Newly Free Programming Kindle Book Listings for 2019-11-18 AU CA DE UK USA

Newly Free Python Kindle Books for 2019-11-18

Python Analysis: The Guide to Learn How to Use Python for Data Analysis. Learn the Essential Tools for Beginners to Work with Data. (Artificial Intelligence Book 4)
by Oliver Soranson
$0.00, 139 pages, 4.7 out of 5.0 (12 reviews), #5 in Python Computer Programming

Today, Python is imposing itself in many fields as a language of reference programming. In the context of data science, it proves to be a leading tool for articulating complex projects with a "universal" language. Today, it is the ideal tool for setting up prototypes and a great ally for big data, machine learning, and deep learning.

This book will guide you through this simple language and deepen your use as a data scientist.


The aim is to give you the tools you need to understand and use Python's use of data science. If you are or want to become a data scientist, mastery of Python today is an important advantage and tends to become a prerequisite.


This book will allow you to take in hand this language and to understand all the subtleties in order to be able to develop in Python processes of data science.


Our goal here is not to present methods in a theoretical way but rather to illustrate the application of data science methods thanks to the Python language and all its specificities.


This book is for data scientists or future data scientists. In a broader way, it will interest all those who, on a daily basis, process data and attempt to implement data processing in concrete frameworks.


More specifically, it is intended for:

  • Business Intelligence professionals who want to analyze their data more precisely thanks to a new language.
  • Statisticians (especially those using SAS or R) who need to set up automated processes and who want to learn Python.
  • Developers who want to acquire competence in data science with the use of Python.
  • To master's degree students in computer science or statistics who wish to learn and improve their Python language by working on practical cases.
  • Analysts and consultants who manage projects and data analysis in Python as part of their activities.
  • Happy reading!


Python for Data Analysis: Master Deep Learning With Python And Become Great At Programming.Python For Beginners With Hands On Project
by Paul Jamsey
$0.00, 93 pages, 4.5 out of 5.0 (13 reviews), #319 in Python Computer Programming

Are you interested in learning more about your competition, and how they can benefit from some of your products and services? Are you interested in seeing what deep learning, machine learning, and data analysis are all about and how they are going to be able to help you to get more out of your business and make good decisions about the future of your company? Would you like to see how all of this is going to come together and make you more profitable than ever?


This guidebook is going to be the perfect companion and tool for your needs. You will find that we will talk about all of the topics that you need to know when it comes to working with data analysis and data science in no time. and it will not take long before we actually use some of these projects and processes on our own as well.


Many companies want to find ways to get ahead of their competition and provide the best options to their customers all at the same time. And they want to make sure that they are making some of the best decisions that you need in order to get ahead in your competition.


There are so many benefits that come with working in data science, data analysis, and deep learning, and finding time to it it all in and making it work can seem complicated. This guidebook is going to be the tool that you need to get this all under control. Some of the topics that we are going to discuss in this topic and will ensure that we can get this process down includes:

  • What is deep learning

  • How to conduct a data analysis

  • The different Python libraries that you are able to use for deep learning.

  • Understanding some of the math behind neural networks.

  • The basics of working with the TensorFlow library that can help you with your deep learning project.

  • How to handle the Keras library for your needs.

  • The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning.

  • Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about.

  • How deep learning is going to be helpful when it is time to handle your own predictive analysis.


Deep learning, machine learning, and data analysis are important parts of many businesses today. These topics and processes are going to help us to really explore the industry, the customers, the competition and more that are going to come out when we want to help our business succeed and when we want to figure out what steps we need to take in order to get ahead of the competition. When you are ready to learn more about data analysis and deep learning, make sure to check out this guidebook to help you get started.




Data Science Python: How to Work with Data with Python Programming Language. The Ultimate Guide on What you Need to Know to Work with Data Using Python. (Artificial Intelligence Book 6)
by Oliver Soranson
$0.00, 110 pages, 4.8 out of 5.0 (7 reviews), #8 in Python Computer Programming

Have you heard all the buzz around data science, but you are uncertain about what it all means, or how your business can benefit? Do you want to actually gain some insights about your business, your customer, and your competition, but you aren’t sure where to start?


