Book Image

Hands-On Data Analysis with NumPy and Pandas

By : Curtis Miller
5 (1)
Book Image

Hands-On Data Analysis with NumPy and Pandas

5 (1)
By: Curtis Miller

Overview of this book

Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them. By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
Table of Contents (12 chapters)

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Pandas Cookbook Theodore Petrou

ISBN: 978-1-78439-387-8

  • Master the fundamentals of pandas to quickly begin exploring any dataset
  • Isolate any subset of data by properly selecting and querying the data
  • Split data into independent groups before applying aggregations and transformations to each group
  • Restructure data into tidy form to make data analysis and visualization easier
  • Prepare real-world messy datasets for machine learning
  • Combine and merge data from different sources through pandas SQL-like operations
  • Utilize pandas unparalleled time series functionality
  • Create beautiful and insightful visualizations through pandas direct hooks to matplotlib and seaborn

Hands-On Data Science with Anaconda Dr. Yuxing Yan, James Yan

ISBN: 978-1-78883-119-2

  • Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda
  • Use the package manager conda and discover, install, and use functionally efficient and scalable packages
  • Get comfortable with heterogeneous data exploration using multiple languages within a project
  • Perform distributed computing and use Anaconda Accelerate to optimize computational powers
  • Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud
  • Tackle advanced data prediction problems