Python And Aws Cookbook
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Python And Aws Cookbook
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Author : Mitch Garnaat
language : en
Publisher:
Release Date : 2012
Python And Aws Cookbook written by Mitch Garnaat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Application software categories.
If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen recipes for using Python with AWS, based on the author's boto library. You'll find detailed recipes for working with the S3 storage service as well as EC2, the service that lets you design and build cloud applications. Each recipe includes a code solution you can use immediately, along with a discussion of why and how the recipe w.
Python Web Scraping Cookbook
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Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-09
Python Web Scraping Cookbook written by Michael Heydt and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
Untangle your web scraping complexities and access web data with ease using Python scripts Key Features Hands-on recipes for advancing your web scraping skills to expert level One-stop solution guide to address complex and challenging web scraping tasks using Python Understand web page structures and collect data from a website with ease Book Description Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites and proxies. You'll explore a number of real-world scenarios where every part of the development or product life cycle will be fully covered. You will not only develop the skills to design reliable, high-performing data flows, but also deploy your codebase to Amazon Web Services (AWS). If you are involved in software engineering, product development, or data mining or in building data-driven products, you will find this book useful as each recipe has a clear purpose and objective. Right from extracting data from websites to writing a sophisticated web crawler, the book's independent recipes will be extremely helpful while on the job. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web spidering, working with AJAX websites, and paginated items. You will also understand to tackle problems such as 403 errors, working with proxy, scraping images, and LXML. By the end of this book, you will be able to scrape websites more efficiently and deploy and operate your scraper in the cloud. What you will learn Use a variety of tools to scrape any website and data, including Scrapy and Selenium Master expression languages, such as XPath and CSS, and regular expressions to extract web data Deal with scraping traps such as hidden form fields, throttling, pagination, and different status codes Build robust scraping pipelines with SQS and RabbitMQ Scrape assets like image media and learn what to do when Scraper fails to run Explore ETL techniques of building a customized crawler, parser, and convert structured and unstructured data from websites Deploy and run your scraper as a service in AWS Elastic Container Service Who this book is for This book is ideal for Python programmers, web administrators, security professionals, and anyone who wants to perform web analytics. Familiarity with Python and basic understanding of web scraping will be useful to make the best of this book.
Machine Learning With Amazon Sagemaker Cookbook
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Author : Joshua Arvin Lat
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-29
Machine Learning With Amazon Sagemaker Cookbook written by Joshua Arvin Lat and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Computers categories.
A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Key FeaturesPerform ML experiments with built-in and custom algorithms in SageMakerExplore proven solutions when working with TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learnUse the different features and capabilities of SageMaker to automate relevant ML processesBook Description Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams. By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems. What you will learnTrain and deploy NLP, time series forecasting, and computer vision models to solve different business problemsPush the limits of customization in SageMaker using custom container imagesUse AutoML capabilities with SageMaker Autopilot to create high-quality modelsWork with effective data analysis and preparation techniquesExplore solutions for debugging and managing ML experiments and deploymentsDeal with bias detection and ML explainability requirements using SageMaker ClarifyAutomate intermediate and complex deployments and workflows using a variety of solutionsWho this book is for This book is for developers, data scientists, and machine learning practitioners interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 80 step-by-step recipes. All you need is an AWS account to get things running. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.
Python Cookbook
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Author : David Beazley
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-05-10
Python Cookbook written by David Beazley and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-10 with Computers categories.
If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, youâ??ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include: Data Structures and Algorithms Strings and Text Numbers, Dates, and Times Iterators and Generators Files and I/O Data Encoding and Processing Functions Classes and Objects Metaprogramming Modules and Packages Network and Web Programming Concurrency Utility Scripting and System Administration Testing, Debugging, and Exceptions C Extensions
Python Essentials For Aws Cloud Developers
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Author : Serkan Sakinmaz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-19
Python Essentials For Aws Cloud Developers written by Serkan Sakinmaz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-19 with Computers categories.
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.
Aws Cookbook
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Author : John Culkin
language : en
Publisher:
Release Date : 2021
Aws Cookbook written by John Culkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This practical guide provides over 100 self-contained recipes to help you creatively solve issues you may encounter in your AWS cloud endeavors. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook will give you what you need to both address foundational tasks and create high-level capabilities. AWS Cookbook provides real-world examples that incorporate best practices. Each recipe includes code that you can safely execute in a sandbox AWS account to ensure that it works. From there, you can customize the code to help construct your application or fix your specific existing problem. Recipes also include a discussion that explains the approach and provides context. This cookbook takes you beyond theory, providing the nuts and bolts you need to successfully build on AWS. You'll find recipes for: Organizing multiple accounts for enterprise deployments Locking down S3 buckets Analyzing IAM roles Autoscaling a containerized service Summarizing news articles Standing up a virtual call center Creating a chatbot that can pull answers from a knowledge repository Automating security group rule monitoring, looking for rogue traffic flows And more.
