This document provides an introduction to SQLAlchemy and object relational mapping (ORM). It discusses how SQLAlchemy provides tools and components to assist with database development at every level, including an ORM that allows mapping Python objects to database tables. The document covers the core components of SQLAlchemy, including the Engine for database connectivity, metadata for representing database structure in Python, and the ORM for persisting objects. It also discusses how SQLAlchemy builds on the Python DBAPI for low-level database access.
SQLAlchemy is a popular database framework that provides an ORM and a schema centric query language, and in this talk we will take a look how to get started with the ORM. We'll learn how to establish connections to popular databases such as PostgreSQL and MySQL. Then we will look at how to define our models as user classes including relationships and persist them to the database. Next, we'll cover the how the SQLAlchemy session works with typical create, update, read, and delete operations. We'll wrap up with pointers of where to go next to learn more.
In this core java training session, you will learn Collections - Maps. Topics covered in this session are:
• Collections – Maps
• Map Interface
• Map methods
• Mapuse
• Hashmap
• Treemap
• Utilities
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
ReactJS Tutorial For Beginners | ReactJS Redux Training For Beginners | React...Edureka!
This Edureka ReactJS Tutorial For Beginners will help you in understanding the fundamentals of ReactJS and help you in building a strong foundation in React framework. Below are the topics covered in this tutorial:
1. Why ReactJS?
2. What Is ReactJS?
3. Advantages Of ReactJS
4. ReactJS Installation and Program
5. ReactJS Fundamentals
Things you should know about Javascript ES5. A programming language that enables you to create dynamically updating content, control multimedia, animate images, and pretty much everything else
SQLAlchemy is a popular database framework that provides an ORM and a schema centric query language, and in this talk we will take a look how to get started with the ORM. We'll learn how to establish connections to popular databases such as PostgreSQL and MySQL. Then we will look at how to define our models as user classes including relationships and persist them to the database. Next, we'll cover the how the SQLAlchemy session works with typical create, update, read, and delete operations. We'll wrap up with pointers of where to go next to learn more.
In this core java training session, you will learn Collections - Maps. Topics covered in this session are:
• Collections – Maps
• Map Interface
• Map methods
• Mapuse
• Hashmap
• Treemap
• Utilities
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
ReactJS Tutorial For Beginners | ReactJS Redux Training For Beginners | React...Edureka!
This Edureka ReactJS Tutorial For Beginners will help you in understanding the fundamentals of ReactJS and help you in building a strong foundation in React framework. Below are the topics covered in this tutorial:
1. Why ReactJS?
2. What Is ReactJS?
3. Advantages Of ReactJS
4. ReactJS Installation and Program
5. ReactJS Fundamentals
Things you should know about Javascript ES5. A programming language that enables you to create dynamically updating content, control multimedia, animate images, and pretty much everything else
An array is collection of similar kind of data elements which can store same data types and we can not store some of int and some of float data types in Array.
In JavaScript, almost "everything" is an object.
-Booleans can be objects (if defined with the new keyword)
-Numbers can be objects (if defined with the new keyword)
-Strings can be objects (if defined with the new keyword)
-Dates are always objects
-Maths are always objects
-Regular expressions are always objects
-Arrays are always objects
-Functions are always objects
-Objects are always objects
Collections are PL/SQL's approach to arrays. We have three types of collections (associative arrays, nested tables, varrays) and this presentation explores both the common features of these datatypes, and their differing characteristics. Copyright 2016 Oracle Corporation.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
What's LINQ, its advantages, its Operators and examples on some of them, Methods of Writing it.
LINQ to Objects and Collections and Data Source Transformation.
Introduction to SQLAlchemy and Alembic MigrationsJason Myers
In this talk, we'll examine how to use SQLAlchemy ORM and Core in both simple queries and query builder type applications. Next, we'll explore Alembic database migrations and how we can use them to handle database changes.
An array is collection of similar kind of data elements which can store same data types and we can not store some of int and some of float data types in Array.
In JavaScript, almost "everything" is an object.
-Booleans can be objects (if defined with the new keyword)
-Numbers can be objects (if defined with the new keyword)
-Strings can be objects (if defined with the new keyword)
-Dates are always objects
-Maths are always objects
-Regular expressions are always objects
-Arrays are always objects
-Functions are always objects
-Objects are always objects
Collections are PL/SQL's approach to arrays. We have three types of collections (associative arrays, nested tables, varrays) and this presentation explores both the common features of these datatypes, and their differing characteristics. Copyright 2016 Oracle Corporation.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
What's LINQ, its advantages, its Operators and examples on some of them, Methods of Writing it.
LINQ to Objects and Collections and Data Source Transformation.
Introduction to SQLAlchemy and Alembic MigrationsJason Myers
In this talk, we'll examine how to use SQLAlchemy ORM and Core in both simple queries and query builder type applications. Next, we'll explore Alembic database migrations and how we can use them to handle database changes.
