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"I'm Dorothy Gale from Kansas"
sheepfilms
he wasn't even looking at me and he found me
taylor price
titsay
shark vs the universe
cherry valley forever
art blog(derogatory)
trying on a metaphor
wallacepolsom
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Discoholic 🪩
I'd rather be in outer space 🛸
Lint Roller? I Barely Know Her
Jules of Nature
oozey mess
❣ Chile in a Photography ❣
RMH
Kaledo Art
seen from Spain
seen from TĂĽrkiye
seen from Brazil
seen from Malaysia
seen from United States
seen from United States
seen from United States
seen from United States
seen from United States
seen from United States
seen from T1
seen from United States
seen from United States
seen from Colombia
seen from United States
seen from Brazil
seen from Hungary
seen from Chile
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seen from Malaysia
@vatche-dev
Tainted Pills Are Best Discarded
As engineers, most of the problems we face are technical in nature. But we occasionally have to also deal with issues that come up in our interactions with others. This post is about one such incident I experienced at a previous job, and what I learned from it. For the sake of privacy, I have changed the names of the people and entities involved. Throw it Out We should not be sinking any more…
Deploying a Clojure App: Part 2
This post is the second in a two-part series that covers Railway, a platform that makes deploying applications simple and easy. In this part, we’ll add a database to our Railway deployment and flesh out our application by adding a view to our front end that displays a message pulled by the server from our database. Add a Database Let’s add a database to our Railway deployment. Log in to your…
Deploying a Clojure App: Part 1
This post is the first in a two-part series which covers Railway, a platform that makes deploying applications simple and easy. In this part, we’ll create a simple full-stack Clojure app and deploy it to the web using Railway. There Must Be a Better Way One of my long-term goals is to work for myself building products with software. This would give me the freedom to work on things I care…
Grokking Algorithms #6: Breadth-First Search
This post covers Chapter 6 of Grokking Algorithms, which introduces the graph data structure and the breadth-first search algorithm. Shortest Path Imagine you’re going on vacation and you need someone to watch your pet gecko while you’re gone. His name is Gordon and he’s very picky about who takes care of him. His preference would be to have one of your friends watch him. But if none of them…
Grokking Algorithms #5: Hash Tables
This post covers Chapter 5 of Grokking Algorithms, which introduces hash tables. Hash Table A hash table is a data structure that provides quick access to key-value pairs. It does this by using a hash function to determine where in memory a particular value is stored. Since each key in a hash table must be unique, a key can predictably be translated into a memory offset. Hash Function This…
Grokking Algorithms #4: Divide and Conquer
This post covers Chapter 4 from Grokking Algorithms, which introduces the Divide and Conquer approach as a lead-in to the Quicksort algorithm. Divide and Conquer When I was ten years old, I participated in a weeklong camp program as part of my fifth grade class. The participants were divided into groups, with each group assigned a guide. One night, our guide told a fable about a village in…
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Grokking Algorithms #3
This post covers Chapter 3 from Grokking Algorithms, which focuses on recursion. Recursion Recursion is an unique concept. It’s similar to looping in that you iterate through a collection of items. It’s different in that each iteration depends on the result of all subsequent iterations. A good analogy to recursion is a set of Russian nesting dolls. You start with all of the dolls unnested in a…
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Grokking Algorithms #2
This post covers the algorithm from Chapter 2, selection sort. Imagine you have a row of numbered billiard balls, arranged in a random order and you want to sort them in order from smallest to largest. You start by picking up the first ball and then move down the line, comparing each of the balls in the row to the one in your hand. As soon as you find one with a number smaller than the one…
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Grokking Algorithms #1
I’m awful at algorithms. There, I said it. I could blame my college algorithms professor or the fact that I’ve never had to use fancy algorithms at work. But anytime I’m on the market for a new job, I’m confronted with the inevitable HackerRank or LeetCode challenge and I stumble, remembering my biggest weakness as a software engineer. Now that I’m happy with my current job, I figure it’s a…
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