Arduino Programming: The Ultimate Guide for Absolute Beginners with Steps to Learn Arduino Programming and The Fundamental Electronic Conce, Gйron Daniel
Are you looking for an easy to learn a language that will utilize some of the great applications that we are able to work with, but you are not sure where to start? Would you like to learn how to work with the amazing options that Windows and Microsoft can offer, but you are worried that it is going to be too hard for you to learn? Would you believe that with the help of this guidebook, we are going to be able to handle a lot of the different things that we need inside of coding, and can help us to master the C# language?
This guidebook is going to take some time to help us learn more about the C# language and how to make this work for some of the great applications that you want to write. We are going to look at all of the important features, like classes, objects, conditional statements, loops and more, so you are finally able to write some of your own codes. And it is much easier than you can believe
Inside of this guidebook, we are going to spend some time taking a look at all of the amazing things that you are able to do with the C# language, and how easy working with this language can be. Some of the amazing topics that we are going to talk about and the codes that we will be able to learn in this guidebook about C# includes:
A look at what the C# language is all about.
How to Set up Visual Studio and the C# language.
What the variables are in this language and how we are able to work with them.
A look at how to work with the C# operators, the conditional statements, the objects, and the classes.
How the loops are going to fit into this kind of language to make code writing a bit easier.
A comparison of the arrays, lists, and strings that are present in the C# language.
Some of the best tips and tricks that you need to know in order to help you gain more experience in the C# language.
Working with a new coding language can be so helpful for many people. Whether you are preparing for a job interview, learning something new, or exploring how you can create your own website or another kind of application, the C# language is going to be one of the best options to go with. When you are ready to learn more about the C# language and how it can work for your needs make sure to check out this guidebook to help you get started.
Do you want to learn how to write your own codes and programming and get your computer set up to learn just like humans do? Do you want to learn how to write out codes in deep learning-without having to spend years going to school to learn to code and how all this works? Do you know a bit of Python coding and want to learn more about how this deep learning works?
This bundle is the tool that you need to not only learn how to do machine learning but also learn how to take this even further and write some of your own codes in deep learning. The field of deep learning is pretty new, and many programmers have not been able to delve into the depths of what we can see with this type of programming-but with the growing market for products and technology that can act and learn just like the human brain, this field is definitely taking off
This bundle will take some time to explore the different Python libraries that will help you to do some deep learning algorithms in no time. Investing your time in the Python language and learning the different libraries that are needed to turn this basic programming language into a deep learning machine can be one of the best decisions for you.
By learning some of the tips in this bundle, you will be able to save time and resources when it comes to your deep learning needs. Rather than spending time with other, more difficult programming languages, or having to go take complicated classes to learn how to do these algorithms, we will explore exactly how to do all of the tasks that you need with this type of machine learning.
You will learn:
1. What deep learning is, how it is different from machine learning, and why Python is such a beneficial language to use with the deep learning algorithms;
2. The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorch;
3. How to install the three Python libraries to help you get started;
4. A closer look at neural networks, what they are, why they are important, and some of the mathematics of making them work;
5. The basics you need to know about TensorFlow and some of the deep learning you can do with this library;
6. The basics of the Keras library and some of the deep learning you can do with this library;
7. A look at the PyTorch library, how it is different from the other two, and the basics of deep learning with this library;
How to develop modules and functions in Python
How to install and use magic command in Ipython
Functionalities of NumPy library for numerical programming
Functionalities of Pandas library for data analysis
Creating and customizing figures to visualize data with Matplotlib library
Even if you are just a beginner, with very little programming knowledge but lots of big dreams and even bigger ideas, this book is going to give you the tools that you need to start with deep learning
Do you want to learn how to write your own codes and programming and get your computer set up to learn just like humans do? Do you want to learn how to write out codes in deep learning-without having to spend years going to school to learn to code and how all this works? Do you know a bit of Python coding and want to learn more about how this deep learning works?
This guidebook is the tool that you need to not only learn how to do machine learning but also learn how to take this even further and write some of your own codes in deep learning. The field of deep learning is pretty new, and many programmers have not been able to delve into the depths of what we can see with this type of programming-but with the growing market for products and technology that can act and learn just like the human brain, this field is definitely taking off
This book will take some time to explore the different Python libraries that will help you to do some deep learning algorithms in no time. Investing your time in the Python language and learning the different libraries that are needed to turn this basic programming language into a deep learning machine can be one of the best decisions for you.
