Python自动化秘籍：提升业务效率

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"《自动化一切》是一本专为想要通过Python提升业务流程效率的专业人士打造的指南。本书提供了一系列实用的Python编程“配方”，帮助读者理解和掌握如何利用Python的强大功能自动化日常繁琐的工作任务，如处理Web、电子表格、演示文稿和PDF文件。作者采用问题解决和实际案例的方法，引导读者从基础模块开始，如与Web交互、工作簿操作、演示文稿制作以及PDF处理，进而深入到人力资源（如自动薪资计算）、财务管理以及人工智能应用（如聊天机器人和计算机视觉）。书中章节涵盖了如何利用RESTful APIs和Webhooks实现自动化，例如使用Python操作Twitter API发布自动化推文。此外，作者还展示了Python在云通信领域的应用，包括短信和语音通知的管理，这对于企业解决日常需求具有革命性意义。通过学习如何操作API、Webhooks和电子邮件，读者可以自动化营销和客户服务流程，进一步提高效率。本书的另一个重点是数据处理和分析，通过Python库进行数据定制和报告生成，帮助企业满足特定业务需求。读者将学习如何进行数据过滤和可视化，从而获得有价值的数据洞察。《自动化一切》是一本实用且全面的教程，旨在帮助读者提升技能，让他们的业务流程受益于Python的各种应用。无论是初学者还是经验丰富的开发者，都能在本书中找到适合自己的自动化解决方案，让工作流程更加高效，如同置身于自动化驾驶的未来世界。同时，尽管版权保护严格，但全书信息力求准确，但读者需自行承担使用信息可能带来的风险。"

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Chapter 9: Imagining Images

268

Introduction

268

Image attributes

269

Converting images

270

How to do it…

271

How it works…

276

There's more…

277

Resizing, cropping, and generating thumbnails

277

Getting ready

278

How to do it…

278

How it works…

281

There's more…

282

Copy-pasting and watermarking images

282

Getting ready

283

How to do it…

283

How it works…

286

Image differences and comparison

287

Getting ready

287

How to do it…

289

How it works…

291

There's more…

291

Face detection

292

Getting ready

292

How to do it…

293

How it works…

294

There's more…

295

Imaging as a business process

295

Getting ready

296

How to do it…

298

How it works…

302

There's more…

303

Chapter 10: Data Analysis and Visualizations

304

Introduction

304

Steps to data-based decision making

305

Reading, selecting, and interpreting data with visualizations

308

How to do it…

310

How it works…

318

Generating insights using data filtering and aggregation

319

Preface

Business process automation is the technology-enabled automation of activities that

accomplish a specific function or workflow. It is an organizational transformation that aims

to drive process efficiency, consistency, and repeatability. Many business processes, such as

HR onboarding, lead management, financial reports, and invoicing, among others, can be

easily automated to achieve these goals across the organization using Python modules.

The Python recipes covered in the chapters of this book will help you gain knowledge and

encourage you to think of automating your business flows. With a classical problem-solving

pattern, we look at different areas, such as HR, marketing, customer support, and many

more, where we can automate and innovate with the help of Python recipes.

What this book covers

Chapter 1, Working with the Web, talks about the interesting world of the World Wide Web

and covers the numerous ways in which one can interact with the Web using Python

modules.

It starts by covering the basics of HTTP Web requests and slowly takes the readers to more

advanced topics such as web scraping and downloading content from the Web. The chapter

also equips you with writing your own asynchronous web servers and helps you

understand and build web automation.

In the last section, the chapter helps you automate lead generation--a classical situation that

marketers face on a regular basis--using Python recipes.

Chapter 2, Working with CSV and Excel Worksheets, takes you through Python recipes that

will help you simplify and automate redundant tasks with CSV and Excel sheets. Until

computers became a daily part of our lives, office records were stored in files and managed

on office desks. Thanks to the world of Excel sheets we can manage our data in a much

better way.

The first part of this chapter helps you perform read/write operations on CSV files. It also

helps you write your own CSV dialects. Don’t know what we mean by dialects? Well, find it

out in this chapter! You will also learn how to automate the management of employee

information, an integral part of HR processes, with CSV files and Python code.

