Effective Pandas 2: Opinionated Patterns for Data ManipulationКНИГИ » ПРОГРАММИНГ
Название: Effective Pandas 2: Opinionated Patterns for Data Manipulation Автор: Matt Harrison Издательство: MetaSnake Серия: Treading on Python Год: 2024 Страниц: 594 Язык: английский Формат: epub Размер: 45.1 MB
Effective Pandas 2 is an update of the best-selling Effective Pandas, aimed at the Pandas 2 library. It is a pivotal resource for anyone looking to master the art of data handling with Pandas, the popular Python data analysis library. This book is a treasure trove of knowledge, distilling years of expertise into a format that's both accessible and engaging.
Whether you're a beginner eager to dive into data science or a seasoned professional seeking to refine your skills, this book is tailored for you. 'Effective Pandas 2' cuts through the clutter of online resources, offering a streamlined path to proficiency. Say goodbye to countless hours spent trawling through blogs, mailing lists, and user groups; this book is your one-stop guide to writing robust and efficient Pandas code.
Pandas is a data analysis library for Python that has exploded in popularity over the past years. The website describes it like this: “Pandas is an open-source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.”
My description of Pandas is: Pandas is an in-memory analysis tool with SQL-like constructs, essential statistical and analytic support, and graphing capability. Owing to its foundation on Cython and NumPy, Pandas offers reduced memory overhead and enhanced speed compared to standard Python code. Many people use Pandas to replace Excel, perform ETL (extract transform load processing to move data from one place to another), process tabular data, load CSV or JSON files, prep for Machine Learning, and more. Though it grew out of the financial sector (for time series analysis), it is now a general-purpose data manipulation library.
With its NumPy lineage, Pandas adopts some NumPy’isms that regular Python programmers may not be aware of or familiar with. Yes, one could go out and use Cython to perform fast typed data analysis with a Python-like dialect, but you don’t need to with Pandas. This work is done for you. If you use Pandas and vectorized operations, you are getting close to C-level speeds for numeric work but writing Python.
Key features and topics include:
- Series Manipulation: Master the nuances of working with Pandas Series, a fundamental building block in data analysis. - Creating Columns: Learn the ins and outs of adding and manipulating columns in your DataFrame for more effective data organization. - Summary Statistics: Gain the skills to summarize and interpret data, unlocking insights hidden within your datasets. - Grouping, Pivoting, and Cross-Tabulation: Understand the power of grouping and pivoting for advanced data aggregation and transformation. - Time Series data: Navigate the complexities of time series data, a crucial aspect of many real-world data analysis tasks. - Visualization: Harness the power of visualization to make your data tell compelling stories. - Chaining: Streamline your code with chaining techniques for more readable and efficient Pandas operations. - Debugging Code: Equip yourself with strategies to debug and troubleshoot your Pandas code effectively. - And More: Explore additional topics and advanced techniques to elevate your data manipulation skills.
Who is this book for: This guide is intended to introduce Pandas and patterns for best practices. If you work with tabular data and need capabilities beyond Excel, this is for you. This book covers many (but not all) aspects of the library, as well as some gotchas or details that may be counter-intuitive or even non-pythonic to longtime users of Python. This book assumes a basic knowledge of Python.
With its clear explanations, practical examples, and expert insights, 'Effective Pandas 2' is more than just a book; it's a mentor guiding you towards mastery of Pandas. Embrace the journey of transforming your data analysis skills and uncover the full potential of your data with 'Effective Pandas 2'.
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Effective Pandas 2: Opinionated Patterns for Data Manipulation 
