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Reliable NumPy Coders, Specialists for Hire in Ukraine

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NumPy Development Services

NumPy Development Services in Ukraine

Searching for a NumPy consultant for your app? You definitely came to the right agency. “Echo” presents IT staffing services and project based programming. We pleasantly help you to find the finest employee or a team for remote work. All our developers are accomplished specialists proficient in building custom apps using the most recent techs, including NUMPY, Raspberry pi, C++, Requirejs, Woocommerce, Sharepoint, Concrete5, Django, SugarCRM, Umbraco, Backbone. You can also hire us as a NumPy development partner and delegate full-cycle development services to us.


  • First-class Ukrainian coders with over 3 yrs of business experience.
  • Talent retention best practices to make sure your developers stay satisfied.
  • Dedicated account managers to ensure effective cooperation.
  • Adjustable contract with simple bi-weekly payments.

We help you execute your plans by preparing trusted NumPy coders who can join your company and immediately start delivering excellent service. Get in touch with us and take a look at the profiles of software engineers available for employment right now. Also, you can read “NumPy Developer Salary in the US and UK compare to Ukraine” to reveal the true cost of hiring.

TOP5 NumPy Programmers in February 2018

1 Nazar I.,Age: 23, E-mail: na*@gmail.com,
Skills: Python, Matlab, Python (NumPy), OpenCV
Contact Us to Get the Full CV (ID 554373)

2 Alexandr A.,Age: 29, E-mail: ag*@ukr.net,
Skills: JS (jQuery), Python (Django), SQL, JS (Ember), Python (NumPy)
Contact Us to Get the Full CV (ID 554334)

3 Aleksandr T.,Age: 28, E-mail: re*@gmail.com,
Skills: JS, Python, Python (Django), MySQL, Python (NumPy)
Contact Us to Get the Full CV (ID 554333)

4 Alexey T.,Age: 25, E-mail: al*@gmail.com,
Skills: JS, Python, JS (jQuery), Python (Django), MySQL, Python (NumPy)
Contact Us to Get the Full CV (ID 554330)

5 Roman S.,Age: 24, E-mail: du*@gmail.com,
Skills: JS, Python, HTML/CSS, SQL, Python (NumPy)
Contact Us to Get the Full CV (ID 554329)

The rating of NumPy coders is based on our applicant tracking system (ATS) data and refreshed on a daily basis.

Questions and Answers related to NumPy Development

What is NumPy?
“NumPy Is an extension to the Python programming language, adding support for large, multidimensional arrays and matrices along with a large library of high-level mathematical functions to operate on these arrays. NumPy gives you much of the functionality you would have in a scientific computing language like Matlab or R. It forms the backbone of Python’s very popular scientific computing stack, which is used a lot in data science and machine learning.”
Is using NumPy faster than using for-loops to handle lists, and why?
“Some speed improvements come down to How a NumPy array is stored vs. How a list is stored. A NumPy array is stored consecutively one number right after the other with a fixed width for each value. Hardware is used to dealing with getting one value right after the other and it has tricks to optimize the reading of the next thing…”
Is it possible to initialize tensors in TensorFlow with NumPy?
“Yes, the TensorFlow API is designed to make it easy to convert data to and from NumPy arrays. If you are initializing a tensor with a constant value, you can pass a NumPy array to the tf.constant() op, and the result will be a TensorFlow tensor with that value. If you are initializing a tensor that will vary (such as a weight matrix), you can pass a NumPy array to the tf.Variable constructor, and the result will be a TensorFlow variable tensor with that initial value.”
What is the relationship between PyLab, NumPy, and SciPy?
“NumPy is based on its predecessor, Numeric. Numeric was first released in 1995 and has a deprecated status now. Neither Numeric nor NumPy made it into the standard Python library for various reasons. Originally the NumPy code was part of SciPy. However, you can install NumPy separately. In 2001, a number of people inspired by Numeric created SciPy in 2001—an open source Python scientific computing library that provides functionality similar to that of Matlab, Maple, and Mathematica…”

Consider asking some of these questions during a job interview to assess candidate’s skills.

Still not Convinced? Take a look at some of Our Clients

  • NumPy professionals for Tesco
  • NumPy professionals for Microsoft
  • NumPy coders for Sky
  • NumPy professionals for Powwownow
  • NumPy professionals for F1
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