This document provides an introduction to advanced Python concepts and being "Pythonic". It discusses functions, classes, lambda functions, built-in functions like filter, map and reduce, list comprehensions, PEP (Python Enhancement Proposals), and the pip package manager. Some key Pythonic concepts covered include using built-in data types and operations like enumerate instead of range/indexing, exchanging values with a single statement instead of using a temporary variable, and joining strings with join instead of concatenation. The document aims to help readers write cleaner and more readable Python code that fully leverages the language's constructs.

1. Intro to Python
by Shuai Liu

2. agenda
• History & Basics
• Advanced & Be Pythonic
• Awesome Python Frameworks

3. Advanced & Be Pythonic

4. Review
• int & float & bool
• string & list & tuple
• dict
• loop & branch
• def methods

5. Something interesting…

6. def foo(a, b):
"""My niubility methods."""
return a + b
"""My niubility methods."""
>>> print foo.__doc__
>>> My niubility methods.

7. class Person(object):
"""My first class"""
version = 1.0
def __init__(self, name):
self.name = name
print "__init__ called"
def get_name(self):
"""Return the name"""
return self.name

8. Pythonic

9. –Martijn Faassen, founder of the lxml (XML library for Python)
“Pythonic is to use the Python constructs and
datastructures with clean,
readable idioms.”

10. enumerate
l = [0, 1, 2, 3, 4]
for i in range(len(l)):
print i, l[i]
for i, element in enumerate(l):
print i, element

11. value exchange
temp = foo
foo = bar
bar = temp
foo, bar = bar, foo

12. string concatenating
s = “hello” + “world”
s = “”.join([“hello”, “world”])

13. λ

14. lambda
def foo(x):
return x ** 2
lambda x : x ** 2
>>> a = lambda x : x ** 2
>>> a(5)
>>> 25

15. filter & map & reduce

16. >>> filter(function, iterable)
>>> map(function, iterable)
>>> reduce(function, iterable)

17. filter

18. map

19. reduce

21. List comprehensions

22. >>> a = map(lambda x : x ** 2, range(10))
>>> a = [ x ** 2 for x in range(10)]
>>> a = filter(lambda x : x % 2, range(10))
>>> a = [x for x in range(10) if x % 2]

24. two more things…

25. PEP

26. Python Enhancement
Proposals
num title owner
1
PEP Purpose and
Guidelines
Warsaw, Hylton, Goodger,
Coghlan
4
Deprecation of Standard
Modules
von Löwis
5
Guidelines for Language
Evolution
Prescod
8
Style Guide for Python
Code
GvR, Warsaw, Coghlan

27. pip

28. pip
• A tool for installing and managing Python packages.
• $ sudo pip install Requests

29. Resources

31. IDE
‘+’.join([ , ])

32. IDE

33. Summary
• OO
• lambda & three functions
• list comprehensions
• resources

34. Thanks