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Modern Data Architectures with Python
Book description about modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You’ll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake. Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python. You’ll gain an understanding of notebooks and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you’ll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka.
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Hands-On Application Development with PyCharm. Build applications like a pro with the ultimate python development tool
Book description about In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers. To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts.
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Full-Stack Flask and React. Learn, code, and deploy powerful web applications with Flask 2 and React 18
Developing an interactive, efficient, and fast enterprise web application requires both the right approach and tooling. If you are a web developer looking for a way to tap the power of React’s reusable UI components and the simplicity of Flask for backend development to develop production-ready, scalable web apps in Python, then this book is for you. Starting with an introduction to React, a JavaScript library for building highly interactive and reusable user interfaces, you’ll progress to data modeling for the web using SQLAlchemy and PostgreSQL, and then get to grips with Restful API development. This book will aid you in identifying your app users and managing access to your web application. You’ll also explore modular architectural design for Flask-based web applications and master error-handling techniques. Before you deploy your web app on AWS, this book will show you how to integrate unit testing best practices to ensure code reliability and functionality, making your apps not only efficient and fast but also robust and dependable.
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.
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Snowflake. The Definitive Guide. Architecting, Designing, and Deploying on the Snowflake Data Cloud
Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. Whether you're an IT professional working in data warehousing or data science, a business analyst or technical manager, or an aspiring data professional wanting to get more hands-on experience with the Snowflake platform, this book is for you.
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Differensial geometriya va topologiya
Bu darslik universitetlarning matematika yónalishi uchun móljallangan bólib, amaldagi yangi bakalavrlar dasturi asosida yozilgan. Darslikdan magistr, ilmiy-tadqiqotchilar va oliy óquv yurtlari óqituvchilar ham foydalanishlari nazarda tutilgan.
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Security Chaos Engineering
Cybersecurity is broken. Year after year, attackers remain unchallenged and undeterred, while engineering teams feel pressure to design, build, and operate "secure" systems. Failure can't be prevented, mental models of systems are incomplete, and our digital world constantly evolves. How can we verify that our systems behave the way we expect? What can we do to improve our systems' resilience. In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals.
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Economics
All rights reserved No part this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopyying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Published simultaneously in Canada.
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Practical Data Privacy. Enhancing Privacy and Security in Data
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems.
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Kafka Connect Build and Run Data Pipelines
Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform. Kafka Connect is a key component of Kafka that lets you flow data between your existing systems and Kafka to process data in real time. With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks. Kafka Connect allows you to quickly adopt Kafka by tapping into existing data and enabling many advanced use cases. No matter where you are in your event streaming journey, Kafka Connect is the ideal tool for building a modern data pipeline.
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Iqtisodiy xavfsizlik
Darslikda iqtisodiy xavfsizlikni ta'minlashning nazariy-uslubiy asoslari va ustuvor yo'nalishlariga bag'ishlangan mavzular yoritilgan. Shuningdek, darslikda mamlakatimizda aholining ijtimoiy, oziq-ovqat, transport va axborot xavfsizligini ta'minlash, korrupsiyaga qarshi kurashning nazariy va uslubiy asoslarini yoritishga asosiy e'tibor qaratilgan.
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Clean Code Cookbook
Often, software engineers and architects work with large, complex code bases that they need to scale and maintain. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real life examples in JavaScript, PHP, Java, Python, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, and extensibility, as well as code smells—symptoms of a problem that requires special attention—and the recipes to address them.
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Modern Concurrency in Swift
This book is for intermediate Swift developers who are familiar with writing asynchronous applications and who want to leverage the concurrency features Apple introduced in Swift 5.5 and its evolution throughout the years, to write safer and more predictable asynchronous apps. In Swift 5.5, Apple introduced a new concurrency model featuring the async/await syntax, which lets you write asynchronous code that reads like synchronous code. But like any new feature, here be dragons! So how will you achieve the much-desired mastery of modern Swift concurrency. Modern Concurrency in Swift comes to the rescue, showcasing what you need to know about async/await, tasks, actors and everything in between!
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Банк и деньги
В учебнике рассматриваются теоретические аспекты возникновения развития и улучшения денежного, кредитного и банковского дела, а также международные валютно- кредитные отношения. Основное внимание уделяется организации и особенностям денежной- кредитной и банковской системы Республики Узбекистана.
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