Python for MATLAB Users: From Newbie to Superb
Python for MATLAB Users: From Newbie to Superb
Python for MATLAB Users and Fans: Learn how to start using Python as a powerful and solid alternative tool to MATLAB
Start Learning Matlab Now => Python for MATLAB Users: From Newbie to Superb
What you'll learn
- How to make a smooth transition switch from Matlab to Python
- Learn the fundamentals and basics of Python as a multi-purpose computational programing language
- Learn how to create lists, arrays, matrices, for-loops, while-loops, if statements, functions, objects in Python
- Lear how to build practical real life applications and prototypes with Python
- Lear the main and key differences between Python and Matlab and why the industry prefers Python over Matlab
- Learn how do regression, curve fitting, optimization, testing, machine learning using Python
- Learn all what you need in order to replicate the experience of MATLAB but with Python
- Learn all the key core differences between MATLAB and Python and how to consider this while using Python
- Learn all the Important similarities between MATLAB and Python and how to make use of this while using python
- Learn Strategies and Techniques for converting your MATLAB codes into Python Codes
- Learn how to use NumPy arrays as alternatives to MATLAB matrices
- Learn How indexing and slicing actually work in python and how it is different from MALTAB
Python for MATLAB Users/MATLAB Fans: From Newbie to Superb
In this course, you will learn how to start using Python as a powerful, comprehensive, Machine Learning oriented, and solid alternative tool to MATLAB: From simulation to prototype to real life production applications, all in the same language.
If you are not yet a user of Python, and its move to become the most common programming language has piqued your interest, then you are in the right place.
This course is designed and targeted for MATLAB fans and long-standing users, who are considering moving to Python, either partially or totally.
Python has become one of top used languages in the world in many fields including science, engineering, machine learning, and data science with a lot of momentum. Many top high profile projects and applications use it and more are transitioning to it all the time. The reason behind this is that Python is completely free, but more importantly, it is because Python has a thriving ecosystem of packages that allow developers to work faster and more efficiently. They can go from simulation to prototyping to production to scale on hardware ranging from a Raspberry Pi (or maybe micro controller) to a cluster, all using the same language. A large part of Python’s growth is driven by its excellent support for work in the fields of science, engineering, machine learning, and data science.
You might be thinking about switching from MATLAB to Python to get access to the ecosystem and increase your productivity, but you might also have some outstanding questions and concerns, such as: How do I get started? Will any of my knowledge transfer? How different are Python and MATLAB? How long will it take me to become proficient? Is it too big a of a shift? Can I transition gradually or do I have to do it all at once? .
We know people put a lot of thought into the tools they select and that changing platforms is a big deal. So, we created this course to help you make the right choice.
In this course, we give you the key information and insight you need to quickly evaluate whether Python is the right choice for you and your team, including: How to get started, What you need in order to replicate the MATLAB experience, Important conceptual differences between MATLAB and Python, Important similarities between MATLAB and Python: What MATLAB knowledge will transfer, Strategies for converting existing MATLAB code to Python, How to accelerate your transition.
So, in a nutshell, you will learn the followings from this course:
- How to make a smooth transition switch from MATLAB to Python
- The fundamentals and basics of Python as a multi-purpose computational programing language
- How to create lists, arrays, matrices, for-loops, while-loops, if statements, functions, objects in Python
- How to build practical real life applications and prototypes with Python
- The main and key differences between Python and MATLAB and why the industry prefers Python over MATLAB
- How do regression, curve fitting, optimization, testing, machine learning using Python
- All what you need in order to replicate the experience of MATLAB but with Python
- All the key core differences between MATLAB and Python and how to consider this while using Python
- All the Important similarities between MATLAB and Python and how to make use of this while using python
- Strategies and Techniques for converting your MATLAB codes into Python Codes
- How to use NumPy arrays as alternatives to MATLAB matrices
- How indexing and slicing actually work in PYTHON and how it is different from MALTAB
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In addition, the course explores common tasks when doing data analysis or running simulations, with a focus on the most common packages used for each task, such as loading data, cleaning and reformatting data, performing analysis or simulation, plotting, and saving data.
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