Numeric Python / Nejlevnější knihy
Numeric Python

Kód: 50027757

Numeric Python

Autor Bernd Klein

- Basics of solving numerical problems with Python- Processing large amounts of data with NumPy, e.g. in machine learning- Data visualization with Matplotlib- Ideal for people in science, engineering and data analysis- Ideal for s ... celý popis

1294


Skladem u dodavatele
Odesíláme za 3-6 dnů
Přidat mezi přání

Mohlo by se vám také líbit

Darujte tuto knihu ještě dnes
  1. Objednejte knihu a zvolte Zaslat jako dárek.
  2. Obratem obdržíte darovací poukaz na knihu, který můžete ihned předat obdarovanému.
  3. Knihu zašleme na adresu obdarovaného, o nic se nestaráte.

Více informací

Více informací o knize Numeric Python

Nákupem získáte 129 bodů

Anotace knihy

- Basics of solving numerical problems with Python- Processing large amounts of data with NumPy, e.g. in machine learning- Data visualization with Matplotlib- Ideal for people in science, engineering and data analysis- Ideal for switching from Matlab to Python- Introduction based on many examples and practical cases as well as sample solutions- Your exclusive advantage: E-Book inside when purchasing the printed bookThis book teaches the Python basics for solving numerical problems in the areas of data science and machine learning.The first part is about NumPy as the basis for numerical programming with Python. Arrays are covered in detail as the central data type for everything, numerical operations, broadcasting and Ufuncs. A separate chapter is devoted to statistics and probability, as well as Boolean masking and file handling.Data visualization with Matplotlib is the focus of the second part. First of all, it's about the terminology of Matplotlib. Line charts, bar charts, histograms and contour plots are covered.The third part is about Pandas with its Series and DataFrames. Dealing with a wide variety of file formats such as Excel, CSV and JSON as well as incomplete data and NaN is also covered. The possibilities of data visualization directly with Pandas are shown.The fourth part offers example applications of the material learned, such as a budget book and a practical income surplus calculation. There is also an introduction to image processing techniques here.Almost each of the 32 chapters contains additional exercises to test and deepen what you have learned; the associated solutions are summarized in the fifth part.FROM THE CONTENT //NumPy:- Numerical operations on multidimensional arrays- Broadcasting and UfuncsMatplotlib:- Discrete and continuous graphs- Bar and column charts, histograms, contour plotsPandas:- Series and DataFrames- Work with Excel, CSV and JSON files- Incomplete data (NaN)- Data visualizationPractical examples:- Image processing- Budget book and income surplus statement

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer programming / software development Program concepts / learning to program

1294

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 46896 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: