Help
RSS
API
Feed
Maltego
Contact
Domain > adlersantos.github.io
×
More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2018-03-12
151.101.45.147
(
ClassC
)
2025-03-07
185.199.111.153
(
ClassC
)
2025-04-20
185.199.109.153
(
ClassC
)
2025-08-04
185.199.110.153
(
ClassC
)
2025-11-13
185.199.108.153
(
ClassC
)
Port 80
HTTP/1.1 200 OKConnection: keep-aliveContent-Length: 18991Server: GitHub.comContent-Type: text/html; charsetutf-8permissions-policy: interest-cohort()Last-Modified: Fri, 30 Mar 2018 23:49:34 GMTAccess !DOCTYPE html>html> head> meta charsetutf-8> meta http-equivX-UA-Compatible contentIEedge> meta nameviewport contentwidthdevice-width, initial-scale1> title>Writings/title> meta namedescription contentData Scientist and Software Engineer> !-- Google Fonts loaded here depending on setting in _data/options.yml true loads font, blank does not--> link href//fonts.googleapis.com/css?familyLato:400,400italic relstylesheet typetext/css> !-- Load up MathJax script if needed ... specify in /_data/options.yml file--> script typetext/javascript src//cdn.mathjax.org/mathjax/latest/MathJax.js?configTeX-AMS-MML_HTMLorMML>/script> link relstylesheet typetext/css href/css/tufte.css> !-- link relstylesheet typetext/css href/css/print.css mediaprint> --> link relcanonical href/>/head> body classfull-width> !--- Header and nav template site-wide -->header> nav classgroup> a href/>img classbadge src/assets/img/avatar.png altCH>/a> a classactive href/ classactive>Writings/a> a href/about/>About Adler/a> a href/css/print.css>/a> /nav>/header> h1>Writings/h1> article> ul classcontent-listing > li classlisting> hr classslender> a href/articles/18/transforming-python-list-to-spark-dataframe>h3 classcontrast>Transforming Python Lists into Spark Dataframes/h3>/a> !-- br>span classsmaller>March 30, 2018/span> br/> --> div>p>Data represented as dataframes are generally much easier to transform, filter, or write to a target source. In Spark, loading or querying data from a source will automatically be loaded as a dataframe./p>p>Here’s an example of loading, querying, and writing data using PySpark and SQL:/p>div classlanguage-python highlighter-rouge>pre classhighlight>code>span classkn>import/span> span classnn>pyspark/span>span classc># Define your SparkContext and SparkSession/span>span classn>sc/span> span classo>/span> span classn>pyspark/span>span classo>./span>span classn>context/span>span classo>./span>span classn>SparkContext/span>
Port 443
HTTP/1.1 200 OKConnection: keep-aliveContent-Length: 18991Server: GitHub.comContent-Type: text/html; charsetutf-8permissions-policy: interest-cohort()Last-Modified: Fri, 30 Mar 2018 23:49:34 GMTAccess !DOCTYPE html>html> head> meta charsetutf-8> meta http-equivX-UA-Compatible contentIEedge> meta nameviewport contentwidthdevice-width, initial-scale1> title>Writings/title> meta namedescription contentData Scientist and Software Engineer> !-- Google Fonts loaded here depending on setting in _data/options.yml true loads font, blank does not--> link href//fonts.googleapis.com/css?familyLato:400,400italic relstylesheet typetext/css> !-- Load up MathJax script if needed ... specify in /_data/options.yml file--> script typetext/javascript src//cdn.mathjax.org/mathjax/latest/MathJax.js?configTeX-AMS-MML_HTMLorMML>/script> link relstylesheet typetext/css href/css/tufte.css> !-- link relstylesheet typetext/css href/css/print.css mediaprint> --> link relcanonical href/>/head> body classfull-width> !--- Header and nav template site-wide -->header> nav classgroup> a href/>img classbadge src/assets/img/avatar.png altCH>/a> a classactive href/ classactive>Writings/a> a href/about/>About Adler/a> a href/css/print.css>/a> /nav>/header> h1>Writings/h1> article> ul classcontent-listing > li classlisting> hr classslender> a href/articles/18/transforming-python-list-to-spark-dataframe>h3 classcontrast>Transforming Python Lists into Spark Dataframes/h3>/a> !-- br>span classsmaller>March 30, 2018/span> br/> --> div>p>Data represented as dataframes are generally much easier to transform, filter, or write to a target source. In Spark, loading or querying data from a source will automatically be loaded as a dataframe./p>p>Here’s an example of loading, querying, and writing data using PySpark and SQL:/p>div classlanguage-python highlighter-rouge>pre classhighlight>code>span classkn>import/span> span classnn>pyspark/span>span classc># Define your SparkContext and SparkSession/span>span classn>sc/span> span classo>/span> span classn>pyspark/span>span classo>./span>span classn>context/span>span classo>./span>span classn>SparkContext/span>
View on OTX
|
View on ThreatMiner
Please enable JavaScript to view the
comments powered by Disqus.
Data with thanks to
AlienVault OTX
,
VirusTotal
,
Malwr
and
others
. [
Sitemap
]