MIPS Technologies




MIPS Technologies, anteriormente denominada de MIPS Computer Systems, é uma das mais conhecidas desenvolvedoras da arquitetura MIPS e uma pioneira no desenvolvimento das CPUs RISC.


MIPS Computer Systems Inc. foi fundada em 1984 por um grupo de pesquisadores da Universidade de Stanford que incluia John L. Hennessy.


Empresa criadora dos processadores MIPS, que foram usados em estações de trabalho SGI e em alguns videogames.



Ligações externas |


  • Página da MIPS Technologies



-

Popular posts from this blog

404 Error Contact Form 7 ajax form submitting

Image
0 The contact form does not work, and affects loading after one try. The chrome console shows the error message: POST http://example.com/wp-json/contact-form-7/v1/contact-forms/50/feedback 404 (Not Found) send @ jquery.js?ver=1.12.4:4 ajax @ jquery.js?ver=1.12.4:4 wpcf7.submit @ scripts.js?ver=5.0.3:346 (anonymous) @ scripts.js?ver=5.0.3:53 dispatch @ jquery.js?ver=1.12.4:3 r.handle @ jquery.js?ver=1.12.4:3 How to solve this issue? thanks in advance javascript wordpress contact-form-7 share | improve this question edited Jul 17 '18 at 5:39 Kiran Shahi 4,745 3 16 43
Read more

How to know if a Active Directory user can login interactively

Image
1 I would like to know if and how is it possible to know if a AD user can login interactively (on a server) in a domain. I need to know if I can find it out using a LDAP search. Thanks. windows active-directory login user-permissions user-profile share | improve this question edited 1 hour ago yagmoth555 ♦ 11.6k 3 17 42 asked 1 hour ago Luigi Luigi 6 1 New contributor
Read more

TypeError: fit_transform() missing 1 required positional argument: 'X'

Image
0 I am trying to do Feature Scaling in a dataset, but I get an error and have no idea how to proceed: > Traceback (most recent call last): > > File "<ipython-input-10-71bea414b4d0>", line 22, in <module> > x_train = sc_X.fit_transform(x_train) > > TypeError: fit_transform() missing 1 required positional argument: 'X' and here is my code: import pandas as pd # Importing the dataset dataset = pd.read_csv('Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 3].values # Taking care of missing data from sklearn.preprocessing import Imputer imputer = Imputer(missing_values="NaN", strategy="mean", axis=0) imputer = Imputer.fit(imputer,X[:,1:3]) X[:, 1:3] = Imputer.transform(imputer,X[
Read more