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Chamberlin - Python project for beginners: Python at your fingertips! Learn, create, experiment, and dont miss the current programming language. Introduction to data science, coding, and analysis.

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Python project for beginners: Python at your fingertips! Learn, create, experiment, and dont miss the current programming language. Introduction to data science, coding, and analysis.
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Chamberlin / Eric
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2020
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PYTHON PROJECTS FOR BEGINNERS

Python at your fingertips! Learn, create, experiment, and don't miss the current programming language. Introduction to data science, coding, and analysis.

ERIC CHAMBERLIN

The content contained within this book may not be reproduced, duplicated or transmitted without direct written permission from the author or the publisher. Under no circumstances will any blame or legal responsibility be held against the publisher, or author, for any damages, reparation, or monetary loss due to the information contained within this book. Either directly or indirectly.

Legal Notice: This book is copyright protected. This book is only for personal use. You cannot amend, distribute, sell, use, quote or paraphrase any part, or the content within this book, without the consent of the author or publisher.

Disclaimer Notice: Please note the information contained within this document is for educational and entertainment purposes only. All effort has been executed to present accurate, up to date, and reliable, complete information. No warranties of any kind are declared or implied. Readers acknowledge that the author is not engaging in the rendering of legal, financial, medical or professional advice. The content within this book has been derived from various sources. Please consult a licensed professional before attempting any techniques outlined in this book.

By reading this document, the reader agrees that under no circumstances is the author responsible for any losses, direct or indirect, which are incurred as a result of the use of information contained within this document, including, but not limited to, errors, omissions, or inaccuracies.

Table Of Contents

Introduction

P ython is an incredibly easy computer programming language to learn and is also one of the most useful. Many of todays largest websites are built using Python. Just to show how popular and how powerful it really is, even NASA uses it. It is the best language for any beginner to start computer coding, giving you a great platform from which to move on to bigger and better things.

To help you learn the language, I have included exercises with the chapters and, of course, the answers as well.

The biggest advantage for learners of Python is that you do not have to compile the code. In C++, you have to compile the entire program first and then run it. Only then will you be able to see whether your program runs or returns an error. Python offers the same level of programming, even at a higher stage; but still it is an interpreted language that can be easily written, edited, and corrected.

Given the increasing applications of Python, learning it is extremely profitable from the angle of the global job market. Python can give you the much-needed edge over others when it comes to securing high paid jobs.

The following chapters will discuss all of the different parts of learning how to do some of your coding in the Python language. There are a lot of different reasons why you will want to learn how to work with the Python language, and we want to make sure that we can learn how to make them work for our needs. There are a lot of options out there for learning how to code and get things done with programming, but you will find that the Python language is going to be one of the best ones to work with. This guidebook will show you why that is.

CHAPTER 1:

Chapter 1: Python Versions

Python Versions Importance of choosing an appropriate version of Python

C hoosing a correct version of Python can be challenging for both experienced and newcomers. There are few syntactical differences between versions 2 and 3. You can run both versions on the computer and see which works better for you. In case you know one version, then learning the other one is not that difficult.

Most of the programmers learn Python 2 even after they are done with Python 3. This is due to the fact that Python 2 has some interesting aspects from its C language heritage and the way it has been evolved since inception. However, Python 3 is a more consistent programming language; but still most of the frameworks work on Python 2.

Another version, 2.7, has also been widely used due to its packages which include dictionaries such as Pandas, Scikit-learn, NumPy, etc. These can make implementation of machine learning algorithms much easier.

However, experts have advised that if you are just beginning to learn Python, then one should go for version 3.4x, since it has many add-on features along with bug fixes.

One can visit the official Python programming language to learn about all the versions of this language since the beginning.

The Difference Between Python 2 and 3

A common difference between the two versions is the print function. Python 2 did not really use a lot of parentheses, i.e. print () . This change may not seem like such a big deal, but it makes all the difference. The print statements in Python 2 have been replaced with print () . When you write a code that you want to print without the parenthesis in Python 2, the code goes on to be readable and is translated. However, if you do this in Python 3, it will report a syntax error. Python 2 does not have much of a problem when it comes to this. The syntax in the two versions differs.

But what is syntax? Syntax is the set of rules used during the coding process.

One other difference is the integer division . Python 2 tends to round off the division to the nearest number, while Python 3 tends to be more accurate compared to the version it surpassed. If you are planning on porting Python 3 code into Python 2, you should be careful. A syntax error will not appear if you make a mistake. Hence, you would want to be very careful. For example, instead of using 3/2 in your script, you should consider implementing float 3/2.0 0r (3) /2 if you are using Python 3.

Python 2 and Python 3 differ in how they represent their characters. Python 2 can use both ASCII and Unicode strings. Python 3, on the other hand, uses Unicode strings. In ASCII, the byte string is used, which is represented by str. The Unicode implies the Unicode string type. The str and Unicode are subclasses of a common base class. If you want to create a string in Python 2, you can write str() . If you want to create Unicode, it is the same: you write Unicode() . Python 3 has only one string which is named str , which is a Unicode. The sequence of bytes is represented as a byte. There are instances where bytes allows some systems that use ASCII. However, this is not true in all cases.

Python 2 and Python 3 also differ in ranges. Python has two functions which are range and xrange . One crucial aspect to keep in mind is that range and xrange function the same way, although they are a bit different. The range function was used in Python 3, while xrange was used in Python 2. However, the range function in Python 3 was removed, which gave way to xrange, which is used in Python 2, since it has been found to be faster. So, what is the difference between the range and xrange?

Range and xrange will provide you a way to come up with a list of integers you can use in any way you want to use them. However, xrange will return an xrange object, while range will return a Python list of objects.

Let us get deeper into this! What this means is that range is able to create a static list during runtime, as opposed to xrange, where the values are yielded. Objects known as generators are used during yielding. Now, if you want to generate a huge range, let us say over hundreds of millions the xrange function should be the function that you use. The problem in using range is that if you want to create a huge list like the one stated above, the range function will use up a lot of memory in order to generate your integers. If this happens, your program or software will produce a memory error and it will eventually crash.

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