Data science is something that all businesses can benefit from. From gathering the data to cleaning it off, and organizing it to make sure that it works with the algorithm model that you choose, data science is the process that you need to use to get ahead.


This guidebook is going to take some time to explore data science and all of the different parts that go with it. Some of the topics that we are going to explore in this guidebook concerning data science will include:

  • How the Python coding language can help to make data science work.
  • The importance of data science and why we need to work with it.
  • Some of the best Python libraries to use with deep learning and data science, including Pandas, NumPy, and more.
  • The steps needed with data science, including gathering data, organizing, and cleaning the data, wrangling the data, and data visualization.
  • Some of the basics of machine learning and how to make this work for your needs
  • Some practical examples to ensure that we can see how Python data science really works.


Data science is a game-changer when it comes to your business and the way that it can make predictions, create business strategies that are based on data, and gain a competitive edge. When you are ready to learn how to work with data science with Python today!



Python Programming: A Comprehensive Smart Approach for Total Beginners to Learn Python Language Using Best Practices and Advanced Features
by Ethem Mining
$0.00, 152 pages, 5.0 out of 5.0 (5 reviews), #10 in Python Computer Programming

Are you interested in learning programming and don’t know which language to learn? Or maybe you have heard of Python as a programming language and you hesitated in learning this particular language? Are you a total beginner with absolutely no background or any skill in programming? Do you want to learn and master some programming skills?


This book is designed specifically for total beginners not only in Python but also beginners with programming skills at all. This book does not require any pre-skills set. On the contrary, this book provides the basic tools to start programming with Python. If you are a new programmer or already know some programming languages, you are probably wondering why to learn Python while there several other languages. First of all, Python has a lot of attractive features which include readability, simple syntax, rapid execution. In addition to more advanced features, Python is the widely used language for a wide range of applications. If you want to learn quickly how to develop an application with an easy yet sophisticated and efficient language, Python is the right choice.

By reading this book, you will learn more about the features and applications of Python. You will develop and acquire the basics and fundamental skills to start developing your own applications in Python.


Overall, once you finish reading this book, you will learn:

  • How to run your Python scripts

  • What is the different types of variables in Python

  • How to handle and process the built-in data object in Python which are numbers, strings, lists, dictionaries, tuples

  • What is the basic and rules of Python syntax

  • How to use operators, if tests, loops with breaks, and continue in order to process data

  • How to detect and raise exceptions in your scripts

  • How to develop functions, modules

  • How to import and make use of modules in any program

  • How to debug your programs with Python debugger

  • How to handle (i.e. write and read) files in Python

These are the major topics and skills you will develop by reading this book. Each topic is covered in a separate chapter with code examples that allows practicing for optimal learning. Overall, this book was designed to help beginners to acquire skills in programming with Python with real explained examples. Hence, you will not only learn Python, but you will also get a chance to run code examples. These examples are explained and provided you with an illustration of possible ways to code and the outcome.


Would You Like To Know More?


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PYTHON MACHINE LEARNING: A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.
by Josh Hugh Learning
$0.00, 134 pages, 5.0 out of 5.0 (4 reviews), #30 in Machine Theory (Books)

Are you Interested in Learning Some of the Best Machine Learning Algorithms that Will Help you to See Some Amazing Results and Actually be Able to sort Through your Data?
› › › keep reading › ›




This guidebook is going to take some time to look at how to handle working with a Python machine learning project. We will explore all of the different parts that need to come with this, including some of the different algorithms that we are able to explore and use to help sort some of our data. This is a crucial step before diving further into machine learning with Python as this will give you a bird’s eye view of what possible algorithm to use and what is best suited for your situation and what you want to do with the findings.


There are so many different algorithms and more that can be used and figuring out which one is going to help with your analysis and ensure that you are able to get the results that you want is going to be tough. With the help of this guidebook, you can finally get started on your data analysis process, and figuring out the best steps to take to handle your data with the right algorithm, in no time.


There is so much that we can explore when it comes to Python machine learning, and we are going to dive right into all of it. Some of the topics that we are going to discuss in this guidebook about.


You will learn:


  • The basics of machine learning and why it is so important to learn.

