Python for MATLAB Users/MATLAB Fans: From Newbie to SuperbIn 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 Pythons 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 PythonThe fundamentals and basics of Python as a multi-purpose computational programing languageHow to create lists, arrays, matrices, for-loops, while-loops, if statements, functions, objects in PythonHow to build practical real life applications and prototypes with PythonThe 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 PythonAll what you need in order to replicate the experience of MATLAB but with PythonAll the key core differences between MATLAB and Python and how to consider this while using PythonAll the Important similarities between MATLAB and Python and how to make use of this while using pythonStrategies and Techniques for converting your MATLAB codes into Python CodesHow to use NumPy arrays as alternatives to MATLAB matricesHow indexing and slicing actually work in python and how it is different from MALTAB=============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.=========Why transition from MATLAB to Python?If youre unsure of whether youd like to transition to Python, weve collected some of the most commonly cited reasons for the change. Cost is often the first reason given, as licensing fees add up quickly and may account for a significant part of a small organizations budget. Python has the appeal of being free, because you do not have to pay a license fee and you have access to many free open source packages. Choosing Python or any other open source language lets you run your code without being locked-in with a given provider. There is no need to pay a license fee in order to keep your software running. More importantly, it means that colleagues, and others, can run Python code without requiring a license. This can greatly improve the chances of survival for your project. Finally, Python has the benefit of being a general purpose programming language. Though it is an excellent language for scientific computing, it is not solely a scientific computing language. It can be used to do everything from building a file synchronization system, a photo-sharing service, a 3D modeling and video-editing application, and a video hosting platform, to discovering gravitational waves. The
