Nipun Sadvilkar nipunsadvilkar

ALTER TABLE `analytics` ADD `id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY

SELECT count(distinct encounter_id) FROM `analytics`

CREATE INDEX registration_no ON analytics(registration_no(30));

CREATE INDEX subsection ON analytics(subsection(50));

curl -vX POST http://server/api/v1/places.json -d @testplace.json \
--header "Content-Type: application/json"

curl -vX REQUEST url -d @filepath -H "Content-Type:application/json"

Installation of Jupyterhub on remote server

Linux Anaconda Installation (Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. )
- Go to : Continuum Analytics - Anaconda Downloads
- Under Linux Anaconda Installation (copy link of 64 bit):
  On Terminal

Generally java source code is arranged as like:

/bin - empty folder that will contain compiled .class files
/lib - contains third party .jar files
/src - contains .java source files

Refer: http://www.sergiy.ca/how-to-compile-and-launch-java-code-from-command-line/

so for our setup let's setup environment first using following steps

create a new repository on the command line

echo "# sample_git_tweak" >> README.md
git init
git add README.md
git commit -m "first commit"
git remote add origin git@github.com:nipunsadvilkar/sample_git_tweak.git
git push -u origin master

Superset (previously known as Caravel):

1) Responsiveness of Dashboard:

On Desktop:

Formats

Python docstrings can be written following several formats as the other posts showed. However the default Sphinx docstring format was not mentioned and is based on reStructuredText (reST). You can get some information about the main formats in that tuto.

Note that the reST is recommended by the PEP 287

There follows the main used formats for docstrings.

- Epytext

Formats

Python docstrings can be written following several formats as the other posts showed. However the default Sphinx docstring format was not mentioned and is based on reStructuredText (reST). You can get some information about the main formats in that tuto.

Note that the reST is recommended by the PEP 287

There follows the main used formats for docstrings.

	#unique number of values in a DataFrame column
	df[column_name].nunique()

	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	(http://stackoverflow.com/questions/17071871/select-rows-from-a-dataframe-based-on-values-in-a-column-in-pandas)

	# __author__: kapoorabhish, nipunsadvilkar

	import requests

	user_name = "uname"
	password = "*******"
	file_url = "url"

	r = requests.post(file_url, data={"umlsuser": user_name, "umlspw": password},
	stream=True)