Introducing Blockchain with Java: Program, Implement, and Extend Blockchains with Java, Buzharovski Spiro
Автор: Mather Bob Название: Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python ISBN: 0648782948 ISBN-13(EAN): 9780648782940 Издательство: Неизвестно Рейтинг: Цена: 30640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?
Become a skilled C++ programmer by embracing object-oriented programming and exploring language complexities, design patterns, and smart programming techniques with this detailed hands-on guide covering examples compliant with C++20
Key Features:
Apply object-oriented design concepts in C++ using language features and sound programming techniques
Unlock sophisticated programming solutions with nuances to become an efficient programmer
Explore design patterns as proven solutions for writing scalable and maintainable software in C++
Book Description:
While object-oriented software design helps you write more easily maintainable code, companies choose C++ as an OO language for its speed. Object-oriented programming (OOP) in C++ is not automatic - understanding OO concepts and how they map to C++ language features as well as OOP techniques is crucial. You must also know how to distinguish your code by utilizing well-tested, creative solutions, which can be found in popular design patterns. This book will help you to harness OOP in C++ for writing better code.
Starting with the essential C++ features that serve as building blocks for the main chapters, this book explains fundamental object-oriented concepts and shows you how to implement them in C++. With the help of practical code examples and diagrams, you'll find out how and why things work. The book's coverage furthers your C++ repertoire by including templates, exceptions, operator overloading, STL, and OO component testing. You'll also discover popular design patterns with in-depth examples and how to use them as effective programming solutions to recurring OOP problems.
By the end of this book, you'll be able to employ essential and advanced OOP concepts confidently to create enduring and robust software.
What You Will Learn:
Quickly learn the building blocks needed to develop a base for essential OOP features in C++
Implement OO designs using both C++ language features and proven programming techniques
Understand how well-designed, encapsulated code helps make more easily maintainable software
Write robust C++ code that can handle programming exceptions
Design extensible and generic code using templates
Apply operator overloading, utilize STL, and perform OO component testing
Examine popular design patterns to provide creative solutions for typical OO problems
Who this book is for:
Whether you are a professional programmer or an adept college student looking to use C++ as an OOP language, this book will help you create robust and easily maintainable code. Programmers who want to master the implementation of OO designs through both C++ language features and refined implementation techniques will find the book useful. This OOP book assumes prior programming experience; however, if you have no prior C++ or basic C++ experience, the early chapters will help you learn the core building blocks that set the foundation for the many OOP sections, advanced features, and design patterns.
Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?
Python is the answer.
While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500-page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no step-by-step guide.
There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies.
With this in mind, this book starts you off with a step-by-step guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what you've been looking for.
Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big.
Key Features
Learn how to create solid server-side applications by leveraging the full power of Node.js 14
Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem
Avoid common mistakes and use proven patterns to create production grade Node.js applications
Book Description
In this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease.
We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications.
Throughout the book, you'll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions.
What you will learn
Become comfortable with writing asynchronous code by leveraging callbacks, promises, and the async/await syntax
Leverage Node.js streams to create data-driven asynchronous processing pipelines
Implement well-known software design patterns to create production grade applications
Share code between Node.js and the browser and take advantage of full-stack JavaScript
Build and scale microservices and distributed systems powered by Node.js
Use Node.js in conjunction with other powerful technologies such as Redis, RabbitMQ, ZeroMQ, and LevelDB
Who this book is for
This book is for developers and software architects who have some prior basic knowledge of JavaScript and Node.js and now want to get the most out of these technologies in terms of productivity, design quality, and scalability. Software professionals with intermediate experience in Node.js and JavaScript will also find valuable the more advanced patterns and techniques presented in this book.
This book assumes that you have an intermediate understanding of web application development, databases, and software design principles.
Автор: Mather Bob Название: Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python ISBN: 0648783081 ISBN-13(EAN): 9780648783084 Издательство: Неизвестно Рейтинг: Цена: 28190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?
Автор: Chaudhary Bhaskar Название: Tkinter GUI Application Development Blueprints: Master GUI programming in Tkinter as you design, implement, and deliver 10 real-world applications ISBN: 1785889737 ISBN-13(EAN): 9781785889738 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discover modern best practices and develop the skills that you need to get started with GUI programming in Tkinter by building real-world, productive, and fun applications such as a text editor, drum machine, game of chess, media player, drawing application, chat application, screen saver, port scanner, and much more!
