Hire top-quality NumPy developers remotely at half the cost with Turing in 4 days. Scale your engineering team with the best NumPy developers.
NumPy Developer
Romain is data science professional with 3+ years of experience building data pipelines & back-end systems, analyzing data, providing meaningful insights, and deploying software solutions.
NumPy Developer
Ariel is working as a senior software developer for more than 10 years. He is skilled in Web Development and Machine Learning, and have worked with all kinds of teams all around the world.
NumPy Developer
Abdul is a passionate software engineer with 8+ years of experience working in different organizations ranging from startups to tech giants. He has worked on diverse projects such as back-end automation, data engineering (and visualization) and application development.
NumPy Developer
Ogban has 5+ years implementing a wide range of machine learning and deep learning models. His strongest skills include working with python for machine learning including the major deep learning libraries (Pytorch, Tensorflow etc.).
NumPy Developer
Mehul has a computer science background with solid technical skills in Data engineering, Python, ML, Pandas, Java, AWS, MySQL, open source technologies and others.
Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.
We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.
We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.
4 days
to fill most roles,
sometimes same day.
50+ hours
of engineering team time
saved per developer on interviewing.
97%
engagement
success rate.
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NumPy is a python library used for multi-dimensional, large matrices and arrays. It offers algebra routines, extensive mathematical functions, Fourier transforms, random number generators, and much more. It is an extremely fast and reliable library that offers an array object 50x faster than Python lists.
One of the main reasons it is faster than Python lists is that the computation parts of NumPy are written in C or C++. NumPy is numeric Python but it is easy to use and can be used more freely in comparison to Python. The features of NumPy are easy to use and do not require an expert level of mathematical understanding.
The usage of NumPy enables developers to handle complex mathematical operations and helps in faster execution with the help of multi-dimensional arrays. It can be used along with Data Analysis, Data Science, and Machine Learning. NumPy has features that help in avoiding memory wastage while in the data buffer.
NumPy is a high-level open-source library that can be used to perform a wide number of mathematical implementations on arrays. The powerful data structure of NumPy guarantees efficient and accurate calculations with matrices and arrays. It can also be used to perform several mathematical operations on arrays such as statistical, algebraic, and trigonometric practices. Therefore, the library contains a wide variety of mathematical, algebraic, and transformation functions.
A proficient NumPy developer will bring you all the benefits that the library holds. Companies make use of NumPy along with Python as it has various benefits that empower Python to compute functions faster. It enables them to compute arrays through matrix data structures and multi-dimensional Numarrays. NumPy renders a structure computation flow within matrices and arrays throughout the calculative operations. Not just that, it contains random number generators and has an extensible nature that helps in less memory consumption and faster runtime behavior.
With all the benefits that NumPy imparts to an organization, companies are looking to hire NumPy developers that are well-versed with the use of this library that profits their organization. However hiring pre-eminent NumPy developers with an exceptional command of the tech is not easy, as there is a lot of competition in the market for high-quality NumPy developers.
So, what’s the solution? Is it possible to hire NumPy developers quickly and in a cost-effective way without compromising on quality?
The answer is yes.
Turing offers companies top remote NumPy developers pre-vetted to a high standard at half the price and within 4 days. We select the best remote NumPy developers after testing their expertise in many areas like Python, Pandas, C, C++, Matplotlib, etc.
Companies can now build a team of top remote NumPy developers in just 4 days with Turing.
Including top companies backed by: