Python For Everybody

This book is not only written for professional programmers but for students and beginners who have no idea about Python. Its fundamental objective is to teach readers the syntax of python and guide them towards analyzing large amounts of data.

It's easy to read, the coding examples are easy to understand and this book is good for all non-programmers who want to learn programming concepts and understand how program codes work. This book is also recommended to those who want to consider becoming a python programmer as a career.

The class aims to teach programming to students by exploring data and it serves as an important resource to solve data problems that are beyond the capacity of a spreadsheet.

Python is a user-friendly and easy to understand programming language that is readily available on Windows, McIntosh or Linux computers. You just have to learn the Python basics and you can use it for as long as you want without having to buy any software.

The previous Python 2 version of this book is entitled 'Python for Informatics: Exploring Information' while this new version employs the use of the Python 3 language.

The class has simple and clear explanations with relevant analogies and example cases. Essentially, this third edition is the continuation of a developing open-source resource that has been carefully reworked and restructured by a brilliant data analysis and data mining guru. This is work that has been taught to tens of thousands of students and refined over time.

The code blocks and larger processing methods described in this book are examples of industry approaches. You won't get lost in all the technicalities and theoretical chaos unlike so many data science Python texts available.

One good thing is that Python vocabulary is fairly a small set of 'reserved words' with particular meaning to Python. Unlike the English language, there is no vagueness about what the words mean. Author Charles Severance explains well how to go from installation all way way through to syntax, accessing and analyzing information. You can map your own learning path; learn at your own pace while having fun navigating through this online course.