Foundation DB2 and Python: Access DB2 with Module-Based API Examples Using Python, Ashley W. David
Автор: Wingate Robert Название: COBOL Basic Training Using VSAM, IMS, DB2 and CICS ISBN: 1734584742 ISBN-13(EAN): 9781734584745 Издательство: Неизвестно Рейтинг: Цена: 9649.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
This book will teach you the basic information and skills you need to develop applications with CICS on IBM mainframe computers running z/OS. The instruction, examples and sample programs in this book are a fast track to becoming productive as quickly as possible using CICS with the COBOL programming language. The content is easy to read and digest, well organized and focused on honing real job skills. Acquiring these skills is a key step in mastering CICS application development and maintenance so you'll be ready to join a CICS programming team.
Автор: Chris Conlan Название: The Blender Python API ISBN: 1484228014 ISBN-13(EAN): 9781484228012 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Blender is a popular open source 3D modeling software. Using the Python API is difficult due to its complex object hierarchy and vast documentation. This book clearly explains the interface, familiarizing data structures and low-level concepts in both modeling and rendering with special attention given to optimizing procedurally generated models.
Автор: Van Rossum Guido, Python Development Team Название: The Python/C API: Release 3.6.4 ISBN: 1680921630 ISBN-13(EAN): 9781680921632 Издательство: Неизвестно Рейтинг: Цена: 2796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Chan Jack, Chung Ray, Huang Jack Название: Python API Development Fundamentals ISBN: 1838983996 ISBN-13(EAN): 9781838983994 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book teaches you all that`s needed to build a fully functional web application from scratch. You`ll learn all the necessary tools and modules that are required in the process. Beginning with the basics of RESTful API, you`ll complete the book by building and deploying an industry-grade web application.
Автор: Bock Название: .NET Development Using the Compiler API ISBN: 1484221109 ISBN-13(EAN): 9781484221105 Издательство: Springer Рейтинг: Цена: 2794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This is the first book to describe the recent significant changes to the .NET compilation process and demonstrate how .NET developers can use the new Compiler API to create compelling applications. As an open source compiler, the Compiler API now makes its code available for anyone to use. In this book, you’ll get a concise, focused view of this tremendous resource for developers, who can now use any part of the platform implementation to their advantage in analyzing applications, improving code generation, and providing enforceable patterns, all under an OSS model.
You will learn how to analyze your code for defects in a fast, clean manner never available before. You’ll work with solutions and projects to provide automatic refactoring, and you’ll discover how you can generate code dynamically to provide application implementations at runtime
Having the Compiler API available opens a number of doors for .NET developers that were either simply not there before, or difficult to achieve. However, the API is vast, and this concise book provides a valuable roadmap to this new development environment.
What You Will Learn:
Understand how to generate, compile, and execute code for a number of scenariosHow to create diagnostics and refactoring to help developers enforce conventions and design idiomsExperiment with the compiler code base and see what can be done to influence the inner workings of the compilation pipeline
Who This Book Is For:
Experienced .NET developers, but detailed compiler knowledge is not necessary.
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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.
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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.
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