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Scratch Eric - Python Algorithms: ( A Complete Guide to Learn Python for Data Analysis, Machine Learning, and Coding from Scratch)

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Python Algorithms: ( A Complete Guide to Learn Python for Data Analysis, Machine Learning, and Coding from Scratch)
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Michael and Eric Scratch

PYTHON ALGORITHMS

A Complete Guide to Learn Python for Data Analysis, Machine Learning, and

Coding from Scratch

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

Preface

T here may be many different options out there that you can choose from when it comes to coding your programs, but none of them can offer you the versatility, and all of the benefits, that you are going to be able to get with Python, and that is exactly what we are going to discuss when we are in this guidebook.

To start this guidebook, we are going to take a look at a few different topics that are ever more increasingly being discussed in relation to Python.

Python is among the top programming languages that universities and industries are preferring to teach and use, respectively.

The charm of Python is hidden in the fact that it has extremely large applications in a wide range of fields.

Python is very easy to read and learn. You can easily read source codes for different programs that are created by other programmers. In the beginning, you can take the code and just paste it in the editor to see the results. In the second phase, you can make minor edits to the code and see the results. In the third phase, you will be able to completely reshape a program and see how it runs in the Python shell.

With the help of the information in this guidebook, you will be able to really work on all of this, even as a beginner, with the help of Python.

When you are ready to learn how to do some Python programming, how it can work with machine learning, deep learning, and artificial intelligence, make sure to check out this guidebook to help you get started!

What Are Algorithms

In simple terms, an algorithm refers to instructions that are arranged step by step and covering every important detail. The goal behind an algorithm is that by the time you finish following the final instruction, you would have solved a problem. The instructions in an algorithm should be arranged in a way that makes sense. That means they should be logical. You cant skip a step in the instructions. On top of that, you should also follow one step after the other in the designated order.

You cant go to step 5 then go back to step 3. One step is a prerequisite to the other steps. For instance, you cant tell someone to take a bite on sardines before you take them out of the can or maybe chop the potatoes first and then take them out of the fridge.

The right way to arrange these instructions is first to open the can of sardines first before you can eat them and take the potatoes out of the fridge, and then you can chop them up.

Think of an Algorithm as a Kind of Recipe

You need to follow the recipe exactly as it says, or else you dont get the results that you want. The same is true when you write a gaming program (or any other app or program for that matter).

You need to follow everything step by step. If you dont, you end up getting an error message, or you wont get the results that you were expecting to get. It may not be as detailed as it should be since you were supposed to fill in the rest of the tasks as part of the exercise, but those instructions are also another example of an algorithm.

Sample Algorithm

Making an algorithm can be easy with a little exercise. You can even think of algorithms for the things you do every day. In this section, well go over an algorithm for a simple everyday taskbrushing your teeth. Well go over the details of that task and the steps needed to accomplish it. After that, you will have to work on an assignment to outline the step by step tasks needed in another algorithm.

Brush Your Teeth Algorithm

Here is a simple algorithm for brushing your teeth.

Grab a tube of toothpaste in one hand and open the cap using your other hand.
With your other hand, grab hold of a toothbrush in an upright position with the bristles facing you.
Bring the tube of toothpaste that you were holding in your other hand closer to the bristles of the toothbrush.
Squeeze enough toothpaste onto the brush placing it on the bristles of the brush.
Put the tube of toothpaste down on the counter so you can begin brushing.
Open your mouth and smile.
Press the bristles of your brush against your front teeththis will apply toothpaste on your teeth.
Brush your front teeth with an up and down motion.
Do this for 10 seconds.
Press your brush against the molars on your jaw near your left cheek. Brush those teeth with an in-and-out motion (aka a forward and back motion).
Brush for 10 seconds.
Press your brush against the molars on your jaw near the right cheek this time. Brush with an in and out motion.
Brush for 10 seconds.
Take the brush out of your mouth and rinse it with water from the tap.
Grab a glass of water and gargle. Spit the water out into the sink.
You are done brushing.

As you can see from this sample algorithm, the instructions are very detailed. There are also smaller tasks or sub-tasks involved in the process of brushing ones teeth, such as how to open a tube of toothpaste, how to brush the front teeth, and how to brush the inside of your mouth. There is also a sub-section for rinsing your mouth. I can bet that you can think of other sub-tasks that you can add details to in the algorithm above. Maybe you would want to add details on how to gargle or maybe how to get the toothbrushs cap/container off.

Another interesting detail that you might have also noticed is that there are tasks or steps that are repeated. An example of this is brushing the insides of the mouth. You repeat the same steps to brush the teeth near the left cheek and also for the teeth near the right cheek.

Sub-tasks, repetition of steps, and detailed and orderly procedures are all programming concepts that you can use when creating games. You start by learning how to think logically and craft an algorithm before you write your game code.

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