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Conda and pip are package managers typically perceived as synonymous, helping Devs to run commands.
Category - Python Tools
With Matplotlib, users can customize and control every plot aspect, including the colors, markers, labels, and legends.
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NumPy is a Python library that supports huge, multi-dimensional arrays and matrices and high-level mathematical functions that operate on these arrays.
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Pandas is a Python-created software library that assists in data analysis and manipulation.
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With pip, users can easily install, upgrade, remove packages, and manage dependencies, making it a valuable tool for Devs and data scientists.
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Plotly provides various chart types, including line charts, scatter plots, bar charts, pie charts, histograms, and more.
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Pyenv is a simple Python version management tool that allows users to install multiple Python versions.
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PySpark is a Python library that provides an interface to Apache Spark, a powerful computing framework for processing large-scale data.
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SciPy is an open-source Python package used for scientific and engineering computing.
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