Hands-on Data Analysis and Visualization with Pandas: Engineer, Analyse and Visualize Data, Using Powerful Python Libraries

Learn how to use JupyterLab, Numpy, pandas, Scipy, Matplotlib, and Seaborn for Data science

Key Features

• Get familiar with different inbuilt Data structures, Functional programming, and Datetime objects.
• Handling heavy Datasets to optimize the data types for memory management, reading files in chunks, dask, and modin pandas.
• Time-series analysis to find trends, seasonality, and cyclic components.
• Seaborn to build aesthetic plots with high-level interfaces and customized themes.
• Exploratory data analysis with real-time datasets to maximize the insights about data.

Description

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.

About the Author

Purna Chander Rao.Kathula is a Data Science enthusiast, Data Manager, Seasoned Programmer, and a Technical trainer, with around 17+ years of experience in a vast array of languages, including Perl, C, C++, Java, and Python and wide variety set of domains like Insurance, Adtech, Storage, Gaming, Mobility, Big Data, and Analytics. He is a certified Applied Data Science with Python Specialization, from Coursera, University of Michigan. He graduated from the College of Engineering G.I.T.A.M with a degree in Mechanical Engineering. He is a frequent speaker at DataScience and Data Engineering user groups, and he regularly delivers webinars and conducts training on Hadoop, Big data, Data Analysis, and Visualization technologies.

Your Blog links

https://blog.imaginea.com/author/purna-chander-rao-kathula/

https://www.slideshare.net/PurnaChander1

https://www.slideshare.net/sriganesha/hive-and-data-analysis-using-pandas

Your LinkedIn Profile:

https://www.linkedin.com/in/purna-chander-rao-kathula-043852a/