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Extending Power BI with Python and R
Author: Luca Zavarella
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-11-26
Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key FeaturesGet the most out of Python and R with Power BI by implementing non-trivial codeLeverage the toolset of Python and R chunks to inject scripts into your Power BI dashboardsImplement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BIBook Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learnDiscover best practices for using Python and R in Power BI productsUse Python and R to perform complex data manipulations in Power BIApply data anonymization and data pseudonymization in Power BILog data and load large datasets in Power BI using Python and REnrich your Power BI dashboards using external APIs and machine learning modelsExtract insights from your data using linear optimization and other algorithmsHandle outliers and missing values for multivariate and time-series dataCreate any visualization, as complex as you want, using R scriptsWho this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful.
Python for Excel
Author: Felix Zumstein
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-03-04
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: The Complete Handy Guide
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-12
Unleash the power of Python, a versatile and dynamic programming language that has captivated the hearts of developers worldwide. This comprehensive guide, meticulously crafted with the American audience in mind, embarks on a journey to unveil the depths and intricacies of Python, empowering you to create robust and innovative applications. Python's simplicity and ease of learning make it an ideal choice for beginners, enabling them to quickly grasp fundamental programming concepts and embark on their coding journey with confidence. Its intuitive syntax and extensive documentation further enhance the learning experience, ensuring a smooth and enjoyable onboarding process. Beyond its simplicity, Python's cross-platform compatibility sets it apart from many other programming languages. Whether you're working on Windows, Mac, or Linux, Python seamlessly adapts, allowing you to develop and deploy your applications on any platform effortlessly. This versatility makes it an ideal choice for developers seeking to reach a broader audience or collaborate with teams using different operating systems. Python's vast ecosystem of libraries and frameworks further amplifies its capabilities. From data science and machine learning to web development and graphical user interface (GUI) programming, Python has a library for virtually every task. This rich collection of tools empowers developers to tackle complex challenges with pre-built solutions, accelerating development and enhancing productivity. This book delves into the core elements of Python, providing a solid foundation for readers to build upon. It also explores advanced concepts such as object-oriented programming, exception handling, and file handling, equipping readers with the skills to create robust and maintainable applications. With its clear explanations, comprehensive examples, and practical exercises, this book serves as an invaluable resource for both novice and experienced Python developers. Whether you're just starting out or seeking to expand your Python knowledge, this guide will illuminate the path to mastery. Dive into the world of Python and unlock your true potential as a developer. If you like this book, write a review!