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Magic-SSG Alternatives
Similar projects and alternatives to Magic-SSG
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Magic-SSG alternative or higher similarity.
Magic-SSG reviews and mentions
Posts with mentions or reviews of Magic-SSG.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-19.
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Lab10 Packaging and Releasing SSG
[metadata] name = magic-ssg version = 0.9.1 author = Tengzhen Zhao author_email = [email protected] description = A simple Static Site Generator tool, and it can help you to generate .html from .txt and .md files. long_description = file: README.md long_description_content_type = text/markdown url = https://github.com/Yoda-Canada/Magic-SSG project_urls = Bug Tracker = https://github.com/Yoda-Canada/Magic-SSG/issues classifiers = Programming Language :: Python :: 3 License :: OSI Approved :: MIT License Operating System :: OS Independent [options] package_dir = = src packages = find: python_requires = >=3.8.5 [options.packages.find] where = src
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Lab9 Continuous Integration Pipelines and Test Automation
I create a new branch named lab9, and add a new file named test_md_txt_title.py. After all function passed, I push the branch to the remote and pull a new PR. After GitHub Action passed the PR, I merged it.
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Working with Remote Branches
This week on my Open Source journey, I attempted to add support for JSON formatted configuration files for an open source Static Site Generator (SSG). The owner of the repo, Tengzhen, also contributed the same feature to my SSG, Silkie. However, I made a step forward by testing his code from a tracking branch before merging it.
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Review Lab 1
I find my partner- Le Minh Pham - through Slack and we both prefer Python. I just started learning Python, but he should be an expert. I learned some new libraries and methods after testing and reviewing Le’s code. I am surprised at the beautiful structure of his code. My partner helped me solve a big problem of finding folders, so I’m lucky to have such a partner. Reviewing and testing code is an exciting and painful thing for me. I'm excited because I can learn a lot of skills from my partner. For example, the original code only has one file, but after optimization, it has four files, and many auxiliary functions are added, and the structure is clearer. The pain is because as a new language, it takes me a long time to review and test it. Especially, my partner is very diligent. His code changes a lot every few days. Based on my level, it’s hard to find issues about his constantly improving code. Despite all this, I can still find problems and put forward what needs to be improved. For example, the issue “--input folder command line isn't working” https://github.com/lmpham1/cool_ssg_generator/issues/2 I also give some suggestion, for example, https://github.com/lmpham1/cool_ssg_generator/issues/3 There are 2 main issues about my code. https://github.com/Yoda-Canada/Magic-SSG/issues/1. https://github.com/Yoda-Canada/Magic-SSG/issues/2. Le give me lots of suggestion to fix the bugs, and I am fixing them. This lab is very important for me, because a lot of basic knowledge needs to be learned, and it also help me to recall the knowledge I learned before. I am confident to complete the future project
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
Basic Magic-SSG repo stats
4
0
0.0
over 2 years ago
Yoda-Canada/Magic-SSG is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Magic-SSG is Python.
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