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Become a Python Data Analyst

You're reading from Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781789531701

Length 178 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Alvaro Fuentes

View More author details

Table of Contents (8) Chapters

Preface

1. The Anaconda Distribution and Jupyter Notebook FREE CHAPTER

2. Vectorizing Operations with NumPy

3. Pandas - Everyone's Favorite Data Analysis Library

4. Visualization and Exploratory Data Analysis

5. Statistical Computing with Python

6. Introduction to Predictive Analytics Models

7. Other Books You May Enjoy

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The Anaconda distribution

Anaconda is a free, easy-to-install package management and environment management Python distribution created for developers and data scientists to make package management and deployment in scientific computing, data science, statistical analysis, and machine learning an easy task. It is software that is produced and distributed by Continuum Analytics and is available for free download at https://www.anaconda.com/download/.

Anaconda is a toolbox, a ready-to-use collection of related tools for doing data analytics with Python. The individual tools are also available for free download, but it is definitely more convenient to get the whole toolbox. This is the main problem that Anaconda solves, saving you the time it takes to look for every individual tool and install them on your system. In addition, Anaconda also takes care of package dependencies and other potential conflicts and problems that are the outcome of installing Python packages individually.

Installing Anaconda

On opening the previously mentioned URL, we are given download options for each operating system. So, here, you must look for the appropriate installer for your operating system. You will see two installers: one is for Python 3.6 and the other is for Python 2.7. In this book, we will be using Python 3.6:

Let's download the latest version of the Anaconda software and save in our Downloads folder.

Here, we choose the 64-bit installer of Anaconda 5.2 for Windows, since we will be working on a Windows environment in this book. Installation for macOS and Linux will also be similar.

Installing Anaconda is very simple; it is no different from any other software you have installed before. Double-click on the .exe file and install the software on your system. The steps are easy and you'll get the normal prompts you see when installing software:

Click on Next in the first installer dialog box.
Then, we have the license agreement, where we can click on I Agree after going through the terms and conditions of the software.
From the options, select Just Me and click Next.
Select the default installation destination folder and click Next.
Next, it asks you for the environment variables and whether you want to register Anaconda as your default Python. Check both boxes and click on Install.
Once the installation is complete, click on Finish in the installer dialog box.

You have been reading a chapter from

Become a Python Data Analyst

Published in: Aug 2018

Publisher: Packt

ISBN-13: 9781789531701

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Authors (1)

Alvaro Fuentes

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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