Unpacking NumPy and Pandas [Video]

More Information
Learn
  • How to read, sort, and map various data into NumPy and Pandas
  • How to create and slice data arrays using NumPy
  • How to subset your data frames using Pandas
  • How to handle missing data in a Pandas DataFrame
  • How to interface your Python data analysis with R language packages
About

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.

In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you’ll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python’s NumPy package, Python’s powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python’s Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You’ll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation.

Style and Approach

This video course is a step-by-step approach that will take you through the different concepts and features of Data Analysis using Python libraries and tools.

Features
  • Kick start your journey as a data analyst by diving into the necessary tools for data analysis
  • Real-world, practical examples that wrap your head around the essential know-how
  • Covers important concepts such as hierarchical indexing and grouping for sophisticated data analysis and manipulation
Course Length 2 hours 18 minutes
ISBN 9781787121195
Date Of Publication 28 Jun 2017

Authors

Curtis Miller

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.