Ultimate NumPy | Codefinity

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Ultimate NumPy

Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.

Course

Gain insight into a topic and learn the fundamentals

4.7

(32)

Intermediate

Recommended experience

28 chapters

Flexible schedule

Learn at your own pace

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Outcomes

Learning outcomes

Modules

Testimonial

Recommendations

Codefinity advantages

FAQs

What you will learn

Gain a solid foundation in NumPy Basics, starting with array creation and advancing to master indexing and slicing for data manipulation.
Understand commonly used NumPy functions to perform complex numerical computations with ease.
Explore mathematical operations within NumPy, equipping you with the skills to apply statistical operations and basic linear algebra.
Acquire expertise in handling missing values, reshaping arrays, and broadcasting operations fundamental for machine learning and scientific computing.

Details to know

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Assessments27 assignments

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You’re passionate about continuous learningStay ahead in the rapidly evolving IT field with our comprehensive course. It’s designed for lifelong learners who want to continuously enhance their skills and knowledge.

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There are 6 modules in this course

First of all, we will discuss the applications of NumPy and why it is popular. Afterwards you will learn various possible options to create different arrays in NumPy.

It's now time to learn how to use index notation to retrieve specific elements or subsets of data from arrays. You will also learn how to use indices to retrieve data based on certain conditions and handle missing values.

There are quite few of common operations on arrays which you may want to perform. Luckily, NumPy has built-in functions and methods for this purpose which you will learn here.

It's time to discover how to efficiently use mathematical operations on NumPy arrays and apply them in some real-world problems.

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Why people choose Codefinity for their career

Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Learner reviews

4.7

32 reviews

78%

13%

Showing 3 of 32 reviews

Reviewed on Dec 3, 2024

Clear, simple explanations!

Ben Soto

Reviewed on Dec 2, 2024

I like how I can just pop right in and continue lessons, with excellent guidance, even after long periods of inactivity.

Reviewed on Nov 11, 2024

Great overview for somebody coming from other programming languages.

Recommended if you're interested in learning Python

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