Python Data Analysis with NumPy and pandas Training

Answers to Popular Questions:

 
Yes, this class can be tailored to meet your specific training needs.
Yes, we provide Python consulting services.
Yes, group discounts are provided.

Course Description

 
This course is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Learn to use NumPy to work with arrays and matrices of numbers. Learn to work with pandas to analyze data. Learn to work with matplotlib from within pandas.
Course Length: 2 Days
Course Tuition: $790 (US)

Prerequisites

Experienced Python developers.

Course Outline

 
NumPy
One-dimensional Arrays
Multi-dimensional Arrays
Getting Basic Information about an Array
NumPy Arrays Compared to Python Lists
Universal Functions
Modifying Parts of an Array
Adding a Row Vector to All Rows
Random Sampling
 
pandas
Series and DataFrames
Accessing Elements from a Series
Series Alignment
Comparing One Series with Another
Element-wise Operations
Creating a DataFrame from NumPy Array
Creating a DataFrame from Series
Creating a DataFrame from a CSVl
Getting Columns and Rows
Cleaning Data
Combining Row and Column Selection
Scalar Data: at[] and iat[]
Boolean Selection
Plotting with matplotlib

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