  • The importance of data and the different types of data that show up in Python and how to use these in machine learning.

  • Some of the supervised learning algorithms that work with regressions, including polynomial regression, gradient descent, linear regression, and cost function.

  • How to work with regularization and avoid the issue of overfitting.

  • Some of the best-supervised learning algorithms of classification, including Logistic Regressions.

  • How to work with non-linear classification models, like SVMs and neural networks, for your needs.

  • The different validation and optimization techniques that you can use to make sure your algorithms respond the way that you want them to.

  • Moving on to some unsupervised machine learning that we can use, and the best clustering algorithms along the way.

  • A look at the Principal Component Analysis and the Linear Discriminant Analysis and how they compare to one another.


A lot can come into play when you work with machine learning, and when we combine the Python language, we would be able to create some of the best data analysis that we need. Combining both machine learning and Python will open doors of opportunity for us when it comes to improving or adding that little extra in our process. When you are ready to learn more about Python machine learning, scroll the top of the page and select »» BUY NOW ««.





Python Data Science Handbook: The Ultimate Guide to Learn How to Use Python for Data Analysis and Data Science. Learn the Essential Tools for Beginners ... with Data (Artificial intelligence Book 5)
by Oliver Soranson
$0.00, 159 pages, 4.7 out of 5.0 (5 reviews), #4 in Python Computer Programming

This book in detail will deal with a lot of concepts in layman explanation. Data science is one of the pioneers and most fast-developing tools now to develop applications. A little to know in a better way of this guide will help you understand a lot of things for the data science application. Here in this book, we will deal with many concepts that are either directly or indirectly linked to data science. First, we will start with a brief explanation of the data. Data is one of the most important things today. We will classify the data many times and in the next, we will discuss in detail the applications that machine learning and data science that deals with. In the next section, we will have a topic that will discuss all basic concepts in very little time. We will also discuss an example model that helps us understand things vividly. Also, there are a lot of concepts like NumPy, Pandas that should be dealt with in detail. We will also discuss data operations in detail. These are important and easy to learn. In the next few chapters, we will discuss topics like privacy and ethics. Below we will in detail list the main topics that are included in the book.

  • · Explanation of data and types of data
  • · A lot of explanation about third party libraries
  • · Introduction to python
  • · Introduction to a lot of python basic concepts
  • · Basics of machine learning
  • · Basics of data science like data modeling
  • · Understanding complex topics like NumPy and pandas
  • · A lot of description about privacy and ethics

Why are you waiting for? Go grab this book.



Python Programming for Kids: Discover Tips and Tricks with this Parent and Teacher Friendly Guide for Kids
by Simon Weber
$0.00, 127 pages, 5.0 out of 5.0 (3 reviews), #2 in Python Computer Programming

This book is a go-to for every person who’s looking to learn computer programming in the most simplified way, as it has been written in a manner that kids can comprehend.

Although it says it’s For Kids, it is indeed for everyone — parents, teachers, students, and adults who are interested in the basics of computer programming, whether for the fun of it, or to take advantage of the tech and digital age we’re in.

It contains all the basic knowledge anyone who’s just being introduced to coding needs to know.

Python isn’t like regular human language, so this book has been created in chronological order that allows you follow the programming thought process step by step so you’ll never be overwhelmed.

All the content has been codified into eleven chapters that are concise and straight to the point on all topics. The bulky topics are broken down into smaller subtopics for easy understanding and they come with examples to walk you through.

Every chapter contains tips and tricks that highlight the major points. The fun and games that have been highlighted in this book are those that young people cannot say no to.

The book has been written in a manner that will encourage children (and you) to explore the many options that Python programming provides.

If you’re looking to learn coding in the most straightforward way, while having fun at the same time, then this book is a must have for you.

It’s time to broaden your vision, enhance your child’s creativity and skills and step into the programming world.

Why should only adults have all the fun?

Grab a copy of the book and enter the world of programming!



PYTHON PROGRAMMING: Advanced Python Applications and Features: Object-Oriented Programming, Data Analysis, Artificial Intelligence and Machine Learning with Python
by CODING ACADEMY
$0.00, 95 pages, 5.0 out of 5.0 (3 reviews), #4 in Two-Hour Computers & Technology Short Reads

Are you interested in learning more about your industry and your competition?

