Search Results for "select"
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Showing 5 open source projects for "select"
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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The Asset Guardian (TAG) is an intuitive and highly scalable asset maintenance system that helps organizations streamline maintenance processes, improve asset performances, reduce operational costs, and boost productivity.
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Ibis
Expressive analytics in Python at any scale
Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. All tables in Ibis are immutable. To select... -
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Py Linked Table Manager
This application is to relink/update/refresh MS Access tables.
Py Linked Table Manager will help you relink/update/refresh MS Access tables and also supports UNC paths. This application only works on Access 97-2003 and does not work on Access newer than 2003. Supports (mdb, .mda, .mde, .mdw). This application is developed on Python using Tkinter. -
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Multi Whois is a small whois domain name search program capable of finding bulk domains via a wordlist file or specific domains provided by the user. It's a good way to search for domains that are available to buy. The wordlist format consists of a domain name per line with or without the .dot tld.. Examples below google yahoo foobar Note:Must select a tld from the dropdown box or google.com yahoo.net foobar.guru
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A tool that parses SQL Select statements and generates a diagram. The diagram shows parts of the underlying SQL directly in the diagram. For example x=30 , GROUP BY (year), HAVING MIN(age) > 18. It is easy to see cartesian joins and/or loops.
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Unlock significant value in your marketing campaigns, lead generation strategies, and identity verification workflows with our leading US consumer and B2B datasets. Our unrivaled consumer datasets provide you with valuable consumer insights including lifestyle attributes, buyer intent, and consumer website visits. Explore our B2B dataset for comprehensive and up-to-date contact data on US companies and professionals to build your sales pipeline. Trust our identity data for accurate identity verification to ensure platform trust and compliance.
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PONY - ORM & web publication framework
Pony is a fast and easy to use Python ORM
Pony is an object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application. Following is an example of a query in Pony: select(p for p...
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