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Python: NumPy

4 Courses
3 Labs
5 Hours
Skill IQ

Welcome to the "Python: NumPy"path, where you'll embark on a comprehensive journey to become a proficient data manipulator using the powerful Python library, NumPy. Whether you're a data scientist, analyst, or Python enthusiast, this path is tailored to help you harness the full potential of NumPy for performing fundamental and advanced operations on arrays efficiently.

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Content in this path
Python: Numpy

Here, you'll lay a solid foundation by learning the basics of NumPy, including how to install it, create arrays, and perform essential array operations such as indexing, slicing, and reshaping. You'll explore the intricate world of array indexing and selection using NumPy. Dive deep into techniques for accessing and extracting specific elements or subsets from arrays, and discover how to manipulate array views efficiently. Learn how to perform element-wise operations, broadcasting, and aggregations on arrays, making complex calculations a breeze.

Course
Getting Started with NumPy
  • by Chris Behrens
  • 53m
  • May 22, 2025
Lab
Getting Started with NumPy Hands-on Practice
  • 22m
  • Sep 10, 2025
Course
Accessing Arrays with NumPy
  • by Karoly Nyisztor
  • 59m
  • Feb 14, 2023
Lab
Accessing Arrays with NumPy Hands-on Practice
  • 30m
  • Sep 19, 2025
Course
Operations on Arrays with NumPy
  • by Biswanath Halder
  • 51m
  • Jul 07, 2025
Lab
Operations on Arrays with NumPy Hands-on Practice
  • 27m
  • Sep 09, 2025
Course
Advanced Operations on Arrays with NumPy
  • by Saravanan Dhandapani
  • 48m
  • Nov 07, 2023
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Chris Behrens
Chris Behrens
Chris B. Behrens is a writer, speaker and software developer, specializing in DevOps. He has been a developer and architect for more than twenty years focusing on small to medium size companies and the development changes they face. He focuses on his flavor of Fear Based Development, whereby a developer ranks their tasks in descending order of anxiety, and how to tackle them in that order. Chief among these anxiety-inducing processes is software deployment, a topic that Behrens focuses upon. He ...
Karoly Nyisztor
Karoly Nyisztor
Hi, I'm Károly Nyisztor, a software engineer turned educator. My goal is to make tech learning fun and accessible. After nearly 20 years in the corporate world, working with big names like Apple and SAP, I decided to switch gears in 2016 and focus on what I love most - teaching. I've had the pleasure of helping over 300,000 students worldwide dive into the exciting world of programming. Whether it's iOS apps, machine learning, or software architecture, my courses cover a wide range of tech top...
Biswanath Halder
Biswanath Halder
Biswanath is a Data Scientist who has around nine years of working experience in companies like Oracle, Microsoft, and Adobe. He has extensive knowledge of Machine Learning, Deep Learning, and Reinforcement Learning. He specializes in applying Machine Learning and Deep Learning techniques in complex business applications related to computer vision and natural language processing. He is also a freelance educator and teaches Statistics, Mathematics, and Machine Learning. He holds a Master's degre...
Saravanan Dhandapani
Saravanan Dhandapani
I have worked in IT design, development, and architecture for over a decade for some of the top fortune 100 companies. I have designed and architected enterprise applications and developed scalable and portable software. I am a Google Certified Professional Architect. Critical areas where I have worked are architecture and design using Java, ESB, Tomcat, ReactJS, JavaScript, Linux, Oracle, SVN, GIT, and so on, and cloud technologies, including AWS and GCP.

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