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lab_pipes/pyproject.toml
angelotr ac65cd1ac5 In this assignment I fixed pipeline commands to correctly filter, count, and organize words while fixing errors that I might come across.
I thought this lab was really cool. From Unit 1 it felt different because I was working with using commands such as cat and using the straight line which was
totally different from before. The codes from Unit 1 compared to Unit 2 look completely different and more intimadating. In terms of learning, this kind of thinking
felt fimiliar becuase I took computing courses that lookk familiar. The way I used terminal felt so different compared to Unit 1 because for Unit 1 it seemed
to be more straight torward whereas so far in Unit 2 it has all these other commands seperated with the '|' symbol. Working on this lab made me realize how cool it
was to use code to find specific words with specific requirments rather than looking one at a time. I got stuck on the last 3 problems of the exercise and what I
did to get unstuck is I messaged one of the students and asked for help. I have just now started getting help from my peers because I have some in my in-person classes
so it makes it easier to comunication about the lessons.
2025-10-01 16:42:39 -04:00

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TOML

[project]
name = "lab-pipes"
version = "0.1.0"
description = ""
authors = [
{name = "Chris Proctor",email = "chris@chrisproctor.net"}
]
license = {text = "MIT"}
readme = "README.md"
requires-python = ">=3.10,<4.0"
dependencies = [
"wordflow (>=0.2.4,<0.3.0)",
"setuptools (>=80.9.0,<81.0.0)"
]
[build-system]
requires = ["poetry-core>=2.0.0,<3.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
package-mode = false