The Python Workbook

The Python Workbook

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  • Author: Ben Stephenson
  • Publisher: Springer
  • ISBN: 3030188736
  • Category : Computers
  • Languages : en
  • Pages : 219

This student-friendly textbook encourages the development of programming skills through active practice by focusing on exercises that support hands-on learning. The Python Workbook provides a compendium of 186 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight a specific point of Python syntax. This enhanced new edition has been thoroughly updated and expanded with additional exercises, along with concise introductions that outline the core concepts needed to solve them. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python programming course. Features: uses an accessible writing style and easy-to-follow structure; includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines; presents the solutions to approximately half of the exercises; provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax; offers a variety of exercises of different lengths and difficulties; contains exercises that encourage the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions. Undergraduate students enrolled in their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.


Python Workbook for Absolute Beginners [Part 1]

Python Workbook for Absolute Beginners [Part 1]

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  • Author: Koding Success
  • Publisher: Koding Success
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 62

This workbook (which is the Part 1) has been specifically put together to help absolute beginners in Python to improve their programming skills. Contained in this eBook are over 70 questions and their answers/explanations on variables, strings, lists, tuples, operators, sets, if statements, loops, arrays, functions, and some other fundamental Python questions for beginners. So if you're an absolute beginner in the world of Python programming, you won't go wrong with making use of this workbook to improve your skills.


Python Networking Solutions Guide

Python Networking Solutions Guide

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  • Author: Tolga Koca
  • Publisher: BPB Publications
  • ISBN: 9355513577
  • Category : Computers
  • Languages : en
  • Pages : 388

Automate Your Network Configuration, Management, and Operation Tasks with Python KEY FEATURES ● Get familiar with the basics of network automation. ● Understand how to automate various network devices like Routers, Switches, Servers, and Firewalls. ● Learn how to create customized scripts to manage multiple devices using Python. DESCRIPTION Python is the de-facto standard for automated network operations nowadays. With the power of Python, network devices can be automated easily with basic scripts. Written in direct and intuitive language, this practical guide will help you to automate your network with Python. In this book, you will understand what network automation is precisely. The book will help you get familiar with the basics of the Python language. It will also help you learn how to monitor, maintain, and deploy configurations in network and system devices such as routers, switches, servers, and storage. The book will explain how to automate cloud infrastructures like AWS (Amazon Web Services) with Python. By the end of the book, you will be able to decrease your routine workload and improve productivity by automating your networking tasks. WHAT YOU WILL LEARN ● Get familiar and work with Python libraries like Paramiko and Netmiko. ● Write and deploy scripts to configure network devices such as Firewalls, Routers, and Switches. ● Understand how to use Python scripts for network security. ● Learn how to combine all micro scripts in the main Python script. ● Create, configure, operate, and maintain AWS services through Python scripts using Boto3. WHO THIS BOOK IS FOR This book is specially designed for system administrators, infrastructure automation engineers, IT engineers, and network engineers to leverage Python’s potential as an automation tool to centrally manage routers, servers, and cloud infrastructures in an organizational network and beyond. TABLE OF CONTENTS 1. Introduction to Network Automation 2. Python Basics 3. Python Networking Modules 4. Collecting and Monitoring Logs 5. Deploy Configurations in Network Devices 6. File Transfer and Plotting 7. Maintain and Troubleshoot Network Issues 8. Monitor and Manage Servers 9. Network Security with Python 10. Deploying Automation Software 11. Automate Cloud Infrastructures with Python


Foundations for Analytics with Python

Foundations for Analytics with Python

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  • Author: Clinton W. Brownley
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1491922508
  • Category : Business & Economics
  • Languages : en
  • Pages : 351

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments


Learn Autonomous Programming with Python

Learn Autonomous Programming with Python

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  • Author: Varun P Divadkar
  • Publisher: BPB Publications
  • ISBN: 9355517637
  • Category : Computers
  • Languages : en
  • Pages : 492

