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Books on the topic 'NumpPy'

Author: Grafiati

Published: 28 June 2021

Last updated: 1 February 2022

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1

NumPy Cookbook. Birmingham: Packt Publishing, Limited, 2012.

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2

Łopieńska, Barbara. Stare numery. Londyn: Aneks, 1986.

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3

Ewa, Szymańska, ed. Stare numery. Warszawa: "Alfa", 1990.

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4

Zlot, Wiesława. Żywe numery II. Lublin: Państwowe Muzeum na Majdanku, 2006.

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5

Bressert, Eli. SciPy and NumPy: Optimizing & boosting your Python programming. Beijing: O'Reilly, 2012.

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6

NumPy 1.5: Beginner's guide : an action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples. Birmingham, U.K: Packt Publishing, 2011.

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7

Finance, United States Congress Senate Committee on. Nomination of Michael H. Moskow and David M. Nummy: Hearing before the Committee on Finance, United States Senate, One Hundred Second Congress, first session, on the nomination of Michael H. Moskow to be Deputy U.S. Trade Representative and David M. Nummy to be an Assistant Secretary of the Treasury, October 29, 1991. Washington: U.S. G.P.O., 1992.

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8

Makabrrryczne numery. Warszawa, Poland: Muza, 2002.

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9

Cakmak, Umit Mert, and Mert Cuhadaroglu. Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease. Packt Publishing, 2018.

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10

Idris, Ivan. NumPy Beginner's Guide - Second Edition. Packt Publishing, 2013.

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11

PhD, Travis E. Oliphant. Guide to NumPy: 2nd Edition. CreateSpace Independent Publishing Platform, 2015.

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12

Numpty A Guide To Lovable Thickoes. Prion, 2011.

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13

Numery : czas uciekać. Warszawa, Poland: Wydawnictwo Wilga, 2011.

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14

Staff, Running Press. Dumb Ways to Die: Numpty Figurine and Songbook. Running Press, 2016.

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15

Python Data Analytics: With Pandas, NumPy, and Matplotlib. Apress, 2018.

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16

What's Nummy Nadia? Christian Faith Publishing, Inc, 2018.

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17

Jan, Przewłocki, Sobolewicz Tadeusz 1923-, Widera Aleksander, and Stochowa Zofia, eds. Numery mówią: Wspomnienia więźniów KL Auschwitz. 3rd ed. Katowice: Wydawn. "Śląsk", 1986.

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18

McKinney, Wes. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media, 2017.

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19

Pajankar, Ashwin. Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts. Apress, 2017.

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20

(Illustrator), Sharon Snider, and Todd Reny (Illustrator), eds. Yummy Yummy Nummy Nummy, Should I Put This In My Tummy?: Tales Of Madison Faith. Beautiful Beginnings Youth, 2003.

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21

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib. Apress, 2018.

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22

Faulkner, Tim. Numby the Numbat: Tales from Tim Faulkner. Bauer Media Books, 2016.

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23

Paradigma verbi activi: Lingua numpu vulgo Nez-Percé. Desmet, I.T. [Idaho]: Typis Missionis SS. Cordis, Indis Convictoribus Collaborantibus, 1985.

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24

Paradigma verbi activi: Lingua numpu vulgo Nez-Percé. Desmet, I.T. [Idaho]: Typis Missionis SS. Cordis, Indis Convictoribus Collaborantibus, 1985.

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25

MacGregor, Kim. Yummy Yummy Nummy Nummy, Should I Put This In My Tummy?: Tales Of Madison Faith (Tales of Madison Faith). Beautiful Beginnings Youth, 2003.

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26

VELT, Amandine. Python pour la Data Science - Analysez vos données par la pratique avec NumPy, Pandas, Matplotlib et. ENI, 2020.

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27

Miller, Curtis. Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing. Packt Publishing, 2018.

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28

KRYSTAL, William. Python for Data Analysis: A Step by Step Guide for Beginners, NumPy, IPython, Data Wrangling with Pandas. Independently Published, 2020.

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29

Ruda, Marta. Syntactic representation of null arguments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815853.003.0010.

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Abstract:

Focusing on definite-argument drop, this chapter puts forward the hypothesis that null arguments are minimally represented as [nPn] and maximally as a fully-fledged pronoun ([DP D [PersP Pers [NumP Num [nPn]]]] or [PersP Pers [NumP Num [nPn]]]). The (un)availability of such arguments in a language is a consequence of independent features of its grammar: the lexical specification of its nominalizing n heads (esp. their association with phonetic material) and the avaialbility of post-syntactic type-shifting operations (esp. ι‎). The working of this approach is illustrated mostly with data from English, Polish, and Kashubian. The two latter languages are argued here to differ from English with respect to the inflectional properties of their nouns, as well as with respect to the mechanisms of NP interpretation. The chapter discusses the predictions thehypothesis makes about the identity of null arguments with respect to cross-linguistic variation in the patterns of argument omission.

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30

Smith, Django. Python Machine Learning: The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy. Independently published, 2019.

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31

Test, Jason. Python for Data Science: Guide to Computer Programming and Web Coding. Learn Machine Learning, Artificial Intelligence, NumPy and Pandas Packages for Data Analysis. Step-By-step Exercises Included. Independently Published, 2020.

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32

US GOVERNMENT. Nomination of Michael H. Moskow and David M. Nummy: Hearing before the Committee on Finance, United States Senate, One Hundred Second Congress, first session, ... of the Treasury, October 29, 1991 (S. hrg). For sale by the U.S. G.P.O., Supt. of Docs., Congressional Sales Office, 1992.

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