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Technologies / Programming

Python for MATLAB Users

Training is designed specifically for MATLAB users who want to expand their capabilities with data analysis in Python. The program focuses on showing analogies between MATLAB and Python environments, enabling smooth transition between technologies. Classes are conducted in workshop format, where participants immediately translate learned theory into practice, working on real examples using NumPy, SciPy and Matplotlib libraries. The training systematically builds understanding of the Python ecosystem for scientific and engineering applications.

Issues

  • Python ecosystem for scientific applications

  • NumPy and SciPy libraries

  • Data analysis with Pandas

  • Visualization in Matplotlib

  • Jupyter Notebook and interactive computing

  • Python code optimization

  • Porting code between environments

  • Computational process automation

  • Integration with existing solutions

  • Good practices in scientific computing

  • Advanced visualization techniques

  • Documentation and analysis reproducibility

Benefits

  • Participants will develop the ability to effectively use Python as a complement or alternative to MATLAB
  • Transferring existing analyses from MATLAB to Python environment
  • They will learn to use NumPy and SciPy libraries for advanced scientific computing
  • They will learn techniques for creating professional data visualizations using Matplotlib
  • They will be able to create interactive Jupyter notebooks as an alternative to MATLAB Live Scripts
  • They will gain the ability to automate analytical processes in Python
  • They will learn to effectively combine the capabilities of both environments in daily work

Who is this training for?

Engineers using MATLAB wanting to learn Python
Data analysts wanting to expand their technology toolkit
Scientists seeking alternative computational tools
MATLAB programmers interested in open source solutions
R&D department employees needing flexible analytical tools
Mathematical modeling specialists
People involved in scientific computing
Process engineers seeking new data analysis tools

Prerequisites

  • Experience working with MATLAB
  • Basic programming knowledge
  • Understanding of data analysis concepts
  • Knowledge of mathematics at engineering level

Training program

01

Comparison of MATLAB and Python environments

  • Programming environment configuration
02

Basic scientific libraries

  • Jupyter Notebook as alternative to MATLAB Live Scripts
  • Numerical computing in Python
  • NumPy as equivalent of MATLAB matrix operations
  • Pandas for tabular data analysis
  • SciPy for scientific computing
  • Computation performance optimization
03

Data visualization

  • Matplotlib and its similarities to MATLAB graphics
  • Advanced charts and animations
04

Interactive visualizations

  • Chart customization
  • Integration and practical applications
  • Porting scripts from MATLAB to Python
  • Cooperation between environments
05

Analysis automation

  • Creating reports and documentation

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Python for MATLAB Users training for?

This training is designed for professionals looking to develop skills in python for matlab users. Required level: intermediate.

How long is the Python for MATLAB Users training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Bożena Machowska-Worek
Bożena Machowska-Worek Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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ING Bank - EITT client
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PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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