Download or read book Python Lab1 Excel Openpyxl written by Cathy Young and published by Independently Published. This book was released on 2019-11-30 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: #1 New Release Color Edition (7x10). Are you curious about the Python language and wondering how to read and write Excel files? This book is a hands-on lab with simple code examples that perform one basic task: compare two Excel files and output an Excel file of differences. At the end of the lab, you will know enough about Python to work with your own Excel files, even if you're new to Python or programming. My examples use the free Anaconda data science platform Python 3.7, running on a Windows computer, utilizing the Spyder application. The step-by-step examples walk through each line of code, with screenshots of the corresponding Excel files so you can follow along as the program moves through the code. In the course of the lab, you'll learn these Python concepts. 1. What is a Library? 2. Comments 3. Strings, Types, Tuples, and Variables4. If...else statements for comparing data5. While loops for working with rows of Excel data6. Working with the file system (files/directories)7. Creating functions and importing them into your main code file8. Working with Excel files using openpyxl The lab has two parts. Part 1 accomplishes the basic tasks to compare the two Excel files. I think of this as the core code that gets the job done. Part 2 adds some nice-to-have features. Format headings and column widths in the output Excel file Search for strings and substrings Find New Items or Retired Items Compare Dates Delete Rows Delete Worksheets Check if the output Excel file already exists in your filesystem, and delete it if it does exist Create functions and call them from your main code file. Please note, I don't attempt to cover all aspects of Python, only those concepts needed to complete this lab. If you said, "Show me what I need to start using Python with Excel files" this lab answers that simple question. After you complete the lab, you'll definitely be able to say you can program in Python. Python is really powerful, and I hope you enjoy the lab and want to continue to expand your Python skills in the future. In my opinion, a working code example takes all the guesswork out of programming, leaving just the fun of learning something new. You don't have to wonder if you have the correct indentation, your counter is in the right place, or if you forgot the colon at the end of the line when you defined your function. Are you ready? Let's get started!

Download or read book Python Lab1 Excel Openpyxl written by R. Zimmerman and published by . This book was released on 2019-11-24 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: #1 New Release Black and White Edition. Are you curious about the Python language and wondering how to read and write Excel files? This book is a hands-on lab with simple code examples that perform one basic task: compare two Excel files and output an Excel file of differences. At the end of the lab, you will know enough about Python to work with your own Excel files, even if you're new to Python or programming. My examples use the free Anaconda data science platform Python 3.7, running on a Windows computer, utilizing the Spyder application. The step-by-step examples walk through each line of code, with screenshots of the corresponding Excel files so you can follow along as the program moves through the code. In the course of the lab, you'll learn these Python concepts. 1. What is a Library? 2. Comments 3. Strings, Types, and Variables 4. If...else statements for comparing data 5. While loops for working with rows of Excel data 6. Working with the file system (files/directories) 7. Creating functions and importing them into your main code file 8. Working with Excel files using openpyxlThe lab has two parts. Part 1 accomplishes the basic tasks to compare the two Excel files. I think of this as the core code that gets the job done. Part 2 adds some nice-to-have features. * Format headings and column widths in the output Excel file* Search for strings and substrings * Find New Items or Retired Items * Compare Dates * Delete Rows * Delete Worksheets * Check if the output Excel file already exists in your filesystem, and delete it if it does * Create functions and call them from your main code file. Please note, I don't attempt to cover all aspects of Python, only those concepts needed to complete this lab. If you said, "Show me what I need to start using Python with Excel files" this lab answers that simple question. After you complete the lab, you'll definitely be able to say you can program in Python. Python is really powerful, and I hope you enjoy the lab and want to continue to expand your Python skills in the future.In my opinion, a working code example takes all the guesswork out of programming, leaving just the fun of learning something new. You don't have to wonder if you have the correct indentation, your counter is in the right place, or if you forgot the colon at the end of the line when you defined your function. Are you ready? Let's get started!

