Plots.jl
Pandas
Plots.jl | Pandas | |
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4 | 400 | |
1,811 | 42,339 | |
1.0% | 0.8% | |
8.4 | 10.0 | |
19 days ago | 7 days ago | |
Julia | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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Plots.jl
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Animating plots using only PlotlyJS ?
Have a look at the source: https://github.com/JuliaPlots/Plots.jl/blob/master/src/animation.jl It shouldn't be too hard to write something specifically for PlotlyJS yourself.
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I really want to plot specific level(s) for my contour lines, but the contour function of Plots.jl doesn't accept a vector (or tuple) input of integers even when the documentation says that it can. Please Help.
Ahh, ok. It looks like it's a known issue with the PlotlyJS backend to Plots: https://github.com/JuliaPlots/Plots.jl/issues/3356. Something to do with Plotly being unable to render arbitrary contour levels it seems.
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Should you learn Julia or Python for Machine Learning?
We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.
Pandas
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Awesome List
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation.
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The ultimate guide to creating a secure Python package
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:
- The Birth of Parquet
- PDEP-13: The Pandas Logical Type System
- PHP Doesn't Suck Anymore
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
What are some alternatives?
matplotlib - matplotlib: plotting with Python
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Gnuplot.jl - Julia interface to gnuplot
tensorflow - An Open Source Machine Learning Framework for Everyone
Luxor.jl - Simple drawings using vector graphics; Cairo "for tourists!"
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
JLD2.jl - HDF5-compatible file format in pure Julia
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
DataFrames.jl - In-memory tabular data in Julia
Keras - Deep Learning for humans
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration