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‎.gitignore

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.idea
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_site
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.DS_Store
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.jekyll
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.jekyll-metadata
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.bundle
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.sass-cache
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Gemfile
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Gemfile.lock
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node_modules
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package.json
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.idea
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_site
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.DS_Store
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.jekyll
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.jekyll-metadata
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.bundle
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.sass-cache
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Gemfile
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Gemfile.lock
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node_modules
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package.json

‎404.md

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---
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layout: page
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title: 404 - Page not found
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permalink: /404.html
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---
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Sorry, we can't find that page that you're looking for. You can try again by going [back to the homepage]({{ site.baseurl }}/).
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[<img src="{{ site.baseurl }}/images/404.jpg" alt="Constructocat by https://github.com/jasoncostello" style="width: 400px;"/>]({{ site.baseurl }}/)
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---
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layout: page
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title: 404 - Page not found
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permalink: /404.html
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---
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Sorry, we can't find that page that you're looking for. You can try again by going [back to the homepage]({{ site.baseurl }}/).
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[<img src="{{ site.baseurl }}/images/404.jpg" alt="Constructocat by https://github.com/jasoncostello" style="width: 400px;"/>]({{ site.baseurl }}/)

‎LICENSE

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The MIT License (MIT)
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Copyright (c) 2015 Barry Clark
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
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the Software without restriction, including without limitation the rights to
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use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
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the Software, and to permit persons to whom the Software is furnished to do so,
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subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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The MIT License (MIT)
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Copyright (c) 2015 Barry Clark
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
7+
the Software without restriction, including without limitation the rights to
8+
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
9+
the Software, and to permit persons to whom the Software is furnished to do so,
10+
subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
18+
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