Download or read book Python Lab1 Excel Openpyxl written by R. L. Zimmerman and published by . This book was released on 2019-12-24 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: #1 New Release Also see my Python Debugging Handbook!. Are you curious about the Python language and wondering how to read and write Excel files? This book is a hands-on lab with simple code examples that perform one basic task: compare two Excel files and output an Excel file of differences. At the end of the lab, you will know enough about Python to work with your own Excel files, even if you're new to Python or programming. My examples use the free Anaconda data science platform Python 3.7, running on a Windows computer, utilizing the Spyder application. The step-by-step examples walk through each line of code, with screenshots of the corresponding Excel files so you can follow along as the program moves through the code. In the course of the lab, you'll learn these Python concepts. 1. What is a Library? 2. Comments 3. Strings, Types, Tuples, and Variables4. If...else statements for comparing data5. While loops for working with rows of Excel data6. Working with the file system (files/directories)7. Creating functions and importing them into your main code file8. Working with Excel files using openpyxl The lab has two parts. Part 1 accomplishes the basic tasks to compare the two Excel files. I think of this as the core code that gets the job done. Part 2 adds some nice-to-have features. Format headings and column widths in the output Excel file Search for strings and substrings Find New Items or Retired Items Compare Dates Delete Rows Delete Worksheets Check if the output Excel file already exists in your filesystem, and delete it if it does exist Create functions and call them from your main code file. Please note, I don't attempt to cover all aspects of Python, only those concepts needed to complete this lab. If you said, "Show me what I need to start using Python with Excel files" this lab answers that simple question. After you complete the lab, you'll definitely be able to say you can program in Python. Python is really powerful, and I hope you enjoy the lab and want to continue to expand your Python skills in the future. In my opinion, a working code example takes all the guesswork out of programming, leaving just the fun of learning something new. You don't have to wonder if you have the correct indentation, your counter is in the right place, or if you forgot the colon at the end of the line when you defined your function. Are you ready? Let's get started!

Download or read book Program Arcade Games written by Paul Craven and published by Apress. This book was released on 2015-12-31 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn and use Python and PyGame to design and build cool arcade games. In Program Arcade Games: With Python and PyGame, Second Edition, Dr. Paul Vincent Craven teaches you how to create fun and simple quiz games; integrate and start using graphics; animate graphics; integrate and use game controllers; add sound and bit-mapped graphics; and build grid-based games. After reading and using this book, you'll be able to learn to program and build simple arcade game applications using one of today's most popular programming languages, Python. You can even deploy onto Steam and other Linux-based game systems as well as Android, one of today's most popular mobile and tablet platforms. You'll learn: How to create quiz games How to integrate and start using graphics How to animate graphics How to integrate and use game controllers How to add sound and bit-mapped graphics How to build grid-based games Audience“div>This book assumes no prior programming knowledge.

Download or read book Advanced Guide to Python 3 Programming written by John Hunt and published by Springer Nature. This book was released on 2023-11-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Introduction to Python Network Automation Volume II written by Brendan Choi and published by Springer Nature. This book was released on with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Python Automation Cookbook written by Jaime Buelta and published by Packt Publishing Ltd. This book was released on 2020-05-29 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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 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 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 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.

Download or read book Python GUI Programming Cookbook written by Burkhard A. Meier and published by Packt Publishing Ltd. This book was released on 2015-12-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 80 object-oriented recipes to help you create mind-blowing GUIs in Python About This Book Use object-oriented programming to develop amazing GUIs in Python Create a working GUI project as a central resource for developing your Python GUIs Packed with easy-to-follow recipes to help you develop code using the latest released version of Python Who This Book Is For If you are a Python programmer with intermediate level knowledge of GUI programming and want to learn how to create beautiful, effective, and responsive GUIs using the freely available Python GUI frameworks, this book is for you. What You Will Learn Create amazing GUIs with Python's built-in Tkinter module Customize the GUIs by using layout managers to arrange the GUI widgets Advance to an object-oriented programming style using Python Develop beautiful charts using the free Matplotlib Python module Use threading in a networked environment to make the GUIs responsive Discover ways to connect the GUIs to a database Understand how unit tests can be created and internationalize the GUI Extend the GUIs with free Python frameworks using best practices In Detail Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Its flexible syntax enables developers to write short scripts while at the same time, they can use object-oriented concepts to develop very large projects. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book uses the simplest programming style, using the fewest lines of code to create a GUI in Python, and then advances to using object-oriented programming in later chapters. If you are new to object-oriented programming (OOP), this book will teach you how to take advantage of the OOP coding style in the context of creating GUIs written in Python. Throughout the book, you will develop an entire GUI application, building recipe upon recipe, connecting the GUI to a database. In the later chapters, you will explore additional Python GUI frameworks, using best practices. You will also learn how to use threading to ensure your GUI doesn't go unresponsive. By the end of the book, you will be an expert in Python GUI programming to develop a common set of GUI applications. Style and approach Every recipe in this programming cookbook solves a problem you might encounter in your programming career. At the same time, most of the recipes build on each other to create an entire, real-life GUI application.

Download or read book Hacking with Kali Linux written by Dylan Mach and published by . This book was released on 2021-01-21 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book COMPUTER PROGRAMMING For Beginners written by Dylan Mach and published by . This book was released on 2021-02-21 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ 55% OFF for Bookstores! ★ Discounted Retail Price ★ Buy it NOW and let your customers get addicted to this amazing book!