Aws Cookbook
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Author : John Culkin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-02
Aws Cookbook written by John Culkin and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Computers categories.
This practical guide provides over 70 self-contained recipes to help you creatively solve common AWS challenges you'll encounter on your cloud journey. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook provides what you need to address foundational tasks and create high-level capabilities. Authors John Culkin and Mike Zazon share real-world examples that incorporate best practices. Each recipe includes a diagram to visualize the components. Code is provided so that you can safely execute in an AWS account to ensure solutions work as described. From there, you can customize the code to help construct an application or fix an existing problem. Each recipe also includes a discussion to provide context, explain the approach, and challenge you to explore the possibilities further. Go beyond theory and learn the details you need to successfully build on AWS. The recipes help you: Redact personal identifiable information (PII) from text using Amazon Comprehend Automate password rotation for Amazon RDS databases Use VPC Reachability Analyzer to verify and troubleshoot network paths Lock down Amazon Simple Storage Service (S3) buckets Analyze AWS Identity and Access Management policies Autoscale a containerized service
Python Cookbook
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Author : Alex Martelli
language : en
Publisher:
Release Date : 2007
Python Cookbook written by Alex Martelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Building Serverless Python Apps Using Fastapi And Aws
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Author : Eidan James Rosado
language : en
Publisher: Viratec Interactive LLC
Release Date : 2022-06-01
Building Serverless Python Apps Using Fastapi And Aws written by Eidan James Rosado and has been published by Viratec Interactive LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
There are varying ways one can pursue starting a new or converting an existing project to a Serverless architecture. One of the many arguments heard is that developers typically don't know where to begin. This book is intended for those seeking to leverage a Serverless set up with a FastAPI project. This book provides a step-by-step guide for building Python APIs on AWS using FastAPI, AWS CDK, GraphQL, and more! It aims to solve one of the more predominant causes of delaying the transition to Serverless by providing engineers with an outline of where to begin on their Serverless journey. Code samples are provided to demonstrate several avenues that can be taken as well as some housekeeping items like formatting and building the continuous integration and delivery pipeline. Readers also get end-of-chapter quizzes, cheat sheets, and access to the full source code from the examples in this book.
Python Cookbook
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Author : Ashish Prasad
language : en
Publisher: Independently Published
Release Date : 2024-07-15
Python Cookbook written by Ashish Prasad and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Computers categories.
Python Cookbook: 100 Recipes for Programming Success Unleash your inner Pythonista and cook up a storm of efficient, elegant code with this comprehensive cookbook! Whether you're a beginner eager to dive into Python's delicious syntax or an experienced developer hungry for new techniques, this book serves up a feast of practical recipes that will satisfy your coding cravings. Inside this Cookbook, You'll Find: 100 Bite-Sized Recipes: Each recipe focuses on a specific Python task, providing you with ready-to-use code snippets, clear explanations, and sample outputs to guide you through the process. From Appetizers to Main Courses: Start with foundational recipes on variables, data types, and control flow, then progress to more advanced dishes like object-oriented programming, file I/O, and web scraping. A Taste of Everything: Explore a diverse menu of Python flavors, including data analysis with Pandas, machine learning with scikit-learn, and even building simple web applications and chatbots. Real-World Ingredients: Each recipe uses practical examples and real-world scenarios, ensuring you gain skills you can apply directly to your own projects. Clear and Concise Instructions: The explanations are written in plain English, making complex concepts easy to understand, even for beginners. This Cookbook is Perfect For: Beginners: Get a solid grasp of Python fundamentals and build confidence with hands-on exercises. Self-Learners: Learn at your own pace, following the step-by-step recipes and experimenting with variations. Experienced Programmers: Discover new tips, tricks, and best practices to write cleaner, more efficient Python code. Anyone Who Loves to Code: Whether you're a student, hobbyist, or professional developer, this cookbook will help you cook up some Python magic! What are you waiting for? Grab your apron, fire up your Python interpreter, and start cooking up a storm of coding success with this essential Python cookbook!