Would you like to reduce the level and amount of risk you undertake, while still increasing your profits?

Have you had an interest in data science, but you aren’t quite sure how to work with it?


Then this is the guidebook for you!


In this guidebook, we are going to explore how we are able to use Python programming to help us handle our own data analysis. With the help of artificial intelligence, machine learning, and deep learning, we will be able to take the simplicity of our Python coding and use it to create strong models and algorithms that will handle all of our data analysis in one place

This book is going to go into depth about the coding and the different processes that you can use when it comes to Python and machine learning for your data analysis needs.

Some of the different topics that will be discussed include:

  • The importance of the Python language and why so many programmers enjoy using this for their data analysis.
  • How to handle object-oriented programming and why it is the best kind to handle data analysis.
  • A look at some of the steps that come with our data analysis.
  • A look at artificial intelligence, machine learning, and deep learning and how these can come together, with the help of Python, to get some amazing results.
  • The Pandas library and some of the neat codes you can write with it.
  • How to handle some of the different machine learning algorithms, with the help of Python, to analyze any data you want.
  • Tips and tricks to handle any problems that come up with your code to ensure you can keep working towards your goals.


Python programming is one of the best options that you can use when it is time to handle data analysis and even machine learning. These go together so well, and with a bit of practice and learning how to use these algorithms, it is easier than ever for you to step up and write your own codes as well.

If you are ready to learn about Python programming and what it can do for your business, along with data science and machine learning, make sure to check out this book to get started. Grab a copy and start this fantastic journey of learning today!



Python for beginners: learn computer programming with python now and how to use it with this step by step guide that gives you the basics of python coding + practical exercises
by Adam Harris
$0.00, 147 pages, 5.0 out of 5.0 (2 reviews), #14 in Python Computer Programming

Do you want to learn Python, but you don't know which book to buy? If so, keep reading.

Most of the aspects of Python have been discussed in this book, so you will have the basics to start with no problem. Most people buy programming books for beginners, but most of those books have one problem: don't accompany the reader step-by-step.

This guidebook is meant to be a great introduction to working with the Python language for beginners. There are a lot of parts that come in, and many times a beginner is going to look at is all and be worried that they don't understand how it works, or that they will never be able to code at all. But with some of the examples and exercises explored in this guidebook, you will find that even some of the more complex parts of the code are going to be easier to handle, and you will be able to use those as ways to really write some of your own code along the way.

What is Python?

Python is a powerful programming language that can be used for development of various types of applications. It is an object-oriented programming language which supports the use of the object-oriented programming concepts.

Here are some of the content covered in this guide:

  • Programming Environment

  • Data Analysis with Python

  • Fundamentals of Statistics

  • Visualization and results

  • Writing Loops in Python

  • K-Means Clustering

  • Support Vector Machines

  • Variables and Data Types

  • How to install the Python Interpreter

  • How to use the Python Shell, IDLE and write your first program

  • Strings

  • Control Flow Introduction

  • Programming Languages and Creating a Program

  • Common Programming Challenges… AND MORE!!!

If you are a beginner to programming, Python is a good language, to begin with. It will help you to have a solid background for you to learn any other type of programming language. You will be able to add in a lot of classes, objects, and functions in this, and that can make life so much easier overall. You can always work just with the libraries and extensions that come with the Python language when you download it, or you can go through and add in some third party libraries to this if you would like some special features and more to work on your codes.

What are you waiting for? Click buy now button.



Python Programming: A beginners’ guide to understand machine learning and master coding. Includes Smalltalk, Java, TCL, JavaScript, Perl, Scheme, Common Lisp, Data Science Analysis, C++, PHP & Ruby
by Adam Bash
$0.00, 128 pages, 5.0 out of 5.0 (1 reviews), #13 in Python Computer Programming

Have you been seriously thinking about digging into programming but don’t know where to start? Are you looking for a quick boost to your career growth?