Haroon walked us through various tips and tricks on how we can enhance PostgreSQL performance while highlighting some typical pitfalls people encounter. If you are planning for capacity, doing scalability analysis, or simply facing degradation in performance of your apps or queries running against PostgreSQL, you should definitely attend this session.
Haroon walked us through various tips and tricks on how we can enhance PostgreSQL performance while highlighting some typical pitfalls people encounter. If you are planning for capacity, doing scalability analysis, or simply facing degradation in performance of your apps or queries running against PostgreSQL, you should definitely attend this session.
dotNet Miami - June 21, 2012: Richie Rump: Entity Framework: Code First and M...dotNet Miami
dotNet Miami - June 21, 2012: Presented by Richie Rump: Traditionally, Entity Framework has used a designer and XML files to define the conceptual and storage models. Now with Entity Framework Code First we can ditch the XML files and define the data model directly in code. This session will give an overview of all of the awesomeness that is Code First including Data Annotations, Fluent API, DbContext and the new Migrations feature. Be prepared for a fast moving and interactive session filled with great information on how to access your data.
Access Data from XPages with the Relational ControlsTeamstudio
Did you know that Domino and XPages allows for the easy access of relational data? These exciting capabilities in the Extension Library can greatly enhance the capability of your applications and allow access to information beyond Domino. Howard and Paul will discuss what you need to get started, what controls allow access to relational data, and the new @Functions available to incorporate relational data in your Server Side JavaScript programming.
Sage 300 ERP: Technical Tour of Diagnostic ToolsSage 300 ERP CS
These slides from Sage Summit 2012 provide details on tools for Monitoring, Tuning, Diagnosing, Creating. Editing, Debugging, and Reporting for Sage 300 ERP databases.
Efficient working with Databases in LabVIEW - Sam Sharp (MediaMongrels Ltd) -...MediaMongrels Ltd
Sam Sharp's presentation from GDevCon#2 on Efficient Working with Databases in LabVIEW.
This presentation discusses some best practice hints & tips for working with databases in LabVIEW and uses Yii's ActiveRecord implementation as an example of how we can work more efficiently with databases in LabVIEW.
Building nTier Applications with Entity Framework Services (Part 1)David McCarter
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated.
Building nTier Applications with Entity Framework Services (Part 1)David McCarter
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated. Lots of code! Make sure to attend Part 2.
Learn Entity Framework in a day with Code First, Model First and Database FirstJibran Rasheed Khan
Learn Entity Framework in a day with Code First, Model First and Database First
•Introduction to Entity Framework (EF)
•Architecture
•What’s new!
•Different approaches to work with (Code first, Database first and model first)
•Choosing right work model
•Pictorial Tour to each model
•Features & Advantages
•Question & Answer
for any help and understanding feel free to contact
thank you
Sqlite Database | SQLite Tutorial | SQLite3 with Python | Database CRUD | Sqlite Python Tutorial
In this tutorial, you can learn the Database CRUD operations using SQLite3 with Python Language. Here demo of following database CRUD operations are given. Beginners can easily understand how to work with database using sqlite database in python.
Topics Covered
1. Database Creation, Table Creation, Data Insertion
2. Data Retrieval
3. Data Updation
4. Data Deletion
Hope this will be helpful for those who are searching the database tutorial in python language...
For Demo Visit the link below:
https://youtu.be/0yxhJ8amoi8 (Elangovan Tech Notes-YouTube Channel)
Similar to Michael Bayer Introduction to SQLAlchemy @ Postgres Open (20)
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. Prerequisite Knowledge
• This
tutorial
assumes
some
basic
knowledge
about
SQL
(in
order
of
importance):
• structure:
tables,
columns,
CREATE
TABLE,
etc.
• querying:
selecting
rows
with
SELECT
• modifying
data
with
INSERT,
UPDATE,
DELETE
• joins,
grouping
• transactions
3. SQLAlchemy - Overview
• the
Database
Toolkit
for
Python
• introduced
2005
• end-‐to-‐end
system
for
working
with
the
Python
DBAPI,
relational
databases,
and
the
SQL
language
• Current
release
0.8.2,
0.9
almost
ready
• 1.0
will
happen
4. SQLAlchemy Goals
• Provide
helpers,
tools
and
components
to
assist
and
automate
database
development
at
every
level
• Provide
a
consistent
and
fully
featured
facade
over
the
Python
DBAPI
• Provide
an
industrial
strength,
but
optional,
object
relational
mapper
(ORM)
• Act
as
the
foundation
for
any
number
of
third
party
or
in-‐house
tools
5. SQLAlchemy Philosophies
• Bring
the
usage
of
different
databases
and
adapters
to
an
interface
as
consistent
as
possible...
