Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Plan Szkolenia
Introduction
- SciPy vs NumPy
- Overview of SciPy features and components
Getting Started
- Installing SciPy
- Understanding basic functions
Implementing Scientific Computing
- Using SciPy constants
- Calculating integrals
- Solving linear equations
- Creating matrices with sparse and graphs
- Optimizing or minimizing functions
- Performing significance tests
- Working with different file formats (Matlab, IDL, Matrix Market, etc.)
Visualizing and Manipulating Data
- Implementing K-means clustering
- Using spatial data structures
- Processing multidimensional images
- Calculating Fourier transformations
- Using interpolation for fixed data points
Troubleshooting
Summary and Next Steps
Wymagania
- Python programming experience
Audience
- Developers
7 godzin
Opinie uczestników (5)
przykłady i ćwiczenia
Kamil
Szkolenie - Introduction to Data Science and AI using Python
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Szkolenie - Applied AI from Scratch in Python
pozytywna atmosfera na szkoleniu
Piotr Wojciechowski - Centrum Informatyki Resortu Finansów
Szkolenie - Data Mining with Python
examples based on our data
Witold - P4 Sp. z o.o.
Szkolenie - Deep Learning for Telecom (with Python)
Bardzo interaktywne z różnymi przykładami, z dobrym postępem złożoności między początkiem a końcem szkolenia.
Jenny - Andheo
Szkolenie - GPU Programming with CUDA and Python
Przetłumaczone przez sztuczną inteligencję