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دانلود کتاب Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more

دانلود کتاب کتاب آشپزی اتوماسیون پایتون: ۷۵ ایده اتوماسیون پایتون برای خراش دادن وب، بحث و جدل داده‌ها و پردازش اکسل، گزارش‌ها، ایمیل‌ها و موارد دیگر

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more

مشخصات کتاب

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more

ویرایش: [2 ed.] 
نویسندگان:   
سری:  
ISBN (شابک) : 1800207085, 9781800207080 
ناشر: Packt Publishing 
سال نشر: 2020 
تعداد صفحات: 526
[527] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 9 Mb 

قیمت کتاب (تومان) : 31,000



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در صورت تبدیل فایل کتاب Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب کتاب آشپزی اتوماسیون پایتون: ۷۵ ایده اتوماسیون پایتون برای خراش دادن وب، بحث و جدل داده‌ها و پردازش اکسل، گزارش‌ها، ایمیل‌ها و موارد دیگر نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب کتاب آشپزی اتوماسیون پایتون: ۷۵ ایده اتوماسیون پایتون برای خراش دادن وب، بحث و جدل داده‌ها و پردازش اکسل، گزارش‌ها، ایمیل‌ها و موارد دیگر


توضیحاتی درمورد کتاب به خارجی

Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higher

Key Features

  • 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

Book 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

Who this book is for

Python 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 Contents

  1. Let's Begin Our Automation Journey
  2. Automating Tasks Made Easy
  3. Building Your First Web Scraping Application
  4. Searching and Reading Local Files
  5. Generating Fantastic Reports
  6. Fun with Spreadsheets
  7. Cleaning and Processing Data
  8. Developing Stunning Graphs
  9. Dealing with Communication Channels
  10. Why Not Automate Your Marketing Campaign?
  11. Machine Learning for Automation
  12. Automatic Testing Routines
  13. Debugging Techniques


فهرست مطالب

Cover
Copyright
Packt Page
Contributors
Table of Contents
Preface
Chapter 1: Let's Begin Our Automation Journey
	Activating a virtual environment
	Installing third-party packages
	Creating strings with formatted values
	Manipulating strings
	Extracting data from structured strings
	Using a third-party tool—parse
	Introducing regular expressions
	Going deeper into regular expressions
	Adding command-line arguments
Chapter 2: Automating Tasks Made Easy
	Preparing a task
	Setting up a cron job
	Capturing errors and problems
	Sending email notifications
Chapter 3: Building Your First Web Scraping Application
	Downloading web pages
	Parsing HTML
	Crawling the web
	Subscribing to feeds
	Accessing web APIs
	Interacting with forms
	Using Selenium for advanced interaction
	Accessing password-protected pages
	Speeding up web scraping
Chapter 4: Searching and Reading Local Files
	Crawling and searching directories
	Reading text files
	Dealing with encodings
	Reading CSV files
	Reading log files
	Reading file metadata
	Reading images
	Reading PDF files
	Reading Word documents
	Scanning documents for a keyword
Chapter 5: Generating Fantastic Reports
	Creating a simple report in plain text
	Using templates for reports
	Formatting text in Markdown
	Writing a basic Word document
	Styling a Word document
	Generating structure in Word documents
	Adding pictures to Word documents
	Writing a simple PDF document
	Structuring a PDF
	Aggregating PDF reports
	Watermarking and encrypting a PDF
Chapter 6: Fun with Spreadsheets
	Writing a CSV spreadsheet
	Updating CSV files
	Reading an Excel spreadsheet
	Updating an Excel spreadsheet
	Creating new sheets in an Excel spreadsheet
	Creating charts in Excel
	Working with cell formats in Excel
	Creating a macro in LibreOffice
Chapter 7: Cleaning and Processing Data
	Prepare a CSV spreadsheet
	Append currency based on location
	Standardize the date format
	Aggregate results
	Process data in parallel
	Process data with Pandas
Chapter 8: Developing Stunning Graphs
	Plotting a simple sales graph
	Drawing stacked bars
	Plotting pie charts
	Displaying multiple lines
	Drawing a scatter plot
	Visualizing maps
	Adding legends and annotations
	Combining graphs
	Saving charts
Chapter 9: Dealing with Communication Channels
	Working with email templates
	Sending an individual email
	Reading an email
	Adding subscribers to an email newsletter
	Sending notifications via email
	Producing SMS messages
	Receiving SMS
	Creating a Telegram bot
Chapter 10: Why Not Automate Your Marketing Campaign?
	Introduction
	Detecting opportunities
	Creating personalized coupon codes
	Sending a notification to a customer on their preferred channel
	Preparing sales information
	Generating a sales report
Chapter 11: Machine Learning for Automation
	Introduction
	Analyse images with Google Cloud Vision AI
	Extract text from images with Google Cloud Vision AI
	Analyse text with Google Cloud Natural Language
	Create your own custom machine learning model to classify text
Chapter 12: Automatic Testing Routines
	Introduction
	Write and execute test cases
	Test external code
	Test using dependency mocking
	Test using HTTP call mocking
	Prepare testing scenarios
	Run tests selectively
Chapter 13: Debugging Techniques
	Introduction
	Learning Python interpreter basics
	Debugging through logging
	Debugging with breakpoints
	Improving your debugging skills
Other Books You
May Enjoy
Index




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