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Discover the methodologies and best practices for getting started with Google Cloud Platform relational services – CloudSQL and CloudSpanner.    The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud.  You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application.       Sample applications are given that use Python to connect to CloudSQL and CloudSpanner, along with helpful features provided by the engines. You''ll also implement practical best practices in the last chapter. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways.       What You'll Learn       Get 

Hands On Google Cloud SQL and Cloud Spanner

Move data back and forth between database and application. The must-have knowledge in this book helps programmers learn how to use the official driver, MySQL Connector/Python, by which Python programs communicate with the MySQL database.      This book takes you from the initial installation of the connector through basic query execution, then through more advanced topics, error handing, and troubleshooting. The book covers both the traditional API as well as the new X DevAPI. The X DevAPI is part of MySQL 8.0 and is an API that can be used with connectors for several programming languages and is used from the command-line interface known as MySQL Shell. You will learn to use the connector by working through code examples and following a discussion of how the API calls work.      By the end of the book, you will be able to use MySQL as the back-end storage for your Python programs, and you’ll even have the option of choosing between SQL and NoSQL interfaces.       What You'll Learn    

MySQL Connector/Python Revealed

ENbook.pl

pstrongWithin this book, you will find 2 Books IN 1.... SQL Programming The Ultimate Step By Step Guide to Learning SQL for Total Beginners, as well as Python Programming A Pragmatic Approach To Programming Python for Total Beginners. strongBetween both books, you will gain an incredible insight into the world of both the SQL and Python programming languages, and you will really be set up for success with learning to code  strongBelow are the specifics of what each book contains, strong starting with Python, and then SQL br  br  strongAre you interested in learning how to write your own codesstrong Have you always been interested in seeing how coding works, and learning more about how certain programs work Do technology and computers interest you but you just don't know where to start If this sounds like something that interests you, then the Python coding language may be the right option for you.br  br  strongThe Python language is one of the preferred coding languages for you to lear

SQL AND PYthon Programming | Johnson Bryan | Twarda

bDesigned to provide an insight into the SQL and MySQL database concepts using python. bbrbr bKey Featuresbli A practical approach liliAmple code examples liliA Quick Start Guide to Python for beginners liulbrbDescriptionbbr Python is becoming increasingly popular among data scientists. However, analysis and visualization tools need to interact with the data stored in various formats such as relational and NOSQL databases.brThis book aims to make the reader proficient in interacting with databases such as MySQL, SQLite, MongoDB, and Cassandra.brThis book assumes that the reader has no prior knowledge of programming. Hence, basic programming concepts, key concepts of OOP, serialization and data persistence have been explained in such a way that it is easy to understand. NOSQL is an emerging technology. Using MongoDB and Cassandra, the two widely used NOSQL databases are explained in detail.brThe knowhow of handling databases using Python will certainly be helpful for readers pursuing a 

Python Data Persistence | Lathkar Malhar | Twarda

This book explains how to see one's own network through the eyes of an attacker, to understand their techniques and effectively protect against them. Through Python code samples the reader learns to code tools on subjects such as password sniffing, ARP poisoning, DNS spoofing, SQL injection, Google harvesting, Bluetooth and Wifi hacking. Furthermore the reader will be introduced to defense methods such as intrusion detection and prevention systems and log file analysis by diving into code.

Understanding Network Hacks | Ballmann Bastian | Twarda

As part of the best-selling emPocket Primerem series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. pbFEATURES brbulliIncludes a concise introduction to Python 3 and linear algebraliululliProvides a thorough introduction to data visualization and regular expressionsliululliCovers NumPy, Pandas, R, and SQLliululliIntroduces probability and statistical conceptsliululliFeatures numerous code samples throughoutliululliCompanion files with source code and figuresliulThe companion files are available online by emailing the publisher with proof of purchase at infomerclearning.com.

Data Science Fundamentals Pocket Primer | Campesato Oswald | Paperback | Twarda

pThis book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You'll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. iPractical Business Analytics Using R and Pythoni also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.pPart one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and

Practical Business Analytics Using R and Python | Hodeghatta Umesh R. | Twarda

pUtilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. ppThis book goes beyond the basics of web scraping and covers advanced topics such as natural language processing NLP and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services AWS-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data.brpbiGetting Structured Data from the Internetib also includes a ste

Getting Structured Data from the Internet | Patel Jay M. | Twarda

pbInstall data analytics into your brain with this comprehensive introductionbp piData Analytics  Visualization All-in-One For Dummiesi collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you'll be well on your way to becoming a priceless data jockey.p ul liMine data from data sourcesli liOrganize an

Data Analytics & Visualization All | In | One for Dummies | Hyman Jack A. | Paperback | Twarda

This book brings Python, SQL, and Db2 application development together as never before, to show how these three technologies can successfully be used with each other. By reading this book, you will receive ulliAn introduction to Db2liliAn overview of SQL and how it is usedliliAn introduction to Python and the Python librariesdrivers available for Db2 application developmentliliA step-by-step guide for setting up a Python-Db2 development environment on RedHat or Ubuntu LinuxliliIn-depth information on how to structure and build Python applications that interact with Db2 along with the link to a GitHub site that contains over 70 sample programs and 60 Jupyter NotebooksliulWhether you're a Python developer who wants to build applications that work with Db2, or you're a Db2 user who wants to know how to build Python applications that interact with Db2 servers and databases, you'll find this book a must-read.