‎README.md

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‎_advanced-python.md

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---
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layout: page
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title: Advanced Python
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permalink: /advanced-python/
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---
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A three day course covering advanced language features and various aspects of the wider
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Python ecosystem. Tooling, best practises and common use cases for the Python programming
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language. A fast paced course with plenty of lab driven exercises to ensure attendees
10-
really learn the material and techniques for themselves.
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12-
This is a course offered by Agile Abstraction, either in house on your site or on our
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premises. For more details and pricing get in touch [[email protected]](mailto:[email protected]).
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15-
This course makes a great follow up from [Practical Python](/practical-python) or courses
16-
like Python for data science that teach you the basics of the langauge. It's had great
17-
feedback from Developers, Testers, Data Scientists, Financial modellers and analysts
18-
who already use Python on a day-to-day basis, but need to know how to get even more
19-
out of the language.
20-
21-
This advanced Python training course will teach you additional techniques and features
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relevant to Python to help you realise its full potential as an elegant language for
23-
rapid development of test scripts and applications. Python is a dynamic object-oriented
24-
programming language. It offers strong support for integration with other development
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languages and tools, and comes with extensive standard libraries.
26-
27-
Python also serves as a great introduction to Functional Programming, allowing us to
28-
explore topics such as closures, comprehensions, generators and decorators. And of
29-
course one of the great strengths of Python is the extensive set of libraries. We take
30-
a tour of some of the more interesting libraries and frameworks available in Python.
31-
32-
1. REGULAR EXPRESSIONS AND STRING PROCESSING
33-
34-
Various advanced examples of using Python for working with text processing, including
35-
the absolute minimum every developer should know about unicdoe and byte-strings,
36-
everything the string class has to offer and how to make the best of regular
37-
expressions for pulling structured data of text and byte oriented data.
38-
39-
Discussion of other standard library packages and techniques for more powerful
40-
text processing including templating library and full blown parsers.
41-
42-
2. Understanding Python Assignment
43-
44-
Python namespaces, why they are such an important and key part of Python and how
45-
understanding Python assignement and Python namespaces makes it easier to understand
46-
Python the language.
47-
48-
3. ADVANCED OBJECT ORIENTATION
49-
50-
The full Python object model. Python from the inside out. Really understand Python
51-
objects and classes.
52-
53-
Inheritance, including multiple inheritance and the method resolution order (mro) and
54-
why it matters to you.
55-
56-
Language features like:
57-
58-
* class methods
59-
* bound methods
60-
* properties
61-
62-
and how they tie together, including real world use cases.
63-
64-
Metaprogramming, operator overloading and the Python magic methods. Really understanding
65-
Python as a language, bringing all the parts together. Build your own containers in Python,
66-
understand the power and limitations of the built-in containers and how to customize the
67-
behaviour of your own Python objects for easier use.
68-
69-
4. MODERN APPROACHES TO EXCEPTION HANDLING
70-
71-
Full Python syntax and features for exception handling, how best to handle exceptions
72-
including best practises for development and topics like logging.
73-
74-
75-
5. INSTALLING, DEPLOYING and DISTRIBUTING PACKAGES and SYSTEMS
76-
77-
``pip`` and ``pip freeze``, what every developer should know. A discussion of other
78-
Python tools like code coverage and alternative package installation and management
79-
tools.
80-
81-
82-
6. AGILE DEVELOPMENT WITH TDD IN PYTHON
83-
84-
The advantages of the Test Driven Development approach (test first) and writing effective
85-
unit tests with both unittest and py.test and using mock objects.
86-
87-
7. Organising Your Code
88-
89-
When code gets beyond a certain size using standard Python structural tools to
90-
better organise your code for refactoring, understanding, thinking about and
91-
distributing your code. Python modules, packages, API design and migrating between
92-
them.
93-
94-
8. ADVANCED LANGUAGE TECHNIQUES
95-
96-
Decorators, decorator factories, class decorators, iterators, generators and more.
97-
98-
9. FUNCTIONAL PROGRAMMING
99-
100-
A highly practical approach to functional programming in Python and why these are
101-
such important every day concepts in Python programmings. Both the theory and the
102-
practise.
103-
104-
* lambda functions
105-
* Higher order functions
106-
* nested functions
107-
* currying and partial applications
108-
* closures
109-
110-
10. A Data Science Overview
111-
112-
A brief overview of working with Numpy, Pandas, OpenPyXl, MatplotLib, and so on.
113-
114-
11. NETWORKING:
115-
116-
The requests library, the HTTP request response cycle, accesssing APIs and building API
117-
clients, Stream Sockets and server clients, Datagrams and UDP server and clients and
118-
more. Powerful techques for inter-process communication when working with concurrency.
119-
120-
12. WEB DEVELOPMENT
121-
122-
A full introduction to modern web development with the Flask web development framework
123-
including URL routing, view functions, templating with the Jinja2 library, security considerations, web forms and database
124-
integration with the SQLAlchemy ORM. How to write and create simple cross-team tools
125-
delivered across private networks following modern best practises.
126-
127-
13. THREADS AND CONCURRENCY
128-
129-
Threading and Multiprocessing libraries and the dreaded GIL. Why it matters and when it
130-
doesn't matter, including how to avoid the pitfalls with multiprocessing and with
