The Applied AI and Natural Language Processing Workshop
by Krishna Sankar, Jeffrey Jackovich, and Ruze Richards
With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time Key Features Learn how to integrate Amazon's Simple Storage Services with AI and NLP projectsGet to grips with serverless computing and its applicationsCreate intelligent applications such as chatbots and image recognition models Book Description Are you fascinated with applications like Alexa and Siri and how they accurately pro...
This tutorial offers readers a thorough introduction to programming in Python 2.4, the portable, interpreted, object-oriented programming language that combines power with clear syntaxBeginning programmers will quickly learn to develop robust, reliable, and reusable Python applications for Web development, scientific applications, and system tasks for users or administratorsDiscusses the basics of installing Python as well as the new features of Python release 2.4, which make it easier for users...
Create 2D maps and 3D scenes, analyze GIS data, and share your results with the GIS community using the latest ArcGIS Pro 2 featuresKey FeaturesGet up to speed with the new ribbon-based user interface, projects, models, and common workflows in ArcGIS Pro 2Learn how to visualize, maintain, and analyze GIS dataAutomate analysis and processes with ModelBuilder and Python scriptsBook DescriptionArmed with powerful tools to visualize, maintain, and analyze data, ArcGIS Pro 2 is Esri's newest desktop...
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller. It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable. As a solution to...
This book is for developers who want to use Python to write programs that lean heavily on functional programming design patterns. You should be comfortable with Python programming, but no knowledge of functional programming paradigms is needed.
If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
Python Programming for Beginners (Python Programming Language)
by Eric Scratch and Michael Scratch
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through busin...