Python-and-Data-Science-notebooks

Notebook	Description
Python 3	Topics covered: Comments, basic arithmetic, variable assignment, boolean, string, complex number, list, dictionary, tuple, set, loops, functions, OOPS, exception handling, modules & packages, lambda function, filter function, map function, reduce function, zip function, enumerate function, decorators, generators, collections, datetime, pdb debugger, timeit module, regular expression, file handling and StringIO
Numpy
Pandas
MatplotLib
Seaborn
Plotly and Cufflinks
Pandas built-in data visualization
linear regression

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
datasets		datasets
MatplotLib.ipynb		MatplotLib.ipynb
Numpy.ipynb		Numpy.ipynb
Pandas.ipynb		Pandas.ipynb
Plotly_and_Cufflinks.ipynb		Plotly_and_Cufflinks.ipynb
Python3.ipynb		Python3.ipynb
README.md		README.md
Seaborn.ipynb		Seaborn.ipynb
linear_regression.ipynb		linear_regression.ipynb
pandas_built_in_data_visualization.ipynb		pandas_built_in_data_visualization.ipynb

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