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Python 2021-10-28 07:12:06
elasticsearch python
# to install python -m pip install elasticsearch from datetime import datetime from elasticsearch import Elasticsearch es = Elasticsearch() doc = { 'author': 'kimchy', 'text': 'Elasticsearch: cool. bonsai cool.', 'timestamp': datetime.now()... Add solution -
Html 2021-10-26 17:47:11
what is redis
Redis is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, s... Add solution -
Other 2021-10-25 02:48:14
science ipsum
There is no strife, no prejudice, no national conflict in outer space as yet. Its hazards are hostile to us all. Its conquest deserves the best of all mankind, and its opportunity for peaceful cooperation many never come again. But why, some say, the moon... Add solution -
Java 2021-10-24 22:47:05
java regex matches get index
import java.util.regex.Matcher; import java.util.regex.Pattern; public class Main { public static void main(String[] argv) throws Exception { CharSequence inputStr = "abbabcd"; String patternStr = "(a(b*))+(c*)"; Patt... Add solution -
Python 2021-10-23 19:26:18
create tuples python
# A tuple is a sequence of immutable Python objects. Tuples are # sequences, just like lists. The differences between tuples # and lists are, the tuples cannot be changed unlike lists and # tuples use parentheses, whereas lists use square brackets. tup1 =... Add solution -
Python 2021-10-21 15:44:12
feature_importances_ sklearn
print(__doc__) import numpy as np import matplotlib.pyplot as plt from sklearn.datasets import make_classification from sklearn.ensemble import ExtraTreesClassifier # Build a classification task using 3 informative features X, y = make_classification(n... Add solution -
Other 2021-10-19 01:02:05
ml for price forecasting rstudio
# Make Sessionnet = tf.Session()# Run initializernet.run(tf.global_variables_initializer())# Setup interactive plotplt.ion()fig = plt.figure()ax1 = fig.add_subplot(111)line1, = ax1.plot(y_test)line2, = ax1.plot(y_test*0.5)plt.show()# Number of epochs and ... Add solution
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