Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.
Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.
By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.

What You Will Learn
• Understand how to install and manage Anaconda
• Read, sort, and map data using NumPy and pandas
• Find out how to create and slice data arrays using NumPy
• Discover how to subset your DataFrames using pandas
• Handle missing data in a pandas DataFrame

• Explore hierarchical indexing and plotting with pandas

Python是一种多范式的编程语言，已经成为数据科学家进行可视化、数据分析和机器学习的首选语言。

使用NumPy和Pandas进行实战数据分析》一开始就指导你为使用Python进行数据分析建立正确的环境，同时帮助你安装正确的Python分布。除此之外，你还将使用Jupyter笔记本并建立一个数据库。一旦你掌握了Jupyter，你将深入研究Python的NumPy包，这是一个具有高级数学功能的强大扩展。然后，你将继续创建NumPy数组，并采用不同的数组方法和函数。你将探索Python的pandas扩展，它将帮助你掌握数据挖掘并学会对数据进行子集。最后但并非最不重要的是，你将掌握如何通过分类和排序来管理你的数据集。

在本书结束时，你将学会对你的数据进行索引和分组，以便进行复杂的数据分析和操作。

你将学到的内容

- 理解如何安装和管理Anaconda

- 使用NumPy和pandas读取、分类和映射数据

- 了解如何使用NumPy创建和切分数据数组

- 发现如何使用pandas对你的DataFrames进行子集。

- 处理pandas DataFrame中的缺失数据

- 探索用pandas进行分层索引和绘图的方法