|

numpy: Introduction to numpy

ByKonrad Hafen

Requirements:

  • Python version 2.7 or greater
  • Beginner skills with python
  • Desire to learn numpy

Objectives:

  1. Teach the basics of using numpy in python
  2. Provide data science applications of numpy
  3. Introduce advanced numpy concepts

What is numpy?

numpy is a powerful python package for handling arrays. It uses C libraries to optimize procedures that would otherwise be slow/computationally expensive in python.

What can I do with numpy?

The possibilities are almost endless. Arrays are used in many applications from photography to economic analysis. Data objects that are composed of multiple values, arrays will be used, and numpy is the python standard for working with arrays.

Personally, I use numpy most for spatial data analysis. I do a lot of work with spatial raster datasets and spatially referenced aerial photographs. numpy is the basic package I use for manipulating these datasets and doing many different analyses.

Find out more

For full details on the numpy package visit the documentation website.

Similar Posts

Setup Anaconda (Python) to Work With Visual Studio Code on Windows

Setup Anaconda (Python) to Work With Visual Studio Code on Windows

ByKonrad Hafen

Visual Studio Code and Anaconda are powerful tools for Python developers. However, if you are trying to use Anaconda and Visual Studio Code together there is a good chance you have run into some problems. As common as these tools are for programming with Python, it can be difficult to figure out how to get…

Read and Plot NetCDF Data in Python with xarray and rioxarray
| |

Read and Plot NetCDF Data in Python with xarray and rioxarray

ByKonrad Hafen

Recently, I’ve started using rioxarray to read NetCDF data into xarray format. If you’re not familiar with the xarray python package it’s basically a wrapper (for lack of a better term) around numpy arrays that allows metadata to be included with the arrays (more on this later with an example).

5 Easy Ways to Iterate Through a Python List or Tuple

5 Easy Ways to Iterate Through a Python List or Tuple

ByKonrad Hafen

With Python, there is a multitude of methods to iterate through lists and tuples. Some of these methods can be complicated. If you’re just learning about iteration in Python, you’ll be best served by learning the easier, more common interaction methods that can be applied to almost any situation. Here, I present 5 easy methods to iterate through Python lists and tuples.

GDAL Python Tutorial: Reading and Writing Raster Datasets
| |

GDAL Python Tutorial: Reading and Writing Raster Datasets

ByKonrad Hafen

The Geospatial Data Abstraction Library (GDAL) is the standard for managing spatial data formats. GDAL has been incorporated into many different enterprise and open source GIS projects. Because GDAL is open source, it can be used by all. Learning to use GDAL with Python can help you automate workflows and implement custom raster processing solutions….

|

PyQGIS: Shapefile from Selected Features

ByKonrad Hafen

A common operation with vector layers is to select features based on attribute values and save those features to a new vector layer (i.e. shapefile). This tutorial will walk you through how to create a new shapefile from selected features. We’ll select some features, then save those features to a new shapefile. First, we’ll open…