Enterprise Automation with Python: Automate Excel, Web, Documents, Emails, and Various Workloads with Easy-to-code Python Scripts
()
About this ebook
This book gives solutions to everyday automation needs and repetitive tasks at work every day. Readers will be able to discover the most typical business process that can be automated and write simple Python scripts to turn them automated. This book will teach you how to create, read, change, and extract data from Excel documents using Python programming. Readers can extract data from websites, PDF documents, Gmail, Outlook, and WhatsApp chats. Text extraction from photos and scanned documents is also smartly accomplished in this book.
The final section will examine techniques for extending your Python scripting skills and constructing complicated end-to-end process automation. Throughout the book, readers will be utterly captivated by how to automate their tedious tasks and enhance their organisations' productivity by 500 percent.
Related to Enterprise Automation with Python
Related ebooks
Python Tools for Visual Studio Rating: 0 out of 5 stars0 ratingsHands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python Rating: 0 out of 5 stars0 ratingsPython Web Scraping - Second Edition Rating: 5 out of 5 stars5/5Modular Programming with Python Rating: 0 out of 5 stars0 ratingsPython In - Depth: Use Python Programming Features, Techniques, and Modules to Solve Everyday Problems Rating: 0 out of 5 stars0 ratingsPower BI Data Modeling: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models Rating: 0 out of 5 stars0 ratingsPython GUI Programming Cookbook - Second Edition Rating: 5 out of 5 stars5/5Hands-On Machine Learning with Microsoft Excel 2019: Build complete data analysis flows, from data collection to visualization Rating: 0 out of 5 stars0 ratingsPython Unlocked Rating: 0 out of 5 stars0 ratingsPythonic AI: A beginner's guide to building AI applications in Python (English Edition) Rating: 5 out of 5 stars5/5The Ultimate Python Programming Guide For Beginner To Intermediate Rating: 5 out of 5 stars5/5Advance Core Python Programming: Begin your Journey to Master the World of Python (English Edition) Rating: 4 out of 5 stars4/5Getting Started with Python Data Analysis Rating: 0 out of 5 stars0 ratingsPython for Professionals Rating: 0 out of 5 stars0 ratingsPython for Developers Rating: 0 out of 5 stars0 ratingsMastering Python Design Patterns Rating: 0 out of 5 stars0 ratingsPython Made Simple: Learn Python programming in easy steps with examples Rating: 5 out of 5 stars5/5
Programming For You
Python: For Beginners A Crash Course Guide To Learn Python in 1 Week Rating: 4 out of 5 stars4/5Python Programming : How to Code Python Fast In Just 24 Hours With 7 Simple Steps Rating: 4 out of 5 stars4/5HTML & CSS: Learn the Fundaments in 7 Days Rating: 4 out of 5 stars4/5Java for Beginners: A Crash Course to Learn Java Programming in 1 Week Rating: 5 out of 5 stars5/5SQL: For Beginners: Your Guide To Easily Learn SQL Programming in 7 Days Rating: 5 out of 5 stars5/5SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL Rating: 4 out of 5 stars4/5Learn to Code. Get a Job. The Ultimate Guide to Learning and Getting Hired as a Developer. Rating: 5 out of 5 stars5/5Coding All-in-One For Dummies Rating: 4 out of 5 stars4/5Python Machine Learning By Example Rating: 4 out of 5 stars4/5101 Amazing Nintendo NES Facts: Includes facts about the Famicom Rating: 4 out of 5 stars4/5Pokemon Go: Guide + 20 Tips and Tricks You Must Read Hints, Tricks, Tips, Secrets, Android, iOS Rating: 5 out of 5 stars5/5Linux: Learn in 24 Hours Rating: 5 out of 5 stars5/5Grokking Algorithms: An illustrated guide for programmers and other curious people Rating: 4 out of 5 stars4/5Learn SQL in 24 Hours Rating: 5 out of 5 stars5/5SQL All-in-One For Dummies Rating: 3 out of 5 stars3/5Excel : The Ultimate Comprehensive Step-By-Step Guide to the Basics of Excel Programming: 1 Rating: 5 out of 5 stars5/5PYTHON: Practical Python Programming For Beginners & Experts With Hands-on Project Rating: 5 out of 5 stars5/5Modern C++ for Absolute Beginners: A Friendly Introduction to C++ Programming Language and C++11 to C++20 Standards Rating: 0 out of 5 stars0 ratingsPython Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming Rating: 0 out of 5 stars0 ratings
Reviews for Enterprise Automation with Python
0 ratings0 reviews
Book preview
Enterprise Automation with Python - Ambuj Agrawal
CHAPTER 1
Setting Up the Automation Environment
Introduction
In this chapter, you will be introduced to the installation steps and setting up the development environment for Python. We will also cover the installation of Python packages and libraries required for building automations.
Structure
In this chapter, we will cover the following topics:
Installing and getting started with Mu for Python 3
Installing third party packages with Mu
Objectives
After studying this chapter, you will be able to set the automation environment on your machine. You will also get an understanding of Python development environments and be able to run Python on your machine.
Installing and getting started with Mu for Python 3
The code with Mu is a simple Python editor for beginner programmers. Download Mu installer from https://codewith.mu/en/download. Find the installer you just downloaded (it’s probably in your Downloads folder). Double click on the installer to run it. If you get any warning while installing, accept those warnings and run the installer. Once the installation has completed successfully, click on Finish to close the installer.
Start Mu
You can start Mu by clicking on the icon in the Start menu or by typing Mu in the Search box. The first run will take a bit of time, and it will install and load all the required modules. Once you have started Mu, the code editor will look as shown in the following figure:
Figure 1.1: Mu code editor
The button bar in Mu contains buttons for creating and running the Python code along with the help instructions:
Figure 1.2: Mu code editor toolbar
The following are the button descriptions to help you get started with Mu:
The Mode button is used for changing Mu modes. We will use the Python 3Mode in this book:
Figure 1.3: Mu change mode view
The New, Load, and Save allow you to interact with files on your computer’s hard drive:
New: This creates a new blank file.
Load: This opens a file selector to choose a file to load into Mu.
Save: This saves the file to your computer’s hard drive. If the file has no name, you’ll be asked to give one.
The Run button runs the current script. When the code is running, the Run button turns into a Stop button. Click on Stop to force your code to exit in a clean way.
The Debug button will start Mu’s visual debugger allowing you to debug Python programs.
The REPL button creates a new panel and the code you type here is evaluated line by line by Python.
You can learn more about the Mu editor from the Mu tutorial page - https://codewith.mu/en/tutorials/1.1/.
If you are an experienced programmer, then you can also use other Python code editing tools such as PyCharm, VS Code, Jupyter notebook, or any other code editor tool that works for you.
Installing third party packages with Mu
In this book, we will use a lot of third party packages to complete our automation scripts. Packages (sometimes called libraries or modules) are re-usable code that you can download, install, and use in your programs. They reduce the development time exponentially as you don’t have to rewrite the code to achieve the same functionality in your project.
One of the main advantages of Python is that they have a huge collection of packages that allow you to achieve the desired functionality in your programs.
Mu comes with its own package installer which will download the code from the Python Package Index pypi.org and install it so that you can use it in your Mu