Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Cool New Features in Python 3.5
Search
Kevin McCarthy
November 07, 2015
Programming
1
360
Cool New Features in Python 3.5
Kevin McCarthy
November 07, 2015
Tweet
Share
More Decks by Kevin McCarthy
See All by Kevin McCarthy
Functors
kevin1024
1
170
Introduction to Programming
kevin1024
0
230
Processing Workshop
kevin1024
0
190
Processing Talk
kevin1024
0
280
Sick && Insane Programming Practices
kevin1024
1
300
Introduction to Machine Learning
kevin1024
2
300
Other Decks in Programming
See All in Programming
QAフローを最適化し、品質水準を満たしながらリリースまでの期間を最短化する #RSGT2026
shibayu36
2
4.2k
CSC307 Lecture 01
javiergs
PRO
0
680
IFSによる形状設計/デモシーンの魅力 @ 慶應大学SFC
gam0022
1
290
Smart Handoff/Pickup ガイド - Claude Code セッション管理
yukiigarashi
0
110
フルサイクルエンジニアリングをAI Agentで全自動化したい 〜構想と現在地〜
kamina_zzz
0
400
AI Schema Enrichment for your Oracle AI Database
thatjeffsmith
0
220
Data-Centric Kaggle
isax1015
2
750
ZJIT: The Ruby 4 JIT Compiler / Ruby Release 30th Anniversary Party
k0kubun
1
390
15年続くIoTサービスのSREエンジニアが挑む分散トレーシング導入
melonps
0
140
Architectural Extensions
denyspoltorak
0
260
Basic Architectures
denyspoltorak
0
650
公共交通オープンデータ × モバイルUX 複雑な運行情報を 『直感』に変換する技術
tinykitten
PRO
0
200
Featured
See All Featured
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
100
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
9.8k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.9k
Ruling the World: When Life Gets Gamed
codingconduct
0
130
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.1k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
240
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
0
430
We Are The Robots
honzajavorek
0
160
Marketing to machines
jonoalderson
1
4.6k
GraphQLの誤解/rethinking-graphql
sonatard
74
11k
The Curse of the Amulet
leimatthew05
1
8.1k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
1
430
Transcript
Cool new features in Python 3.5
None
Unpacking >>> a,b,c = [1,2,3] >>> print(a) 1 >>> print(b)
2 >>> print(c) 3
Unpacking: LEVELED >>> a = [1,2,3] >>> b = [4,5,6]
>>> print([*a, *b]) [1,2,3,4,5,6] PEP 448
Build Dictionaries >>> defaults = {"database": "mysql"} >>> my_config =
{"database": "sqlite", "password": "cats"} PEP 448
Build Dictionaries >>> defaults.update(my_config) >>> print defaults {"database": "sqlite", "password":
"cats"} PEP 448
Build Dictionaries >>> print {**defaults, **my_config} {"database": "sqlite", "password": "cats"}
PEP 448
Call Functions with Unpacking >>> connect(**defaults, **my_config) PEP 448
math.isclose() >>> a = 1.0 >>> b = 1.00000000001 >>>
math.isclose(a,b) True >>> math.isclose(1.0, 1.1) False >>> math.isclose(1.0, 1.01, abs_tol=.1) True PEP 485
>>> import math >>> math.pow(a, 2) + math.pow(b, 2) ==
math.pow(c,2)
>>> a**2 + b**2 == c**2
import numpy as np from numpy.linalg import inv, solve #
Using dot function: S = np.dot((np.dot(H, beta) - r).T, np.dot(inv(np.dot(np.dot(H, V), H.T)), np.dot(H, beta) - r))
@ matrix multiplication operator @ >>> S = (H @
beta - r).T @ \ inv(H @ V @ H.T) @ (H @ beta - r) PEP 465
os.scandir() PEP 471
yield from (python 3.4) @asyncio.coroutine def view(request): data = yield
from db_query(request.q) more = yield from db_query(request.p) return yield from render(data, more) PEP 380
async and await async def view(request): data = await db_query(request.q)
more = await db_query(request.p) return await render(data, more) PEP 492
type annotations def hello(name: str) -> str: return "hello, {}".format(name)
PEP 484
type annotations def hello(name: str) -> str: return "hello, {}".format(name)
def greet(name): print greeting(name) PEP 484 types!
gradual typing def hello(name: str) -> str: return "hello, {}".format(name)
def greet(name): print(greeting(name)) types! no types! PEP 484
import typing from typing import List def combine(input: List[str]) ->
int: return input.join() PEP 484
much, much more! PEP 461, 479… • subprocess.run() • collections.OrderedDict
4-100 times faster • bytes % args, bytearray % args • functools.lru_cache() 10-25x faster • StopIteration handling inside generators better • A new installer for Windows
Thanks! https://docs.python.org/3/whatsnew/3.5.html