Preface

[ 2 ]

The second part of the chapter equips you with the knowledge of performing operations

such as retrieving and inserting data in Excel worksheets. It also covers some advanced

operations, such as formatting cells, performing mathematical tasks with formulas, and

inserting charts. Lastly, with a nice example, it explains how you could automate the

income statement analysis across different years for a finance team.

Chapter 3, Getting Creative with PDF Files and Documents, talks about how Word documents

and PDF files have become some of the most commonly used file formats by business

professionals and how you can automate mundane tasks in PDFs and Word documents

using Python. Want to send an invoice to your customer or send a set of requirements to

your vendor? Businesses often end up using PDF files and Word documents for such needs.

This chapter starts by covering operations that you can perform with PDF files using

Python recipes. You will gain knowledge on generating and reading PDF files, copying

them, and even manipulating them to build your own header and footer formats. Do you

know you can merge many PDF files with a simple Python recipe? Would you like to

automate the process of generating pay slips for your organization? Sounds interesting?

Then this chapter is definitely for you!

This chapter also takes you on a journey of working with Word documents. It helps you

build knowledge on reading and writing data into Word files. Adding tables, images,

charts; you name it, and this chapter covers it. If that’s not enough, this chapter also takes

an example from HR processes and helps you build a customized new-hire orientation

program schedule for new employees based on their Business Unit.

Chapter 4, Playing with SMS and Voice Notifications, opens up a whole new world of

automation with SMS and voice notifications. It starts with a nice introduction to cloud

telephony and covers its practical use cases.

In the initial section of this chapter, we discuss how SMS text messages are useful in certain

situations. You will learn how to send SMS messages and receive incoming texts with

Python recipes. The section on SMS notifications ends by showing how one could automate

a customer service process for a Domino’s Pizza store.

The chapter also covers voice notifications in detail; you will be familiarized with voice

workflows, such as sending voice messages and receiving incoming voice calls with Python

code snippets. And did you know you could automate customer support by building our

own contact center? Interested? You've got to take a look at this chapter.

Preface

[ 3 ]

Chapter 5, Fun with E-mails, covers interesting Python recipes, such as sending e-mail

messages, beautifying e-mail content with MIME, and even working with attachments. E-

mails have been ubiquitous for the last 2-3 decades; you see them everywhere! You are so

used to working with them and for so many reasons. But did you ever realize you could

manipulate your inbox with Python snippets?

This chapter will also help you fetch and read e-mail conversations and clear up your inbox

by deleting messages. Interested in adding labels to select messages, or would you like to

understand more about e-mail encryption? Well, this chapter covers it for you. And, of

course, the chapter ends with an example of automating customer support flows with a

Python recipe.

Chapter 6, Presentations and More, explores the various ways in which you can generate

presentations of your own in an automated way using Python. This chapter shows how you

can create a new presentation and add content or slides to it. It also shows you ways of

reading or updating existing presentations and inserting charts, tables, and

pictures—basically, all the operations you need. And, of course, we automate a weekly sales

report for a sales manager using Python recipes. This one’s dedicated to all the sales

managers out there.

Chapter 7, Power of APIs, takes you on a journey to the interesting world of APIs. APIs are a

critical part of the World Wide Web today. Talking across services, sharing information,

and many other operations rely on APIs and Webhooks.

The chapter starts with an introduction to REST APIs, covers the fundamentals of the REST

philosophy, and provides you with the knowledge required to develope your own APIs. It

also shows how you could automate the scheduling of product updates on social media--an

essential use case for marketing teams--with Python recipes and Twitter REST APIs.

In the next section, the chapter covers Webhooks, a critical aspect of the Web today. It helps

you implement Webhooks and manifests how a business professional can leverage Web

hooks to automate lead management using Python recipes.

Chapter 8, Talking to Bots, takes you to the brand new world of bots. It starts by classifying

bots based on their capabilities and shows how you could build and use bots on apps such

as Telegram.

The chapter also gives you a brief introduction to the concepts of stateless and stateful, and

it gives you the taste of integrating artificial intelligence algorithms in bots. In the end, the

chapter takes an example of a book publishing website and shows how bots can be used to

achieve relevant interactions with customers--a problem that the customer success teams

deal with on a day-to-day basis.

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