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127.0.0.1 reddit.com | |
127.0.0.1 news.ycombinator.com | |
127.0.0.1 imgur.com |
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Solve all problems in order. Do not copy and paste, but do refer to previously solved problems. Show me each problem as it's solved if I'm available. | |
The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined as follows: start with any positive integer n. Then each term is obtained from the previous term as follows: if the previous term is even, the next term is one half the previous term. If the previous term is odd, the next term is 3 times the previous term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1. | |
Given positive integer n, return a list of the of the Collatz sequence from n to 1. Recursive and iterative. | |
3 -> [3, 10, 5, 16, 8, 4, 2, 1] | |
Given positive integer n, return the number of steps required to go from n to 1. Recursive and iterative. | |
3 -> 7 |
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""" | |
There are two main keywords for making loops of code in Python: for and while. | |
There are other ways to make repeating code (comprehensions, generators, etc.) but these are the main | |
ones to used when you have a block of code you want to run over and over. | |
""" | |
# Use "for" when you have an iterable and you want to run some code on each item in it | |
for letter in 'abc': | |
print(letter) |
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""" | |
These are classes I coded up to understand how different linked lists worked. | |
They all accept and return the items held, not node instances. | |
""" | |
from abc import ABC, abstractmethod | |
from collections.abc import Iterable, Reversible | |
from typing import Optional | |
class AbstractLinkedNode(ABC): |
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all-[name] - channels everyone should be on | |
ask-[name] - channel to interact with a team | |
team-[name] - channel for a team | |
proj-[name] - channels about work with an end date (prolly cross functional) | |
talk-[name] RF specific endless discussions (hiring) | |
pings-[name] channels that go beep (intercom, code-reviews) | |
client-[name] channel shared with a client (not to talk about them!) | |
chat-[name] - general subject discussions not RF specific (design, travel, music, product) |
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from collections import deque | |
from typing import Dict, Hashable, MutableSet, MutableSequence, Set, TypeVar, Union, Generic, List, Generator | |
Node = Hashable | |
Adjacent = Union[MutableSequence[Hashable], MutableSet[Hashable]] | |
def depth_first_connected_nodes_iterative(graph: Dict[Node, Adjacent], | |
start: Node) -> Set[Node]: | |
to_visit = [start] |
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from graphs import depth_first_connected_nodes_iterative | |
graph = { | |
'A': { | |
'B', | |
}, | |
'B': { | |
'C', | |
'D', |
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[ | |
{ | |
"date": "1/25/2020", | |
"title": "The business of SaaS", | |
"url": "https://stripe.com/atlas/guides/business-of-saas" | |
}, | |
{ | |
"date": "5/19/2021", | |
"title": "Do The Real Thing", | |
"url": "https://www.scotthyoung.com/blog/2020/05/04/do-the-real-thing/" |
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PF: Introduction to Clojure V2 | |
PF: 3 Functional Tools | |
PF: JVM Fundamentals for Clojure | |
PF: Repl-Driven Development in Clojure | |
PF: Clojure Collections | |
PF: Clojure Scope | |
PF: Recursion 101 | |
PF: Namespaces | |
PF: Leiningen | |
PF: Web Development in Clojure |
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from typing import List, Optional, Sequence | |
# A recursive function is a function that calls itself. They're an alternative option to iteration, like using a while | |
# or for loop. Sometimes, they can make code easier to read and write. The examples below are overly simplified and | |
# have obviously better alternatives. | |
def multiply_string(s: str, n: int) -> str: | |
# There are 3 main parts to a recursive function. | |
# 1. A way to go to either the base case (no recursion) or recursive case (function calls itself). |
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