777 skills found · Page 18 of 26
MNoichl / PylabeladjustA small python port of Gephi's Label-Adjust algorithm. Makes labels in matplotlib-plots, or more generally, rectangles, not overlap.
ljbkusters / Mpl Waterfall PlotCode to generate a 2D Matlab-like waterfall plot in python using Matplotlib. Not to be confused with a waterfall-chart.
minas26902 / NewsSentimentAnalysisIn this exercise I utilized Python libraries - pandas, numpy, matplotlib.pyplot, tweepy, seaborn, datetime, VADER - JSON traversals, and Twitter's API to perform a sentiment analysis on the news mood based on tweets from five different news organizations - BBC, CBS, CNN, Fox News, and New York times.
Juby-elsa / Enrollment Trends 2011 2012A data visualization project analyzing 2011–2012 student enrollment across Indian districts. Focuses on caste, gender, minority, and PWD distribution using simple plots like bar, pie, box, and heatmap. Built with Python, Pandas, Matplotlib, and Seaborn.
kumariroshani-890 / INT375 PROJECT PUBLIC LIBRARYAnalyzed public library data using Python to explore how population affects library usage, funding patterns, and resource distribution across countries. Visualized insights using Pandas, Matplotlib, and Seaborn to uncover trends and disparities in public library systems.
1Aditya7 / Seismic Data VisualisationsThis project explores advanced seismic data visualization techniques using Python. It leverages libraries like Mayavi and Matplotlib for interactive 3D rendering, attribute mapping, well log integration, structural interpretation, geobody modeling, seismic inversion, AVO/AVA analysis, time-lapse seismic, and geostatistical analysis.
deepshika1211 / Advancement Donations Data Handling🎓📊 Data-Driven Insights into Advancement & Donations 📈💡 I recently worked on a data analysis project using Python to explore patterns in advancement, giving, and donation behavior. Leveraging libraries like pandas, matplotlib, and seaborn, I visualized key insights to better understand donor trends and institutional support.
ernestcr / ECR Pattern Recognition For Forex TradingMachine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).
E-Conners-Lab / Python Crash Course ProjectPython Crash Course projects — data viz (Matplotlib/Plotly), random walks, dice sims, pytest
PacktPublishing / Data Visualization Recipes With Python And Matplotlib 3No description available
kanishkegb / Pyplot 3dA Python class for drawing a 3D objects using Python Matplotlib library.
brandones / N BodyPython to produce n-body simulations in 3D using matplotlib
tonygeorge1984 / Python Sars Cov 2 Mutation AnalysisAnalysis of Sars Cov-2 Gene Mutations using Python Numpy and Matplotlib
igorol / Fibonacci SpiralPython script to plot Fibonacci spiral using Matplotlib
johannasantos / Datascience Exercisesdata science exercises using python, matplotlib and pandas
Workearly / Final AssignmentThis project is designed to simulate a full workflow of a Data Analyst from getting data off the Database to manipulate it with the use of Python and Pandas module to present it through matplotlib module or Tableau.
ieferreira / DigitalPetrographyA repository where I upload code that I use for thin section (petrography) analysis using python (matplotlib, opencv, sklearn., tensorflow...)
Miraclelucy / Python Handbook✔️python基础、numpy基础、pandas基础、matplotlib基础系列
lukebarousse / TRIC Survey AnalysisData analysis of a facebook group using python (pandas, seaborn, matplotlib).
gardenia22 / PsnifferA GUI sniffer wrritten by Python using wxPython, winpcapy and matplotlib.
