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Schița de curs
Introducere
- Gratuit și cu scop general vs. Nepgratuit sau cu scop specific
Configurarea unui Python mediu de dezvoltare pentru Data Science
Puterea Matlab pentru rezolvarea problemelor numerice
Python Biblioteci și pachete pentru rezolvarea problemelor numerice și Data Analysis
Exerciții practice cu sintaxa Python
Importarea datelor în Python
Matrix Manipulare
Operații matematice
Vizualizarea datelor
Conversia unei aplicații Matlab existente în Python
Capcane frecvente la trecerea la Python
Apelând Matlab din interiorul Python și viceversa
Python Wrapper-uri pentru furnizarea unei interfețe asemănătoare Matlab
Rezumat și Concluzie
Cerințe
- Experiență cu programarea Matlab.
Audiență
- Oameni de știință specializați în date
- Dezvoltatori
14 ore
Mărturii (5)
Faptul de a avea mai multe exerciții practice folosind date mai asemănătoare cu cele pe care le folosim în proiectele noastre (imagini satelitare în format raster)
Matthieu - CS Group
Curs - Scaling Data Analysis with Python and Dask
Tradus de catre o masina
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Curs - Developing APIs with Python and FastAPI
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
Curs - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Curs - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
