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Data Science in Python is fun to learn and pleasure to do. List of files which are focused on practicing Data Science libraries with Python.

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Getting Started with Data Science using Python

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.

Contents


  • Data Analysis
  • Data Visualizations

Libraries Used

  • NumPy Library of high-level mathematical functions to operate on large, multidimensional arrays and matrices.
  • Pandas Pandas is an open source, BSD-licensed library providing high performance, easy-to-use data structures and data analysis tools.
  • Matplotlib Plotting library for the Python programming language and its numerical mathematics extension NumPy
  • Seaborn Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

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Data Science in Python is fun to learn and pleasure to do. List of files which are focused on practicing Data Science libraries with Python.

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