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ramalhoramalho
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first exercise
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‎examples/vector0.py‎

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'''
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Vector: classe vetor euclideano
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>>> v1 = Vector([1, 2])
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>>> v1
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Vector([1.0, 2.0])
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'''
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from array import array
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import math
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class Vector:
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typecode = 'd'
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def __init__(self, components):
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self._components = array(self.typecode, components)
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def __len__(self):
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return len(self._components)
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def __iter__(self):
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return iter(self._components)
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def __abs__(self):
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return math.sqrt(sum(x * x for x in self))
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def __eq__(self, other):
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return (len(self) == len(other) and
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all(a == b for a, b in zip(self, other)))
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def __repr__(self):
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return 'Vector({})'.format(list(self._components))

‎pythonic-api-notebook.ipynb‎

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"* Wrap-up\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## What is *Pythonic*?\n",
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"\n",
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"Pythonic code is concise and expressive. It leverages Python features and idioms to acomplish maximum effect with minimum effort, without being unreadable. It uses the language as it's designed to be used, so it is most readable to the fluent Pythonista."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Real example 1: the `requests` API\n",
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"\n",
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"`requests` is pleasant HTTP client library. It's great but it would be awesome if it was asynchronous (but could it be pleasant **and** asynchronous at the same time?). The examples below are from Kenneth Reitz, the author of `requests` ([source](https://gist.github.com/kennethreitz/973705)).\n",
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"\n",
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"#### Pythonic, using `requests`\n",
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"\n",
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"```python\n",
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"import requests\n",
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"\n",
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"r = requests.get('https://api.github.com', auth=('user', 'pass'))\n",
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"\n",
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"print r.status_code\n",
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"print r.headers['content-type']\n",
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"\n",
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"# ------\n",
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"# 200\n",
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"# 'application/json'\n",
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"```\n",
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"\n",
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"#### Unpythonic, using `urllib2`\n",
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"\n",
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"```python\n",
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"import urllib2\n",
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"\n",
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"gh_url = 'https://api.github.com'\n",
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"\n",
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"req = urllib2.Request(gh_url)\n",
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"\n",
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"password_manager = urllib2.HTTPPasswordMgrWithDefaultRealm()\n",
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"password_manager.add_password(None, gh_url, 'user', 'pass')\n",
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"\n",
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"auth_manager = urllib2.HTTPBasicAuthHandler(password_manager)\n",
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"opener = urllib2.build_opener(auth_manager)\n",
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"\n",
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"urllib2.install_opener(opener)\n",
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"\n",
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"handler = urllib2.urlopen(req)\n",
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"\n",
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"print handler.getcode()\n",
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"print handler.headers.getheader('content-type')\n",
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"\n",
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"# ------\n",
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"# 200\n",
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"# 'application/json'\n",
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"\n",
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"```\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 19,
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"metadata": {
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"collapsed": false
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},
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"output_type": "stream",
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"text": [
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"['F', 'l', 'u', 'e', 'n', 't']\n",
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"(10, 20, 30)\n",
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"10\n",
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"20\n",
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"30\n",
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"40\n",
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"50\n"
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"(10, 20, 50)\n",
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"10 20 30 40 50 "
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]
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}
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],
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"source": [
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"s = 'Fluent'\n",
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"l = [10, 20, 30, 40, 50]\n",
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"L = [10, 20, 30, 40, 50]\n",
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"\n",
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"print(list(s)) # list constructor iterates over its argument\n",
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"\n",
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"a, b, c, *rest = l # tuple unpacking iterates over right side\n",
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"a, b, *middle, c = L # tuple unpacking iterates over right side\n",
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"print((a, b, c))\n",
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"\n",
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"for i in l:\n",
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" print(i)"
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"for i in L:\n",
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" print(i, end=' ')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Sizing with `len()`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(6, 5)"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(s), len(L)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(6, 5)"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"s.__len__(), L.__len__()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Arithmetic"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(6, 6)"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a = 2\n",
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"b = 3\n",
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"a * b, a.__mul__(b)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[1, 2, 3, [...]]"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"L = [1, 2, 3]\n",
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"L.append(L)\n",
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"L"
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]
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},
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{
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## String formatting mini-language"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1.4142135623730951"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"x = 2**.5\n",
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"x"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'1.414'"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"format(x, '.3f')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2016-05-11 20:53:37.210333\n",
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"20:53\n"
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]
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}
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],
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"source": [
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"from datetime import datetime\n",
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"agora = datetime.now()\n",
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"print(agora)\n",
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"print(format(agora, '%H:%M'))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'20... 1.414!'"
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]
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},
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"execution_count": 34,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"'{1:%H}... {0:.3f}!'.format(x, agora)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],

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