Unleash the hidden potential of Python to emerge as a change maker of contemporary industry KEY FEATURES ● Explore Python commands for RPA, workflows and hyperautomation. ● Concise chapters with lucid examples and elaborate codes that make learning interesting. ● Practical industry use case at the end of every chapter to highlight its real world application. DESCRIPTION The current industry (also called Industry 4.0) has witnessed an unprecedented expansion of technology in a short span of time, owing to an exponential increase in computational power coupled with internet technology. Consequently, domains like artificial intelligence, machine learning, deep learning and robotic process automation have gained prominence and become the backbone of organizations, making it inevitable for professionals to upgrade their skills in these domains. Orchestrate your work with AI and ML. Learn RPA's power, conduct web symphonies, utilize spreadsheets, and automate emails. You can also extract data from PDFs and images, choreograph applications, and play with deep learning. Design workflows, create hyperautomation finales, and combine Python with UiPath. You can further build a solid stage for your projects with PyScript, and continue with test automation. This book equips you to revolutionize your work, one Python script at a time. This book can be used as ready to reference as well as a user manual for quick solutions to common organizational needs and even for brushing up on key technical domain concepts. WHAT YOU WILL LEARN ● You will have a clear understanding of Python and create concise, flexible and maintainable applications for current industry needs. ● You will explore web scraping techniques using powerful libraries to extract valuable data from the web. ● You will have a high level overview of fundamentals in ML, deep learning, RPA, and hyperautomation. ● You will learn to write compact and maintainable code in Python catering to typical applications in contemporary industries. ● You will also learn how to apply your learnings to real world industry scenarios using the practical Python use cases presented at the end of each chapter. WHO THIS BOOK IS FOR This book is specifically meant for students and professionals who have prior working knowledge of Python from a basic to intermediate level and would want to expand their horizon of Python programming. TABLE OF CONTENTS 1. Why Python for Automation? 2. RPA Foundations 3. Getting Started with AI/ML in Python 4. Automating Web Scraping 5. Automating Excel and Spreadsheets 6. Automating Emails and Messaging 7. Working with PDFs and Images 8. Mechanizing Applications, Folders and Actions 9. Intelligent Automation Part 1: Using Machine Learning 10. Intelligent Automation Part 2: Using Deep Learning 11. Automating Business Process Workflows 12. Hyperautomation 13. Python and UiPath 14. Architecting Automation Projects 15. The PyScript Framework 16. Test Automation in Python


Python for Excel

Python for Excel

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  • Author: Felix Zumstein
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1492080977
  • Category : Business & Economics
  • Languages : en
  • Pages : 338

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot


Learning Python

Learning Python

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  • Author: Alberto Clerici
  • Publisher: EGEA spa
  • ISBN: 8823818257
  • Category : Computers
  • Languages : en
  • Pages : 299

«Everybody should learn to program a computer, because it teaches you how to think» – Steve Jobs


Python Programming On Win32

Python Programming On Win32

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  • Author: Mark Hammond
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1565926218
  • Category : Computers
  • Languages : en
  • Pages : 672

A demonstration of Python's basic technologies showcases the programming language's possiblities as a Windows development and administration tool.


Python Workbook

Python Workbook

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  • Author: Programming Languages Academy
  • Publisher:
  • ISBN: 9781653039296
  • Category :
  • Languages : en
  • Pages : 160

Can You Learn Python In A Fun And Practical Way? With This Book, You Can! Do you want to learn one of the most in-demand programming languages of today and start an exciting career in data science, web development, or another field of your choice? Learn Python! Python is easy to read because the code looks a lot like regular English, but don't let this simplicity deceive you: it's one of the most powerful and versatile programming languages out there! In fact, it powers many of your favorite websites and services, including Instagram, Spotify, and even Google! This book takes you on a practical journey through the amazing features of Python. Unlike books that focus on theoretical concepts only, this book will show you how Python is actually used - and encourage you to get creative! Here's what you'll find in this book: Practical programming exercises that will help you apply programming concepts to real-life situations Debugging exercises that will teach you to notice errors in Python code quickly Fun projects that will really test your knowledge and motivate you to practice even more Valuable tips for mastering Python quickly An answer key to check if you were right Learning the basics of any programming language may seem a bit boring at first, but once you've written your first program that really does something - even if it's just printing text on the screen - your excitement and motivation will become unstoppable and you'll yearn for more and more programming challenges that will hone your skills! This book is a perfect companion for any beginning Python programmer. If you've tried learning Python before but got discouraged by too much theory... this book is guaranteed to rekindle your interest in Python programming! Are you ready to start writing Python apps that really work? Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now!


Advanced Guide to Python 3 Programming

Advanced Guide to Python 3 Programming

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  • Author: John Hunt
  • Publisher: Springer Nature
  • ISBN: 3031403363
  • Category : Computers
  • Languages : en
  • Pages : 638

Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.