By learning some of the tips in this book, you will be able to save time and resources when it comes to your deep learning needs. Rather than spending time with other, more difficult programming languages, or having to go take complicated classes to learn how to do these algorithms, we will explore exactly how to do all of the tasks that you need with this type of machine learning.
You will learn:
1. What deep learning is, how it is different from machine learning, and why Python is such a beneficial language to use with the deep learning algorithms;
2. The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorch;
3. How to install the three Python libraries to help you get started;
4. A closer look at neural networks, what they are, why they are important, and some of the mathematics of making them work;
5. The basics you need to know about TensorFlow and some of the deep learning you can do with this library;
6. The basics of the Keras library and some of the deep learning you can do with this library;
7. A look at the PyTorch library, how it is different from the other two, and the basics of deep learning with this library;
8. And so much more
Even if you are just a beginner, with very little programming knowledge but lots of big dreams and even bigger ideas, this book is going to give you the tools that you need to start with deep learning
Do you want to learn about how to hack using Kali Linux within a short time span? Do you want to learn about how to perform an actual attack and become a professional hacker?
This handbook will suit your needs, and you will not only learn about Hacking Tools for Computers, but you will also be accorded some guidance on how you can successfully launch your first attack using Kali Linux.
By gaining some insight into Hacking Tools for Computers through this handbook, you will also realize that you have saved on time and other resources, depending on your learning needs.
Each tool that has been installed into the Kali Linux operating system has a specific use. You will select the tools that you need depending on the specific tasks you need to handle.
For example, you may need to carry out a penetration test. You will need to use some specific tools for such a task. A discussion was also initiated in one of the chapters on how to plan an attack.
When you initiate an attack, make sure that you have concealed your identity. In this handbook, we have also looked into the different ways that you can hide your identity.
After reading the handbook, you will have acquired knowledge in different areas, including:
1. What is hacking?
2. How do you install Kali Linux?
3. The tools offered by Kali Linux.
4. The hackers' toolkit.
5. And so much more
You may just be a beginner who also possesses a limited amount of knowledge about hacking; the only limitation to becoming a professional hacker is yourself.
Interested in starting Data analysis and not sure which Programming language to use to develop Data Analysis Programs? Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and note sure where to start?
Do you have data and want to analyze and provide professional figures for your presentation and communication and don't know which programming language to use or interested in using Python?
This book is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.
This book provides not only the basic syntax of Python but also an advanced command to evaluate the performance of your code in interactive programming environment (i.e. Jupyter) and a guide to use the fundamentals Python libraries for data analysis which are Pandas, NumPy and Matplotlib libraries. All these libraries are presented with examples with real data so you can practice at the same time when learning the functionalities of this library.
By reading this book, you will learn:
- The characteristics and utilities of using Python over other programming languages
- How to get started and install Python
- The basic syntax of Python programming and different basic data structures in Python
- How to develop modules and functions in Python
- How to install and use magic command in Ipython
- Functionalities of NumPy library for numerical programming
- Functionalities of Pandas library for data analysis
- Creating and customizing figures to visualize data with Matplotlib library
Even if don't have any background or skills in programming, this book will provide you and help you develop the required skills and basic technics to start data analysis with Python programming. It also provides you with code and data so you can practice. By reading this book will easily learn how to use python and Python libraries for easy data analysis and management. By developing the skills provided in this book, you will easily develop more advanced skills and acquire advanced technics that will allow to go from a beginner to an expert in Python.
Do you want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model, and you have no programming skills? Do you want to get started with learning data science?
This book is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This book is going to help you understand the various methods of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model.
Machine learning implies programming. This book will teach you Python programming. This book does not require any pre-programming skills. It will help to get you started in Python programming, as well as how to use Python libraries to analyze data and apply machine learning.
Overall, this book is a go-to guide for getting started in machine learning modeling using Python programming. Once you get through the book, you will be able to develop your machine learning models using Python.