Автор: Michelucci Umberto Название: Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python ISBN: 1484280199 ISBN-13(EAN): 9781484280195 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapter 1: Optimization and neural networks Subtopics: How to read the book Introduction to the book Chapter 2: Hands-on with One Single NeuronSubtopics: Overview of optimization A definition of learning Constrained vs. unconstrained optimization Absolute and local minima Optimization algorithms with focus on Gradient Descent Variations of Gradient Descent (mini-batch and stochastic) How to choose the right mini-batch size Chapter 3: Feed Forward Neural NetworksSubtopics: A short introduction to matrix algebra Activation functions (identity, sigmoid, tanh, swish, etc.) Implementation of one neuron in Keras Linear regression with one neuron Logistic regression with one neuron Chapter 4: RegularizationSubtopics: Matrix formalism Softmax activation function Overfitting and bias-variance discussion How to implement a fully conneted network with Keras Multi-class classification with the Zalando dataset in Keras Gradient descent variation in practice with a real dataset Weight initialization How to compare the complexity of neural networks How to estimate memory used by neural networks in Keras Chapter 5: Advanced OptimizersSubtopics: An introduction to regularization l_p norm l_2 regularization Weight decay when using regularization Dropout Early Stopping Chapter 6Chapter Title: Hyper-Parameter tuningSubtopics: Exponentially weighted averages Momentum RMSProp Adam Comparison of optimizers Chapter 7Chapter Title: Convolutional Neural NetworksSubtopics: Introduction to Hyper-parameter tuning Black box optimization Grid Search Random Search Coarse to fine optimization Sampling on logarithmic scale Bayesian optimisation Chapter 8Chapter Title: Brief Introduction to Recurrent Neural NetworksSubtopics: Theory of convolution Pooling and padding Building blocks of a CNN Implementation of a CNN with Keras Introduction to recurrent neural networks Implementation of a RNN with Keras Chapter 9: AutoencodersSubtopics: Feed Forward Autoencoders Loss function in autoencoders Reconstruction error Application of autoencoders: dimensionality reduction Application of autoencoders: Classification with latent features Curse of dimensionality Denoising autoencoders Autoencoders with CNN Chapter 10: Metric AnalysisSubtopics: Human level performance and Bayes error Bias Metric analysis diagram Training set overfitting How to split your dataset Unbalanced dataset: what can happen K-fold cross validation Manual metric analysis: an example Chapter 11 Chapter Title: General Adversarial Networks (GANs)Subtopics: Introduction to GANs The building blocks of GANs An example of implementation of GANs in Keras APPENDIX 1: Introduction to KerasSubtopics: Sequential model Keras Layers Funct
If you have always been fascinated by programming for Artificial Intelligence, but it always seemed to you like something too hard to learn, you are in the right place, looking at the right book.
You surely are well aware of how important Artificial Intelligence is these days.
Just think about your everyday life. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify, or reserve a room on Booking, these platforms are learning something out of your behavior.
Also, it is commonly known that Machine Learning, Neural Networks, and the mastering of their most important language, Python, offer nowadays a lot of chances in work and business.
Either if you want to start up your own enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies, Computer Programming: Python will prepare the ground for your future success.
And that's the reason why we put together three of the most successful Russel R. Russo books as Learn Python Programming, Neural Networks for Beginners and Machine Learning with Python.
With Computer Programming: Python you will:
Discover why Python is the best language for Machine Learning
Find the smartest way to approach Machine Learning and interact with Python and Neural Networks
Get tips and tricks for a smooth and painless journey into artificial intelligence and prevent you from getting lost in coding
Debunk the most common myths about Machine Learning
Code your first application
Understand the elements of Python you will actually need
Easily find your path among Python data, statements, classes and objects
See how algorithms and Machine Learning will help you making predictions
Learn the smartest way to approach Neural Network Programming
Discover why algorithms are your friends
Learn about The "three Vs" of Big Data (plus two new Vs)
Spot the three most common problems with Neural Networks and how to overcome them
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.
Автор: Quick John M. Название: Learn to Implement Games with Code ISBN: 1498753388 ISBN-13(EAN): 9781498753388 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Game development is one of the most rewarding crafts of modern times. Not only is making games a wonderful lifelong hobby, but employment opportunities exist at many levels. Learn to Implement Games with Code guides you through the development process as you put together a release-ready game. It is written in a friendly and conversational tone, which is suitable for a wide audience of aspiring game developers, such as yourself. You will gain practical, hands-on experience with implementing game components using code. Gradually, you will build a complete game that you can be proud of. After finishing this book, you will be prepared to start making games of your very own design.
Автор: Danial Albert Название: Python for MATLAB Development: Extend MATLAB with 300,000+ Modules from the Python Package Index ISBN: 1484272226 ISBN-13(EAN): 9781484272220 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one: * A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions * A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB * A collection of recipes that demonstrate Python solutions invoked directly from MATLAB This book shows how to call Python functions to enhance MATLAB's capabilities. Specifically, you'll see how Python helps MATLAB: * Run faster with numba * Distribute work to a compute cluster with dask * Find symbolic solutions to integrals, derivatives, and series summations with SymPy * Overlay data on maps with Cartopy * Solve mixed-integer linear programming problems with PuLP * Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo * Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini Who This Book Is For MATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.
Implement blockchain from scratch covering all the details with Racket, a general-purpose Lisp. You'll start by exploring what a blockchain is, so you have a solid foundation for the rest of the book. You'll then be ready to learn Racket before starting on your blockchain implementation. Once you have a working blockchain, you'll move onto extending it. The book's appendices provide supporting resources to help you in your blockchain projects.
The recommended approach for the book is to follow along and write the code as it's being explained instead of reading passively. This way you will get the most out of it. All of the source code is available for free download from GitHub.
What You Will Learn
Discover the Racket programming language and how to use it
Implement a blockchain from scratch using Lisp
Implement smart contracts and peer-to-peer support
Learn how to use macros to employ more general abstractions
Who This Book Is For Novices that have at least some experience with programming, as well as some basic working experience with computers. The book also assumes some experience with high school mathematics, such as functions.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
