You will learn to apply a version system, some software design, how to choose a license, and how to package your first installation exe. This course uses humor, visual, and experiential learning to make learning more fun. 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. 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 for Programmers 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. Summary This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout.
It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail. About the Technology Initially Guido van Rossum's holiday project, Python has grown into an amazing computer language. It's a joy to learn and read, and powerful enough to handle everything from low-level system resources to advanced applications like deep learning.
Elegantly simple and complete, it also boasts a massive ecosystem of libraries and frameworks. With the personal touch of a skilled teacher, she beautifully balances details of the language with the insights and advice you need to handle any task. Extensive, relevant examples and learn-by-doing exercises help you master each important concept the first time through. Whether you're scraping websites or playing around with nested tuples, you'll appreciate this book's clarity, focus, and attention to detail.
What's Inside Clear coverage of Python 3 Core libraries, packages, and tools In-depth exercises Five new data science-related chapters About the Reader Written for readers familiar with programming concepts--no Python experience assumed.
She has been learning, using, and teaching Python since About Python 2. Getting started 3. The absolute basics 5. Lists, tuples, and sets 6. Strings 7. Dictionaries 8. Control flow 9. Functions Modules and scoping rules These proceedings offer practitioners and researchers the opportunity to present exciting advances in computational techniques and solutions in this area.
They also identify emerging issues, help to shape future research directions, and will enable industrial users to apply cutting-edge, large-scale and high-performance computational methods. The 12 full papers presented were carefully reviewed and selected from 29 submissions. Along with the specifics of Python, the text covers important concepts of computing, including software engineering motivation, algorithms behind syntax rules, advanced functional programming ideas, and, briefly, finite state machines.
Taking a student-friendly, interactive approach to teach computing, the book addresses more difficult concepts and abstractions later in the text. The author presents ample explanations of data types, operators, and expressions. He also describes comprehensions—the powerful specifications of lists and dictionaries—before introducing loops and variables.
This approach helps students better understand assignment syntax and iteration by giving them a mental model of sophisticated data first. Python is one of the best languages to choose for the beginning programmer. This course takes you from knowing nothing to creating your first arcade style game including graphics, sound, and music.
You will learn to apply a version system, some software design, how to choose a license, and how to package your first installation exe. As with all the books in the Starting Out With series, the hallmark of this text is its clear, friendly, and easy-to-understand writing. In addition, it is rich in example programs that are concise and practical. The programs in this book include short examples that highlight specific programming topics, as well as more involved examples that focus on problem solving.
Each chapter provides one or more case studies that provide step-by-step analysis of a specific problem and shows the student how to solve it.
Control Structures First, Then Classes Python is a fully object-oriented programming language, but students do not have to understand object-oriented concepts to start programming in Python. Then the student learns to write classes, explores the topics of inheritance and polymorphism, and learns to write recursive functions. Finally, the student learns to develop simple event-driven GUI applications.
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