Python for Data Science For Dummies, 3rd Edition
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- Дата: 10-10-2023, 17:26
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Автор: John Paul Mueller, Luca Massaron
Издательство: For Dummies
Год: 2024
Страниц: 467
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Let Python do the heavy lifting for you as you analyze large datasets.
Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples.
The main purpose of Python for Data Science For Dummies, 3rd Edition, is to take the scare factor out of Data Science by showing you that data science is not only really interesting but also quite doable using Python. You may assume that you need to be a computer science genius to perform the complex tasks normally associated with data science, but that’s far from the truth. Python comes with a host of useful libraries that do all the heavy lifting for you in the background. You don’t even realize how much is going on, and you don’t need to care. All you really need to know is that you want to perform specific tasks, and Python makes these tasks quite accessible.
Part of the emphasis of this book is on using the right tools. You start with either Jupyter Notebook (on desktop systems) or Google Colab (on the web) — two tools that take the sting out of working with Python. The code you place in Jupyter Notebook or Google Colab is presentation quality, and you can mix a number of presentation elements right there in your document. It’s not really like using a traditional development environment at all.
You also discover some interesting techniques in this book. For example, you can create plots of all your data science experiments using Matplotlib, and this book gives you all the details for doing that. This book also spends considerable time showing you available resources (such as packages) and how you can use Scikit-learn to perform some very interesting calculations. Many people would like to know how to perform handwriting recognition, and if you’re one of them, you can use this book to get a leg up on the process.
Get a firm background in the basics of Python coding for data analysis
Learn about data science careers you can pursue with Python coding skills
Integrate data analysis with multimedia and graphics
Manage and organize data with cloud-based relational databases
Python careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.
Скачать Python for Data Science For Dummies, 3rd Edition
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