In this Python programming crash course, you will be guided by a quick and thorough introduction intended solely for beginners who want to understand Python programming and learn how to write helpful programs.
The book is aimed at getting you fast enough to accelerate and get you to write real programs in no moment. This book is also designed for programmers who have a vague language understanding and would like to brush up their knowledge before trying to program their Python hands-on.


The aim of this ultimate guide is to keep each section's thoughts and provide step-by-step guidance to make the learning experience smooth and gradual.

It will also address how any future frustration can be reduced. Each code unit is tested, executed and re-read closely. In addition, the INTERACTIVE exercises are optimized for the highest level of commitment, meaning you're not going to get bored to death.


Here is what you will find in this book on Pythons for Beginners:

  • A History of Python and the basic concepts of Python Programming

  • How to prepare your computer for programming in Python and how to install Python on Windows, Mac, and Linux. Screenshots included.

  • Python functions that you'll use often.

  • How to work with various data types including strings, lists, tuples, dictionaries, booleans, and many more.

  • How to begin creating the Command Line Search Tool and make programs with Python Sockets

  • And much more...


After reading this book, you will realize that Python Programming is not difficult at all and you don’t need to be rocket scientist to learn it.This revised and thoroughly tested Python guide will get you up to speed and quickly get you to write true programs.


So, what are you waiting for?

Scroll Down and Click the buy NOW button!



python for data science : the introduction to computer for absolutely beginners and advanced
by Jason Cannon
$0.00, 110 pages, 5.0 out of 5.0 (1 reviews), #6 in Python Computer Programming



If you are aspiring to be one of the recognized programmers using Python programming language and understand more on data management and analysis, then this is your book. The chapters in this book highlight some of the crucial statements in Python programming as well as the fundamental basics before going ahead and creating your first program. With computer programming becoming the thing of the future, most computer users wish to understand different values, codes and execution of these characters take place. As such, this book is the best choice for you.


It does not matter how deep you are with programming or if you are venturing into Python programming. This book comprises of chapters, which provide a systematic guide on how to meander through the basics of Python programming and reach the depths of punching your first codes. That said, the first chapter describes the basics, which are introductory part of understanding Python and learning about its incorporation, versions and acquiring it in your device. With different operating systems available today, downloading, installation and updating the software may become challenging, but the book provides a reliable tutorial to achieve this.


Similarly, the next chapter highlights variables typically used in Python to facilitate its operations. Python, like most programming languages, utilizes different variables to run its functions efficiently and obtain the required information. As one end, this chapter begins with an introduction to Python variables and goes ahead detailing the different types essential for the package. At one point, the section allows you to understand different other terms related to Python variables and creates a relation between the two for a more in-depth understanding of how these operations work. With the need to store data, codes, and values essential for running programs, Python, therefore, depends on variables for naming and storage of these items.


In the last chapter of this book, we venture into computer data management and analysis, which also plays a vital role when it comes to managing data. Well-maintained data suggests that users have a straightforward manner of creating, recording, accessing, retrieving and making changes where need be. As such, this book also offers vital elements in computer data management as well as a focusing on databases, which are the most common data management tools today. Data management has become the most useful component in computing, especially with the growing amount of data today. Data analysis, on the other hand, has been highlighted for you to understand some of its necessity primarily when seeking answers to specific problems. Data analysis exists in two forms; qualitative and quantitative analysis both detailed in this book.


Inside You Will Find

· Definition and more in-depth understanding of Python programming language in computing

· The history, features, versions, and application of Python programs

· Different ways of downloading and installing Python various operating systems which are much unique across each machine

· Python variables including the definition of critical terms and the naming of different variables

· Types of variables and data variables in Python

· Computer data management and analysis

· Structures of database management systems, data modeling, integration and storage

· Phases of data analysis of both qualitative and quantitative methods of analyzing data…and more.



Learn Python Programming: A Beginners Guide to Learn the Hard Way Visually in One Day and Learn It Well Hands-on Learning With Basics Of Computer Language And Python Coding With Practical Exercises
by Phil J. Hack
$0.00, 143 pages, 4.0 out of 5.0 (1 reviews), #9 in Python Computer Programming

Have you been thinking about learning Python Programming for long time? STOP wasting time!! Keep reading and learn more..


