Python. ffn is a library that contains many useful functions for those who work in quantitative finance. It stands on the shoulders of giants (Pandas, Numpy, Scipy, etc.) and provides a vast array of utilities, from performance measurement and evaluation to graphing and common data ...
Plotly (🥇46 · ⭐ 17K) - The interactive graphing library for Python. MIT GitHub (👨💻 280 · 🔀 2.6K · 📥 120 · 📦 390K · 📋 3.2K - 20% open · ⏱️ 28.03.2025): git clone https://github.com/plotly/plotly.py PyPi (📥 22M / month · 📦 7.8K...
Plotly is an open-source and browser-based python graphing libraryfor creating charts.It can be called an advanced chart gallery since it is built on the top of the d3.js libraries. Plotly Pros: Publication-quality image export Fully interactive (hover, zoom, pan) It can be installed on...
and versatility are paramount. If you’re working with Django, Flask, or any other major Python library, Sentry effortlessly blends into your workflow. For developers seeking a lightweight yet robust monitoring solution that seamlessly identifies and logs errors, Sentry fits the bill. We’ve dived...
13.Data Visualization on the Browser with Python and Bokeh (Udemy) Bokeh is a new interactive visualization library for modern web browsers. This Python library is gaining a lot of traction in the field of Data Science for its ability to quickly and easily create versatile graphics like interact...
and performing simulations. It is an object-oriented program and library used by thousands of physicists around the world. ROOT provides a lot of features to its users. This powerful tool is written in the C++ programming language. Also, it is integrated with Python and R. You can get the...
Plotly (🥇42 · ⭐ 14K · 📈) - The interactive graphing library for Python This project now includes.. MIT GitHub (👨💻 240 · 🔀 2.4K · 📋 2.7K - 50% open · ⏱️ 25.07.2023): git clone https://github.com/plotly/plotly.py PyPi (📥 10M / month · ...
science and machine learning scripts into interactive apps. It supports Python’s fundamental plotting libraries such as Seaborn, Pyplot, Matplotlib, GraphViz, Plotly, etc. Apart from this, Streamlit also has its native graphing library that consists of bar charts, area charts, line charts, and ...
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Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python’s Matplotlib library Use Apache Spark’s MLlib package to perform machine learning on large datasetsOpen...