Python for Excel - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python for Excel write by Felix Zumstein. This book was released on 2021-03-04. Python for Excel available in PDF, EPUB and Kindle. 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
Python for Excel - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python for Excel write by Felix Zumstein. This book was released on 2021-03-04. Python for Excel available in PDF, EPUB and Kindle. 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 Programming on Win32
Python Programming on Win32 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python Programming on Win32 write by Mark J. Hammond. This book was released on 2000. Python Programming on Win32 available in PDF, EPUB and Kindle. Demonstrates how to use the Python programming language (an object- oriented scripting language) as a development and administrations tool for Win32. Focused on tasks rather than programming (although a brief tutorial is provided) the authors cover how Python works on Windows; the key integration technologies supported by Python on Windows; and examples of what Python can do with databases, email, Internet protocols, NT services, communications, and other areas. Annotation copyrighted by Book News, Inc., Portland, OR
Data Wrangling with Python
Data Wrangling with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Wrangling with Python write by Jacqueline Kazil. This book was released on 2016-02-04. Data Wrangling with Python available in PDF, EPUB and Kindle. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process
Foundations for Analytics with Python
Foundations for Analytics with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations for Analytics with Python write by Clinton W. Brownley. This book was released on 2016-08-16. Foundations for Analytics with Python available in PDF, EPUB and Kindle. 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
