Titlebook: Numerical Python in Astronomy and Astrophysics; A Practical Guide to Wolfram Schmidt,Marcel V?lschow Textbook 2021 Springer Nature Switzerl

CT951

書目名稱Numerical Python in Astronomy and Astrophysics影響因子(影響力)




書目名稱Numerical Python in Astronomy and Astrophysics影響因子(影響力)學(xué)科排名




書目名稱Numerical Python in Astronomy and Astrophysics網(wǎng)絡(luò)公開度




書目名稱Numerical Python in Astronomy and Astrophysics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Python in Astronomy and Astrophysics被引頻次




書目名稱Numerical Python in Astronomy and Astrophysics被引頻次學(xué)科排名




書目名稱Numerical Python in Astronomy and Astrophysics年度引用




書目名稱Numerical Python in Astronomy and Astrophysics年度引用學(xué)科排名




書目名稱Numerical Python in Astronomy and Astrophysics讀者反饋




書目名稱Numerical Python in Astronomy and Astrophysics讀者反饋學(xué)科排名

服從

COMA

antedate

Computing and Displaying Data,le variables to evaluate an arithmetic expression for many different values without programming a loop. In the first section, we combine the power of NumPy and Astropy and compute the positions of objects on the celestial sphere. Moreover, we introduce Matplotlib to produce plots from array data. Fu

MOTTO

保守

Solving Differential Equations,ow us to numerically solve many interesting problems, for instance, a body falling through the atmosphere, two- and three-body problems, a simple model for galaxy collisions, and the expansion of the Universe. Apart from learning how to deal with numerical errors, mastering multi-dimensional arrays

完全

紅腫

Distribution

Astronomical Data Analysis,GAIA. Naturally, file input and output are an important prerequisite for data processing. We conclude with a brief introduction to convolutional neural networks and their application to image data and spectra.

Torrid