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Numpy\n\n```\nimport numpy as np\n```\n\n## Python for Data Analysis - Pandas\n\n## Python for Data Visualization - Matplotlib\n\n## Python for Data Visualization - Seaborn\n* [Distribution Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-48%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Distribution%20Plots.ipynb) - distplot, jointplot, pairplot and rugplot\n\n* [Categorical Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-49%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Categorical%20Plots.ipynb) - barplot, countplot, boxplot, violinplot, stripplot, swarmplot and factorplot\n\n* [Matrix Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-50%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Matrix%20Plots.ipynb) - 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