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Books > Computing & IT > Computer programming > Programming languages
Tackle some of the biggest challenges in learning Functional
Programming with this modern, up-to-date approach. Objects First
with Java: A Practical Introduction, Global Edition, 6th Edition by
Barnes and Koelling is an introduction to object-oriented
programming, examining various programming concepts from a software
engineering perspective. Ideal for beginners but also more advanced
students and professional programmers, the book begins with
introductory chapters for students without any programming
experience, with later chapters more suitable for advanced or
professional programmers. This latest edition goes beyond just
adding the new language constructs of Java 8. The book's
exploration of this new language demonstrates a renaissance of new
functional ideas and techniques in modern programming, taking
advantage of the boost in their popularity, in line with the new
computing hardware available and the changing nature of current
issues. Key features include: Extensive use of the Java programming
language and BlueJ - the Java interactive development environment.
Clear visualisation of BlueJ's classes and objects, allows you to
gain a much better understanding of the differences than simply
reading source code. Chapters are ordered by software development
concepts instead of language features, like in traditional
textbooks. Functional programming has become an essential part of
the field. This industry-leading text will take you from the first
steps of learning objects to more sophisticated concepts and will
help you explore and master the mechanics of running a program
successfully.
Build and deploy intelligent applications for natural language
processing with Python by using industry standard tools and
recently popular methods in deep learning Key Features A no-math,
code-driven programmer's guide to text processing and NLP Get state
of the art results with modern tooling across linguistics, text
vectors and machine learning Fundamentals of NLP methods from
spaCy, gensim, scikit-learn and PyTorch Book DescriptionNLP in
Python is among the most sought after skills among data scientists.
With code and relevant case studies, this book will show how you
can use industry-grade tools to implement NLP programs capable of
learning from relevant data. We will explore many modern methods
ranging from spaCy to word vectors that have reinvented NLP. The
book takes you from the basics of NLP to building text processing
applications. We start with an introduction to the basic vocabulary
along with a workflow for building NLP applications. We use
industry-grade NLP tools for cleaning and pre-processing text,
automatic question and answer generation using linguistics, text
embedding, text classifier, and building a chatbot. With each
project, you will learn a new concept of NLP. You will learn about
entity recognition, part of speech tagging and dependency parsing
for Q and A. We use text embedding for both clustering documents
and making chatbots, and then build classifiers using scikit-learn.
We conclude by deploying these models as REST APIs with Flask. By
the end, you will be confident building NLP applications, and know
exactly what to look for when approaching new challenges. What you
will learn Understand classical linguistics in using English
grammar for automatically generating questions and answers from a
free text corpus Work with text embedding models for dense number
representations of words, subwords and characters in the English
language for exploring document clustering Deep Learning in NLP
using PyTorch with a code-driven introduction to PyTorch Using an
NLP project management Framework for estimating timelines and
organizing your project into stages Hack and build a simple chatbot
application in 30 minutes Deploy an NLP or machine learning
application using Flask as RESTFUL APIs Who this book is
forProgrammers who wish to build systems that can interpret
language. Exposure to Python programming is required. Familiarity
with NLP or machine learning vocabulary will be helpful, but not
mandatory.
This practical book provides an end-to-end guide to TensorFlow, the
leading open source software library that helps you build and train
neural networks for deep learning, Natural Language Processing
(NLP), speech recognition, and general predictive analytics. The
book provides a hands-on approach to TensorFlow fundamentals for a
broad technical audience-from data scientists and engineers to
students and researchers. The authors begin by working through some
basic examples in TensorFlow before diving deeper into topics such
as CNN, RNN, LSTM, and GNN. The book is written for those who want
to build powerful, robust, and accurate predictive models with the
power of TensorFlow, combined with other open source Python
libraries. The authors demonstrate TensorFlow projects on Single
Board Computers (SBCs).
Software Quality Control, Error, Analysis
Since its invention in 1993, Inform has been used to design
hundreds of interactive novels and short stories in eight
languages. This text includes a critical history of interactive
writings and the university games of the 1970s. (Computer
Books--Languages/Programming)
Encompassing a broad range of forms and sources of data, this
textbook introduces data systems through a progressive
presentation. Introduction to Data Systems covers data acquisition
starting with local files, then progresses to data acquired from
relational databases, from REST APIs and through web scraping. It
teaches data forms/formats from tidy data to relationally defined
sets of tables to hierarchical structure like XML and JSON using
data models to convey the structure, operations, and constraints of
each data form. The starting point of the book is a foundation in
Python programming found in introductory computer science classes
or short courses on the language, and so does not require
prerequisites of data structures, algorithms, or other courses.
