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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
This table lists the machine-readable file formats that can be exported from reference managers. These are typically used to share data with other reference managers or with other people who use a reference manager. To exchange data from one program to another, the first program must be able to export to a format that the second program may import.
KDiff3 [data missing] (part of KDE SDK, [24] as well as a plug-in to KDE Dolphin file manager) [25] [26] Joachim Eibl and KDE SDK KDiff3 Team [27] Yes GPL v2 Yes <2004 (v0.9.86) 2023-01-13 (v1.10) Yes as part of KDevelop KDE SDK download site or from Windows store or KDE download site (most recent version) as separate application.
Most database programs can export data as CSV. Most spreadsheet programs can read CSV data, allowing CSV to be used as an intermediate format when transferring data from a database to a spreadsheet. CSV is also used for storing data. Common data science tools such as Pandas include the option to export data to CSV for long-term storage. [10]
Linux, Windows, macOS Standalone 2006 Navicat Data Modeler PremiumSoft SMBs and enterprises Proprietary: MySQL, MS SQL Server, PostgreSQL, Oracle, SQLite: Windows, macOS, Linux Standalone 2012 NORMA Object-Role Modeling Terry Halpin SMBs and enterprises Open source MySQL, MS SQL Server, PostgreSQL, Oracle, IBM Db2: Windows Visual Studio Extension
Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.
Many statistical and data processing systems have functions to convert between these two presentations, for instance the R programming language has several packages such as the tidyr package. The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow ...
the JavaScript language specification for Internationalization explicitly specifies the usage of IANA Time Zone names for API, and recommends the usage of the time zone data as well. [30] Numerous libraries also available: timezone-js, BigEasy/TimeZone, WallTime-js and moment-timezone; the Pandas (Python) module pandas – Python Data Analysis ...