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diff --git a/pypers/oxford/program.txt b/pypers/oxford/program.txt new file mode 100755 index 0000000..1f5b36f --- /dev/null +++ b/pypers/oxford/program.txt @@ -0,0 +1,45 @@ +*Wonders of Today's Python* -- presented by Michele Simionato + +*Everything you always wanted to know about Python but were afraid to ask!* + +In the last few years, with the advent of the new-style object model and +of iterators, generators, decorators and more, Python has undergone a silent +revolution. Many of the idioms, patterns and techniques of the past have +been replaced by better solutions. You may feel that the language +is evolving at too rapid a pace for you, or that your Python skills are +becoming obsolete. In this case don't worry: this seminar is for you! + +For this lectures, I have picked some of the most interesting new +paradigmas in modern Python, and I discuss them through examples big +and small, together with a thorough grounding in the relevant language +mechanisms. + +Look at the variety of design choices that today's Python makes +available to you, and learn when you should use the advanced +techniques presented here and when you should not. + +Iterators and Generators underlie Python's new approach to looping -- +it's not your grandparents' loop any more! Learn how to encapsulate +the underlying logic of your control structures and make it +reusable. See how itertools can turn the "abstraction penalty" typical +of other languages into an abstraction _bonus_, making your code +faster at the same time as more abstract and general. + +Learn about Design Patterns and other Object-Oriented idioms and +mechanisms. Python is a multi-paradigm language, but OOP is its core +paradigm. Understand the pros and cons of your alternatives: When +should you use closures, rather than callable instances? When is +inheritance OK, and when is it better to hold-and-delegate? What +classical Design Patterns are built-in to Python, and which others are +appropriate to consider, when? + +Descriptors and Metaclasses are the underpinnings of today's Python's +OOP -- Python exposes them and lets you customize them for your own +purposes. Add Decorators, the new syntax just introduced in Python 2.4 +(a systematic application of a crucial use case for higher-order +functions), and you'll see why the working title of that chapter was +"Black Magic"... Learn important use cases for each of these advanced +mechanisms. + +Prerequisites: you need a solid grasp of Python fundamentals to start +with. Course objectives: you'll walk out of this a Python wizard! |