Python Essentials for AWS Cloud Developers


Book Description

A comprehensive guide to implementing Python applications in AWS while learning about key AWS services Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain hands-on experience in AWS services to effectively implement Python programming Utilize Python with open source libraries to develop data pipelines, APIs, and database applications Leverage the power of AWS to create a cloud-based server and use monitoring and logging features Book Description AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You'll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you'll be able to take your application development skills up a notch with AWS services and advance in your career. What you will learn Understand the fundamentals of AWS services for Python programming Find out how to configure AWS services to build Python applications Run and deploy Python applications using Lambda, EC2, and Elastic Beanstalk Provision EC2 servers on AWS and run Python applications Debug and monitor Python applications using PyCharm and CloudWatch Understand database operations on AWS by learning about DynamoDB and RDS Explore the API gateway service on AWS using Python to grasp API programming Who this book is for This book is for cloud developers, software developers, and IT specialists who want to develop Python applications on AWS as well as learn the concepts underlying AWS services for implementing the applications. Experience in Python programming is needed to be able to implement the applications on AWS.




Python Essentials for AWS Cloud Developers


Book Description

A comprehensive guide to implementing Python applications in AWS while learning about key AWS services Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain hands-on experience in AWS services to effectively implement Python programming Utilize Python with open source libraries to develop data pipelines, APIs, and database applications Leverage the power of AWS to create a cloud-based server and use monitoring and logging features Book Description AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You'll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you'll be able to take your application development skills up a notch with AWS services and advance in your career. What you will learn Understand the fundamentals of AWS services for Python programming Find out how to configure AWS services to build Python applications Run and deploy Python applications using Lambda, EC2, and Elastic Beanstalk Provision EC2 servers on AWS and run Python applications Debug and monitor Python applications using PyCharm and CloudWatch Understand database operations on AWS by learning about DynamoDB and RDS Explore the API gateway service on AWS using Python to grasp API programming Who this book is for This book is for cloud developers, software developers, and IT specialists who want to develop Python applications on AWS as well as learn the concepts underlying AWS services for implementing the applications. Experience in Python programming is needed to be able to implement the applications on AWS.




The Self-Taught Cloud Computing Engineer


Book Description

Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Key Features Learn all about cloud computing at your own pace with this easy-to-follow guide Develop a well-rounded skill set, encompassing fundamentals, data, machine learning, and security Work on real-world industrial projects and business use cases, and chart a path for your personal cloud career advancement Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.What you will learn Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in a multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for Whether you're new to cloud computing or a seasoned professional looking to expand your expertise, this book is for anyone in the information technology domain who aspires to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build a successful cloud computing career.




Hands-On Python for DevOps


Book Description

Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure Key Features Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration Combine the principles of Python and DevOps into a unified approach for problem solving Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn Implement DevOps practices and principles using Python Enhance your DevOps workloads with Python Create Python-based DevOps solutions to improve your workload efficiency Understand DevOps objectives and the mindset needed to achieve them Use Python to automate DevOps tasks and increase productivity Explore the concepts of DevSecOps, MLOps, DataOps, and more Use Python for containerized workloads in Docker and Kubernetes Who this book is for This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.




Python for DevOps


Book Description

Python for DevOps shows you how to harness Python for everyday Linux systems administration tasks, as well as today's most useful devops tools, including Docker, Kubernetes, and Terraform. Embrace automation and you'll never look at a boring task the same way again.