• ...but
still
expose
distinct
behaviors
and
features
of
each
backend.
• Never
"hide"
the
database
or
its
concepts
-‐
developers
must
know
/
continue
to
think
in
SQL...
• Instead....provide
automation
and
DRY
• Allow
expression
of
DB/SQL
tasks
using
declarative
patterns
6. SQLAlchemy
consists
of
the
Core
and
the
ORM
SQLAlchemy Overview
Third party libraries / Python core
SQLAlchemy Core
SQLAlchemy ORM
SQL Expression
Language
Dialect
Connection
Pooling
DBAPI
Schema / Types Engine
Object Relational Mapper (ORM)
Database
7. SQLAlchemy - Core
• Engine
-‐
a
registry
which
provides
connectivity
to
a
particular
database
server.
• Dialect
-‐
interprets
generic
SQL
and
database
commands
in
terms
of
a
specific
DBAPI
and
database
backend.
• Connection
Pool
-‐
holds
a
collection
of
database
connections
in
memory
for
fast
re-‐use.
• SQL
Expression
Language
-‐
Allows
SQL
statements
to
be
written
using
Python
expressions
• Schema
/
Types
-‐
Uses
Python
objects
to
represent
tables,
columns,
and
datatypes.
8. SQLAlchemy - ORM
• Allows
construction
of
Python
objects
which
can
be
mapped
to
relational
database
tables.
• Transparently
persists
objects
into
their
corresponding
database
tables
using
the
unit
of
work
pattern.
• Provides
a
query
system
which
loads
objects
and
attributes
using
SQL
generated
from
mappings.
• Builds
on
top
of
the
Core
-‐
uses
the
Core
to
generate
SQL
and
talk
to
the
database.
• Presents
a
slightly
more
object
centric
perspective,
as
opposed
to
a
schema
centric
perspective.
9. Can
be
learned
from
the
inside
out,
or
outside
in
SQLAlchemy is like an Onion
Object Relational Mapping
SQL Expressions
Table Metadata, Reflection, DDL
Engine, Connection, Transactions
11. The Python DBAPI
• DBAPI
-‐
PEP-‐0249,
Python
Database
API
• The
de-‐facto
system
for
providing
Python
database
interfaces
• There
are
many
DBAPI
implementations
available,
most
databases
have
more
than
one
• Features/performance/stability/API
quirks/
maintenance
vary
wildly
13. Important DBAPI Facts
• DBAPI
assumes
that
a
transaction
is
always
in
progress.
There
is
no
begin()
method,
only
commit()
and
rollback().
• DBAPI
encourages
bound
parameters,
via
the
execute()
and
executemany()
methods.
But
has
six
different
formats.
• All
DBAPIs
have
inconsistencies
regarding
datatypes,
primary
key
generation,
custom
database
features,
result/cursor
behavior
• DBAPI
has
it's
own
exception
hierarchy,
which
SQLAlchemy
exposes
directly
in
a
generic
namespace.
14. SQLAlchemy and the DBAPI
• The
first
layer
in
SQLAlchemy
is
known
as
the
Engine,
which
is
the
object
that
maintains
the
classical
DBAPI
interaction.
16. Engine Facts
• Executing
via
the
Engine
directly
is
called
connectionless
execution
-‐
the
Engine
connects
and
disconnects
for
us.
• Using
a
Connection
is
called
explicit
execution.
We
control
the
span
of
a
connection
in
use.
• Engine
usually
uses
a
connection
pool,
which
means
"disconnecting"
often
means
the
connection
is
just
returned
to
the
pool.
• The
SQL
we
send
to
engine.execute()
as
a
string
is
not
modified,
is
consumed
by
the
DBAPI
verbatim.
18. What is "Metadata"?
• Popularized
by
Martin
Fowler,
Patterns
of
Enterprise
Architecture
• Describes
the
structure
of
the
database,
i.e.
tables,
columns,
constraints,
in
terms
of
data
structures
in
Python
• Serves
as
the
basis
for
SQL
generation
and
object
relational
mapping
• Can
generate
to
a
schema
• Can
be
generated
from
a
schema
21. CREATE and DROP
• metadata.create_all(engine,
checkfirst=<True|False>) emits
CREATE
statements
for
all
tables.
• table.create(engine,
checkfirst=<True|False>)
emits
CREATE
for
a
single
table.
• metadata.drop_all(engine,
checkfirst=<True|False>)
emits
DROP
statements
for
all
tables.
• table.drop(engine, checkfirst=<True|
False>)
emits
DROP
for
a
single
table.
23. SQL Expressions
• The
SQL
Expression
system
builds
upon
Table
Metadata
in
order
to
compose
SQL
statements
in
Python.
• We
will
build
Python
objects
that
represent
individual
SQL
strings
(statements)
we'd
send
to
the
database.
