ANIMATING PLOTS A GUIDE TO PYTHON'S POWER

Authors

  • Qurbonova Dilnora Nuriddinovna

Keywords:

Kalit so’zlar: numpy, matplotlib, animatsiya, python, vektor, grafika, funksiya, algoritm

Abstract

Annotatsiya: Ushbu maqolada biz python dasturida qanday animatsiya dasturlarini tuzish nafaqat 2D fazoda balki 3D fazodagi animatsiyalarni tayyorlashni ko’rsatib o’tdik. Biz har bir codelarimizni soddalik bilan tushuntirib o’tganmiz.

References

Sandro Tosi (2009). "Matplotlib for Python Developers". Packt Publishing Ltd.

Nicolas P. Rougier (November 2021). "Scientific Visualization: Python + Matplotlib". HAL Id: hal-03427242.

Dr. Pooja. "Data Visualization with Python: Exploring Matplotlib, Seaborn, and Bokeh for Interactive Visualizations". BPB Publications, 2023.

Jake VanderPlas. "Python Data Science Handbook: Essential Tools for Working with Data". "O'Reilly Media, Inc.", 2016

Утаева Феруза Xолмаматовна Т.Ю. Х. и др. BUXORO TO’QIMACHILIK KOMBINATIDA MUTAXASSISLARNING O’RNI VA OILALARNING ISH BILAN TA’MINLANISHI: Utayeva Feruza Xolmamatovna, Buxoro davlat universiteti dotsenti, Teshayeva Yulduz Hakim qizi, Buxoro davlat universiteti 2-kurs magistr //Образование и инновационные исследования международный научно-методический журнал. – 2023. – №. 4. – С. 33-39.

Webpages:

https://numpy.org/

https://matplotlib.org/

https://www.w3schools.com/python/matplotlib_pyplot.asp

https://www.geeksforgeeks.org/using-matplotlib-for-animations/

https://github.com/Dilnora05/animation_python

Published

2024-04-29

How to Cite

Qurbonova Dilnora Nuriddinovna. (2024). ANIMATING PLOTS A GUIDE TO PYTHON’S POWER. ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 44(4), 97–102. Retrieved from https://newjournal.org/01/article/view/13253