Search Results for "python script 2.1.0"
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Showing 19 open source projects for "python script 2.1.0"
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Apache Airflow Provider
Great Expectations Airflow operator
Due to apply_default decorator removal, this version of the provider requires Airflow 2.1.0+. If your Airflow version is 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the... -
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marimo
A reactive notebook for Python
marimo is an open-source reactive notebook for Python, reproducible, git-friendly, executable as a script, and shareable as an app. marimo notebooks are reproducible, extremely interactive, designed for collaboration (git-friendly!), deployable as scripts or apps, and fit for modern Pythonista. Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing the notebook state. marimo's reactive UI elements, like data frame GUIs and plots, make working with data feel refreshingly fast, futuristic, and intuitive. ... -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and... -
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Positron
Positron, a next-generation data science IDE
...The IDE supports notebook and script workflows, integration of data-app frameworks (such as Shiny, Streamlit, Dash), database and cloud connections, and built-in AI-assisted capabilities to help write code, explore data, and build models. -
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D-Tale
Visualizer for pandas data structures
D-Tale is the combination of a Flask backend and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently, this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's insight function is now a lightweight web client on top of Pandas data structures. To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. ... -
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Population Shift Monitoring
Monitor the stability of a Pandas or Spark dataframe
popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets. popmon creates histograms of features binned in time-slices, and compares the stability of the profiles and distributions of those histograms using statistical tests, both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher-dimensional, e.g. it can also track correlations between any two... -
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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing models
...Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET. -
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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. -
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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. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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SageMaker Containers
Create SageMaker-compatible Docker containers
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to... -
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paralline
Big Data tool
Paralline executes a python function (or lambda function) or a script over each line of huge text files, in parallel processes and aggregates the result to a list. -
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pyEBSD-GUI
A free software to post-process EBSD data.
pyEBSD-GUI is a free software to post-process Electron Backscatter Diffraction (EBSD) data, inducing IPF mapping, image quality mapping, phase mapping etc, plotting pole figure, data segmentation, statistic analysis of the misorientation distribution etc. The software is written by python, and it supports both script and graphic user interface (GUI). pyEBSD V1.0 will be released soon. -
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SPIW - Scanning Probe Image Wizard
Scanning Probe Image Wizard - MATLAB Toolbox
...SPIEPy brings many SPIW algorithms to the Python user. -
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ipcvis
Visualize Inter Process Communication
Small python script that can visualize Inter Process Communication on Linux. It can create a graph of TCP and Unix sockets, pipes and also process hierarchy. Short (59 sec) demo visualizing ssh client connecting to ssh server on the same Ubuntu host: http://youtu.be/8XFKwzkexQY Longer (2 min 13 sec) demo visualizing ZoneMinder surveillance solution operation (stopping, starting, enabling and viewing camera): http://youtu.be/kM7klE61Ibk Tested on Ubuntu 14.10 and Debian 7. ... -
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CSV*Loader for Oracle
Simplified CSV turbo loader to Oracle
Tired of writing control files? No problem! CSV*Loader will generate control file for SQL*Loader. Too slow? No problem! CSV*Loader turbo mode may load it 10x faster to your Oracle database than your good old Perl::DBI script. -
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The VRML97-Import-Script is a Python-Script, that extends the capabilities of Blender to import VRML97-Files. It supports Blender since version 2.42.
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A python package which aids in the analysis of ViEWER (http://www.webpages.uidaho.edu/~bdyre/viewer.htm) epoch logs. A wxPython GUI helps the user build a python script which uses the package to perform timeseries and spectral analyses.
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fEPSP-analiser
python script for electrophysiology data analysis
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A basic simulation of aircraft emergency evacuation developed in CELL-DEVS using the CD++ Toolkit. A python script was then adapted to visualize this project in Blender. Code on SVN only at this time.
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