Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Formation NumPy Avancé - Optimisez Vos Calculs Scientifiques training are: Maîtrise de Python intermédiaire, bases NumPy (arrays 1D/2D, slicing, opérations vectorielles simples).. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation NumPy Avancé - Optimisez Vos Calculs Scientifiques training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation NumPy Avancé - Optimisez Vos Calculs S... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Formation NumPy Avancé - Optimisez Vos Calculs Scientifiques training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Formation NumPy Avancé - Optimisez Vos Calculs Scientifiques training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Formation NumPy Avancé - Optimisez Vos Calculs Scientifiques training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Maîtriser les arrays multidimensionnels et l'indexing avancé

Optimiser les performances via vectorisation et broadcasting

Implémenter l'algèbre linéaire avec matrices et décompositions

Gérer les opérations ufuncs personnalisées et masques

Intégrer NumPy à des workflows data science complexes

Développer des scripts haute performance sur datasets massifs

Training program

Module 1Arrays Avancés : Indexing Fancy et Broadcasting NumPy

Plongez dans l'indexing fancy, booléen et avancé pour extraire des données complexes en un clin d'œil, explorez le broadcasting pour additionner arrays de tailles variées sans boucles, pratiquez sur datasets réels d'imagerie, générez vos premiers masques et visualisez les résultats avec Matplotlib, ressentez la puissance immédiate de NumPy.

Module 2Vectorisation et Ufuncs : Opérations Efficaces NumPy

Vectorisez vos calculs pour accélérer jusqu'à 100x les performances, créez des ufuncs personnalisées pour des maths sur mesure, manipulez vues et copies intelligentes pour économiser la mémoire, testez sur simulations physiques, produisez des benchmarks comparatifs, transformez vos codes lents en machines optimisées.

Module 3Algèbre Linéaire : Matrices et Décompositions NumPy

Résolvez systèmes linéaires, calculez valeurs propres et SVD en quelques lignes, appliquez décompositions QR/LU sur matrices massives, intégrez à des cas concrets comme la PCA, expérimentez inversions stables et conditionnement, livrez des notebooks prêts pour production, dominez les calculs scientifiques intensifs.

Module 4Optimisations Avancées : Projets Intégrés NumPy

Poussez les limites avec mémoire mapping et Cython pour datasets géants, intégrez NumPy à Pandas/Scikit-learn, optimisez pour GPU via CuPy, réalisez un projet final sur analyse de signaux, débuggez performances réelles, repartez avec portfolio concret et astuces pro pour scaler vos applications.