odbc hash table , a flat XML file with no hierarchy or nested element is ... can be written to an .xsd file using the WriteXmlSchema method:.

Mapping DataSet to XML and backwards - DotNetSlackers

dotnetslackers.com › Recent Articles › ADO.NET

Sep 10, 2007 - In this example, a flat XML file with no hierarchy or nested element is ... can be written to an .xsd file using the WriteXmlSchema method:.

ODBC engine

http://support.sas.com/documentation/cdl/en/acreldb/63647/HTML/default/viewer.htm#a001355231.htm

LIBNAME-options

define how SAS processes DBMS objects. Some LIBNAME options can enhance performance, while others determine locking or naming behavior. The following table describes the LIBNAME options for SAS/ACCESS Interface to ODBC, with the applicable default values. For more detail about these options, seeLIBNAME Options for Relational Databases.

Mapping DataSet to XML and backwards - DotNetSlackers

dotnetslackers.com › Recent Articles › ADO.NET

Sep 10, 2007 - In this example, a flat XML file with no hierarchy or nested element is ... can be written to an .xsd file using the WriteXmlSchema method:.

WriteXmlSchema Method

https://docs.oracle.com/.../49c260c6-4452-8c72-988a...

Oracle Corporation

WriteXmlSchema(Stream). Writes the current data structure of the ... Writes the current data structure of the DataTable as an XML schema to the specified file.

Mapping DataSet to XML and backwards - DotNetSlackers

dotnetslackers.com › Recent Articles › ADO.NET

Sep 10, 2007 - In this example, a flat XML file with no hierarchy or nested element is ... can be written to an .xsd file using the WriteXmlSchema method:.

WriteXmlSchema Method

https://docs.oracle.com/.../49c260c6-4452-8c72-988a...

Oracle Corporation

WriteXmlSchema(Stream). Writes the current data structure of the ... Writes the current data structure of the DataTable as an XML schema to the specified file.

Package 'RODBC' - CRAN

https://cran.r-project.org/web/packages/RODBC/RODBC.pdf

R

by B Ripley - ‎2015 - ‎Cited by 2 - ‎Related articles

Jun 29, 2015 - Description. Package RODBC implements ODBC database connectivity. .... Controls case changes for different DBMS engines. See 'Details'.

odbcConnect {RODBC} | inside-R | A Community Site for R

www.inside-r.org › Package reference › rodbc

... to odbcDriverConnect . case: Controls case changes for different DBMS engines. See 'Details'. channel: RODBC connection object returned by odbcConnect .

Choosing An SQL Engine For Analytics | R-bloggers

www.r-bloggers.com/choosing-an-sql-engine-for-analytics/

R bloggers

Mar 9, 2009 - Choosing an SQL Engine for Analytics ... I know for a fact that writing back to SQL Server through the R ODBC package (RODBC) is like ...

Complete Guide to R for DataDirect ODBC/JDBC

https://www.progress.com/.../complete-guide-to-r-for-d...

Progress Software

Nov 13, 2015 - This comprehensive guide to R for DataDirect ODBC/JDBC explains what R is, breaking down into easy steps how it can be leveraged for data ...

Making Data Analytics Simpler: SQL Server and R

https://www.simple-talk.com/.../making-data-analytics-simpler-sql-server...

 Rating: 5 - ‎56 votes

Apr 28, 2015 - R does not have a storage engine of its own other than the file system, however it ... To install and load the RODBC package, do the following:.

R database interfaces - Burns Statistics

www.burns-stat.com/r-database-interfaces/

Feb 14, 2013 - RSQLite : This package embeds the SQLite database engine in R and provides an ... TSodbc : TSodbc provides an ODBC interface for TSdbi .

Newest 'rodbc' Questions - Stack Overflow

stackoverflow.com/questions/tagged/rodbc

RODBC provides an ODBC database interface for R. The CRAN package provides .... which includes R engine on it and installed SQL Server ODBC Driver 11.

python https://www.jetbrains.com/help/pycharm/2016.1/creating-and-running-your-first-python-project.html

https://www.jetbrains.com/help/pycharm/2016.1/creating-and-running-your-first-python-project.html

python hash

Python Hashing (Hash tables and hashlib) 

 

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Hash Tables

When we talk about hash tables, we're actually talking about dictionary. While an array can be used to construct hash tables, array indexes its elements using integers. However, if we want to store data and use keys other than integer, such as 'string', we may want to use dictionary.

Dictionaries in Python are implemented using hash tables. It is an array whose indexes are obtained using a hash function on the keys.

We declare an empty dictionary like this:

>>> D = {}

Then, we can add its elements:

>>> D['a'] = 1
>>> D['b'] = 2
>>> D['c'] = 3
>>> D
{'a': 1, 'c': 3, 'b': 2}

It's a structure with (key, value) pair:

D[key] = value

The string used to "index" the hash table D is called the "key". To access the data stored in the table, we need to know the key:

>>> D['b'] 
2

How we loop through the hash table?

>>> for k in D.keys():
...     print D[k]
... 
1
3
2

If we want to print the (key, value) pair:

>>> for k,v in D.items():
...     print k,':',v
... 
a : 1
c : 3
b : 2