Through this book, you will learn:
- Principles of machine learning
- Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
- Advantages of each type of machine learning
- Principle and types of neural networks
- Steps to develop and fit artificial neural network model
- Getting started and installing Python
- Tools and platforms for Python programming
- How to use pandas, NumPy and matplotlib Python libraries
- How to develop a simple linear and logistic machine learning model
- How to build and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries
Even if you don't have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.
What is machine learning? How machine learning works? Should I use a machine learning model or another approach to solve my problem? How do I implement machine learning to my problem? What are the machine learning methods I can use for my problem? How do I know my machine learning model is efficient? Are you wondering all these questions and hesitate on how to start with machine learning?
The object of this book is to answer all of these questions. This book will give an initiation to machine learning methods. In fact, this book will give the very fundamental concepts of machine learning methods with no pre-requisite skills. Machine learning include is a large domain of research and have different branches.
This book will teach the concepts of machine learning in general and also how to use artificial neural networks. By acquiring the skills presented in this book, we will be able to decide if machine learning is suited to solve your problem. You will also be able to make a judgement on the best way to implement a machine learning model to solve the problem you have in hand.
By reading this book you will learn:
- The general concept of machine learning
- When to use and when to avoid machine learning
- The 4 main types of machine learning
- When to use each type of machine learning
- The general concept of artificial neural networks
- Activation function in artificial neural network and to choose an activation function within an artificial neural network
- The 5 main types of artificial neural network
- The best function to be used to train artificial neural networks.
- the 2 main concepts to know in the training process of the artificial neural network
- the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general.
Even you don't have any mathematical background or a statistical skill, this book will help you develop a sound understanding of machine learning methods and artificial neural networks.
Do want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model and you have no programming skill? Do you want to get started with learning data science?
This bundle is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This bundle is going to help you understand the different approaches of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model.
Machine learning implies programming. This bundle will teach you Python programming. This bundle does not require any pre-programming skills. It will help to get you started in Python programming, as well as how to use Python libraries to analyze data and apply machine learning.
Overall, this bundle is a go-to guide for getting started in machine learning modeling using Python programming. Once you get through the bundle, you will be able to develop your own machine learning models using Python.
Through this bundle, you will learn:
- Principles of machine learning
- Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
- Advantages of each type of machine learning
- Principle and types of neural networks
- Steps to develop and fit artificial neural network model
- Getting started and installing Python
- Tools and platforms for Python programming
- How to use pandas, NumPy and matplotlib Python libraries
- How to develop a simple linear and logistic machine learning model
- How to develop and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries
- When to use each type of machine learning
- The general concept of artificial neural networks
- Activation function in artificial neural network and to choose an activation function within an artificial neural network
- The 5 main types of artificial neural network
- The best function to be used to train artificial neural networks.
- the 2 main concepts to know in the training process of the artificial neural network
- the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general.
Even if you don't have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.
- If you want to learn how to code a game, an app, and a website?
- Have you always wanted to learn the ways of computer programming, but don't know how to take your first steps into this quite intimidating world?
If you answered "yes" to any of these, then this is the perfect, educational and informational book for you
Hello Welcome to this guide to "Computer Programming for Beginners."
This guide will fast track you to critical resources and provide valuable guidance so you can get started in your learning journey right away and provides some useful tips to help you avoid some common mistakes, or wasting time on unnecessary things. Computer programming is one of the top sought-after skills in today's ever-evolving society. Jump on the bandwagon before it's too late... We cover all the concepts, terms, programming paradigms, and coding techniques that every beginner should know. Learning to write computer programs can be fun if you take the right approach, and this shall be the objective of this book.
This book aims to capture the fundamentals of computer programming without tying the topic to any specific programming language. To the best of the authors' knowledge, there is no such book in the market.
