Python library & how to install

[amh]

1. Pandas
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Installation

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pip install pandas

Verification

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pip show pandas

import

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import pandas

2. Matplotlib
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

installation

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pip install matplotlib

import

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import matplotlib

3. Scikit-learn

Simple and efficient tools for predictive data analysis

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pip install -U scikit-learn

4. Numpy
For viewing and editing two or three dimensional arrays in the Variable Explorer

conda

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# Best practice, use an environment rather than install in the base env
conda create -n my-env
conda activate my-env
# If you want to install from conda-forge
conda config --env --add channels conda-forge
# The actual install command
conda install numpy

pip

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pip install numpy

5. Sympy

SymPy is a Python library for symbolic mathematics

Conda

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conda update sympy

PIP

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pip install sympy

[amh]

6. Tensorflow

Create production-grade machine learning models

install pip

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# For GPU users
pip install tensorflow[and-cuda]
# For CPU users
pip install tensorflow

verify cpu setup

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python3 -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

verify gpu setup

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python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

conda cpu

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conda create -n tf tensorflow
conda activate tf

conda gpu

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conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu

7. Seaborn

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

PIP

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pip install seaborn

Conda

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conda install seaborn