Getting Started with NumPy from Pluralsight

NumPy is a powerful python library that provides N-dimensional arrays and functions to perform scientific computing. In this course, you’ll learn the basics of NumPy, its data types and attributes, and NumPy array creation in different scenarios.

NumPy, which is short for Numerical Python, is a very crucial library of Python when working in the field of data science.

In this course, Getting Started with NumPy, you'll learn everything about NumPy and the N-dimensional array (ndarray).

First, you'll start by understanding what NumPy is and do an in-depth study on its history, purpose, usage, advantages, etc.

Next, you'll see how to install the NumPy library into your system.

Then, you'll take a look into ndarray and study its attributes and some basic but important functions.

Finally, you'll dive into creating NumPy arrays in different ways, like creating an empty array, an array with a specified range, or an array from existing data, depending upon your requirements.

When you’re finished with this course, you'll have a good understanding of NumPy and ndarray with the skills to create and maintain ndarray in various scenarios, and will be ready to move on to the next step where you can perform complex scientific computations using NumPy functions or use ndarray as an input in other Python libraries.

What's inside

Syllabus

Course Overview

Introduction to NumPy

Setting up a Work Environment for NumPy

Understanding the Ndarray Object

Creating Ndarrays

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores NumPy, which is standard in industry scientific computing

Teaches NumPy, which helps learners perform efficient scientific computing operations

Examines NumPy arrays, which are core to scientific computing in Python

Develops skills in creating NumPy arrays in various ways, which is a fundamental skill for scientific computing

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with NumPy with these activities:

Review NumPy fundamentals

Show steps

Refresh your understanding of NumPy's data types, attributes, and basic functions to ensure a strong foundation for the course.

Browse courses on NumPy

Show steps

Revisit the NumPy documentation for refresher
Complete practice exercises on creating and manipulating arrays

Explore NumPy documentation and tutorials

Show steps

Deepen your understanding of NumPy's capabilities by exploring its official documentation and external tutorials.

Browse courses on NumPy

Show steps

Review the NumPy User Guide for comprehensive information
Find beginner-friendly tutorials on creating and manipulating Ndarrays
Experiment with code examples to reinforce your learning

Attend NumPy conferences and meetups

Show steps

Expand your knowledge and network by participating in NumPy-related events.

Browse courses on NumPy

Show steps

Identify upcoming NumPy conferences or meetups in your area or online
Attend sessions led by industry experts and researchers
Network with other attendees to exchange ideas and learn about their experiences

Four other activities

Expand to see all activities and additional details

Show all seven activities

Solve NumPy coding challenges

Show steps

Challenge yourself with coding exercises to refine your skills in creating, manipulating, and analyzing Ndarrays.

Browse courses on NumPy

Show steps

Identify online coding platforms or repositories with NumPy challenges
Attempt to solve challenges independently
Review solutions and discuss approaches with peers or mentors

Seek guidance from NumPy experts

Show steps

Enhance your learning journey by seeking mentorship from experienced NumPy users or developers.

Browse courses on NumPy

Show steps

Identify potential mentors through online platforms or professional networks
Reach out to mentors and express your interest in guidance
Schedule regular meetings to discuss your progress and receive feedback

Create a NumPy project

Show steps

Apply your NumPy skills by developing a project that showcases your ability to solve a real-world problem or create a tool.

Browse courses on NumPy

Show steps

Identify a problem or need that can be addressed with NumPy
Design and implement a solution using NumPy functions and arrays
Test and refine your project to ensure accuracy and efficiency
Present your project to peers or mentors for feedback and evaluation

Contribute to NumPy community

Show steps

Reinforce your understanding of NumPy by actively participating in the open-source community.

Browse courses on NumPy

Show steps

Review NumPy's GitHub repository to identify areas for contribution
Submit bug reports or feature requests to improve the library
Collaborate on code improvements or documentation updates

Career center

Learners who complete Getting Started with NumPy will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. NumPy is essential for Quantitative Analysts because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. NumPy is essential for Machine Learning Engineers because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. NumPy is essential for data analysis because it provides tools for manipulating and processing large datasets. This course will help you build a strong foundation in NumPy, which will be essential for success as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to build models and make predictions. NumPy is an essential tool for Data Scientists because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Financial Analyst

Financial Analysts use financial data to make investment decisions. NumPy is essential for Financial Analysts because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve business problems. NumPy is essential for Operations Research Analysts because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, and interpret data. NumPy is essential for Statisticians because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Statistician.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software systems. NumPy is essential for Software Engineers because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines. NumPy is essential for Data Engineers because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Data Engineer.

See salaries and explore the career path for Data Engineer

Actuary

Actuaries use mathematical and statistical models to assess risk. NumPy is essential for Actuaries because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as an Actuary.

See salaries and explore the career path for Actuary

Data Visualization Specialist

Data Visualization Specialists create visual representations of data. NumPy is essential for Data Visualization Specialists because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Business Analyst

Business Analysts use data to help businesses make informed decisions. NumPy is essential for Business Analysts because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Journalist

Data Journalists use data to tell stories and inform the public. NumPy is essential for Data Journalists because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Data Journalist.

See salaries and explore the career path for Data Journalist

Consultant

Consultants provide advice and guidance to businesses on a variety of topics. NumPy is essential for Consultants because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Consultant.

See salaries and explore the career path for Consultant

Market Researcher

Market Researchers collect and analyze data about consumer behavior. NumPy is essential for Market Researchers because it provides tools for working with large datasets and performing complex calculations. This course will help you build a strong foundation in NumPy, which will be essential for success as a Market Researcher.

See salaries and explore the career path for Market Researcher