Python SciPy: The Open Source Python Library

Overview

SciPy refers to an open source Python library that is used for scientific and technical computing. SciPy uses NumPy for more mathematical functions and includes modules for common tasks such as linear algebra, integration, equation solving, signal processing and optimization in science and engineering. SciPy uses NumPy arrays as its basic data structure and is a part of the NumPy stack. SciPy incorporates other routines essential to science such as routines for computing integrals numerically, optimization and sparse matrices. The SciPy library is currently sold under the BSD license and it is maintained and by an open community of developers.

SciPy is regarded as one of the main libraries used in Python. Mastering the features of SciPy would help improve your chances of kick starting a rewarding career in IT or programming field. It would also help you build on your existing expertise in programming. This Python SciPy: The Open Source Python Library course will walk you through how to create and execute complex computational computing functions. The course starts with an explanation of what SciPy isnd how to install it. From there, you will be trained on how to address simple and complex mathematical computations.  You will also be taught on topics such as double integrals, statistics, and linear algebra through this course. 

Course Curriculum

1: Module Introduction

2: Basic Computations

3: Complex functions

4: Integrals

5: Double Integrals

6: Statistics

7: Project (Linear Algebra)

8: Module Summary

Learning outcomes

• Understand what SciPy is, what it is used for and how to install it.
• Gain an insight into how to address simple and complex mathematical computations.
• Learn how to create and execute complex computational computing functions.
• Get an understanding of the topics such as double integrals, statistics, and linear algebra.  

Access duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Who is this course aimed at?

• IT students
• Job seekers
• IT professionals 

Method of assessment

At the end of the course, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Certification and awarding body

Those who successfully complete the course will be awarded the Python sciPy: The open source Python library certificate by CPD & iAP. The qualification will make you valuable to employers, and your motivation at gaining new skills will be recognised.

Tutor info

Brett Romero is a software engineer and entrepreneur. He has started several businesses, including Bitesize Business School, where he writes about applying business principles to the real world and solving technology issues that every online business faces. His first business, Cygen, was a web design consulting business, from which he also created his first product – a JavaScript-based chatroom web application.

Brett has written desktop applications in languages running from Delphi to C# winforms/WPF, as well as built ASP.NET webforms and MVC based applications. When the iOS SDK was first introduced, he bought a Macbook and began building apps for the iPhone. He currently has seven apps in the iTunes App Store.

Brett holds an MBA from ASU (’14). His undergraduate major was in mathematics. Before graduating, he decided to get a business degree. He continued taking mathematics courses at the University of Washington after completing his undergraduate degree. 

Other benefits

• Written and designed by the industry’s finest expert instructors with over 15 years of experience
• Repeat and rewind all your lectures and enjoy a personalised learning experience
• Gain access to quality video tutorials
• Unlimited 12 months access from anywhere, anytime
• Save time and money on travel
• Learn at your convenience and leisure
• Eligible for a NUS discount card
• Free Career Support Service
• 25% Discount on personal Statement and covering letter writing service
• Free Access to Over 150 courses for 2 days (48 hours)
• Free access to course before you purchase (For selected courses only)