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Dimick - Python: 3 books in 1: Beginner’s guide, Data science and Machine learning. The easiest guide to start Python programming. Unlock your programmer potential and develop your project in just 30 days

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Python: 3 books in 1: Beginner’s guide, Data science and Machine learning. The easiest guide to start Python programming. Unlock your programmer potential and develop your project in just 30 days
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Dimick / William
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2020
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Python

3 books in 1

Beginners guide, Data science and Machine learning.

The easiest guide to get started in Python programming. Unlock your programmer potential and develop your project in just 30 days.

William Dimick

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 the information contained within this document, including, but not limited to, errors, omissions, or inaccuracies.

Python for beginners:

The survival guide to start programming from scratch. Get involved in the learning process, master Python code and reach your goals now without efforts.

William Dimick

The content contained within this book may not be reproduced, duplicated or transmitted without direct written permission from the author or the publisher.

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Introduction

So, you have heard about this programming language that everyone considers amazing, easy and fast. the language of the future. You sit with your friends, and all they have to talk about is essentially gibberish to you, and yet it seems interesting to the rest of them. Perhaps you plan to lead a business, and a little research into things reveals that a specific language is quite a lot in demand these days. Sure enough, you can hire someone to do the job for you, but how would you know if the job is being done the way you want it to be, top-notch in quality and original in nature?

Whether you aim to pursue a career out of this journey, you are about to embark on or set up your own business to serve hundreds of thousands of clients who are looking for someone like you; you need to learn Python.

When it comes to Python, there are so many videos and tutorials which you can find online. The problem is that each seems to be heading in a different direction. There is no way to tell which structure you need to follow, or where you should begin and where should it end. There is a good possibility you might come across a video that seemingly answers your call, only to find out that the narrator is not explaining much and pretty much all you see, you have to guess what it does.

I have seen quite a few tutorials like that by myself. They can be annoying and some even misleading. Some programmers will tell you that you are already too late to learn Python and that you will not garner the kind of success you seek out for yourself. Let me put such rumors and ill-messages to rest.

Age It is just a number. What truly matters are the desire you have to learn. You do not need to be X years old to learn this effectively. Similarly, there is no upper limit of Y years for the learning process. You can be 60 and still be able to learn the language and execute brilliant commands. All it requires is a mind that is ready to learn and a piece of good knowledge on how to operate a computer, open and close programs, and download stuff from the internet. Thats it!

Language Whether you are a native English speaker or a non-native one, the language is open for all. As long as you can form basic sentences and make sense out of them, you should easily be able to understand the language of Python itself. It follows something called the clean-code concept, which effectively promotes the readability of codes.

Python is two decades old already If you are worried that you are two decades late, let me remind you that Python is a progressive language in nature. That means, every year, we find new additions to the language of Python, and some obsolete components are removed as well. Therefore, the concept of being too late already stands void. You can learn today, and you will already be familiar with every command by the end of a year. Whatever has existed so far, you will already know. What would follow then, you will eventually pick up. There is no such thing as being too late to learn Python.

Of course, some people are successful and some not. Everything boils down to how effectively and creatively you use the language to execute problems and solutions. The more original your program is, the better you fare off.

I vow that I will give my best to learn the language of Python and master the basics. I also promise to practice writing codes and programs after I am done with this book.

Bravo! You just took the first step. Now, we are ready to turn the clock back a little and see exactly where Python came from. If you went through the introduction, I gave you a brief on how Python came into existence, but I left out quite a few parts. Let us look into those and see why Python was the need of the hour.

Before the inception of Python, and the famous language that it has gone on to become, things were quite different. Imagine a world where programmers gathered from across the globe in a huge computer lab. You have some of the finest minds from the planet, working together towards a common goal, whatever that might be. Naturally, even the finest intellectuals can end up making mistakes.

Suppose one such programmer ended up creating a program, and he is not too sure of what went wrong. The room is full of other programmers, and sure enough, approaching someone for assistance would be the first thought of the day. The programmer approaches another busy person who gladly decides to help out a fellow intellectual programmer. Within that brief walk from one station to the other, the programmer quickly exchanges the information, which seems to be a common error. It is only when the programmer views the code that they are caught off-guard. This fellow member has no idea what any of the code does. The variables are labeled with what can only be defined as encryptions. The words do not make any sense, nor is there any way to find out where the error lies.

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