniques to extract information and generate appealing graphs, and reports with Matplotlib

Description

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

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Download this book in EPUB and PDF formats

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Frequently bought together

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40 Algorithms Every Programmer Should Know

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Total € 142.97

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Amazon verified reviews

Kindle Customer Aug 14, 2022

I spent alot time to just try to understand the codes example. While the main purpose is just to think about new ideas how to automate my tasks

Amazon Verified review

Gaurav Jun 24, 2021

I'm very disappointed that I bought this book. the author didn't include steps for windows systems which are used by more than 90 percent of the planet. Also as far as the book is concerned,m the author didn't even care to create a table of contents for easy navigation of the book. Totals waste of money and I hope Amazon gives an option to return ebooks which are below standards.

Mukesh Sep 04, 2020

The explanation is not very clear. This is clearly not a book for a beginner in Python. Most of the stuff mentioned here will be easily available in a google search and the book doesn't add value to that search. The biggest drawback however was the price - extremely high.

Michael Corley Jul 30, 2020

This book is very, very, basic, just from skimming it. It's more useful as a check list for little every day things that you can automate than an authoritative reference on automation in Python. If you are real beginner at Python you'll find it useful for some quick automation win's.In terms of price it's actually really expensive to pay even the 17-18 dollars for what you get. Don't bother getting a hard copy. After thumbing through it I was a little disappointed that I paid so much for it. Regardless, it's in my library now so i'll just have to live with it.

Stephan Miller Jun 22, 2020

This book has a lot of information. First it shows you how to set up a Python environment for automation, including installing Python, setting up cron jobs to run your tasks on schedule, and adding notifications so you can get details on your jobs delivered to your email.And then it gets interesting. This book differs slightly from other cookbooks I have read that just list a bunch of small coding examples to do specific things. These recipes build on each other and can be mixed and matched to automate a process you are doing manually.The topics covered are web scraping, file processing, report generation, spreadsheet manipulation, data processing and cleaning, graph and chart generation, communication, marketing automation, machine learning, code testing and debugging. You will definitely find enough examples here to automate any process you may have and free up time.

Python Automation Cookbook: 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing , Second Edition

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