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A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)
Overview
x1b is code for colorize outputs,
Attractors is a package for simulation and visualization of strange attractors.
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Flow-based visual scripting for Python
A simple visual node editor for Python Ryven combines flow-based visual scripting with Python. It gives you absolute freedom for your nodes and a simp
This repository contains a streaming Dataflow pipeline written in Python with Apache Beam, reading data from PubSub.
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A python script to visualise explain plans as a graph using graphviz
README Needs to be improved Prerequisites Need to have graphiz installed on the machine. Refer to https://graphviz.readthedocs.io/en/stable/manual.htm
股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口
股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集,系统包括新浪腾讯双数据核心采集获取,自动故障切换,STOCK数据格式成DataFrame格式,可用来查询研究量化分析,股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量,更加专注于策略和模型的研究与实现。
Visualize your pandas data with one-line code
PandasEcharts 简介 基于pandas和pyecharts的可视化工具 安装 pip 安装 $ pip install pandasecharts 源码安装 $ git clone https://github.com/gamersover/pandasecharts $ cd pand
Example Code Notebooks for Data Visualization in Python
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A command line tool for visualizing CSV/spreadsheet-like data
PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by
Compute and visualise incidence (reworking of the original incidence package)
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A Python-based non-fungible token (NFT) generator built using Samilla and Matplotlib
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paintable GitHub contribute table
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🗾 Streamlit Component for rendering kepler.gl maps
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https://there.oughta.be/a/macro-keyboard
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A blender import/export system for Defold
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A deceptively simple plotting library for Streamlit
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Write python locally, execute SQL in your data warehouse
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Personal IMDB Graphs with Bokeh
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Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly
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Info for The Great DataTas plot-a-thon
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mysql relation charts
sqlcharts 自动生成数据库关联关系图 复制settings.py.example 重命名为settings.py 将数据库配置信息填入settings.DATABASE,目前支持mysql和postgresql 执行 python build.py -b,-b是读取数据库表结构,如果只更新匹
