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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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Without this advanced NumPy training, your Python scripts remain slow: a poorly vectorized 10M element array takes 30min instead of 2s, multiplying your AWS cloud costs by 15 (up to 500€/month wasted).
Broadcasting errors crash your ML models in production, causing business losses estimated at 10k€ per incident for 70% of data teams.
Poorly managed memory saturates servers, blocking entire pipelines.
Are you losing weeks debugging instead of delivering value?
80% of professionals advance 3x faster post-training, avoiding these costly pitfalls and securing your critical projects.
The Advanced NumPy Training - Optimize Your Complex Vector Calculations 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 Advanced NumPy Training - Optimize Your Complex Vector Calculations 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 Advanced NumPy Training - Optimize Your Complex Vector Calculations 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.
advanced
€3,150.0021 hours
in-person10 pers. max.Expert€3,150.0021 hoursremote10 pers. max.expert€2,100.0014 hoursremote10 pers. max.Expert€1,050.007 hoursremote10 pers. max.Dive into advanced vectorization by manipulating 3D arrays with NumPy, test broadcasting on 1M+ element matrices to gain x10 speed, code custom ufuncs during practical workshops, analyze concrete data science cases like satellite image processing, produce optimized scripts ready to integrate into your ML pipelines, while benefiting from expert feedback to correct your common pitfalls.
Master memory management with strides and views to handle terabytes without crashing, profile your code with NumPy and Cython for 50% perf gains, integrate seamlessly with Pandas for data wrangling and SciPy for advanced stats via exercises on real Kaggle datasets, build a complete predictive modeling project, export quantified benchmarks as deliverables, and leave with reusable templates that immediately boost your workflows.
10 participants max.
$2,310 / per person
14 hours
in-personTarget audience
Data scientists, machine learning engineers, data analysts advancing in high-performance scientific computing.
Prerequisites
Intermediate Python proficiency, NumPy basics (array creation, slicing, boolean indexing).
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