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Certified Cloud Security Professional (Ccsp) Study Guide: for Everyone

Being Geek: The Software Developer's Career Handbook

Linq Pocket Reference: Learn and Implement for .Net Applications

Certified Kubernetes Administrator (Cka) Study Guide: In Depth Guidance and Practice

97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts

Angular: Up and Running: Learning Angular, Step by

Zero Trust Networks: Building Secure Systems in Untrusted Networks

SQL kurz & gut

Visual Storytelling: Visuelles Erzählen in PR und Marketing

Python Pocket Reference: in Your

Infrastructure as Code: Designing and Delivering Dynamic Systems for the Cloud Age

Hackers: Heroes of the Computer Revolution 25th Anniversary Edition

JavaScript Patterns: Build Better Applications with Coding and Design Patterns

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies...

TYPO3 CMS für Redakteure: Der praktische Einstieg

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change

Microsoft Excel 2016 Das Handbuch: Von den Grundlagen der Tabellenkalkulation bis zu...

Data Science on AWS: Implementing End To End, Continuous AI and Machine Learning Pipelines

Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Programming C# 10: Build Cloud, Web, and Desktop Applications

Web Accessibility Cookbook: Creating Inclusive Experiences

Data Science for Business: What You Need to Know about Mining and Analytic Thinking

Becoming SRE: First Steps Toward Reliability for You and Your Organization

HTTP: The Definitive Guide

Engineering Resilient Systems on AWS: Design, Build, and Test for Resilience

Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python (Animals)

Microsoft Office 2019 Das Handbuch: Für alle Editionen inklusive 365

Prompt Engineering for Generative AI: Future Proof Inputs Reliable AI Outputs