Biswas, Anjanava

Scott, Matthew R.

Talukdar, Wrick

Acero, Dr. Alex

Create intelligent, autonomous AI agents that can reason, plan, and adapt

Building Agentic AI Systems

Onge, Matt St.

Krishnan, Rama

Fortify your embedded Linux systems from design to deployment

The Embedded Linux Security Handbook

Dantas, Victor

Huntingford, Chris

Implement strategy, automation, and AI for scalable digital transformation

The Power Platform Playbook for Digital Transformation

Ramaswami, Yoni

Williamson, Dael

Govaere, Jan

A practical guide to processing, modeling, and forecasting time series with Apache Spark

Time Series Analysis with Spark

Babcock, Joseph

Bali, Raghav

Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

Generative AI with Python and PyTorch

Dunsky, Michael

Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan

Mastering C++ Game Animation Programming

Bachlmayr, Gerald

Zivic, Bojan

Triantafillou, Nick

Ziegelaar, Aiden

Blockley, Alan

Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases

Cloud Native Anti-Patterns

Gabriel-Petit, Pabini

Kalbach, Jim

A practical guide to structuring digital content for findability and easy navigability

Designing Information Architecture

Mitrović, Nikola

Yadav, Santosh

Discover 40+ real-world solutions for building async, event-driven web apps

RxJS Cookbook for Reactive Programming

Guilmette, Aaron

Natwick, Dwayne

Hardiman, James

Haven, Doug

Pass the SC-300 exam with confidence by using exam-focused resources

Microsoft Identity and Access Administrator SC-300 Exam Guide

Combine Spark and Python to unlock the powers of parallel computing and machine learning

Big Data Analysis with Python

<span xml:lang="en">Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning</span>

Marin, Ivan

Shukla, Ankit

VK, Sarang

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.Key FeaturesGet a hands-on, fast-paced introduction to the Python data science stackExplore ways to create useful metrics and statistics from large datasetsCreate detailed analysis reports with real-world dataBook DescriptionProcessing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you.

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and...

Format

Big Data Analysis with Python

Combine Spark and Python to unlock the powers of parallel computing and machine learning

Ivan Marin

Ankit Shukla

Sarang VK

Les gens lisent aussi