語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Computer Modelling." ]
切換:
標籤
|
MARC模式
|
ISBD
Python for MATLAB development = exte...
~
Danial, Albert.
FindBook
Google Book
Amazon
博客來
Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Python for MATLAB development/ by Albert Danial.
其他題名:
extend MATLAB with 300,000+ modules from the Python package index /
作者:
Danial, Albert.
出版者:
Berkeley, CA :Apress : : 2022.,
面頁冊數:
xxviii, 700 p. :ill., digital ;24 cm.
內容註:
1 Introduction -- 2 Installation -- 3 Language Basics -- 4 Data Containers -- 5 Dates and Times -- 6 Call Python Functions from MATLAB -- 7 Input and Output -- 8 Interacting with the File System -- 9 Interacting with the Operating System and External Executables -- 10 Object Oriented Programming -- 11 NumPy and SciPy -- 12 Plotting -- 13 Tables and Dataframes -- 14 High Performance Computing -- 15 Language Pitfalls -- Appendix A MATLAB/Python Recipe Index -- Appendix B Generating Sample Data with Faker -- Appendix C Finite Element Source Listing -- Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters -- Appendix E A Utility to Patch Cartopy to Use Requests.
Contained By:
Springer Nature eBook
標題:
Python (Computer program language) -
電子資源:
https://doi.org/10.1007/978-1-4842-7223-7
ISBN:
9781484272237
Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /
Danial, Albert.
Python for MATLAB development
extend MATLAB with 300,000+ modules from the Python package index /[electronic resource] :by Albert Danial. - Berkeley, CA :Apress :2022. - xxviii, 700 p. :ill., digital ;24 cm.
1 Introduction -- 2 Installation -- 3 Language Basics -- 4 Data Containers -- 5 Dates and Times -- 6 Call Python Functions from MATLAB -- 7 Input and Output -- 8 Interacting with the File System -- 9 Interacting with the Operating System and External Executables -- 10 Object Oriented Programming -- 11 NumPy and SciPy -- 12 Plotting -- 13 Tables and Dataframes -- 14 High Performance Computing -- 15 Language Pitfalls -- Appendix A MATLAB/Python Recipe Index -- Appendix B Generating Sample Data with Faker -- Appendix C Finite Element Source Listing -- Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters -- Appendix E A Utility to Patch Cartopy to Use Requests.
MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, artificial intelligence, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python solutions invoked directly from MATLAB The demonstrated techniques and explanations will help you solve your own challenging problems in MATLAB using open source Python modules. Python is the ultimate MATLAB Toolbox and this book is your guide to its use. You will: Find symbolic solutions to integrals, derivatives, and series summations with SymPy Overlay data on maps with Cartopy Solve mixed-integer linear programming problems with PuLP Accelerate computationally-intensive tasks with numba Run large computations in parallel with dask Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini.
ISBN: 9781484272237
Standard No.: 10.1007/978-1-4842-7223-7doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
729789
Python (Computer program language)
LC Class. No.: QA76.73.P98 / D35 2022
Dewey Class. No.: 005.133
Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /
LDR
:03020nmm a2200325 a 4500
001
2299408
003
DE-He213
005
20220311205614.0
006
m d
007
cr nn 008maaau
008
230324s2022 cau s 0 eng d
020
$a
9781484272237
$q
(electronic bk.)
020
$a
9781484272220
$q
(paper)
024
7
$a
10.1007/978-1-4842-7223-7
$2
doi
035
$a
978-1-4842-7223-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
$b
D35 2022
072
7
$a
UMX
$2
bicssc
072
7
$a
COM051360
$2
bisacsh
072
7
$a
UMX
$2
thema
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
D183 2022
100
1
$a
Danial, Albert.
$3
3596839
245
1 0
$a
Python for MATLAB development
$h
[electronic resource] :
$b
extend MATLAB with 300,000+ modules from the Python package index /
$c
by Albert Danial.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
xxviii, 700 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1 Introduction -- 2 Installation -- 3 Language Basics -- 4 Data Containers -- 5 Dates and Times -- 6 Call Python Functions from MATLAB -- 7 Input and Output -- 8 Interacting with the File System -- 9 Interacting with the Operating System and External Executables -- 10 Object Oriented Programming -- 11 NumPy and SciPy -- 12 Plotting -- 13 Tables and Dataframes -- 14 High Performance Computing -- 15 Language Pitfalls -- Appendix A MATLAB/Python Recipe Index -- Appendix B Generating Sample Data with Faker -- Appendix C Finite Element Source Listing -- Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters -- Appendix E A Utility to Patch Cartopy to Use Requests.
520
$a
MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, artificial intelligence, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python solutions invoked directly from MATLAB The demonstrated techniques and explanations will help you solve your own challenging problems in MATLAB using open source Python modules. Python is the ultimate MATLAB Toolbox and this book is your guide to its use. You will: Find symbolic solutions to integrals, derivatives, and series summations with SymPy Overlay data on maps with Cartopy Solve mixed-integer linear programming problems with PuLP Accelerate computationally-intensive tasks with numba Run large computations in parallel with dask Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini.
630
0 0
$a
MATLAB.
$3
532595
650
0
$a
Python (Computer program language)
$3
729789
650
1 4
$a
Python.
$3
3201289
650
2 4
$a
Programming Language.
$3
3538935
650
2 4
$a
Computer Modelling.
$3
3538541
650
2 4
$a
Computer Science.
$3
626642
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-7223-7
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9441300
電子資源
11.線上閱覽_V
電子書
EB QA76.73.P98 D35 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入