Python Data Science 简明教程

Python for Data Science Tutorial

数据是新的原油。此语句说明现在的每一个现代 IT 系统都通过采集、存储和分析数据来驱动，用于各种需求。无论是制定业务决策、预测天气、研究生物学中的蛋白质结构还是设计营销活动。所有这些场景都涉及使用数学模型、统计、图表、数据库，当然还包括数据分析背后的业务或科学逻辑的多学科方法。所以我们需要一种可以满足数据科学的各种需求的编程语言。Python 作为一种语言极其出色，因为它有许多库，并且有内置功能，这使得满足数据科学的需求变得简单。

Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analysing data for various needs. Be it about making decision for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis. So we need a programming language which can cater to all these diverse needs of data science. Python shines bright as one such language as it has numerous libraries and built in features which makes it easy to tackle the needs of Data science.

在这个教程中，我们将使用 Python 编程语言涵盖数据科学中使用的各种技术。

In this tutorial we will cover these the various techniques used in data science using the Python programming language.

Audience

本教程专为计算机科学毕业生以及希望使用 Python 作为编程语言以简单易懂的步骤学习数据科学的软件专业人士而设计。

This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn data science in simple and easy steps using Python as a programming language.

Prerequisites

在继续学习本教程之前，你应该具有以下知识：如何使用任何 Python IDE 和 Python 程序执行，用 Python 编程语言编写代码的知识。如果你对 Python 完全陌生，那么请参阅我们的 Python tutorial ，以透彻了解该语言。

Before proceeding with this tutorial, you should have a basic knowledge of writing code in Python programming language, using any python IDE and execution of Python programs. If you are completely new to python then please refer our Python tutorial to get a sound understanding of the language.

Execute Python Programs

对于本教程中给出的大多数示例，你将找到尝试选项，所以只管使用它，享受你的学习之旅。

For most of the examples given in this tutorial you will find Try it option, so just make use of it and enjoy your learning.

使用下面的示例代码框右上角提供的尝试选项尝试以下示例：

Try following example using Try it option available at the top right corner of the below sample code box

#!/usr/bin/python

print "Hello, Python!"