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For 2023 (and 2024 ...) - we are now fully retired from IT training.
We have made many, many friends over 25 years of teaching about Python, Tcl, Perl, PHP, Lua, Java, C and C++ - and MySQL, Linux and Solaris/SunOS too. Our training notes are now very much out of date, but due to upward compatability most of our examples remain operational and even relevant ad you are welcome to make us if them "as seen" and at your own risk.

Lisa and I (Graham) now live in what was our training centre in Melksham - happy to meet with former delegates here - but do check ahead before coming round. We are far from inactive - rather, enjoying the times that we are retired but still healthy enough in mind and body to be active!

I am also active in many other area and still look after a lot of web sites - you can find an index ((here))
example of SQLite using a local database file through SQLalchemy

Here's an example of SQLite using a local database file through SQLalchemy. The SQL statements are hidden from the user - that's the "Object to Relation Mapping" - although you can ask what's going on by runing my program with a -v option. ... example program source [here], seeding data download from [here].

We start by seeing if the database file exists:
  database = "stations.db"
  populated = os.path.exists(database)

So that we only have to populate the tables if they don't exist (we have a seeding data file).

Here's output from a typical run:
  WomanWithCat:flask grahamellis$ python orm_sqlite
  Station (code='MKM', postcode='SN12 8BN', footfall='23930', fullname='Melksham')
  (u'TEA', 8, u'Tees-Side Airport')
  (u'SPP', 12, u'Shippea Hill')
  (u'RDS', 26, u'Reddish South')
  (u'BYL', 40, u'Barry Links')
  (u'COE', 42, u'Coombe')
  (u'BRC', 64, u'Breich')
  (u'BUC', 80, u'Buckenham')
  (u'PIL', 88, u'Pilning')
  (u'GOF', 90, u'Golf Street')
  (u'DTN', 110, u'Denton')
  (u'KTL', 120, u'Kirton Lindsey')
  (u'ABC', 138, u'Altnabreac')
  (u'KIL', 144, u'Kildonan')
  (u'ELO', 166, u'Elton & Orston')
  (u'ACK', 176, u'Acklington')
  (u'AAT', 228, u'Achanalt')
  (u'CPN', 232, u'Chapelton')
  (u'SUG', 240, u'Sugar Loaf')
  (u'HEL', 276, u'Hensall')
  (u'HVN', 278, u'Havenhouse')
  (u'CLI', 298, u'Clifton')
  (u'SNT', 314, u'Stanlow & Thornton')
  (u'RWC', 314, u'Rawcliffe')
  (u'HBB', 334, u'Hubberts Bridge')
  (u'TPC', 340, u'Thorpe Culvert')
  (u'NCE', 348, u'New Clee')
  (u'SCT', 376, u'Scotscalder')
  (u'LAK', 378, u'Lakenheath')
  (u'SPN', 388, u'Spooner Row')
  (u'FOC', 498, u'Falls Of Cruachan')
  WomanWithCat:flask grahamellis$

(written 2015-10-14)

 
Associated topics are indexed as below, or enter http://melksh.am/nnnn for individual articles
Y113 - Python and SQL databases
  [2745] Connecting Python to sqlite and MySQL databases - (2010-04-28)
  [2746] Model - View - Controller demo, Sqlite - Python 3 - Qt4 - (2010-04-29)
  [2786] Factory methods and SqLite in use in a Python teaching example - (2010-05-29)
  [2790] Joining a MySQL table from within a Python program - (2010-06-02)
  [3136] A framework with python - Django - first steps - (2011-01-17)
  [3139] Steering our Python courses towards wxPython, SQLite and Django - (2011-01-19)
  [4024] SQL databases from Python - an SQLite example - (2013-03-02)
  [4086] Cacheing class for Python - using a local SQLite database as a key/value store - (2013-05-14)
  [4436] Accessing a MySQL database from Python with mysql.connector - (2015-02-21)
  [4445] Graphing presentations in Python - huge data, numpy and matplotlib - (2015-02-28)
  [4535] SQLAlchemy - first examples with a Python Object Relationship Mapping system - (2015-10-14)


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This is a page archived from The Horse's Mouth at http://www.wellho.net/horse/ - the diary and writings of Graham Ellis. Every attempt was made to provide current information at the time the page was written, but things do move forward in our business - new software releases, price changes, new techniques. Please check back via our main site for current courses, prices, versions, etc - any mention of a price in "The Horse's Mouth" cannot be taken as an offer to supply at that price.

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