Je izdelek predrag? Nastavi opomnik za ceno in obvestimo te, ko pade!
LOKACIJE TRGOVIN
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumP...
Preberi cel opis
Ceneje.si ti olajša spletno nakupovanje ter pomaga pri izbiri najboljše ponudbe. Shopper's Mind Slovenija s podelitvijo oznake CERTIFIED SHOP® potrjuje, da je Premium trgovec vreden zaupanja in da je spletna trgovina skladna s standardi EU.
Cena z dostavo
28,63 €
Dobavljivost
Na zalogi. Dobavljivo v 9 - 13 dneh od dneva naročila.
Cena je bila osvežena danes ob 10:50.
V vsakem primeru na strani trgovine preverite ali je aktualna cena enaka navedeni na tej strani.
Ponudba trgovine Libristo.si za izdelek Numerical Python. Pravilnost cene in podatkov preveri na spletni strani trgovine.
Parametri izdelka
Numerical Python
Glavni parametri
Pomembna informacija
Ti podatki so zbrani z uradnih strani izdelkov. Preden nadaljujete do končnega nakupa, preverite podrobnosti. Če opazite težavo, jo lahko sporočite tukaj.
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling, and machine learning.What You'll LearnWork with vectors and matrices using NumPyReview Symbolic computing with SymPyPlot and visualize data with MatplotlibPerform data analysis tasks with Pandas and SciPyUnderstand statistical modeling and machine learning with statsmodels and scikit-learnOptimize Python code using Numba and CythonWho This Book Is ForDevelopers who want to understand how to use Python and its ecosystem of libraries for scientific computing and data analysis.
![PSYCHOLOGY OF MONEY [DLX LTD ED]](https://img.cdn-cnj.si/img/100/100/64/64Kc78lIFAXP.webp)
