Python for Excel

2021-03-04
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

Python for Excel

2021-03-04
Python for Excel

PDF Python for Excel Download

  • Author: Felix Zumstein
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1492080950
  • Category : Computers
  • Languages : en
  • Pages : 366

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

Python for Excel

2021-05-28
Python for Excel

PDF Python for Excel Download

  • Author: Felix Zumstein
  • Publisher: O'Reilly Media
  • ISBN: 9781492081005
  • Category :
  • Languages : en
  • Pages : 275

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 that allows the automation of 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 their daily automation tasks. This guide gets you started. Use Python without previous 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 Write unit tests in Python to build solid spreadsheets

Python Lab1 Excel Openpyxl

2019-12-24
Python Lab1 Excel Openpyxl

PDF Python Lab1 Excel Openpyxl Download

  • Author: R. L. Zimmerman
  • Publisher:
  • ISBN: 9781650328348
  • Category :
  • Languages : en
  • Pages : 84

#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!

Python Lab1 Excel Openpyxl

2019-11-24
Python Lab1 Excel Openpyxl

PDF Python Lab1 Excel Openpyxl Download

  • Author: R. Zimmerman
  • Publisher:
  • ISBN: 9781711078229
  • Category :
  • Languages : en
  • Pages : 84

#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!

Essentials of Excel VBA, Python, and R

2023-03-23
Essentials of Excel VBA, Python, and R

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  • Author: John Lee
  • Publisher: Springer Nature
  • ISBN: 3031142837
  • Category : Business & Economics
  • Languages : en
  • Pages : 521

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.

Extending Excel with Python and R

2024-04-30
Extending Excel with Python and R

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  • Author: Steven Sanderson
  • Publisher: Packt Publishing Ltd
  • ISBN: 1804615544
  • Category : Computers
  • Languages : en
  • Pages : 345

Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity Key Features Perform advanced data analysis and visualization techniques with R and Python on Excel data Use exploratory data analysis and pivot table analysis for deeper insights into your data Integrate R and Python code directly into Excel using VBA or API endpoints Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFor businesses, data analysis and visualization are crucial for informed decision-making; however, Excel’s limitations can make these tasks time-consuming and challenging. Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics, the company behind the ownR platform engineering solution for R, Python, and other data science languages. This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. Whether you're a beginner or an expert, this book has everything you need to unlock Excel's full potential and take your data analysis skills to the next level. By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.What you will learn Read and write Excel files with R and Python libraries Automate Excel tasks with R and Python scripts Use R and Python to execute Excel VBA macros Format Excel sheets using R and Python packages Create graphs with ggplot2 and Matplotlib in Excel Analyze Excel data with statistical methods and time series analysis Explore various methods to call R and Python functions from Excel Who this book is for If you’re a data analyst or data scientist, or a quants, actuaries, or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python, this book is for you. It provides a comprehensive introduction to the topics covered, making it suitable for both beginners and intermediate learners. A basic understanding of Excel, Python, and R is all you need to get started.

Physics with Excel and Python

2023-01-01
Physics with Excel and Python

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  • Author: Dieter Mergel
  • Publisher: Springer Nature
  • ISBN: 3030823253
  • Category : Science
  • Languages : en
  • Pages : 493

This book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics - mechanics, optics, acoustics, and statistical reasoning in the context of the evaluation of measurements. After working through these examples, students are able to independently work on physical problems that they encounter during their studies. For every exercise, the author introduces the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution is achieved in one application, it can easily be translated into the other one and presumably any other platform for scientific computing. This is possible because the basic techniques of vector and matrix calculation and array broadcasting are also achieved with spreadsheet techniques, and logical queries and for-loops operate on spreadsheets from simple Visual Basic macros. So, starting to learn scientific calculation with Excel, e.g., at High School, is a targeted road to scientific computing. The primary target groups of this book are students with a major or minor subject in physics, who have interest in computational techniques and at the same time want to deepen their knowledge of physics. Math, physics and computer science teachers and Teacher Education students will also find a companion in this book to help them integrate computer techniques into their lessons. Even professional physicists who want to venture into Scientific Computing may appreciate this book.

Essentials of Excel VBA, Python, and R

2023-01-02
Essentials of Excel VBA, Python, and R

PDF Essentials of Excel VBA, Python, and R Download

  • Author: John Lee
  • Publisher: Springer Nature
  • ISBN: 3031142365
  • Category : Business & Economics
  • Languages : en
  • Pages : 698

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning.

Python for Excel

2023-10-28
Python for Excel

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  • Author: Hayden Van Der Post
  • Publisher: Independently Published
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 0

Reactive Publishing Python for Excel: Python Powered Formula One racing Python for Excel is the ultimate guide for Excel users who are ready to take their data manipulation and analysis skills to the next level. This comprehensive book bridges the gap between Excel and Python, empowering readers to harness the power of Python's robust libraries for advanced data processing and automation. In this book, author Hayden Van Der Post expertly guides readers through the integration of Python and Excel, unraveling the limitations of Excel and unleashing a world of possibilities. Starting with an introduction to Python and its advantages over Excel, readers will discover the immense capabilities that Python brings to the table, such as handling large datasets effortlessly and automating complex tasks. The book then dives into the practical aspects of integrating Python with Excel, showcasing how Python can amplify Excel's functionality. Exploring the limitations of Excel, readers will learn how Python can extend its capabilities by leveraging its powerful libraries and frameworks. From advanced statistical analysis to handling big data and creating impressive visualizations, Python becomes the secret weapon that propels Excel users to new levels of productivity and accuracy. Throughout the book, Van Der Post provides clear and concise explanations, accompanied by practical examples and code snippets. Readers will gain a solid understanding of how to set up the Python environment for seamless integration, navigate the Excel-Python interface using popular libraries like xlwings, and unlock the full potential of Python's data manipulation and analysis capabilities. This book is not just for Excel power users, but also for beginners looking to expand their toolset and enhance their data processing skills. By the end of "Python for Excel Advanced: From CELL-FIEs to Financial Forecasts," readers will have a comprehensive understanding of how to harness the power of Python to tackle complex data challenges and unlock valuable insights. With its practical approach, real-world examples, and comprehensive coverage, "Python for Excel is the essential guide for anyone looking to supercharge their Excel skills and excel in the world of data analysis and automation. Whether you're a seasoned professional or just starting your journey, this book will transform you into a Python-powered Excel wizard. Don't miss out on the opportunity to revolutionize your Excel workflow and become a true master of data manipulation.