• These
objects
are
composed
of
other
objects
that
each
represent
some
unit
of
SQL,
like
a
comparison,
a
SELECT
statement,
a
conjunction
such
as
AND
or
OR.
• We
work
with
these
objects
in
Python,
which
are
then
converted
to
strings
when
we
"execute"
them
(as
well
as
if
we
print
them).
26. Object Relational Mapping
• Object
Relational
Mapping,
or
ORM,
is
the
process
of
associating
object
oriented
classes
with
database
tables.
• We
refer
to
the
set
of
object
oriented
classes
as
a
domain
model.
27. The
most
basic
task
is
to
translate
between
a
domain
object
and
a
table
row.
What does an ORM Do?
DatabaseApplication
Domain Object Table Row
object.save()
class.load()
28. Some
ORMs
can
also
represent
arbitrary
rows
as
domain
objects
within
the
application,
that
is,
rows
derived
from
SELECT
statements
or
views.
What does an ORM Do?
DatabaseApplication
Domain Object
SELECT statement
row
Table 1 row
Table 2 row
29. Most
ORMs
also
represent
basic
compositions,
primarily
one-‐to-‐many
and
many-‐to-‐one,
using
foreign
key
associations.
What does an ORM Do?
Application Database
Parent Object Table 1 Row
Table 2 Row
Child Object
Child Object
Table 2 Row
fk reference
fk reference
many to one
collection
many to one
one to many
30. What does an ORM Do?
• Other
things
ORMs
do:
• provide
a
means
of
querying
the
database
in
terms
of
the
domain
model
structure
• Some
can
represent
class
inheritance
hierarchies
using
a
variety
of
schemes
• Some
can
handle
"sharding"
of
data,
i.e.
storing
a
domain
model
across
multiple
schemas
or
databases
• Provide
various
patterns
for
concurrency,
including
row
versioning
• Provide
patterns
for
data
validation
and
coercion
31. The
two
general
styles
of
ORM
are
Active
Record
and
Data
Mapper.
Active
Record
has
domain
objects
handle
their
own
persistence:
Flavors of ORM
user_record = User(name="ed", fullname="Ed Jones")
user_record.save()
user_record = User.query(name='ed').fetch()
user_record.fullname = "Edward Jones"
user_record.save()
32. The
Data
Mapper
approach
tries
to
keep
the
details
of
persistence
separate
from
the
object
being
persisted.
Flavors of ORM
dbsession = start_session()
user_record = User(name="ed", fullname="Ed Jones")
dbsession.add(user_record)
user_record = dbsession.query(User).filter(name='ed').first()
user_record.fullname = "Edward Jones"
dbsession.commit()
33. ORMs
may
also
provide
different
configurational
patterns.
Most
use
an
"all-‐at-‐once",
or
declarative
style
where
class
and
table
information
is
together.
Flavors of ORM
# a hypothetical declarative system
class User(ORMObject):
tablename = 'user'
name = String(length=50)
fullname = String(length=100)
class Address(ORMObject):
tablename = 'address'
email_address = String(length=100)
user = many_to_one("User")
34. A
less
common
style
keeps
the
declaration
of
domain
model
and
table
metadata
separate.
Flavors of ORM
# class is declared without any awareness of database
class User(object):
def __init__(self, name, username):
self.name = name
self.username = username
# elsewhere, it's associated with a database table
mapper(
User,
Table("user", metadata,
Column("name", String(50)),
Column("fullname", String(100))
)
)
35. SQLAlchemy ORM
• The
SQLAlchemy
ORM
is
essentially
a
data
mapper
style
ORM.
• Modern
versions
use
declarative
configuration;
the
"domain
and
schema
separate"
configuration
model
is
present
underneath
this
layer.
• The
ORM
builds
upon
SQLAlchemy
Core,
and
many
of
the
SQL
Expression
concepts
are
present
when
working
with
the
ORM
as
well.
• In
contrast
to
the
SQL
Expression
language,
which
presents
a
schema-‐centric
view
of
data,
it
presents
a
domain-‐model
centric
view
of
data.
36. Key ORM Patterns
• Unit
of
Work
-‐
objects
are
maintained
by
a
system
that
tracks
changes
over
the
course
of
a
transaction,
and
flushes
pending
changes
periodically,
in
a
transparent
or
semi-‐
transparent
manner
• Identity
Map
-‐
objects
are
tracked
by
their
primary
key
within
the
unit
of
work,
and
are
kept
unique
on
that
primary
key
identity.
• Lazy
Loading
-‐
Some
attributes
of
an
object
may
emit
additional
SQL
queries
when
they
are
accessed.
• Eager
Loading
-‐
Multiple
tables
are
queried
at
once
in
order
to
load
related
objects
and
collections.
• Method
Chaining
-‐
queries
are
composed
using
a
string
of
method
calls
which
each
return
a
new
query
object.