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Free Download Cloud Computing with Python: Develop, Deploy, Dominate by Dargslan Publishing
English | January 9, 2025 | ISBN: N/A | ASIN: B0DSQ7M8GL | 389 pages | EPUB | 0.52 Mb
"Cloud Computing with Python: Develop, Deploy, Dominate" is your comprehensive guide to mastering cloud technologies using one of the world's most popular programming languages. In an era where cloud computing is reshaping the technology landscape, this book equips you with the knowledge and practical skills to harness the power of the cloud and propel your career to new heights.
Whether you're a seasoned developer, a curious student, or an IT professional looking to expand your skillset, this book offers a clear path to cloud proficiency. Through a carefully crafted curriculum, you'll journey from the basics of cloud computing to advanced deployment techniques, all while leveraging the simplicity and power of Python.
Key Features:Comprehensive Coverage: Explore major cloud platforms including AWS, Google Cloud, and Microsoft Azure.Hands-On Learning: Engage with practical exercises, real-world examples, and end-of-chapter projects to reinforce your understanding.Cloud-Native Development: Learn to build scalable, resilient applications designed for the cloud from the ground up.Deployment Mastery: Dive into serverless architectures, containerization, and orchestration with Kubernetes.Advanced Topics: Tackle automation, monitoring, and optimization of cloud environments.Cutting-Edge InsightsThe book is structured in six parts, each focusing on critical aspects of cloud computing with Python:
Part 1: FoundationsUnderstand core cloud computing conceptsExplore why Python excels in cloud environmentsSet up your development environment for cloud projectsPart 2: DevelopmentBuild cloud-native applicationsWork with RESTful APIs and microservicesManage data in the cloud: databases, storage, and cachingPart 3: DeploymentMaster serverless computing with AWS Lambda and Azure FunctionsContainerize applications with DockerOrchestrate deployments using KubernetesPart 4: Advanced TopicsAutomate cloud infrastructure with PythonImplement scalable architecturesMonitor and optimize cloud applicationsEnsure security and compliance in the cloudPart 5: ProjectsBuild a scalable web applicationDevelop a data processing pipelineCreate a machine learning model deployment systemPart 6: Future TrendsExplore edge computing and IoT integrationUnderstand the impact of AI and machine learning on cloud computingGet a glimpse into quantum computing in the cloudWho This Book Is For:Software developers looking to transition to cloud-based developmentData scientists seeking scalable solutions for big data and analyticsIT professionals aiming to automate and manage cloud infrastructureStudents and educators in computer science and related fieldsStartups and entrepreneurs building cloud-based businessesAnyone interested in leveraging cloud technologies with PythonBy the end of "Cloud Computing with Python: Develop, Deploy, Dominate," you'll have the confidence and skills to

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