Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Simpliv. Become a complete Machine Learning and Python pro. Our experts will show you how to use your knowledge of Python to learn to use it for Machine Learning. All you need is basic knowledge of Python. Our course will take it up from there and make you an expert.
A Python Developer with strong Python, Machine Learning and DevOps experience is required by a FinTech Start-up in Central London that has just secured a substantial amount of funding. You will be one of the first 40 people to join this business which is set to double in size by this time next year. You will be a key contributor to the Back End of their product and the ecosystem as a whole using modern technologies and practices. You will be responsible for engineering web apps that integrate RESTful web services with distributed cloud computing. This is an excellent opportunity for a Python Developer (Python, Machine Learning, DevOps) who has the desire to grown with a business and become a Senior member of the team within it.
For better or worse, I had exclusively used R when I had started out with ML. I was already acquainted with Python and C/C at that point (through WebDev, Competitive programming). But I wanted to try out R, and was interested in statistics and the mathematical details involved. One benefit which sticking to a single, and a high-level one at that, language brought was being able to concentrate on ML-related concepts. So that when after a few months, I started out with Python's scientific and ML stack, things were much easier.
Python is a general language and it can be used to build both, web and desktop applications. Python is widely used to develop complex applications that are built on heavy software. It is a versatile programming language that offers a gamut of easy to use functions. It is no surprise that Python is one of the fastest-growing programming languages in the world. Businesses are providing Python training to their employees to create better, more efficient and cost-effective applications.