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Flynt Clif: Tcl/Tk

Tcl/Tk

A Developer's Guide

AK Peters Visualization Series

The book explores real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed.

Descriptive Analysis, Visualization, and Dashboard Design (with codes in Python)

Exploratory Data Analysis

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Tableau at Work is the perfect book for anyone who wants a comprehensive guide and reference to Tableau, from beginners and novices all the way to advanced and professional users.

Tableau at Work

Advances in Computers

Role of Internet of Things and Machine Learning in Smart Healthcare: Volume 137

Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. <ul> <li>Get a better grasp of NumPy, Cython, and profilers </li><li>Learn how Python abstracts the underlying computer architecture </li><li>Use profiling to find bottlenecks in CPU time and memory usage </li><li>Write efficient programs by choosing appropriate data structures </li><li>Speed up matrix and vector computations </li><li>Process DataFrames quickly with pandas, Dask, and Polars </li><li>Speed up your neural networks and GPU computations </li><li>Use tools to compile Python down to machine code </li><li>Manage multiple I/O and computational operations concurrently </li><li>Convert multiprocessing code to run on local or remote clusters </li><li>Deploy code faster using tools like Docker </li></ul>

Practical Performant Programming for Humans

High Performance Python

This unique and classroom-proven text provides a hands-on introduction to the design of computer systems. It depicts, step by step, the design and programming of a simple but complete hypothetical computer, followed by detailed architectural features of existing computer systems as enhancements to the structure of the simple computer.

This unique and classroom-proven text provides a hands-on introduction to the design of computer systems. It depicts, step by step, the design and programming of a simple but complete hypothetical computer, followed by detailed architectural features of existing computer systems as enhancements to the structure of the simple computer. This treatment integrates the four categories of digital systems architecture: logic design, computer organization, computer hardware, and computer system architecture.This edition incorporates updates to reflect contemporary organizations and devices, to include Graphics processing Units (GPU), Quantum computing and the latest supercomputer systems. It also includes the description of the two popular Instruction Set Architectures (ARM and RISC-V).The book is suitable for a one- or two-semester undergraduate or beginning graduate course in computer science and computer engineering, Computer Organization, Design, and Architecture and previous editions have been adopted by 120+ universities around the world.The book covers the topics suggested by the recent IEEE/ACM curriculum for ‘computer architecture and organization.Praise for the Previous Editions“I am convinced that the book will serve well as a handbook for courses on the fundamentals of computer architecture and organization” - Antoni Michalski, Zentralblatt Math.“.. this book has two main strengths: 1) treating fundamental concepts and going into details in dedicated chapters, so it can satisfy both newbies and advanced computer scientists. 2) The large number of topics related to computer architecture tackled .. Very good book tackling a very important number of topics related to computer architecture and organization” - Jalil Boukhobza, University of Western Brittany, France.

Computer Organization, Design and Architecture

A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you'll need to hone your skills with this popular programming language. You'll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You'll also find: <ul> <li>Key concepts in computer and data science explained from the ground up</li> <li>Advanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases.</li> <li>Introductions to some of Python's most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and Pandas</li> <li>Amusing anecdotes from the trenches of industry</li> </ul> Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language.

A Comprehensive Guide for Beginners

Unlocking Python

Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today

Programming Language Pragmatics

Artificial Intelligence in Smart Healthcare Systems

The increasing prominence of Generative AI presents healthcare integration opportunities. From generating valuable patient insights to automating operations, streamlining patient care, and implementing preventive technologies, Generative AI has the potential to usher in a new era of productivity and profitability for healthcare stakeholders.

Unleashing Innovation Through Generative AI

Revolutionizing Healthcare Services

Covering the three underlying technologies of Web pages: HTML, CSS, and JavaScript, this book is a one-stop guide to getting started in web development, be it in a class or as a solo-learner.

Covering the three underlying technologies of Web pages: HTML, CSS, and JavaScript, this book is a one-stop guide to getting started in web development, be it in a class or as a solo-learner.

Developing Web Sites with HTML, CSS and JavaScript

Master the inner workings of your x64 Linux system and expand your OS expertise by writing your very own debugger using C++. If debuggers seem like magic to you, there is no better way to demystify them than to write your own. This book will show you exactly how to do it, walking you through the entire process of building a debugger for x64 Linux systems using C++. As go from an empty filesystem folder to a fully fledged debugger capable of setting breakpoints, stepping through code, manipulating variables, and more, you’ll learn how to: <ul><li>Attach to a process</li><li>Read and write to registers</li><li>Set hardware and software breakpoints</li><li>Output disassembly</li><li>Support multithreading and other tasks</li></ul> As you add features to your debugger, you’ll also pick up a wealth of knowledge about operating systems, compilers, software testing, and low-level programming that you can use in your day-to-day development.

Building a Debugger

Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security: Volume 138

Tcl/Tk

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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