Scientific Python

This course will enable you to manipulate, analyze, and visualize your data using the most popular libraries from the SciPy Stack: Numpy, Scipy, pandas, and matplotlib. Concepts related to library usage are presented progressively. To ensure participants fully grasp the notions presented, several practical exercises are offered throughout the training.

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Scientific Python

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Scientific Python

Course : Scientific Python
Reference : PYS
Duration : 3 days – 21 hours
Dates : See INTER calendar
Level : Deepening
Course Material : French or English
Location : Remote, Paris, Bordeaux, Lyon, or on-site
Price : 1890€ excluding tax
Update Date : 2025-02-06

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Registration request

📲 +33 1 69 88 85 29

📩 By email: suivi-formation.styrel@ame.ametragroup.com

Training objectives

At the end of the training, the trainee will be able to:

- Create and configure your Scientific Python working environment - Understand the Python scientific ecosystem - Analyze your data with NumPy, pandas, and SciPy - Visualize your data with Matplotlib and pandas

Prerequisites

To effectively follow this course, participants should have: A solid foundation in Python: Proficiency in control structures (conditionals, loops), functions, modules, classes, and objects. Basic notions in mathematics: Understanding of fundamental concepts in linear algebra, calculus, and statistics.

Target audience

Engineers, developers, scientists, educators, etc.

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Scientific Python

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Scientific Python

Scientific Python

Training objectives

Prerequisites

Target audience

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