Python for Developers


Book Description

Master python programming language in easy steps DESCRIPTIONÊ It is said that learning Python is easy, but if a learner did not get the right path, then things can get complicated. This book is designed in such a way that you start from basics, followed by advance levels and then move on to some industry-related modules.Ê The initial chapters are written in a simple manner; some chapters are of advanceÊlevel. Start from the data structure of Python, such as string, list, tuple, and dictionary. The function and module chapter will let you know how to organize a large code. The built-in functions and modulesÊlike collections will give you greater flexibility to write efficient codes. The "time" chapter is very important when we deal with time-related things.ÊÊ The mid-chapter contains the advance chapters such as regular expressions, interactionÊwith OS, and multithreading. These chapters are helpful when we want to search the pattern, run the OS commands, and execute the program in parallel. The last chapters are specially designed from an industry point of view.ÊIn order to ensure a high quality of code, we use config-parser to avoid hard-coding and logger to log the events. In the multiprocessing and subprocess chapter, you will learn creation, execution, and communication between the processes.Ê KEY FEATURESÊÊ Start from basics of PythonÊ Control statement, loop structure, break, continue, and pass statementÊ Detailed description of Python data types: string, tuple, list, and dictionary with the help of example Organizing code using function, modules, and packages Saving text and complex data in text, pickle, and JSON files Learn the use of time and time zones Parallel execution with the help of threading, multiprocessing, and subprocessing Helpful modules for industry WHAT WILL YOU LEARNÊ Python for developers is created by taking beginner and intermediate programmers. The book starts from scratch and takes you to the advanced level. After learning advance levels, you will learn parallel programming using multithreading, multiprocessing, and sub-processing. The book will provide information on modules which will be helpful form industry perspective. The book also contains the question for the preparation of the interview. You will also learn the difference between Python 2.7 and Python 3.7. Some of the chapters include an advance part, which will give an in-depth knowledge of the chapters.Ê WHO THIS BOOK IS FORÊÊ This book is for whoever wants to learn Python and aspires to become a developer or work on projects. Beginners can read this book easily; however, a little knowledge about the programming concepts would be helpful. Basic knowledge of computers would suffice. Table of Contents 1. Introduction to Python 2. Python Operators 3. Control statements and loop 4. Strings 5. List and tuple 6. Dictionary and sets 7. Functions 8. Modules 9. Exception handling 10. File handling 11. Collection 12. Random modules and built-in function 13. Time 14. Regular expression 15. Operating system interfaces 16. Class 17. Threads 18. Queue 19. Multiprocessing and Subprocess 20. Useful Modules




Python Programming Essentials: Mastering the Fundamentals


Book Description

"Python Programming Essentials: Mastering the Fundamentals" is your comprehensive guide to harnessing the power of Python, from its basic syntax to advanced concepts and practical applications. In this book, you'll embark on a journey through Python's core features, starting with an introduction that lays the foundation for understanding why Python has become a dominant force in the programming world. From there, you'll dive into the basics, learning about variables, data types, control flow, and functions. As you progress, you'll explore core concepts such as data structures, object-oriented programming (OOP), and file handling, gaining a deeper understanding of how Python enables you to efficiently manage and manipulate data. The book doesn't stop at the basics; it delves into advanced topics like exception handling, regular expressions, web development with Flask, and database integration with SQLite. You'll also discover how to apply your newfound knowledge to real-world projects, such as building a to-do list application, analyzing data, and web scraping. To reinforce your learning, each chapter is packed with exercises, challenges, and questions to test your understanding and help you solidify your skills. Plus, you'll learn how to work with Python libraries and packages, enhance your coding style and best practices, and optimize performance for efficient development. Whether you're a beginner looking to get started with Python or an experienced programmer aiming to deepen your understanding and enhance your skills, "Python Programming Essentials" is your ultimate companion on the journey to mastering Python programming. Unlock Python's potential and unleash your creativity with this indispensable resource.




Python and AWS Cookbook


Book Description

This book focuses on Elastic Compute Cloud (EC2) and Simple Storage Service (S3) for developers writing in Python.




Python API Development Fundamentals


Book Description

Learn all that’s needed to build a fully functional web application from scratch. Key FeaturesDelve deep into the principle behind RESTful APILearn how to build a scalable web application with the RESTful API architecture and Flask frameworkKnow what are the exact tools and methodology to test your applications and how to use themBook Description Python is a flexible language that can be used for much more than just script development. By knowing the Python RESTful APIs work, you can build a powerful backend for web applications and mobile applications using Python. You'll take your first steps by building a simple API and learning how the frontend web interface can communicate with the backend. You'll also learn how to serialize and deserialize objects using the marshmallow library. Then, you'll learn how to authenticate and authorize users using Flask-JWT. You'll also learn how to enhance your APIs by adding useful features, such as email, image upload, searching, and pagination. You'll wrap up the whole book by deploying your APIs to the cloud. By the end of this book, you'll have the confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications. What you will learnUnderstand the concept of a RESTful APIBuild a RESTful API using Flask and the Flask-Restful extensionManipulate a database using Flask-SQLAlchemy and Flask-MigrateSend out plaintext and HTML format emails using the Mailgun APIImplement a pagination function using Flask-SQLAlchemyUse caching to improve API performance and efficiently obtain the latest informationDeploy an application to Heroku and test it using PostmanWho this book is for This book is ideal for aspiring software developers who have a basic-to-intermediate knowledge of Python programming and who want to develop web applications using Python. Knowledge of how web applications work will be beneficial but is not essential.