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26629884
Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more
87% of respondents would recommend this to a friend
Item #:
26629884
€ 45
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Python Automation Cookbook offers 75 automation ideas for data wrangling, web scraping, and report generation using Python 3.8+.
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What Stands Out
Comprehensive Recipes
Offers 75 meticulously crafted Python recipes, covering web scraping, data wrangling, and Excel processing to enhance automation skills effectively.
Second Edition Updates
Includes the latest Python techniques and practices, ensuring readers stay current with modern automation solutions, improving efficiency in tasks.
Practical Applications
Focuses on real-world automation challenges, providing hands-on solutions that save time and streamline workflows for both beginners and experienced programmers.
Product Details
- Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higherKey FeaturesAutomate integral business processes such as report generation, email marketing, and lead generationExplore automated code testing and Python’s growth in data science and AI automation in three new chaptersUnderstand techniques to extract information and generate appealing graphs, and reports with MatplotlibBook DescriptionIn 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 learnLearn data wrangling with Python and Pandas for your data science and AI projectsAutomate tasks such as text classification, email filtering, and web scraping with PythonUse Matplotlib to generate a variety of stunning graphs, charts, and mapsAutomate a range of report generation tasks, from sending SMS and email campaigns to creating templates, adding images in Word, and even encrypting PDFsMaster web scraping and web crawling of popular file formats and directories with tools like Beautiful SoupBuild 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 contentCreate fire-and-forget automation tasks by writing cron jobs, log files, and regexes with Python scriptingWho this book is forPython Automation Cookbook - Second Edition is for developers, data enthusiasts or anyone who wants to automate monotonous manual tasks related to business processes such as finance, sales, and HR, among others. Working knowledge of Python is all you need to get started with this book.Table of ContentsLet's Begin Our Automation JourneyAutomating Tasks Made EasyBuilding Your First Web Scraping ApplicationSearching and Reading Local FilesGenerating Fantastic ReportsFun with SpreadsheetsCleaning and Processing DataDeveloping Stunning GraphsDealing with Communication ChannelsWhy Not Automate Your Marketing Campaign?Machine Learning for AutomationAutomatic Testing RoutinesDebugging Techniques
| Publisher | Packt Publishing |
| Publication date | May 29, 2020 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 526 pages |
| ISBN-10 | 1800207085 |
| ISBN-13 | 978-1800207080 |
| Item Weight | 1.97 pounds (890 grams) |
| Dimensions | 7.5 x 1.19 x 9.25 inches (19.1 x 3 x 23.5 cm) |
Who Should Buy?
-
Data Analysts
Ideal for analysts looking to automate data extraction, cleaning, and reporting tasks efficiently using Python.
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Web Scrapers
Perfect for developers interested in scraping web data, with practical examples to ease the learning curve.
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Excel Users
Beneficial for Excel users seeking to extend their automation skills with Python for better data manipulation.
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Beginners
Not ideal for complete beginners with no coding experience, as some programming knowledge is required.
Product Description
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Data Processing Editorial Review
The Python Automation Cookbook, 2nd Edition is a book that serves as a starting point for those trying to automate their tasks using Python. Some reviewers found it to be very basic and only useful for beginners. However, it also has some useful ideas for everyday tasks that can be automated. The absence of steps for Windows systems and the lack of a table of contents is a downside for some readers, and one reviewer found it too expensive for what it offers. While it may not be the most comprehensive reference on Python automation, it has something to offer for those wanting to explore automation ideas.
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Pros
- Good starting point for Python automation beginners.
- Contains useful ideas for automating everyday tasks.
Cons
- Lacks comprehensive information on Python automation.
Product Price History
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€ 45
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Features & Benefits
- Contains 75 recipes for automating business processes with Python 3.8 and higher
- Includes new chapters focused on automated code testing and machine learning
- Teaches you how to create stunning graphs, automate marketing campaigns, and build machine learning projects
- Ideal for developers, data enthusiasts, or anyone seeking to automate manual tasks
- Requires no prior knowledge beyond a working understanding of Python
- Improves efficiency and reliability of business systems
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