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英文 (15)

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Mailund, Thomas.

概要

作品:	1 作品在 15 項出版品 1 種語言

書目資訊

Functional programming in R 4advanced statistical programming for data science, analysis, and finance / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

Functional programming in Radvanced statistical programming for data science, analysis and finance / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

Pointers in C programminga modern approach to memory management, recursive data structures, strings, and arrays / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

Beginning data science in Rdata analysis, visualization, and modelling for the data scientist / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

String algorithms in Cefficient text representation and search / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

Functional data structures in Radvanced statistical programming in R / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

R data science quick referencea pocket guide to APIs, libraries, and packages / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

Beginning data science in R 4data analysis, visualization, and modelling for the data scientist / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

The joys of hashinghash table programming with C / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

R 4 data science quick referencea pocket guide to APIs, libraries, and packages / by: Mailund, Thomas.; SpringerLink (Online service) (書目-電子資源)

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主題

Software Engineering. Data structures (Computer science) Domain-specific programming languages. Computing Methodologies. Application program interfaces (Computer software) Computer algorithms. Computer Science, general. Python. Hashing (Computer science) Programming Language. Quantitative research. Data-driven Science, Modeling and Theory Building. Programming Techniques. Data Structures. Algorithm Analysis and Problem Complexity. Professional Computing. Python (Computer program language) Programming Languages, Compilers, Interpreters. R (Computer program language) Algorithms. Data Mining and Knowledge Discovery. Big Data. Document markup languages. Functional programming (Computer science) Mathematical statistics C (Computer program language) Web Development. Machine Learning. Computer Science. Probability and Statistics in Computer Science. Markdown (Document markup language) Object-oriented programming (Computer science) Open Source. Computer programming. Statistics Compilers and Interpreters.

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