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Hands-on Data Analysis and Visualization with Pandas

By: Material type: TextTextLanguage: English Publication details: New Delhi : BPB Publications, 2020Description: 296ISBN:
  • 9789389845648
Subject(s): DDC classification:
  • 005.133 (PYT) KAT
Summary: The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn. This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights. You will go through the statistics to understand the relation between the variables using SciPy and building visualization charts using Matplotllib and Seaborn libraries. What will you learn ● Learn about Python data containers, their methods, and attributes. ● Learn Numpy arrays for the computation of numerical data. ● Learn Pandas data structures, DataFrames, and Series. ● Learn statistics measures of central tendency, central limit theorem, confidence intervals, and hypothesis testing.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) KAT (Browse shelf(Opens below)) Available E11825
Book Book Alliance College of Engineering and Design CSE & IT 005.133 (PYT) KAT (Browse shelf(Opens below)) Available E11824
Book Book Alliance School of Liberal Arts CSE & IT 005.133 (PYT) KAT (Browse shelf(Opens below)) Available LA01375
Total holds: 0

The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn.

This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights. You will go through the statistics to understand the relation between the variables using SciPy and building visualization charts using Matplotllib and Seaborn libraries.

What will you learn
● Learn about Python data containers, their methods, and attributes.
● Learn Numpy arrays for the computation of numerical data.
● Learn Pandas data structures, DataFrames, and Series.
● Learn statistics measures of central tendency, central limit theorem, confidence intervals, and hypothesis testing.

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