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Algore - Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The basics of Machine Learning, to Clean Code and Improve Artificial Intelligence

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Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The basics of Machine Learning, to Clean Code and Improve Artificial Intelligence
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Python For Data Analysis

The Ultimate And Definitive Manual To Learn Data Science And Coding With Python. Master The Basics Of Machine Learning, To Clean Code And Improve Artificial Intelligence

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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 information contained within this book. Either directly or indirectly.

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

Intellectuals solve problems, geniuses prevent them

(Albert Einstein)

Table of Contents

Introduction

Python is among the most popular computer language programming tool initially created and designed by Guido Van Rossum in the late 1980s. Since its introduction into the computing world, Python has undergone multiple modifications and improvements, becoming among the leading programming languages used by developers. The tool is dynamically typed, object-oriented, multi-paradigm, and imperative. It is used across different operating systems, including Windows, Linux, Android, macOS, and iOS devices. It is also compatible with both bit 32 and bit 64 gadgets of phones, laptops, and desktops.

Despite comprising of several areas essential for programmers, Python is easy to learn, especially for beginners with minimal computer programming knowledge. Unlike most programming languages, Python accompanies an easy to use syntaxes where first time users can readily practice and become a pro within a few weeks. However, the programming processes may vary depending on the motive of the learner in programming. Despite accompanying multiple vocabularies and sometimes sophisticated tutorials for learning different programming techniques, engaging with Python is worth developing excellent programs.

Features of Python Programming

Simple Language

Most programming languages have complicated and lengthy coding languages, which may become cumbersome to beginners. Long and challenging languages may become hard to learn and remember, therefore hindering amateurs learning abilities. Python accompanies very simple and fantastic syntax, making beginners read and write programs without complications readily. Compared to Java and C++, Python enables you to work with ease while focusing on the outcomes.

Portability

With its ability to run in any operating system, Python allows for portability where you can readily transfer your codes and the general program from one device to the other without affecting your progress. This programming tool is quite useful for developers who change devices or transfer data from one platform to another. You can, therefore, run your program in the new machine seamlessly with little alliteration. Besides, Python allows the continuation of your application to your primary system and effectively run as intended.

Standard Libraries

Today, all programming languages consists of libraries where you can quickly select a program, make modifications are necessary, and execute your codes. Some of these libraries may have limited coding lines, which will, therefore, require you to write your program. On the other hand, Python comes with an extensive standard library that comprises all your programming needs. For example, it consists of the MySQLdb library, which allows you to connect to the MySQL database without creating a pathway. As such, Python becomes among the leading programming tools to be commercially used when dealing with thousands of data as you can quickly retrieve and run with ease.

Free Open-Sources

Python also offers a fantastic free and open-source where you can use the tool in different areas, such as commercial use. Unlike other programming tools, a developer can choose to make changes to the program or select the desirable dataset to suit the field at hand, mainly in the Python source code. While being used across several areas in the computing community, Python has experienced a constant increase in usage, becoming more simple benefitting beginners.

Downloading and Installing Python

Like most computer software, Python can be downloaded, run, and installed in a system for it to function with ease. However, this tool may become challenging during download or updating, depending on the operating system. Some systems such as macOS and Linux typically accompany a preinstalled Python version, which is mostly outdated. These versions of Python will hence require an update, which usually uses unique techniques. On the contrary, other operating systems such as Windows and Android devices require a user to visit the Python homepage or other relevant websites, download and install the software.

Python Development and Application

Python development is usually undertaken by the Python Enhancement Proposal (PEP), which has led to creating the most advanced and latest version. PEP has enhanced the features, Python documentation, and the creation of bug fixes essential for eliminating problems arising during programming. Besides, it has managed to design modern coding processes and extend standard libraries to suit all developer needs during the creation of programs. In most cases, PEP collects information from developers utilizing Python and develops solutions to major problems raised.

When Python was first released in the 1980s, it accompanied multiple benefits but with numerous faults within the tool. Over the years, the Python Software Foundation has made significant modifications indicating differences between Python 1.0 and Python 3.7 used today. Python has henceforth gained popularity over time and applied in various areas in the computing community. For instance, the programming software has been used to create Web apps in different websites such as Instagram, Mozilla, and Reddit. Other applications include the computation of both scientific and numerical values and the development of software prototypes. Due to its easy to use language, Python is widely used in educating children and beginners interested in learning computer language skills.

Python Variables

Python variables are named sections used to store codes in the system memory used mainly to develop programs. Variables are critical in Python, especially for programmers who create complex programs in need of multiple code values. Unlike other programming software like Java and C++, Python doesnt demand variable declaration as they instantly change after being named. Python variables, therefore, are memory reserves used to store values fed to the program when needed. The data saved usually varies depending on the data type; for instance, they may be stored in Numbers, Lists, Tuple, or as Dictionary.

Lists include ordered and changeable data written in the form of my computer with double-quotes. You can access values within the list using index numbers, which are written up to negative integers. Dictionaries entail indexed and changeable variables but remain unordered and written with single curly quotes. Accessing values in dictionaries consist of inputting a keyword in parentheses, which also helps other functions such as looping, making changes, etc. Numbers are of three forms int, float and complex representing different number value stored while tuple consists of data values which are ordered but remain unchangeable.

Naming Variables in Python

The naming of variables, especially in Python, is useful as it makes these storage units easily identified by a different programmer. Naming is smooth, unlike other programming tools, as beginners can assign a name to a given variable. However, assigning titles in any computer language programming process follows specific rules to ensure that the names are practical and easily recognized. Some names may lack a desirable representation of what is included in a given variable, thus causing confusion between programmers. Some of these rules are:

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