Название: Python Data Analytics: With Pandas, NumPy, and Matplotlib, 3rd EditionАвтор: Fabio Nelli
Издательство: Apress
Год: 2023
Страниц: 455
Язык: английский
Формат: pdf (true), epub (true)
Размер: 54.9 MB
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation
Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the jаvascript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.
Among the most commonly used statistical techniques in data analysis are:
• Bayesian methods
• Regression
• Clustering
Having to deal with these cases, you’ll discover how mathematics and statistics are closely related. Thanks to the special Python libraries covered in this book, you will be able to manage and handle them. One of the most advanced tools that falls in the data analysis camp is machine learning. In fact, despite the data visualization and techniques such as clustering and regression, which help you find information about the dataset, during this phase of research, you may often prefer to use special procedures that are highly specialized in searching patterns within the dataset. Machine Learning is a discipline that uses a whole series of procedures and algorithms that analyze the data in order to recognize patterns, clusters, or trends and then extracts useful information for analysis in an automated way. This discipline is increasingly becoming a fundamental tool of data analysis, and thus knowledge of it, at least in general, is of fundamental importance to the data analyst.
What You'll Learn:
Understand the core concepts of data analysis and the Python ecosystem
Go in depth with pandas for reading, writing, and processing data
Use tools and techniques for data visualization and image analysis
Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Who This Book Is For:
Experienced Python developers who need to learn about Pythonic tools for data analysis
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