If you came across this book I am sure you know the incredible impact Python Programming has these days.

Python is a simplistic language, however, without something to guide you through the fundamental concepts of programming, you can easily learn everything the wrong way and someday anger all of your programmer friends.


With the help of this Python Programming, you will take the very first step in exploring programming in general, as well as the capabilities of Python.


In this book you will learn all the core concepts, one step at a time and this is the same approach you should take when practicing. You will learn new operations you can perform on the various data types and data structures, and then work to get used to relying more and more on object-oriented programming techniques.

Use this knowledge to pursue machine learning projects, create robots, or build the next big web application that will take over the world.


More specifically this guide will take you through:

  • Specific Python Basic Syntax Rules, Variables and Values
  • The Theory of Computer Programming
  • Working With Your Objects And Classes Inside Of Python
  • How to Use Your Python Skills
  • Working with the K-Nearest Neighbors Algorithm
  • Making a Basic Python Game: Hangman
  • Machine Learning Models
  • Tips For Success
  • Practical exercises to text your skills…and MUCH MORE!!


Even if you aren’t an expert, you don’t need any kind of special talent to become a programmer, or even a data scientist.

All you need to do is understand the theory and then put it in application. If you can’t grasp it at first, break it down and study it line by line.


Squeeze the knowledge out of Python and apply it in the real world!


Scroll to the top and select on the right the BUY NOW with 1-Clickbutton.



Python Programming for Beginners: A 7 Days Practical Guide to Fast Learn Python Programming and Coding Language (with Exercises)
by James Deep
$0.00, 200 pages, 0.0 out of 5.0 (0 reviews), #1 in Python Computer Programming

Looking for a simple, complete and effective book on Python?

Do you want to approach its programming language?

If yes, then keep reading.



Have you had a dream to learn how to work with a coding language, to handle some of the different parts of your website, your computer, or even create your own application? Have you taken a look at some of the older coding languages and felt scared to even get started because they looked too difficult?

The Python language is the right option for you to choose when you want to learn a language, and you want to make sure that it is as simple as possible. This updated Python Programming book will assist you quickly write efficient and high-quality Python programs. It is the best way to begin, whether you are a newbie to programming or a professional with prior experience in other programming niches.

Get an in-depth and detailed introduction to the Python programming language using this hands-on guide! It is equipped with many exercises, helpful illustrations, and quizzes easy-to-follow. This self-paced book gets you on the go with both Python - the latest releases in the 3.X and 2.X lines - and all other releases in use today.

You will also learn some advanced language characteristics that nowadays have become useful in Python programs.

Inside this book you will find:

• Python’s built-in object types such as numbers and sets

• A detailed explanation of data structures

• An advanced explanation of clustering with example

• Object oriented programming using Python

• Functions

• Polymorphism

• Inheritance

• Lists

• Tuples

• Time and Date

• Scope and lifetime of variables

• A program for coming up with a simple calculator using Python Language

...and many more amazing and interesting topics!

In a matter of a few days you will be familiar with Python’s building blocks, such assets, strings, dictionaries, and tuples; and be on your way to writing any program that you have ever dreamed about!


Want to know more?

Scroll to the top of the page and click the “buy now” button!



Newly Free JavaScript Kindle Books for 2019-11-18

Computer programming Javascript: step-by-step beginner’s guide on how to start to programm your first website using Javascript + practical exercises
by Adam Harris
$0.00, 180 pages, 5.0 out of 5.0 (1 reviews), #69 in Java Computer Programming

If you want to learn the programming language that allows you to master the websites or if you want to improve your skills with this langage, then keep reading.


What is JavaScript?

JavaScript is an object-oriented scripting language, which is lightweight and works in cross-platform such as Mack, Linux, or Windows. It is a scripting language created in 1995 by Netscape as a means of validating forms while offering interactive content for websites. The language has evolved over time with it being used by various web browsers.

Why should I Study JavaScript?

You should study JavaScript because it is among the three fundamental languages every web developer must learn and understand. With HTML, you can define your web page contents whereas CSS allows you to identify your web page layout; however, with JavaScript, you can program the actions of these web pages.

