Getting into NumPy Basics
Curso
272 Estudiantes ya inscritos- Understand the core features of NumPy and its role in scientific computing.
- Grasp the architecture and capabilities of NumPy as essential for data analysis.
- Explore the creation and manipulation of NumPy arrays for diverse applications.
- Perform basic statistical operations, useful in data science and analytics.
Equipa tu negocio con tecnología de punta Datos e IA experiencia.
Compártelo en redes sociales y en tu evaluación de desempeño
Hay 1 módulos en este curso
In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.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
5.0
2 reseñas
5
100%
4
0%
3
0%
2
0%
1
0%
Mostrando 2 de 2 reseñas
Shawn Walsh
5
Revisado en Mar 10, 2025
Jordan F.
5
Revisado en Apr 12, 2024
Good
Recomendado si estás interesado en aprenderPython
¡Abraza la fascinación de las habilidades tecnológicas! Nuestro asistente de IA proporciona retroalimentación en tiempo real, pistas personalizadas y explicaciones de errores, empoderándote para aprender con confianza.
Con Espacios de trabajo, puedes crear y compartir proyectos directamente en nuestra plataforma. Hemos preparado plantillas para tu conveniencia
Toma el control de tu desarrollo profesional y comienza tu camino hacia el dominio de las últimas tecnologías
Los proyectos del mundo real elevan tu portafolio, mostrando habilidades prácticas para impresionar a posibles empleadores




Acceso completo al catálogo
Una suscripción abre este curso y todo nuestro catálogo de proyectos y habilidades.Tu suscripción también incluye:
Preguntas frecuentes
¿Aún tienes preguntas?
Escribe tu pregunta aquí