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My 2nd ambient video<br/><br/>Software Used:<br/><br/>Filmora 9<br/>paint.net<br/>Wondrshare video Converter<br/><br/>Effect found on site that offer free fire effects and weather effects.
⏲ 2:10 👁 65K
Thejesh GN
⏲ 4:51 👁 3K
IT TECH TARUN
⏲ 6:2 👁 6.5K
https://clicktofreeacces.blogspot.li/?book=0672337924<br/><br/>Sams Teach Yourself Microsoft SQL Server T-SQL in 10 Minutes offers straightforward, practical answers when you need fast results. By working through the book's 30 lessons of 10 minutes or less, you'll learn what you need to know to take advantage of Microsoft SQL Server's T-SQL language.This handy pocket guide starts with simple data retrieval and moves on to more complex topics, including the use of joins, subqueries, full text-based searches, functions and stored procedures, cursors, triggers, table constraints,XML, JSON, and much more.Learn how to... Use T-SQL in the Microsoft SQL Server environment Construct complex T-SQL statements using multiple clauses and operators Filter data so you get the information you need quickly Retrieve, sort, and format database contents Join two or more related tables Make SQL Server work for you with globalization and localization Create subqueries to pinpoint your data Automate your workload with triggers Create and alter database tables Work with views, stored procedures, and more Contents at a Glance 1 Understanding SQL 2 Introducing SQL Server 3 Working with SQL Server 4 Retrieving Data 5 Sorting Retrieved Data 6 Filtering Data 7 Advanced Data Filtering 8 Using Wildcard Filtering 9 Creating Calculated Fields 10 Using Data Manipulation Functions 11 Summarizing Data 12 Grouping Data 13 Working with Subqueries 14 Joining Tables 15 Creating Advanced Joins 16 Combining Queries 17 Full-Text Searching 18 Inserting Data 19 Updating and Deleting Data 20 Creating and Manipulating Tables 21 Using Views 22 Programming with T-SQL 23 Working with Stored Procedures 24 Using Cursors 25 Using Triggers 26 Managing Transaction Processing 27 Working with XML and JSON 28 Globalization and Localization 29 Managing Security 30 Improving Performance A The Example Tables B T-SQL Statement Syntax C T-SQL Datatypes D T-SQL Reserved Words<br/>
⏲ 0:31 ✓ 24-Mar-2021
SyntaxByte
⏲ 5:29 👁 132.3K
DevNami
⏲ 2:58 👁 23.2K
https://goodideas22.blogspot.com/?book=1491947853<br/>This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you started--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on plain text, CSV, HTML/XML, and JSONExplore data, compute descriptive statistics, and create visualizationsManage your data science workflow using DrakeCreate reusable tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelines using GNU ParallelModel data with dimensionality reduction, clustering, regression, and classification algorithms<br/>
⏲ 0:34 ✓ 23-Mar-2021
Python Tutorials for Digital Humanities
⏲ 3:44 👁 1.5K
Alan Simpson
⏲ 9:43 👁 10.6K
https://goodideas22.blogspot.com/?book=1484263693<br/>Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users.Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world.What You Will LearnMaster Azure SQL Database in your development projects from design to the CI/CD pipelineAccess your data from any programming language and platformCombine key-value, JSON, and relational data in the same databasePush data-intensive compute work into the database for improved efficiencyDelight your customers by detecting and improving poorly performing queriesEnhance performance through features such as columnstore indexes and lock-free tablesBuild confidence in your mastery of Azure SQL Database's feature setWho This Book Is ForDevelopers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code<br/>
⏲ 0:36 ✓ 23-Mar-2021
The Polyglot Developer
⏲ 7:54 👁 14.1K
JSON to CSV
⏲ 1:29 👁 4.5K
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