Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover essential strategies, trends, and training programs for organizations to excel in data governance by March 2026. Stay compliant and leverage data effectively.
Don't let this gap widen
Without advanced NumPy expertise, your scripts lose up to 100x in speed, multiplying data processing delays by 10 on GB datasets, leading to 50% inflated hardware costs and ML projects delayed by critical weeks.
Invisible memory bugs crash your production pipelines, wasting debug hours and frustrating teams.
Competitors optimized via Numba/Cython outpace you, risking loss of six-figure data contracts.
Master it or suffer: 70% of data scientists report sub-optimal performance hindering ROI.
The NumPy Expert Training - Boost Your Calculations 100x Faster 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.
To ensure the quality of the NumPy Expert Training - Boost Your Calculations 100x Faster training, Learni provides the following 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.
The assessment of skills acquired during the NumPy Expert Training - Boost Your Calculations 100x Faster training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into array optimization by handling complex dtypes, profiling with MemoryProfiler to identify bottlenecks, massively vectorize via strides and fancy indexing during exercises on real 1GB datasets, create your custom UFuncs on concrete satellite imagery cases, test gains up to 50x live, produce a performance report with Matplotlib visualizations for immediate deliverables.
Master expert broadcasting on tensors for physical simulations, integrate Numba and Cython in custom ML algorithm exercises, debug memory on virtual clusters with concrete quantitative finance cases, develop optimized big data pipelines, measure 100x accelerations via live benchmarks, finalize with a deliverable project: custom deployable NumPy module for production, with source code and demo to boost your projects tomorrow.
Target audience
Data scientists, machine learning engineers, AI researchers seeking to advance their NumPy performance skills.
Prerequisites
Advanced mastery of Python, expert usage of core NumPy, knowledge of SciPy and Pandas.
Loading...
Please wait a moment





























