Showing 572 open source projects for "apostila-python"

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  • 1
    PyNanoLab

    PyNanoLab

    data analysis and Visualization with matplotlib

    PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI.
    Downloads: 0 This Week
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  • 2
    Wooey

    Wooey

    A Django app that creates automatic web UIs for Python scripts

    ...Enable the easy wrapping of any program in simple python instead of having to use language specific to existing tools such as Galaxy. Enable fellow lab members with no command line experience to utilize python scripts. Autodocument workflows for data analysis (simple model saving).
    Downloads: 0 This Week
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  • 3
    The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
    Downloads: 1 This Week
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  • 4
    Padasip

    Padasip

    Python Adaptive Signal Processing

    Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes.
    Downloads: 0 This Week
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  • 5
    rocket-bi

    rocket-bi

    An open-source web-based self-service BI for analytical databases

    Rocket.BI is a free, open-source, web-based business intelligence solution specifically designed for analytical databases. It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the...
    Downloads: 0 This Week
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  • 6
    Bloxs

    Bloxs

    Build dashboards in Jupyter Notebook with numeric and chart boxes

    Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook.
    Downloads: 0 This Week
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  • 7
    Spark.jl

    Spark.jl

    Julia binding for Apache Spark

    ...Spark.jl provides an interface to Apache Spark™ platform, including SQL / DataFrame and Structured Streaming. It closely follows the PySpark API, making it easy to translate existing Python code to Julia. Spark.jl supports multiple cluster types (in client mode), and can be considered as an analog to PySpark or RSpark within the Julia ecosystem. It supports running within on-premise installations, as well as hosted instances such as Amazon EMR and Azure HDInsight.
    Downloads: 0 This Week
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  • 8
    DataStation Community Edition

    DataStation Community Edition

    App to easily query, script, and visualize data from every database

    ...It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable.
    Downloads: 0 This Week
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  • 9
    QuickPlot

    QuickPlot

    Simple user interface for gnuplot aimed for reflectometry data

    Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot.
    Downloads: 0 This Week
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  • 10
    rimhistory

    rimhistory

    RimWorld game save data analyzer

    RimWorld game save data analyzer.
    Downloads: 0 This Week
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  • 11
    SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
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    Downloads: 1,570 This Week
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  • 12
    TSNE-CUDA

    TSNE-CUDA

    GPU Accelerated t-SNE for CUDA with Python bindings

    This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. ...
    Downloads: 0 This Week
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  • 13
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. ...
    Downloads: 0 This Week
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  • 14
    ipycytoscape

    ipycytoscape

    A Cytoscape Jupyter widget

    A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter Notebook.
    Downloads: 0 This Week
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  • 15
    XISMuS

    XISMuS

    X-Ray Imaging Software for Multiple Samples

    ATTENTION: Cumulative update 2.5.0 has been released!! The update works for any previous 2.x.x version. If upgrading from version v1.x.x, please download and install v2.0.0 first. IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could...
    Downloads: 0 This Week
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  • 16
    StreamAlert

    StreamAlert

    StreamAlert is a serverless, realtime data analysis framework

    ...Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. ...
    Downloads: 0 This Week
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  • 17
    Jupyter Dock

    Jupyter Dock

    Perform molecular docking protocols interactively

    ...Nonetheless, there is a dearth of docking tools in Python for all of the steps and protocols (i.e. pocket search for blind docking). Furthermore, the majority of well-known and widely used molecular docking software have been developed as stand-alone executables or as components of software suites.
    Downloads: 3 This Week
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  • 18

    pydatascope

    Software oscilloscope using Python and tkinter

    Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually.
    Downloads: 0 This Week
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  • 19
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)...
    Downloads: 0 This Week
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  • 20

    Open Grid Analysis and Display System

    OpenGrADS provides extensions and interfaces for GrADS.

    The Grid Analysis and Display System (GrADS) is an interactive desktop tool for easy access, manipulation, and visualization of earth science data. The OpenGrADS Project seeks to develop advanced interfaces and extensions based on the main GrADS engine.
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    Downloads: 324 This Week
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  • 21
    TransPose

    TransPose

    PyTorch Implementation for "TransPose, Keypoint localization

    TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on.
    Downloads: 3 This Week
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  • 22
    Data Science Notes

    Data Science Notes

    Curated collection of data science learning materials

    Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. Because it aggregates...
    Downloads: 0 This Week
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  • 23
    Learn Julia the Hard Way

    Learn Julia the Hard Way

    Learn Julia the hard way

    ...Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapidly prototype, and then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty.
    Downloads: 0 This Week
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  • 24

    ccplot

    CloudSat and CALIPSO plotting tool

    ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products.
    Downloads: 1 This Week
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  • 25
    pycoQC

    pycoQC

    pycoQC computes metrics and generates Interactive QC plots

    ...The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices and basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported.
    Downloads: 0 This Week
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