Search Results for "python-dateutil"
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Showing 8 open source projects for "python-dateutil"
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QSV
Blazing-fast Data-Wrangling toolkit
qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line. -
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pyDaSSQLiteMan
An easy way to manage SQLite databases and query CSV files
Welcome to the project page for pyDaSSQLiteMan (Python Data and SQLite Manager). This application is a Python Tkinter application designed to enable easy SQLite database file manipulation, and an easy method to run SQL styled queries on CSV files. If you're not downloading the pre-compiled executable you will need Python to run this app. You can download it from http://www.python.org/ . -
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csv2odf
csv2odf can convert csv data to formatted spreadsheets and documents.
...It can be used to create spreadsheets and documents for LibreOffice, OpenOffice, Microsoft Office Excel and Word. It is open source GPL v3 and crossplatform, it can run on most operating systems that can run Python (Python is required). More details, example files, and online manual at http://csv2odf.sf.net. -
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Bots open source edi translator
Bots is a complete translator for edi: edifact, x12, xml, tradacoms
Bots is a complete translator for edi (Electronic Data Interchange). EDI data formats eg: edifact, x12, tradacoms, xml. Mail: http://groups.google.com/group/botsmail Web-site: http://bots.sourceforge.net Wiki: http://bots.readthedocs.io Develop: https://github.com/eppye-bots/bots -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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py-collectd-csv
A python module and scripts for fetching specific CollectD CSV data.
CollectD-CSV is a small project providing utilities for analyzing CollectD CSV data locally. CollectD_CSV module provides functions for fetching data with a specified time interval and regular expressions matching the end of the path without the datestamp. The fetched data can be saved into files or returned as a list. fetchCSV.py script can be used to fetch the data matching the given parameters and save to files in a specified directory. monitorCSV.py script calculates the minimum,... -
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The London Datastore (http://data.london.gov.uk) was created by the Greater London Authority (GLA) as an innovation towards freeing London’s data. This SourceForge Project will be used to Open Source our development efforts surrounding data formats
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CSVChecker is a python utility designed to check CSV file for field length and format. Configuration is made on a field basis through YAML configuration file.
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XML is a standard to move data around easily and CSV format is the easiest to display huge chunk of data. xml2csv offers, light weight and easy conversion of XML data to CSV formated data.
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