JavaScript has changed the way things are done. Initially, after filling a form, one had to submit it to the server so that it could be checked for any anomalies. If anomalies were found, the server would return the form to the user in order to correct the details. With JavaScript, validation is done before the form can be submitted to the server. The user is able to know any errors done while filling the form and correct them accordingly. This has made things easy for users.

This guide covers the following topics:

Use of a global variable as a cache

The basics of javascript function and scope

Loop constructs

An introduction to es6

Form

Iframe and multimedia

The document object model

Clauses

Operators, data types and other priorities

Document object model (dom)

Events (not the kind you celebrate)

A storing information in variables

Javascript essentials

Regular expressions

Basic data types of variables

The window object

Maps and sets… AND MORE!!!

"Is this the book for me?"

Sure, it is. Because this guidebook is written with the intention to help both beginners and professionals to understand the programming language for the web more efficiently.

So now, scroll up and click the buy now button.



Newly Free PHP Kindle Books for 2019-11-18

HADOOP AND PHP FOR BEGINNERS: 2 BOOKS IN 1 - Learn Coding Fast! HADOOP Programming Language And PHP Crash Course, A QuickStart Guide, Tutorial Book with Program Examples, In Easy Steps!
by TAM SEL
$0.00, 183 pages, 0.0 out of 5.0 (0 reviews), #xx in Kindle Store > Kindle eBooks > PHP
YOU WILL SAVE 33% WITH THIS OFFER.
This Books Absolutely For Beginners:
“HADOOP FOR BEGINNERS” covers all essential HADOOP programming knowledge. You can learn complete primary skills of HADOOP language fast and easily.

"PHP FOR BEGINNERS " covers all essential PHP language knowledge. You can learn complete primary skills of PHP programming fast and easily.

Table of Contents
HADOOP
What is Big Data
What is Hadoop
Hadoop Installation
HADOOP MODULES
What is HDFS
HDFS Features and Goals
What is YARN
HADOOP MapReduce
Data Flow In MapReduce
MapReduce API
MapReduce Word Count Example
MapReduce Char Count Example
HBase
What is HBase
HBase Read
HBase Write
HBase Installation
RDBMS vs HBase
HBase Commands
HBase Example
Hive Tutorial
What is HIVE
Hive Architecture
Apache Hive Installation
HIVE Data Types
Hive - Create Database
Hive - Drop Database
Hive - Create Table
Hive - Load Data
Partitioning in Hive
Dynamic Partitioning
Hadoop Interview Questions
PHP FOR BEGINNERS
CHAPTER 1
About PHP
Scripting Language
Programming Language Vs Scripting Language
PHP Syntax
Why use PHP?
CHAPTER 2
Install PHP
XAMPP
Why use XAMPP?
Basic Web server configuration
What is the best PHP IDE?
Running your first PHP Example
CHAPTER 3
PHP Data Types, Variables, Constant, Operators
PHP Variable
Use of Variables
PHP Operators
CHAPTER 4
PHP Array: Associative, Multidimensional
PHP Associative Array
PHP Array Functions
CHAPTER 5
PHP Control Structures: If else, Switch Case
PHP IF Else
PHP Switch Case
PHP Loop: For, ForEach, While, Do While [Example]
While Loop
CHAPTER 6
PHP String Functions:
PHP Create strings
PHP Function: Numeric, Built in, String, Date, User Defined
Built in Functions
PHP Registration Form using GET, POST Methods with Example
Create a form
CHAPTER 7
PHP File() Function:
PHP File Formats Support
PHP files Functions
PHP Try Catch Example: Exception & Error Handling
PHP Error handling
20 PHP Interview Questions and Answers
CHAPTER 8
MySQL for Beginners
What is a Database?
What is a Database Management System (DBMS)?
Types of DBMS
What is SQL?
CHAPTER 9
Database Design
Database designing
MySQL Create Database, Tables, Data Types
Creating Tables MySQL
CHAPTER 10
DATA TYPES
MySQL WHERE Clause
MySQL query INSERT INTO Table
MySQL UPDATE & DELETE Query
SQL vs MySQL: What's the Difference?
20 SQL Interview Questions & Answers





Amazon Searches  Reddit  eReaderIQ  BookBub  Galaxy Magazine  OverDrive  Gutenberg  Notifications

Notes and Tips


I started making these lists for my own use in 2013 when an Amazon policy change gutted all of the web sites that listed free Kindle books. Before the policy change, those sites would get some amount of compensation for directing people to the Amazon web site. After the policy change, they lost all compensation for the month if most of their referrals that month were for free books. So most of those web sites stopped listing the free books.

