The.Hottest

Dawn Griffiths - 589 pages - Language: English - Publisher: ‎O'Reilly Media; (June, 2024) - ISBN-10: ‎1098143329 - ISBN-13: ‎978-1098143329.

Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource. You'll find more than 350 recipes for over a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages.

Whether you're a data analyst, project manager, financial analyst, or regular Excel user, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast.

Build compelling charts and use Sparklines, 3D Maps, and other visualizations + Use PivotTables to slice, dice, and summarize datasets + Perform statistical and financial analyses using formulas, Forecast Sheets, the Analysis ToolPak, and more + Master dynamic array functions such as SEQUENCE, TEXTSPLIT, and FILTER + Use Power Query to import, shape, and combine datasets + Create custom functions using LAMBDA formulas + Use developer options to write VBA code and create custom UserForms.

Felix Zumstein ... 335 pages - Language: ‎English - Publisher: ‎O'Reilly Media; (April, 2021) - ISBN-10: 1492081000 - ISBN-13: 978-1492081005.


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.

David Mertz ... 288 pages - Language: English - Publisher: ‎Addison-Wesley Professional; (November, 2023).

Python is one of the most widely used programming languages in the world. It is used everywhere from primary school education to workaday web development, to the most advanced scientific research institutes of the world. However, like all programming languages, Python has a collection of "Pythonic" ways of accomplishing tasks that are easy to overlook, especially when habits are borrowed wholesale from work in other programming languages. Better Python Code is a guide to Pythonic programming. The book presents common mistakes that Python developers make--even Python developers who have used the language for years--often because Python sometimes presents "attractive nuisances." Throughout, the book is a guide to better programming in the core Python language.

Each section shows a concrete but concise example of some misunderstanding or bad habit in action. Each section contains a description of what is wrong with the sample code and a suggestion for one or more better ways to code equivalent functionality without the initial pitfall. Every pitfall addressed in this book reflects foibles, errors, and misunderstandings that the author as seen in concrete, widely used code bases written by experienced developers, over his 25 years of writing Python. The sections of this book each present some mistake, pitfall, or foible that developers can easily fall into, and are accompanied by descriptions of ways to avoid making them. At times those solutions simply involve a minor change in “spelling,” but in most cases they require a nuance of thought and design in your code. Many of the discussions do something else as well…

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