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Training NumPy 2026 - Mastering Advanced Vectorized Calculations

Ref: HLW125
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master multidimensional arrays and NumPy 2026 vectorized operations in a professional context.
  • Develop skills in performance optimization to accelerate calculations in a business environment.
  • Design efficient data pipelines using broadcasting and advanced ufuncs from the certified training.
  • Implement complex matrix manipulations for real-world scientific applications.
  • Optimize NumPy code for massive datasets in a professional environment.
  • Integrate NumPy 2026 into data science workflows for immediate productivity gains.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1NumPy 2026 Fundamentals: Advanced Arrays and Vectorization (practical exercises, optimized array creation)

Discover the new features of NumPy 2026 with the creation of multidimensional arrays, advanced slicing, and vectorized operations to accelerate your Python scripts. Practice on real data science datasets, implement broadcasting to avoid slow loops, generate integrated Matplotlib visualizations. Each exercise produces a functional deliverable, tested in groups for consolidation of professional skills.

Module 2NumPy 2026 Matrix Operations: Linear Algebra and Ufuncs (system solving, decompositions)

Dive into linear algebra with dot products, matrix inversions, and SVD/EVD decompositions via NumPy 2026. Apply to real cases such as physical modeling or machine learning, optimize with linalg for x10 performance. Exercises on large datasets include execution time profiling and production of ready-to-use company analytical reports.

Module 3Optimization and Performance in NumPy 2026: Memory and Parallelism (JIT, Cython intro)

Learn to manage memory with views and strides in NumPy 2026, integrate Numba for JIT acceleration on CPU/GPU. Test on massive scientific simulations, compare before/after for measurable gains up to 100x. Practices include performance debugging, generation of custom benchmarks, tailored to professional data engineering needs.

Module 4Advanced NumPy 2026 Projects: Ecosystem Integration and Real Cases (Pandas, SciPy, deployment)

Combine skills in a capstone project: image/signal processing with NumPy 2026 coupled with Pandas/SciPy, Dockerized deployment. Tackle company challenges like optimized ETL, validate via peer-review and performance metrics. Deliverables include annotated source code, business impact report, ready for certified professional portfolio.

Evaluation method

  • Daily interactive quizzes on key NumPy 2026 concepts for progressive validation.
  • Final practical project evaluated by Qualiopi-certified trainers based on performance and code criteria.
  • Certificate of competencies issued post-training, eligible for CPF in companies.

Learning method

  • Project-based method for immediate anchoring of NumPy skills.
  • Hands-on exercises in small groups with real-time personalized feedback.
  • Video replay supports and Jupyter notebooks for post-training review.
  • Access to e-learning platform for 6 months for independent deepening.

Methods, materials and delivery

The Training NumPy 2026 - Mastering Advanced Vectorized Calculations program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training NumPy 2026 - Mastering Advanced Vectorized Calculations program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training NumPy 2026 - Mastering Advanced Vectorized Calculations program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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