SQLite is a relational database management system,
implemented in a small C library which can be linked directly into programs, and released into the
Although SQLite itself is developed in C, it can be used from a wide variety of programming
C, C++, Delphi, Java,
Python, R, Smalltalk and Tcl.
Here are some books about SQLite ;
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Application developers, take note: databases aren't just for the IS group any more. You can build database-backed applications for the desktop, Web, embedded systems, or operating systems without linking to heavy-duty client-server databases such as Oracle and MySQL. This book shows you how to use SQLite, a small and lightweight relational database engine that you can build directly into your application.
With SQLite, you'll discover how to develop a database-backed application that remains manageable in size and complexity. This book guides you every step of the way. You'll get a crash course in data modeling, become familiar with SQLite's dialect of the SQL database language, and much more.
Learn how to maintain localized storage in a single file that requires no configuration
Build your own SQLite library or use a precompiled distribution in your application
Get a primer on SQL, and learn how to use several language functions and extensions
Work with SQLite using a scripting language or a C-based language such as C# or Objective-C
Understand the basics of database design, and learn how to transfer what you already know to SQLite
Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.
Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you’ll also discover how to efficiently design and manage databases to meet your needs.
You’ll also learn how to:
Explore relational databases, including lightweight and centralized models
Use SQLite and SQLiteStudio to create lightweight databases in minutes
Query and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BY
Join tables to get a more complete view of your business data
Build your own tables and centralized databases by using normalized design principles
Manage data by learning how to INSERT, DELETE, and UPDATE records
SQLite is a very lightweight database, with no installation required, zero configuration, and no server required. SQLite is widely used as a database of choice in mobile apps, camera, home electronic devices and other embedded systems.
This book is designed for beginners with little or no prior database experience.
Here is what you will learn:
Chapter 1: Introduction
Chapter 2: Create Database
CREATE Database in a Specific Location
Create database and populate it with tables from a file
Backup & Database
Chapter 3: Create, Alter, Drop Table
Add columns- Using ALTER TABLE Command
Insert value into a table
Chapter 4: Primary & Foreign Key
Not null constraint
What is a SQLite Foreign KEY?
Chapter 5: Data Types
Examples of storing data types in SQLite
Chapter 6: Select, Where, Limit, Count, Group By, Union
Outside of the world of enterprise computing, there is one database that enables a huge range of software and hardware to flex relational database capabilities, without the baggage and cost of traditional database management systems. That database is SQLite—an embeddable database with an amazingly small footprint, yet able to handle databases of enormous size. SQLite comes equipped with an array of powerful features available through a host of programming and development environments. It is supported by languages such as C, Java, Perl, PHP, Python, Ruby, TCL, and more.
The Definitive Guide to SQLite, Second Edition is devoted to complete coverage of the latest version of this powerful database. It offers a thorough overview of SQLite’s capabilities and APIs. The book also uses SQLite as the basis for helping newcomers make their first foray into database development. In only a short time you can be writing programs as diverse as a server-side browser plug-in or the next great iPhone or Android application!
Learn about SQLite extensions for C, Java, Perl, PHP, Python, Ruby, and Tcl.
Get solid coverage of SQLite internals.
Explore developing iOS (iPhone) and Android applications with SQLite.
SQLite is the solution chosen for thousands of products around the world, from mobile phones and GPS devices to set-top boxes and web browsers. You almost certainly use SQLite every day without even realizing it!
Product Description: SQLite is a small, fast, embeddable, SQL-based database server. It is easy to install, needs no management, and is open source. This book describes SQLite in detail. With hundreds of examples, plus a proven approach and structure, the book teaches you how to use SQLite efficiently and effectively. It contains a complete description of the SQL dialect as implemented in SQLite version 3.6. The book can be seen as a tutorial and a reference book. Source code for the numerous SQL examples and exercises included in this book can be downloaded from www.r20.nl.
SQLite is a small, fast, embeddable database. What makes it popular is the combination of the database engine and interface into a single library as well as the ability to store all the data in a single file. Its functionality lies between MySQL and PostgreSQL, however it is faster than both databases.
In SQLite, author Chris Newman provides a thorough, practical guide to using, administering and programming this up-and-coming database. If you want to learn about SQLite or about its use in conjunction with PHP this is the book for you.
This is the first book to devote complete coverage to the most recent release of the popular embedded open source database SQLite. The book acts as both an ideal tutorial and reference guide. It offers experienced database developers a thorough overview of its capabilities and APIs, yet is mindful of newcomers who may be making their first foray into the database environment with SQLite.
Readers are presented with introductions to the SQLite extensions available for C, Java, Perl, PHP, Python, Ruby, and Tcl.
Product Description: This volume describes data visualization with Python and using SQL database for data analysis. I assume you are familiar with Python 3, have scientific Python 3 distribution installed and know how to start IPython notebook that is used for all examples in this book. If you need help setting up scientific Python on your machine be sure to check out introductory volume 1 of this series. You might also want to look at volume 2 that deals with reading and writing tabular data, interactive data exploration with IPython notebook, GUI programming, deployment and high performance computations in Python.
Data visualization is one of the strongest points of scientific Python stack. Matplotlib library makes it easy to do both quick data exploration and creating publication quality graphs. It has ready made routines for drawing wide variety of plots, from classical line and bar plots to modern violin plots. It allows users to annotate plots or create novel plot types. Matplotlib's ability to export drawings in numerous graphic formats, including pdf, svg, animated gif or mp4 video makes it useful for interactive data exploration, web applications or drawing high quality diagrams. It is way more flexible than any GUI plotting software and will benefit any student's or scientist's tool box. This book is intended to get you started with Matplotlib. SQL databases is a science of its own. Usually database is associated with data storage, but in this book I use it for data analysis. SQL is more expressive, clear and powerful than any spreadsheet application can ever be. SQLite database is used for all examples. Python is used to load realistic bioinformatic data, but most of the queries can be run in GUI database management software you can download from the internet. In a final chapter I combine Python, Matplotlib and SQL to solve a realistic problem - identify genes that are frequently mentioned together in scientific publications and draw a network showing how many papers mention each pair of genes.
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