NumPy for Numerical Computation

——   Created by Kelvin Fosu

Numerical Computing for AnyBody

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Course
11
Lessons
1h 31m
Lesson time
all
Skill levels

More about this course

Learn numerical python to gaining practical knowledge in how the NumPy package is used in scientific computing.

NumPy is used by Data Scientists, used in the fields of machine learning, used in data visualization, used in data evaluation, and the likes with its high-level syntax.

In this course, we would learn lots of different methods used in scientific computing, exploring the Numpy package with lots of exercises including handling or fixing some of the errors we might encounter, slicing, reshaping, converting a list to a NumPy array for fast processing.

The course assumes you already have python3, Anaconda already installed and you're comfortable using Jupyter notebook. Also, some background understanding of python basics is okay.

You'll have free -downloadable access to the course activities/ exercise from the first section of the course module. The jupyter notebook exercise file has been well commented on so you understand what we are trying to achieve with each line of code.

This should help you practice on your own while watching the video.

Also, more sessions will be added as they are being edited.

*Python 3* is the version of python used in the lectures and Jupyter notebook is the IDE used in programming for the course.

It should be noted that python and anaconda installations and downloads and setting up anacoda and python is not taught in this course.

11 Lessons

12 mins
Introduction
free preview
10 mins
Dimensions and operators exercise
free preview
3 mins
Byte, type and size
6 mins
Arrange argument
14 mins
Shape and reshaping
16 mins
Slicing
5 mins
Sum, max, min and linspace
12 mins
Random and choice methods
7 mins
Axes, rows and columns
6 mins
Addition, square root, standard deviation, etc
6 mins
Stacking

About the instructor

Kelvin Fosu
Kelvin Fosu
  • 16 students
  • 10 courses

Overarching goal; People, Planet over Profit. I enjoy humanitarian activities and love to get involved in philanthropic projects. I believe that Arts, Science and Technology …

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Class benefits

  • Certificate of Completion
  • 30 day satisfaction guarantee
  • 24/7 streaming access
  • Direct teacher access
  • 1h 31m of on-demand video
  • 1 downloadable file
  • 3 peers to work with