Julia 1.6.1 Documentationsomeone or something? . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Why don't you compile Matlab/Python/R/… code to Julia? . . . . . . . . . . . . . . . . . . . . . 411 37.2 Sessions and the REPL . . . 428 38 Noteworthy Differences from other Languages 429 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage0 码力 | 1397 页 | 4.59 MB | 1 年前3
Julia 1.7.0 DEV Documentationsomeone or something? . . . . . . . . . . . . . . . . . . . . . . . . . . . 413 Why don't you compile Matlab/Python/R/… code to Julia? . . . . . . . . . . . . . . . . . . . . . 413 37.2 Sessions and the REPL . . . 430 38 Noteworthy Differences from other Languages 431 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage0 码力 | 1399 页 | 4.59 MB | 1 年前3
Julia 1.6.0 DEV Documentationsomeone or something? . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Why don't you compile Matlab/Python/R/… code to Julia? . . . . . . . . . . . . . . . . . . . . . 411 37.2 Sessions and the REPL . . . 428 38 Noteworthy Differences from other Languages 429 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage0 码力 | 1383 页 | 4.56 MB | 1 年前3
Julia 1.6.0 Documentationsomeone or something? . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Why don't you compile Matlab/Python/R/… code to Julia? . . . . . . . . . . . . . . . . . . . . . 411 37.2 Sessions and the REPL . . . 428 38 Noteworthy Differences from other Languages 429 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage0 码力 | 1397 页 | 4.59 MB | 1 年前3
Go vs. GoPlus(Go+)(1995) • Ruby (1995) 脚本语言是集中性大爆发的 大概也就是在 Java 出现的那个年代 数据科学语言发展史 (TOP50) • SQL (1973) • SAS (1976) • MATLAB (1984) • Python (1991) • R (2000) • Julia (2009) • Go+ (2020) 数据科学的发展古老而漫长 但开始进入加速期 语言发展史的启发 • 数据科学是计算机的最初需求,历史悠久但进步缓慢 -因为数据大爆发的时代一直没有到来 02 数据科学的发展 数据科学的原始时期:数学软件时代 • SQL (1973) • SAS (1976) • MATLAB (1984) • Excel (1985) • Limited Domains (有限领域) ,比如 BI (Business Intelligence) • Limited Data (有限数据规模) 时代 • 从前 -Limited Domains (有限领域): 比如 BI (Business Intelligence) -Limited Data (有限数据规模): 比如 Excel、Matlab • 未来 -Full Domains (全领域): 智能应用 (Intelligent Application) • 典型代表:抖音、快手 -Big Data (大规模数据) -Any0 码力 | 54 页 | 1.82 MB | 1 年前3
Julia v1.6.6 Documentation. . . 408 38 Noteworthy Differences from other Languages 410 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage following languages, then you should start by reading the section on noteworthy differences from MATLAB, R, Python, C/C++ or Common Lisp. This will help you avoid some common pitfalls since Julia differs0 码力 | 1324 页 | 4.54 MB | 1 年前3
Julia 1.6.5 Documentation. . . 408 38 Noteworthy Differences from other Languages 410 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage following languages, then you should start by reading the section on noteworthy differences from MATLAB, R, Python, C/C++ or Common Lisp. This will help you avoid some common pitfalls since Julia differs0 码力 | 1325 页 | 4.54 MB | 1 年前3
Julia 1.6.7 Documentation. . . 408 38 Noteworthy Differences from other Languages 410 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage following languages, then you should start by reading the section on noteworthy differences from MATLAB, R, Python, C/C++ or Common Lisp. This will help you avoid some common pitfalls since Julia differs0 码力 | 1324 页 | 4.54 MB | 1 年前3
Julia 1.6.4 Documentation. . . 408 38 Noteworthy Differences from other Languages 410 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage following languages, then you should start by reading the section on noteworthy differences from MATLAB, R, Python, C/C++ or Common Lisp. This will help you avoid some common pitfalls since Julia differs0 码力 | 1324 页 | 4.54 MB | 1 年前3
Julia 1.6.2 Documentation. . . 408 38 Noteworthy Differences from other Languages 410 38.1 Noteworthy differences from MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 38.2 Noteworthy differences from ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general program- ming. To achieve this, Julia builds upon the lineage following languages, then you should start by reading the section on noteworthy differences from MATLAB, R, Python, C/C++ or Common Lisp. This will help you avoid some common pitfalls since Julia differs0 码力 | 1324 页 | 4.54 MB | 1 年前3
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