(Click the public account above to quickly follow) NumPy is a scientific computing library for Python that provides matrix operations and is generally used alongside SciPy and matplotlib. Today, on NumPy’s GitHub homepage, it was announced that the NumPy library will drop support for Python 2 starting January 1, 2019. Excerpt from ‘Python Developers’: The … Read more
The core functionality of NumPy (Numerical Python) is specifically designed to handle multidimensional arrays, but its capabilities extend far beyond that. As the foundational library for scientific computing in Python, it centers around N-dimensional arrays (ndarray), deriving a full range of functionalities covering mathematical operations, linear algebra, data preprocessing, and more. 1. ndarray: NumPy’s Exclusive … Read more
Graphing Basics 1. Basic XY Plane Plotting Commands MATLAB is not only skilled in matrix-related numerical computations but is also suitable for various scientific visualizations. This section will introduce the basic plotting commands in MATLAB for the XY plane and XYZ space, including the plotting, printing, and saving of one-dimensional curves and two-dimensional surfaces. The … Read more
Matlab is a professional software for scientific computing and data analysis, widely used in various fields such as engineering, science, and finance. It helps users perform efficient data visualization, numerical calculations, simulation modeling, etc., providing a complete scientific computing experience. Today, I will introduce the file commands of this tool, hoping to assist everyone. 1. … Read more
Last year, the ban on Matlab at Harbin Institute of Technology and Harbin Engineering University sparked heated discussions among engineering students (Breaking: Harbin Institute of Technology and Harbin Engineering University banned Matlab software). So what exactly is this amazing software Matlab? How does it benefit us, the materials science professionals? MATLAB is an engineering application … Read more
Introduction to MATLAB Learning Paths MATLAB (Matrix Laboratory) is a commercial mathematical software developed by MathWorks, designed for algorithm development, data visualization, data analysis, and numerical computation. It provides comprehensive solutions for many scientific fields. With its characteristics of being easy to learn, concise and efficient code, powerful computational capabilities, strong plotting functions, and extensibility, … Read more
When using MATLAB for scientific computing, data analysis, and engineering development, we often need to debug code, visualize results, and document the entire workflow. At this point, MATLAB Live Editor acts like a Swiss Army knife, helping developers seamlessly integrate code, charts, and documentation to create clear and intuitive interactive workflows. If you haven’t tried … Read more
Click to Follow | Making Scientific Research Simpler Star us for easier access to practical tutorials! Introduction A Taylor diagram is a commonly used visualization tool for comparing the performance differences between model simulations and observations. It displays correlation, standard deviation, and root mean square error in one chart, making it a powerful assistant in … Read more
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Translation organized by Python Tribe (python.freelycode.com), no reproduction allowed, sharing is welcome. This article is a guide on how to install a Python scientific computing stack suitable for geospatial analysis on Raspberry Pi 3. The whole process takes only a few minutes. The Raspberry Pi 3 was announced two weeks ago with substantial improvements in … Read more