Ultimate NumPy
Curso
2397 Estudiantes ya 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.
Equipa tu negocio con tecnología de punta Datos e IA experiencia.
Compártelo en redes sociales y en tu evaluación de desempeño
Hay 4 módulos en este 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 IndexingVista previa
- Multidimensional IndexingVista previa
- SlicingVista previa
- Slicing in 2D ArraysVista previa
- Integer Array IndexingVista previa
- Boolean IndexingVista previa
- More about ComparisonsVista previa
- Boolean Indexing in 2D ArraysVista previa
- Assigning Values to Indexed ElementsVista previa
- Assigning Values to Indexed SubarraysVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera

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.
Reseñas de estudiantes
4.7
41 reseñas
5
78%
4
15%
3
7%
2
0%
1
0%
Mostrando 3 de 41 reseñas
Ecaterina Lazarescu
5
Revisado en May 2, 2025
Brandon Barnes
5
Revisado en Apr 14, 2025
Josh L
5
Revisado en 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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