Plan Szkolenia
Introduction
- Free and General Purpose vs Not Free or General Purpose
Setting up a Python Development Environment for Data Science
The Power of Matlab for Numerical Problem Solving
Python Libraries and Packages for Numerical Problem Solving and Data Analysis
Hands-on Practice with Python Syntax
Importing Data into Python
Matrix Manipulation
Math Operations
Visualizing Data
Converting an Existing Matlab Application to Python
Common Pitfalls when Transitioning to Python
Calling Matlab from within Python and Vice Versa
Python Wrappers for Providing a Matlab-like Interface
Summary and Conclusion
Wymagania
- Experience with Matlab programming.
Audience
- Data scientists
- Developers
Opinie uczestników (6)
Zadania do zrealizowania samodzielnie oraz późniejsze wspólne rozwiązywanie
Katarzyna Kopysc-Falenta - CapGemini
Szkolenie - Data Analysis with Python, Pandas, and Numpy
Przekazanie wiedzy praktycznej oraz doświadczeń trenera.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Szkolenie - GUI Programming with Python and PyQt
Przetłumaczone przez sztuczną inteligencję
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Szkolenie - Scaling Data Analysis with Python and Dask
Trener był bardzo dostępny, aby odpowiedzieć na wszystkie pytania, które zadałem
Caterina - Stamtech
Szkolenie - Developing APIs with Python and FastAPI
Przetłumaczone przez sztuczną inteligencję
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Szkolenie - Build REST APIs with Python and Flask
As I was the only participant the training could be adapted to my needs.