Search Results for "python data analysis" - Page 126
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Showing 3330 open source projects for "python data analysis"
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A python program to view and track a portfolio of stocks. The eventual intent is to evolve it into a suite of commandline tools to view financial data. Project will eventually include tools for generating amoritization schedules, reviewing employee sto
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SICKnotes (Site Inventory, Configuration, and Knowledge) is a permissions-based Web tool that assists with inventory, system changes, contact info, and knowledge for anything from a small startup to a data center. SICKnotes requires Python and MySQL.
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A multithreaded GNOME-Python application to monitor stock and option prices using data from free web sites. Also tracks a portfolio of selected stocks.
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ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does... -
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This project is a collection of Python modules and tools for reading Advanced Disc Filing System (ADFS) data from floppy disk images and extracting data from them.
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Write your HotSync conduit in Python. Initial source code kindly donated by Jeff Senn. Project source almost complete when donated. Currently Alpha status due to dormancy. Project is a Python module that talks to the Palm C HotSync APIs.
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Tool to capture data from photovoltaic solar collectors. Currently works for Outback Mate. May be expanded for Xantrex or other inverters/charge controllers.
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SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.
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PyLogV is an application to ease the more common user of a *nix desktop to monitor error and system messages by displaying them in a GTK window using GTK's Python bindings.
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Embeds a python interpreter in the OpenDX (http://www.opendx.org/) visualization system. This allows the user to quickly write their own custom modules using a Python program.
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The project is aimed at all the multimedia codec developers. It will play various data formats like yuv420/422, rgb888/565/etc. It will support conversion from one color space to another, scaling/zooming, fps control, grid display to identify MB boundary
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a tiny python script to analyze logfiles of irc-conversations and generate corresponding html-output
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ipymssql provides Python support for Microsoft SQL Server. It uses the .NET Framework Data Provider for SQL Server in IronPython. It adheres to the Python DB API 2.0 interface, and supports callproc().
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This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
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nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
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A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.
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The proute engine is a library for processing and displaying vehicle routing information. It typically takes as input a vehicle routing problem instance as well as a solution, and can output graphical views of this data (nodes, routes, etc).
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This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