QuickStart Guide to DB2 Development with Python | Sanders Roger E. | Paperback | Twarda

b A step-by-step guide that will help you manage data in a relational database using SQL with ease bbrbr bKey FeaturesbliUnderstand the concepts related to relational databases. lili Learn how to install MariaDB and MySQL on Windows, Linux and tools to access it. lili Learn how to connect Python and Pandas to MySQLMariaDB.librbDescriptionbbr This book starts with the concepts in RDBMS Relational Database Management Systems and SQL Structured Query Language. The first few chapters cover the definitions and a brief explanation of all the important concepts. They also cover the installation of MariaDB and MySQL on Windows and Raspberry Pi, as well as the setup of various tools used to connect to MySQL and MariaDB server processes. We will also understand how to install sample schemas and how to use basic SQL queries. Then we move on to the SELECT query in detail. The book explores the data retrieval aspect of SQL queries in detail with the WHERE clause and NULL handling in detail. The boo

Learn SQL with MySQL | Pajankar Ashwin | Twarda

brstrongAre you ready to chart a new course in your programming careerstrongbrp Are you ready but don't know where to begin brpDo not worry, because this book gives you the fundamentals of eight programming languages in a single book brpbrp Interestingly, you don't have to buy eight different programming books to learn each language as I have compiled everything you need in a single book. brstrongThis beginners' guide is what you need to learn to program easily and quickly from an expert with over 10 years' experience. strongbrAll you need is a bit of patience and planning  pThis book Step by Step Beginners' Guide to Learn Programming strongis intended for beginners and as reference material for professionalsstrong who want to get back to the programming world after a long time. brThe book covers the basic topics you need to work on as a beginner willing to learn languages, including C, C, C, SQL, Java, JavaScript, PHP, and Python. pThe book is separated into 9 different chapters and e

Step by Step Beginners' Guide to Learn Programming | Cooper Kevin | Twarda

Unleash your programming potential and emmasterem coding with this incredible 7-book bundle pbrppstrongAre you looking for the PERFECT introduction into the world of coding Want to uncover the secrets of Python, SQL, C and so much more Are you looking for the ultimate guide to getting started with programming Then this bundle is for you.strongppbrppWritten with the beginner in mind, this incredible 7-in-1 book bundle brings you everything you need to know about programming. Packed with a ton of advice and step-by-step instructions on all the most popular and useful languages, you'll explore how strongeven a complete beginnerstrong can get started with ease ppbrppCovering data science, Arduino, and even Raspberry pi, strongyou'll learn the fundamentalsstrong of object-oriented programming, operators, variables, loops, classes, arrays, strings and so much more ppbrppHere's just a little of what you'll discover inside pulliUncovering The Secrets of C, C, Python, SQL and MoreliliBreaking D

Computer Programming Crash Course | McKinnon Julian James | Twarda

Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.

Python by Example | Lacey Nichola | Twarda

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book - Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 - Develop and deploy efficient, scalable real-time Spark solutions - Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn - Learn about Apache Spark and the Spark 2.0 architecture - Build and interact with Spark DataFrames using Spark SQL - Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively - Read, transform, and understand data and use it to train machine learning mod

Learning PySpark | Lee Denny | Twarda

pData is bigger, arrives faster, and comes in a variety of formats--and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently Enter Apache Spark. p Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you'll be able to ul liLearn Python, SQL, Scala, or Java high-level Structured APIs liUnderstand Spark operations and SQL Engine liInspect, tune, and debug Spark operations with Spark configurations and Spark UI liConnect to data sources JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka liPerform analytics on batch and streaming data using Structured Streaming liBuild reliable data pipelines with open source Delta Lake and Spark liDevelop machi

Learning Spark | Damji Jules S. | Twarda

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not man

Big Data Analytics | Ankam Venkat | Paperback | Twarda

pSQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language such as Java, Python, or Go, but they're not experts in SQL. They often depend on antipatterns - solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins.p pNo matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this book. 

SQL Antipatterns, Volume 1 | Karwin Bill | Twarda

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