44,29 €
Matplotlib for Python Developers
Matplotlib for Python Developers
  • Išparduota
Matplotlib for Python Developers
Matplotlib for Python Developers
El. knyga:
44,29 €
Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box re…
  • Leidėjas:
  • Metai: 2009
  • Puslapiai: 308
  • ISBN: 9781847197917
  • ISBN-10: 1847197914
  • ISBN-13: 9781847197917
  • Formatas: ACSM ?
  • Kalba: Anglų

Matplotlib for Python Developers (el. knyga) (skaityta knyga) | knygos.lt

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Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results.

44,29 €
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  • Autorius: Sandro Tosi
  • Leidėjas:
  • Metai: 2009
  • Puslapiai: 308
  • ISBN: 9781847197917
  • ISBN-10: 1847197914
  • ISBN-13: 9781847197917
  • Formatas: ACSM ?
  • Kalba: Anglų

Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results.

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