In this book, you will find:
SQL For Beginners
Introduction to SQL- The Advantages of Using SQL
Types of SQL Commands
Data Types in SQL
How to Manage Object in Your Database
Creating a New Table in SQL
How to delete, drop and alter tables
The Concept of Relational Databases
How to Categorize Our Information with the Database Operators
And Much Much More
C++ For Beginners
Introduction & History of C++
Basics of C++- Data Types, Commands & Functions
The C++ Libraries to Know
Your First Program in C++
Working with the Conditional Statements, or the If Statements
Loops & Functions
And Much Much More
C# For Beginners
Introduction & History of C#
Basics of C#- Data Types, Commands & Functions
Helping Your Programs Make Decisions
Creating Your C# Objects
How to Define Your Classes in C#
And Much Much More
Arduino Programming For Beginners
Introduction & History of Arduino
How to Set Up Arduino
The Starting Point for Coding in Arduino
What Do I Need to Know About the C Language
The Fun Stuff - Taking a Look at the Sensors, Outputs, and Inputs
And Much Much More
It's time to take your first steps and uncover what it is you've been missing out on.
Do want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model and you have no programming skill? Do you know a bit of Python coding and want to learn more about how this deep learning works?
This bundle is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This bundle is going to help you understand the different approaches of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model.
This bundle is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.
Through this bundle, you will learn:
- Principles of machine learning
- Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
- Advantages of each type of machine learning
- Principle and types of neural networks
- Steps to develop and fit artificial neural network model
- Getting started and installing Python
- Tools and platforms for Python programming
- How to use pandas, NumPy and matplotlib Python libraries
- How to develop a simple linear and logistic machine learning model
- How to develop and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries
- When to use each type of machine learning
- The general concept of artificial neural networks
- Activation function in artificial neural network and to choose an activation function within an artificial neural network
- The 5 main types of artificial neural network
- The best function to be used to train artificial neural networks.
- the 2 main concepts to know in the training process of the artificial neural network
- the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general.
- The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorch;
- How to install the three Python libraries to help you get started;
How to install and use magic command in Ipython
Functionalities of NumPy library for numerical programming
Functionalities of Pandas library for data analysis
Even if you don't have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.
Interested in starting Data analysis and not sure which Programming language to use to develop Data Analysis Programs? Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and note sure where to start?
Do you have data and want to analyze and provide professional figures for your presentation and communication and don't know which programming language to use or interested in using Python?
This book is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.
This book provides not only the basic syntax of Python but also an advanced command to evaluate the performance of your code in interactive programming environment (i.e. Jupyter) and a guide to use the fundamentals Python libraries for data analysis which are Pandas, NumPy and Matplotlib libraries. All these libraries are presented with examples with real data so you can practice at the same time when learning the functionalities of this library.
By reading this book, you will learn:
- The characteristics and utilities of using Python over other programming languages
- How to get started and install Python
- The basic syntax of Python programming and different basic data structures in Python
- How to develop modules and functions in Python
- How to install and use magic command in Ipython
- Functionalities of NumPy library for numerical programming
- Functionalities of Pandas library for data analysis
- Creating and customizing figures to visualize data with Matplotlib library
Even if don't have any background or skills in programming, this book will provide you and help you develop the required skills and basic technics to start data analysis with Python programming. It also provides you with code and data so you can practice. By reading this book will easily learn how to use python and Python libraries for easy data analysis and management. By developing the skills provided in this book, you will easily develop more advanced skills and acquire advanced technics that will allow to go from a beginner to an expert in Python.
Do you want to learn the advanced concepts of Kali Linux?
If so, then keep reading
Hello Welcome to "Hacking with Kali Linux."
In this book, you will discover that there is a lot more to hacking than you first thought. This book is perfect for beginners, a comprehensive guide that will show you the easy way to learn Kali Linux. The goal of this book is to help you learn the fundamentals of hacking and to give you an introduction to becoming a hacker. This book targets students who have little or no experience in hacking or Kali Linux.
Learn Hacking and Kali Linux, one of the fastest-growing and highest-paying careers, with over 1 million cybersecurity job openings available this year
Learning Hacking & Kali Linux will also help you to increase your earnings. An investment in your career is an investment in yourself. Don't procrastinate. There is no time like the present to take charge of your career. Take your career to the next level by learning hacking essentials today
This guide is great for beginners, or for capable computer users who want to learn both how and why to secure their data.
Here's what makes this book special:
Introduction to Hacking and Kali Linux
Hacking with Kali Linux
What is Hacking?
Kali Linux for Beginners
Kali Linux Installation
Real examples of how to hack with Kali Linux
Advanced Kali Linux Concept
How to Initiate a Hack Using Kali Linux
How to Successfully Launch an Attack
And so much more
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