This makes the material accessible to students early in their
educational career and equips them with understanding and skills
that can be applied in computer science, data science/data
analytics, and information technology programs as well as for
internships and research experiences. This book is accessible to a
wide variety of students. By drawing together content normally
spread across upper level computer science courses, it offers a
single source providing the essentials for data science
practitioners. In our increasingly data-centric world, students
from all domains will benefit from the "data-aptitude" built by the
material in this book.
In April of 2000, seventh-grader Kevin Triplett learns he has
osteosarcoma, a rare form of bone cancer. Kevin fights a courageous
battle, and his father, Wayne, does everything within his power to
help his son win the greatest fight of his young life.
Kevin battles his disease valiantly, submitting himself to many
cutting-edge, newly discovered therapies. He keeps his spirits high
during his treatments, learns to play the guitar, and even forms a
Christian rock band. Most importantly, his faith in Jesus Christ
carries him through his journey, which ends in 2006.
Kevin touches many lives, and the positive influence he has on
people, young and old, endears him to everyone. "This Little Light
Of Mine" is the story of his courageous battle against cancer and
is peppered with many personal recollections. Grounded in an
uncompromising faith in Jesus Christ, Kevin knows that whatever
happens during this battle, he will be fine.
An inspiring, true story of a son's perseverance and a father's
dogged determination to keep him alive, this must read book offers
encouragement to all cancer patients and their families.
"How has this all come about? Why am I in Texas in the middle of
the night? Why did I take a strangers briefcase if it's locked and
I have no idea what's inside? Is it fate? Is it destiny? No. Fate's
a scapegoat for sissies and yellow bellies. And destiny's just a
cross-eyed drag queen with a smoke-stained wig and bad teeth.
The importance of semantics has been recognized in different areas
of data and information management, including better access,
exchange, interoperability, integration, and analysis of data.
Semantics of data is about associating meaning to data,
understanding what data represents, and improving the value of
data. ""Ubiquitous and Pervasive Knowledge and Learning Management:
Semantics, Social Networking and New Media to Their Full
Potential"" presents an alternative view to ubiquitous and
pervasive knowledge, architectural frameworks, and methodological
issues, and introduces some of the major techniques and tools
developed in the domain of ontology building, analysis, and
semantic Web. ""Ubiquitous and Pervasive Knowledge and Learning
Management: Semantics, Social Networking and New Media to Their
Full Potential"" contributes to the revolutionary domain of
semantic Web and information systems in the following aspects:
vision, methodologies, tools, and applications.
Learning Maya, the world's leading 3D animation and effects
package, is a challenge, especially for those who want to master
Maya's versatile programming features in addition to its built-in
tools.
Finally, here is a practical, step-by-step guide that shows how to
use Maya to its fullest potential, beginning with the basics.
Readers of Complete Maya Programming will first gain a thorough
understanding of Maya's inner workings, and then learn how to
customize and extend Maya with scripts and plugins that take
control and productivity to new levels.
Users new to programming can apply Maya's easy scripting language
MEL (Maya Embedded Language), while more advanced users can work
with the C++ API (Application Progamming Interface). Both a
fundamental tutorial for Maya beginners and a solid reference for
experienced developers, Complete Maya Programming is every user's
guide to Maya mastery.
* Provides a multitude of real-world examples illustrating
applications of Maya programming.
* Demonstrates how to use MEL to control Maya, customize its
interface, automate procedures, and more
* Details how to use the C++ API to modify Maya functionality and
develop tools and features to meet any need
* Explains when to use MEL, when to use the C++ API, and how to use
them together
* Ideal for technical directors, developers, or anyone wishing to
to master Maya
* Provides a storehouse of MEL scripts and C++ source code,
glossary, and list of resources, available at www.davidgould.com
For courses in introductory Computer Science courses using Java,
and other introductory programming courses in Computer Science,
Computer Engineering, CIS, MIS, IT, and Business. Ideal for a wide
range of introductory computer science courses, Java: An
Introduction to Problem Solving and Programming, 8th Edition
introduces students to object-oriented programming and important
concepts such as design, testing and debugging, programming style,
interfaces and inheritance, and exception handling. A concise,
accessible introduction to Java, the text covers key Java language
features in a manner that resonates with introductory programmers.
Objects are covered early and thoroughly in the text. The author's
tried-and-true pedagogy incorporates numerous case studies,
programming examples, and programming tips, while flexibility
charts and optional graphics sections allow instructors to order
chapters and sections based on their course needs. This 8th Edition
incorporates new examples, updated material, and revisions.
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