131-
custom C/C++ extensions.
132-
133-
A dicsussion of distributed computing using techniques like message queues and distributed
134-
task libraries like celery.
135-
136-
14. WORKING WITH DATABASES
137-
138-
Connecting directly to databases from Python and using an ORM like SQLAlchemy to avoid the pain.
139-
1+
---
2+
layout: page
3+
title: Advanced Python
4+
permalink: /advanced-python/
5+
---
6+
7+
A three day course covering advanced language features and various aspects of the wider
8+
Python ecosystem. Tooling, best practises and common use cases for the Python programming
9+
language. A fast paced course with plenty of lab driven exercises to ensure attendees
10+
really learn the material and techniques for themselves.
11+
12+
This is a course offered by Agile Abstraction, either in house on your site or on our
13+
premises. For more details and pricing get in touch [[email protected]](mailto:[email protected]).
14+
15+
This course makes a great follow up from [Practical Python](/practical-python) or courses
16+
like Python for data science that teach you the basics of the langauge. It's had great
17+
feedback from Developers, Testers, Data Scientists, Financial modellers and analysts
18+
who already use Python on a day-to-day basis, but need to know how to get even more
19+
out of the language.
20+
21+
This advanced Python training course will teach you additional techniques and features
22+
relevant to Python to help you realise its full potential as an elegant language for
23+
rapid development of test scripts and applications. Python is a dynamic object-oriented
24+
programming language. It offers strong support for integration with other development
25+
languages and tools, and comes with extensive standard libraries.
26+
27+
Python also serves as a great introduction to Functional Programming, allowing us to
28+
explore topics such as closures, comprehensions, generators and decorators. And of
29+
course one of the great strengths of Python is the extensive set of libraries. We take
30+
a tour of some of the more interesting libraries and frameworks available in Python.
31+
32+
1. REGULAR EXPRESSIONS AND STRING PROCESSING
33+
34+
Various advanced examples of using Python for working with text processing, including
35+
the absolute minimum every developer should know about unicdoe and byte-strings,
36+
everything the string class has to offer and how to make the best of regular
37+
expressions for pulling structured data of text and byte oriented data.
38+
39+
Discussion of other standard library packages and techniques for more powerful
40+
text processing including templating library and full blown parsers.
41+
42+
2. Understanding Python Assignment
43+
44+
Python namespaces, why they are such an important and key part of Python and how
45+
understanding Python assignement and Python namespaces makes it easier to understand
46+
Python the language.
47+
48+
3. ADVANCED OBJECT ORIENTATION
49+
50+
The full Python object model. Python from the inside out. Really understand Python
51+
objects and classes.
52+
53+
Inheritance, including multiple inheritance and the method resolution order (mro) and
54+
why it matters to you.
55+
56+
Language features like:
57+
58+
* class methods
59+
* bound methods
60+
* properties
61+
62+
and how they tie together, including real world use cases.
63+
64+
Metaprogramming, operator overloading and the Python magic methods. Really understanding
65+
Python as a language, bringing all the parts together. Build your own containers in Python,
66+
understand the power and limitations of the built-in containers and how to customize the
67+
behaviour of your own Python objects for easier use.
68+
69+
4. MODERN APPROACHES TO EXCEPTION HANDLING
70+
71+
Full Python syntax and features for exception handling, how best to handle exceptions
72+
including best practises for development and topics like logging.
73+
74+
75+
5. INSTALLING, DEPLOYING and DISTRIBUTING PACKAGES and SYSTEMS
76+
77+
``pip`` and ``pip freeze``, what every developer should know. A discussion of other
78+
Python tools like code coverage and alternative package installation and management
79+
tools.
80+
81+
82+
6. AGILE DEVELOPMENT WITH TDD IN PYTHON
83+
84+
The advantages of the Test Driven Development approach (test first) and writing effective
85+
unit tests with both unittest and py.test and using mock objects.
86+
87+
7. Organising Your Code
88+
89+
When code gets beyond a certain size using standard Python structural tools to
90+
better organise your code for refactoring, understanding, thinking about and
91+
distributing your code. Python modules, packages, API design and migrating between
92+
them.
93+
94+
8. ADVANCED LANGUAGE TECHNIQUES
95+
96+
Decorators, decorator factories, class decorators, iterators, generators and more.
97+
98+
9. FUNCTIONAL PROGRAMMING
99+
100+
A highly practical approach to functional programming in Python and why these are
101+
such important every day concepts in Python programmings. Both the theory and the
102+
practise.
103+
104+
* lambda functions
105+
* Higher order functions
106+
* nested functions
107+
* currying and partial applications
108+
* closures
109+
110+
10. A Data Science Overview
111+
112+
A brief overview of working with Numpy, Pandas, OpenPyXl, MatplotLib, and so on.
113+
114+
11. NETWORKING:
115+
116+
The requests library, the HTTP request response cycle, accesssing APIs and building API
117+
clients, Stream Sockets and server clients, Datagrams and UDP server and clients and
118+
more. Powerful techques for inter-process communication when working with concurrency.
119+
120+
12. WEB DEVELOPMENT
121+
122+
A full introduction to modern web development with the Flask web development framework
123+
including URL routing, view functions, templating with the Jinja2 library, security considerations, web forms and database
124+
integration with the SQLAlchemy ORM. How to write and create simple cross-team tools
125+
delivered across private networks following modern best practises.
126+
127+
13. THREADS AND CONCURRENCY
128+
129+
Threading and Multiprocessing libraries and the dreaded GIL. Why it matters and when it
130+
doesn't matter, including how to avoid the pitfalls with multiprocessing and with
131+
custom C/C++ extensions.
132+
133+
A dicsussion of distributed computing using techniques like message queues and distributed
134+
task libraries like celery.
135+
136+
14. WORKING WITH DATABASES
137+
138+
Connecting directly to databases from Python and using an ORM like SQLAlchemy to avoid the pain.
139+

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