Course Outline
Introduction
- Free and General Purpose vs Proprietary or Specific Use
Establishing a Python Development Environment for Data Science
The Strength of Matlab in Numerical Problem Solving
Python Libraries and Packages for Numerical Computing and Data Analysis
Practical Application of Python Syntax
Importing Data into Python
Matrix Manipulation
Mathematical Operations
Data Visualisation
Porting an Existing Matlab Application to Python
Common Pitfalls When Moving to Python
Calling Matlab from Python and Conversely
Python Wrappers for Creating a Matlab-like Interface
Summary and Conclusions
Requirements
- Proficiency in Matlab programming.
Target Audience
- Data scientists
- Developers
Custom Corporate Training
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- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
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Testimonials (2)
everything was perfect
Florin Vrincianu
Course - Python Programming Fundamentals
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
