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My Thoughts on Bradfield

I've been asked by several people over time about my experience with the classes offered by Bradfield, and thought that I should save some future keystrokes by writing up a short gist for future reference. Hopefully this gist will be useful for others who are considering Bradfield and wondering it is worth it. My intended audience is primarily Launch School students who have completed the Core program and likely also Capstone, but the majority of this gist will be applicable to anyone who is a working/experienced software engineer.

Since late 2019, I've taken 4 short courses from the Bradfield School of Computer Science and in 2021 I enrolled in their Computer Science Intensive (CSI) program¹. Overall, I've found the courses and CSI to be an excellent opportunity to grown my technical skills and broaden my knowledge of CS topics.

The courses I completed were:

Computer Architecture: The Hardware/Software Interface

Deobfuscating / Unminifying Obfuscated Web App Code

	Go to Bitbucket and create a new repository (its better to have an empty repo)
	git clone git@bitbucket.org:abc/myforkedrepo.git
	cd myforkedrepo

	Now add Github repo as a new remote in Bitbucket called "sync"
	git remote add sync git@github.com:def/originalrepo.git

	Verify what are the remotes currently being setup for "myforkedrepo". This following command should show "fetch" and "push" for two remotes i.e. "origin" and "sync"
	git remote -v

	var _instance_num := -1
	var _instance_socket: TCPServer

	func _init() -> void:
	if OS.is_debug_build():
	_instance_socket = TCPServer.new()
	for n in range(0,4):
	if _instance_socket.listen(5000 + n) == OK:
	_instance_num = n
	break

	"""
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	╚═╝ ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝
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	import vertexai
	from vertexai.generative_models import GenerativeModel, ChatSession

	vertexai.init(project=project, location=location)
	model = GenerativeModel("gemini-1.5-pro-preview-0409")
	chat = model.start_chat()

	def get_chat_response(chat: ChatSession, prompt: str) -> str:
	text_response = []
	responses = chat.send_message(prompt, stream=True)

	{
	"workbench.startupEditor": "newUntitledFile",
	"editor.fontSize": 14,
	"editor.lineHeight": 1.8,
	"javascript.suggest.autoImports": true,
	"javascript.updateImportsOnFileMove.enabled": "always",
	"editor.rulers": [80, 120],
	"extensions.ignoreRecommendations": true,
	"typescript.tsserver.log": "off",
	"files.associations": {

	import numpy as np
	from tqdm import trange


	def get_neighbour_matrix(x, L, R):
	dx = np.subtract.outer(x[:, 0], x[:, 0])
	dy = np.subtract.outer(x[:, 1], x[:, 1])
	dx[dx > (L / 2) 2] -= (L / 2) 2
	dy[dy > (L / 2) 2] -= (L / 2) 2
	pair_dist = dx 2 + dy 2

	#!/bin/sh

	if [[ $(whoami) != "root" ]]
	then echo "Please run as root"
	exit 1
	fi
	if [ "$(ls /bin \| grep trizen)" == "trizen" ]
	then
	PKGMAN=trizen
	else

	#!/bin/bash
	brew list \| while read cask; do echo -ne "\x1B[1;34m $cask \x1B[0m"; brew uses $cask --installed \| awk '{printf(" %s ", $0)}'; echo ""; done

Discover gists

My Thoughts on Bradfield

Deobfuscating / Unminifying Obfuscated Web App Code

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