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Intermediate NumPy Training - Optimize Your Vectorized Calculations

Ref: EQM166
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master the creation and advanced manipulation of multidimensional arrays
  • Optimize performance through vectorization and broadcasting
  • Apply ufunc operations and linear algebra
  • Handle boolean indexing and fancy indexing
  • Integrate NumPy with Pandas and Matplotlib
  • Develop high-performance scripts for massive data analysis
  • Diagnose and fix memory leaks

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 intermediate mastery of NumPy, your Python scripts run 10 times slower on large datasets, leading to processing delays of several hours instead of minutes, and exorbitant cloud costs exceeding 500€ per analysis.

  • Indexing errors cause 20% of false results in data science, leading to erroneous business decisions and estimated annual financial losses of 10k€ for a team of 5 analysts.

  • Miss vectorization, and your productivity drops by 40%, making your profile obsolete against competitors who already adopt these standards.

  • Avoid these pitfalls: train now for immediate gains in efficiency and employability.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced NumPy Arrays: Creation, Shapes, and Attributes (ndarray tools, reshape methods)

Dive into expert manipulation of NumPy arrays, create complex ndarrays from real data, explore shape, dtype, and strides attributes through interactive exercises, transform CSV datasets into optimized matrices, produce your first vectorized scripts to accelerate processing, and validate your skills on concrete data loading cases.

Module 2Vectorized Operations: Arithmetic and Universal Functions (ufunc, broadcasting)

Accelerate your calculations by mastering NumPy ufuncs, add, multiply, and apply trigonometric functions to millions of data points without loops, discover broadcasting to automatically align dimensions, complete exercises on physical simulations, generate performance comparison charts, and integrate these techniques into your daily workflows for a 10x speed gain.

Module 3Advanced Indexing: Slicing, Fancy, and Boolean (advanced ndarray methods)

Become a pro at selective access with fancy and boolean indexing, extract complex subsets from large arrays without copying, mask outliers in real scientific analysis datasets, combine advanced slicing and views to save memory, test on concrete cases like image filtering, and optimize your queries for peak performance.

Module 4Linear Algebra and Statistics: linalg and random (matrix tools, distributions)

Leverage the linalg module to solve linear systems, compute eigenvalues and SVD on real matrices, simulate datasets with random to test robustness, apply correlations and weighted averages through statistical exercises, integrate into basic machine learning projects, measure precision and speed gains, and prepare production-ready deliverables.

Module 5Optimization and Integration: Profiling, Memory, Final Projects (memoryview, Cython intro)

Reach expert level by profiling your code with line_profiler, eliminate memory leaks using views and strides, integrate NumPy with Pandas for hybrid dataframes and Matplotlib for visualizations, develop a complete massive data analysis project, receive personalized feedback, export your optimized scripts, and leave with a concrete portfolio to boost your CV.

Evaluation method

  • Daily interactive quizzes, graded practical exercises, final certifying project, 360° feedback

Learning method

  • 80% hands-on approach, real-world sector cases, shared Jupyter notebooks, data science simulations

Methods, materials and delivery

The Intermediate NumPy Training - Optimize Your 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 Intermediate NumPy Training - Optimize Your 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 Intermediate NumPy Training - Optimize Your 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

Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« 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
★★★★★

« 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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