How to Learn NumPy - 13 Bootcamps to Get You Started
NumPy is a Python extension package developed for scientific and mathematical computing. NumPy provides a library of programming language for Python in mathematical functions, algorithms, linear algebra computations, and multidimensional arrays and matrices. A comprehensive program in NumPy provides students the tools and skills to analyze, extract, and manipulate numerical data.
NumPy is an important tool for data analysts and data scientists. The roles are similar, though analysts primarily examine and interpret data while scientists design and construct data applications. Data analysts earn, on average, $59,732, data scientists $95,998. Job demand for computer and information research is expected to grow by 16% by 2028.
Switchup is dedicated to helping people make the most informed and resourceful decisions possible regarding their career in the tech industry. The bootcamps below are ranked according to verified reviews of the program’s curriculum and job support. High-quality bootcamps in NumPy should offer students the opportunity to work with all data types and functions in a real-world environment.