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Khan - Python for Beginners: The Crash Course to Learn Python Programming in 3-Days (or less). Master Artificial Intelligence for Data Science and Machine Learning + Practical Exercises

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Python for Beginners: The Crash Course to Learn Python Programming in 3-Days (or less). Master Artificial Intelligence for Data Science and Machine Learning + Practical Exercises
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Khan / Aaron
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2020
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Python for Beginners

The Crash Course to Learn

Python Programming in 3-Days (or less).

Master Artificial Intelligence for Data

Science and Machine Learning + Practical

Exercises.

Table of Contents

This eBook is provided with the sole purpose of providing relevant information on a specific topic for which every reasonable effort has been made to ensure that it is both accurate and reasonable. Nevertheless, by purchasing this eBook, you consent to the fact that the author, as well as the publisher, are in no way experts on the topics contained herein, regardless of any claims as such that may be made within. As such, any suggestions or recommendations that are made within are done so purely for entertainment value. It is recommended that you always consult a professional before undertaking any of the advice or techniques discussed within.

This is a legally binding declaration that is considered both valid and fair by both the Committee of Publishers Association and the American Bar Association and should be considered as legally binding within the United States.

The reproduction, transmission, and duplication of any of the content found herein, including any specific or extended information will be done as an illegal act regardless of the end form the information ultimately takes. This includes copied versions of the work both physical, digital and audio unless express consent of the Publisher is provided beforehand. Any additional rights reserved.

Furthermore, the information that can be found within the pages described forthwith shall be considered both accurate and truthful when it comes to the recounting of facts. As such, any use, correct or incorrect, of the provided information will render the Publisher free of responsibility as to the actions taken outside of their direct purview. Regardless, there are zero scenarios where the original author or the Publisher can be deemed liable in any fashion for any damages or hardships that may result from any of the information discussed herein.

Additionally, the information in the following pages is intended only for informational purposes and should thus be thought of as universal. As befitting its nature, it is presented without assurance regarding its continued validity or interim quality. Trademarks that are mentioned are done without written consent and can in no way be considered an endorsement from the trademark holder.

Introduction

In python programming, the English language is mainly used in coding many keywords. The mastery of these keywords means knowledge of the fundamental aspects of python programming. However, before delving into these primary keywords, you have to understand the basic concepts associated with Python. These concepts are necessary to understand every other aspect of the scripting language. Below, a detailed outline is given in these basic concepts.

Properties:

Python is typically typed in an implicit and dynamic format; hence, there is no requirement to declare variables. These types are enforced, and the variables are sensitive to cases. For instance, bar and VAR are considered to be two distinct variables in themselves. There is no definite array of characters used to terminate statements in Python. The use of indentations specifies blocks; thus, to begin a block you indent, and to end it, you de-dent. Any statement which expects a level of indentation is concluded using a colon sign. The sign (#) is used in each line to add comments. In making multi-line comments, multi-line strings have to be used. Assigning values is done using the sign (=) and equality testing are carried out with the use of two signs of equality (==). Values can be incremented or decremented with the value on the right side using the operators (+=) and (-=). Operations of this sort can also be done on strings as well as other data types. Multiple variables can also be used on a single line.

Variables:

Consider variables to be a word which codes, stores, or contains a value. In python programming, defining a variable and assigning a value to it is a relatively straightforward process. For instance, if you want to store a number, you can assign it to a variable. You could assign 5 to a variable named five." You can assign a value to any variable of your choice. The variable two stores the integer 2, and some_number is used to store 10000. Asides integers, booleans (True or False), float, strings, among others constitute the data types used in python programming.

Looping and Iterator:

There are several forms of iteration in python programming, but in this segment, only two would be talked about. for and while."

While Looping:

While the statement entered is True, the code passed into the block would be run. The code would proceed to print numbers 1 to 10. A loop condition is needed to run a while loop, and should it continue being True, iteration continues. Lets consider an example of a variable num." When NUM is 11, the loop condition evaluates to False. That is, iteration would continue until it is set to False.

For Looping:

When a variable num is passed to the block, the for statement iterates it. The code would print similarly as the while code from numbers 1 to 10.

Quotation:

String literals are denoted by single ('), double () or triple (' or ) quotes in Python, provided the type of quote used to begin the string is used to end it as well. In spanning the string across multiple lines, the three quotes (''' or ) is usually used. Lets consider an example below;

word = word

sentence = This is a sentence.

paragraph = This is a paragraph. It is made up of multiple lines and sentences.

Python Identifiers:

A python identifier refers to a name used in showing the identity of a function, variable, class, object, or module. Identifies typically begin with a letter from a to z, or A to Z or an underscore (_) closely succeeded by zero or more underscores, digits (0 to 9) and letters. In Python, punctuation characters like modulus (%), at (@) and the dollar sign ($) are not allowed as identifiers. Moreover, as was earlier discussed, Python is case sensitive and would interpret Manpower and manpower as two distinct identifiers in themselves.

Below are some naming conditions for Python identifiers:

All class names begin with a first letter in the uppercase while other identifiers begin with lower case letters.

Beginning an identifier with one leading underscore is an indication of a private identifier. On the other hand, starting with two leading underscores shows that the identifier is strongly private.

Should the identifier end with two trailing underscores, the identifier is said to be a language-defined special name.

Suites:

Suites refer to a group of individual statements which combine to form a single block of code. Complex statements like while, if, class and def need a suite and a header line. Header lines start a statement with a keyword and are terminated by using a colon sign (:) which is closely succeeded by one or multiple lines which constitute the construct of the suite. For instance;

if expression:

Suite

elif expression:

Suite

else:

Suite

Importing:

In python programming, external libraries can be accessed by using a specific keyword; import[library]. For individual functions, you can use [libname] or [funcname] to import. Lets consider an example below:

syntax:

import random

from time import clock

Strings:

Strings are made using single or double quotation marks. It is also possible to use quotation marks of a specific kind in a string which uses a different one. As such, the following string is valid in Python:

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