Ultimate NumPy
Curso
2397 Alunos já inscritos- 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.
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Existem 4 módulos neste curso
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.- Basic IndexingPré-visualização
- Multidimensional IndexingPré-visualização
- SlicingPré-visualização
- Slicing in 2D ArraysPré-visualização
- Integer Array IndexingPré-visualização
- Boolean IndexingPré-visualização
- More about ComparisonsPré-visualização
- Boolean Indexing in 2D ArraysPré-visualização
- Assigning Values to Indexed ElementsPré-visualização
- Assigning Values to Indexed SubarraysPré-visualização
Escolhido por estudantes das melhores escolas
Por que as pessoas escolhem o Codefinity para sua carreira

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.
Avaliações de alunos
4.7
41 avaliações
5
78%
4
15%
3
7%
2
0%
1
0%
Mostrando 3 de 41 avaliações
Ecaterina Lazarescu
5
Avaliado em May 2, 2025
Brandon Barnes
5
Avaliado em Apr 14, 2025
Josh L
5
Avaliado em Apr 8, 2025
There is a lot of content in this course and nuances between the different functions and methods but the diagrams explain these very well. I learned a lot of new things but will need to apply these to reinforce the learning.
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