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Mastering pandas

Mastering pandas

By : Kumar
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Mastering pandas

Mastering pandas

By: Kumar

Overview of this book

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.
Table of Contents (21 chapters)
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Section 1: Overview of Data Analysis and pandas
4
Section 2: Data Structures and I/O in pandas
7
Section 3: Mastering Different Data Operations in pandas
12
Section 4: Going a Step Beyond with pandas

Review of items installed with Anaconda

Anaconda installs more than 200 packages and several IDEs. Some of the widely used packages that get installed are: NumPy, pandas, scipy, scikit-learn, matplotlib, seaborn, beautifulsoup4, nltk, and dask.

Packages, which are not installed along with Anaconda, could be installed manually through Conda, Anaconda's package manager. Any package upgradation can also be done through Conda. Conda will fetch the packages from the Anaconda repository, which is huge and has more than 1400 packages. The following commands will install and update packages through conda:

  • To install, use conda install pandas
  • To update, use conda update pandas

The following IDEs are installed with Anaconda:

  • JupyterLab
  • Jupyter Notebook
  • QTConsole
  • Spyder

The IDEs could be launched either through Conda or Anaconda Navigator.

Anaconda Navigator is a GUI that lets...

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