1,099 skills found · Page 5 of 37
Andrew-S-Rosen / Periodic TrendsPython script to plot periodic trends as a heat map over the periodic table of elements
maximilianh / CellBrowsermain repo: https://github.com/ucscGenomeBrowser/cellBrowser/ - Python pipeline and Javascript scatter plot library for single-cell datasets, http://cellbrowser.rtfd.org
tdhopper / Pythonplot.com📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.
kawache / Python B Spline ExamplesExamples in Python about plotting and interpolating a B-spline curve and their comparison using Numpy, Scipy and Matplotlib.
andrew-hossack / Dash ToolsDashTools - Plotly Dash Command Line Tools - Create, Run and Deploy Templated Python Apps from Terminal
breuderink / EegtoolsCollection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.
pmaji / Practical Python Data Viz GuideResources for teaching & learning practical data visualization with python.
mabl / PyRigolWFMPython based parser for RIGOL WFM oscilloscope traces. Includes an example program to export to CSV and plotting.
makerportal / PylivePython Plotter for Real-Time Data Visualization
PlotPyStack / PythonQwtQt plotting widgets for Python (pure Python reimplementation of Qwt C++ library)
nalepae / Bounding BoxBounding Box is a library to plot pretty bounding boxes with a simple Python API.
vanallenlab / ComutCoMut is a Python library for visualizing genomic and phenotypic information via comutation plots
plotly / RaspberrypiRealtime Streaming with the Raspberry Pi and Plot.ly Python Library
maitree7 / Fraud Detection SQLFraud Detection on credit card transations
zhangyaqi1989 / Gcode ReaderA Python library that can read, analysis, plot G-code files used in Additive Manufacturing (AM).
yonycherkos / Applied Data Science With Python SpecializationThe 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
tcassou / MapsplotlibCustom Python plots on a Google Maps background. A flexible matplotlib like interface to generate many types of plots on top of Google Maps.
cpmech / PlotpyRust plotting library using Python (Matplotlib)
shubhamjha97 / Hierarchical ClusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
iannesbitt / Readgssipython tool to read and plot Geophysical Survey Systems Incorporated (GSSI) radar data
