This is the Linux app named numpy_exercises whose latest release can be downloaded as numpy_exercisessourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
numpy_exercises
DESCRIPTION:
numpy_exercises is a collection of short practice problems designed to teach numerical computing through individual NumPy functions. The material is organized as Jupyter notebooks so learners can work interactively and compare their answers with companion solution notebooks. Exercises cover array creation, manipulation, string operations, help utilities, input and output, and linear algebra. Additional sections address discrete Fourier transforms, logic functions, mathematics, random sampling, and set routines. Sorting, searching, counting, and statistics are also included. Rather than presenting a single application, the repository serves as a structured hands-on workbook for building practical familiarity with the NumPy API.
Features
- Jupyter-based NumPy exercises
- Companion solution notebooks
- Array creation and manipulation practice
- Linear algebra and Fourier transform exercises
- Random sampling and mathematical functions
- Sorting, searching, and statistics practice
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/numpy-exercises.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.