Try Python - For Beginners - Book 1

by David Rojas, Mikaela Rojas (Editor)

Overview

If you have ever thought about trying a new programming language like Python but didn't want to go through the effort of installing the software or didn't even know where to start, then this book is written just for you. I mean, it sounds like a good idea and it would probably look good on your resume but really, who wants to go through all that work? Nevertheless, I know you are interested in learning Python and I'm here to make that process as simple as possible. This book is going to cover the software you can start using today without needing to install anything on your computer. And while we are at it, we will also write some Python code but not too much.

The Jupyter/IPython Notebook

This book provides you with a very detailed introduction to the Jupyter Notebook. Below are some of the items we will cover.


How to select the version of Python you want to code in

How to code in Python using the Jupyter/IPython Notebook

How to move code cells up and down the page

How to code in Markdown

How to execute your Python code in the Notebook

What is the difference between command mode and edit mode

Plus you'll learn some practical keyboard shortcuts along the way



Tags: python windows, ipython notebook, learn python, jupyter, pandas, python for data science

Product Details

BN ID:	2940157922733
Publisher:	David Rojas
Publication date:	04/03/2016
Sold by:	Barnes & Noble
Format:	eBook
File size:	207 KB

About the Author

David Rojas is a data enthusiast and Python evangelist. Currently, he is enjoying his time as a consultant in the data world. He lives in the Silicon Valley and is active within the data community. After receiving a degree from the University of Florida as an industrial and systems engineer and obtaining a minor in sales engineering, he received his state license as an engineer in training. Soon thereafter, he pursued a career change to the IT world as a data analyst and discovered his passion for data using various tools in order to manage and analyze data in a better way. After many years of working in a wide range of odd data roles, such as reporting, gathering requirements, writing documentation, working with databases, and working with flat files, he decided to make his love for data a reality and started his own business (www.hedaro.com). You will often find his work being cited by various professors and other data enthusiasts around the Bay Area.