1000 loops each)\n"]}],"source":["%%timeit -n 1000\n","u1 = np.random.randn(100)\n","do_loop(u1)"]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info
比如语言的用途，R以统计和可视化为主，python用处就多了，就突然发现好难，傻傻的我还想学python搞机器...
"name":"python3"},"language_info": {"codemirror_mode": {"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.3"}...
当然，Python也有闭包，Python也有pandas可以做类似R中的数据表操作，但是Python兼具面向对象和函数式的特点...
Unclassified [#IABV2_LABEL_PURPOSES#] [#IABV2_LABEL_FEATURES#] [#IABV2_LABEL_PARTNERS#] 0 Pythonor R best for datascience? easy to learn dataScience 23rd Mar 2017, 3:15 PM Ismail pe 3 Réponses Répondre + 2 I would recommend R ...
One language isn’t better than the other—it all depends on your use case and the questions you’re trying to answer: What should I use for machine learning? I need a fast solution, so should I use Python or R? Python vs. R for Data Analysis At DataCamp, we often get emails from...
What is the difference between R and Python? Python is a general-purpose programming language, developed to handle a wide range of tasks from data science to web development, making it highly versatile and popular for various applications. R, on the other hand, was created for statistical analy...
Compare R & Python Explain the data import in R language. Explain how to communicate the outputs of data analysis using R language. Difference between library () and require () functions in R language. What is R?Show More R is an open-source programming language that is used for a vari...
Although R vs Python is popular for a similar purpose, i.e. data analysis and machine learning, both languages have different features. Moreover, each language offers different advantages and disadvantages. Nevertheless, both R Programming vs Python are popular choices in the market; let us discus...
Python has clear syntax and is a general-purpose language. However, R was created by statisticians and has its unique lingo. R R has undergone two decades of development by statisticians and academics. Currently, R has one of the most robust ecosystems for data analysis. There are ...