Download or read book NETWORKING for Beginners written by Dylan Mach and published by Independently Published. This book was released on 2019-11-28 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you thought that the development of computers has limited challenges, then this book highlights one of the significant difficulties facing the computing world. Since the incorporation of machines, different groups have come up with techniques of getting access to unauthorized data as well as invading privacy by exploiting confidential information of others. Besides, cyber-attacks have been on the rise, and this is contributed by the increase in the types of attacks experienced today by victims globally. Inside, you will learn an overview of cyber-attacks, and how first came into existence from the first hacker who introduced the process. Learning alone about cyber-attacks also requires knowledge about the different types of attacks, including the most recent techniques used by attackers. You will then learn about the different types, including the first type of attack, which caught the attention of developers. Preparing for the worsts is usually essential, especially when venturing into new areas without understanding the limitations which are likely to experience. In this book, therefore, the types of cyber-attacks highlighted accompany the possible mitigations measures which you may use to prevent specific processes. Understanding about cyber-attacks and its types is not usually enough unless accompanied by some of the possible prevention measures you can use and protect your computer system against such. When learning about the types of cyber-attacks, you will find out that there are several ways an attacker can gain access to under your system. This is, therefore, essential as it may require you to implement different methods in order to prevent losing relevant data. Thus, the book highlights the useful guidelines to follow and prevent attackers from targeting your system and infect your files. Also, you will learn about some recommendations in each type of cyber-attack to use in case you feel like you are vulnerable to a particular kind of attack. The book provides specific measures for specific types of cyberattacks to benefits those who doubt their vulnerabilities one or more attacks. In this case, you will have a clear understanding of how to manage your system and prevent specific attacks that may damage your computer system. You will also learn the difference between prevention measures and mitigation measures relevant to cyber-attacks. This way, you will have a clear understanding of how to deal with cyber-attacks and how to have general prevention methods to protect your system against future threats to your data. Inside You Will Find A general overview of cyber-attacks including definitions, history and how it has caused chaos among computer users Common types of cyber-attacks and the processes used to implement them in a given attack to a victim's computer Recommendation measures for each specific type of cyber-attack when faced with one or more threats Preventions measures of cyber-attacks and how to go about achieving them for the benefit of providing exceptional protections services to your computer system And more.... So, if you want to know everything to prevent any cyber-attacks, and protect your system, then Scroll up and select the Buy now with 1-Click Button!

Download or read book Python Basics written by Dan Bader and published by Real Python (Realpython.Com). This book was released on 2021-03-16 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make the Leap From Beginner to Intermediate in Python... Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample Projects What should you learn about Python in the beginning to get a strong foundation? With Python Basics, you'll not only cover the core concepts you really need to know, but you'll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You'll know enough to be dangerous with Python, fast! Who Should Read This Book If you're new to Python, you'll get a practical, step-by-step roadmap on developing your foundational skills. You'll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short, clear code samples. Our goal with this book is to educate, not to impress or intimidate. If you're familiar with some basic programming concepts, you'll get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into the meat and potatoes without sacrificing substance. If you have prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java, or Swift the numerous exercises within each chapter will fast-track your progress. If you're a seasoned developer, you'll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you're a self-starter completely new to coding, you'll get practical and motivating examples. You'll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We'll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you're looking to break into a coding or data-science career, you'll pick up the practical foundations with this book. We won't just dump a boat load of theoretical information on you so you can "sink or swim"-instead you'll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you'll always know what you can do with it in practical terms. If you're interested in teaching others "how to Python," this will be your guidebook. If you're looking to stoke the coding flame in your coworkers, kids, or relatives-use our material to teach them. All the sequencing has been done for you so you'll always know what to cover next and how to explain it. What Python Developers Say About The Book: "Go forth and learn this amazing language using this great book." - Michael Kennedy, Talk Python "The wording is casual, easy to understand, and makes the information flow well." - Thomas Wong, Pythonista "I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I'm up and running now, but I constantly refer to the material for guidance." - Jared Nielsen, Pythonista

Download or read book Introduction to Python Programming written by Gowrishankar S and published by CRC Press. This book was released on 2018-12-07 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book’s overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors’ experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge. Features of this book This book does not assume any previous programming experience, although of course, any exposure to other programming languages is useful This book introduces all of the key concepts of Python programming language with helpful illustrations Programming examples are presented in a clear and consistent manner Each line of code is numbered and explained in detail Use of f-strings throughout the book Hundreds of real-world examples are included and they come from fields such as entertainment, sports, music and environmental studies Students can periodically check their progress with in-chapter quizzes that appear in all chapters