I use the description "newly free" for these book lists. That means I won't list a book again if I've listed it recently. There are so many books that are permanently free, or frequently free, that it makes it difficult to find "newly free" books manually looking through the Amazon search results. There are just too many repeats every day. But I have included the links to those Amazon searches on the category headers, so you can always click the link to see the full list if you'd like. My process just extracts the "newly free" books from those search results, by keeping a record of books I've listed in the past.

The lists are designed for easy navigation through the books. Clicking on the blurb of any given book will bring the next book in the list up to the top of the screen. This makes it easy to quickly go through them one-by-one. Each category header has an index of the various categories available, and also shows the number of books available in each category. Clicking on the category header itself will bring up the full Amazon search listing of free books for that category.

If you're in Canada, Germany, or the UK, clicking on the "CA" or "DE" or "UK" link in the top right hand corner of the document will change all of the book links from USA to Canada or Germany or the UK. But they may not be free there as they are in the USA. Usually, but not always.

If an author classifies their book as belonging to multiple genres (e.g. fantasy, horror), it will only be listed in the first genre that I process. I process the sub-categories of a major category first, so that the book will be listed in the more specific category.

The rating and # of reviews will be highlighted green to flag ratings above 4.5 stars with more than 50 reviews.

Horizontal bars above the blurbs may be red. You can ignore that. They're just reminders to me that I have already purchased that book.


Free book searches on Amazon

Three ways to search for free (or Prime) books on Amazon:

Currently, there are about 90,000 free Kindle books, a thousand "Prime Reading" books, and over 1.6 million "Prime Eligible" books. With only a few exceptions, "Kindle Unlimited" means "Prime Eligible". "Prime Reading" offers unlimited loans per month, while "Prime Eligible" is just one loan per month.

From the initial search results, you can drill down into categories and use any of the left navigation bar filters.

Those same searches with a keyword:

Click on the "search" part of the "results for" line and you can change the search term to whatever you desire. Then you can continue as before and use the normal drill-down and/or filter choices.


Reddit Groups

There are two Reddit groups that regularly have free Kindle books listed:

Kindle Freebies
Free E-Books


eReaderIQ

The eReaderIQ web site is a price tracking service for Kindle books. It allows you to set up watch lists for books and authors, and then they will send you an email alert when a book reaches a certain price, or an author has a book with a price reduction.


BookBub

The BookBub web site will send you email alerts with handpicked recommendations on books, for your selected genres. Some are free, others just have price reductions.


Galaxy Magazine

Galaxy Science Fiction was an American digest-size science fiction magazine, published from 1950 to 1980, and they are now offered free online:

https://archive.org/details/galaxymagazine?sort=-date

​They can be downloaded as mobi files for the Kindle as well as being read online.​ Used to be one of my favorite SF magazines. I almost always had one with me when I was in high school.


Overdrive

If you're more interested in mainstream books, check to see what options you have from your local library. Many use the Overdrive or Libby sites to loan out Kindle books. If that's not available to you, or your local library has a limited collection, the "Free Library of Philadelphia" has an extensive Overdrive collection, and an out-of-state library card is only $50 per year. Less than half the price of KU.


Gutenberg

Project Gutenberg, founded in 1971, is an Internet archive of free public domain books, created via a volunteer effort that digitizes and archives such books. You can download the Kindle format of a book and then transfer the book to your Kindle directly using a USB cable or by emailing it to your Kindle via its Send-to-Kindle email address using your email client or something like the Amazon Send-To-Kindle tool or an eBook management tool like Calibre.


Notifications

Notifications of new listings will be made in various GoodReads discussion groups (e.g. Amazon Kindle), as well as on the Reddit FreeEBOOKS group. There is also an RSS Feed.

Suggestions