pydna VS article_apply_test_in_jupyter_notebook

Compare pydna vs article_apply_test_in_jupyter_notebook and see what are their differences.

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pydna article_apply_test_in_jupyter_notebook
1 1
152 0
- -
9.4 6.4
7 days ago 8 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pydna

Posts with mentions or reviews of pydna. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.

article_apply_test_in_jupyter_notebook

Posts with mentions or reviews of article_apply_test_in_jupyter_notebook. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-17.
  • Applying tests to Jupyter notebook functions and refactoring old code
    2 projects | dev.to | 17 Sep 2023
    You will notice a lot of difference from the old code to the current one, I created a new project on Github. I created a tag from the old project version. With this I will create the following as the updates that I have defined. I'm finding it really fun to redo this project, because I can see how I've evolved and I can also apply the new knowledge I gained. I changed the entire project and started it, you can see in the versions that it is v.1.0.0. From that point on, none of the code works with the old one.

What are some alternatives?

When comparing pydna and article_apply_test_in_jupyter_notebook you can also consider the following projects:

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

py - Repository to store sample python programs for python learning

cobaltstrike-beacon-data - Open Dataset of Cobalt Strike Beacon metadata (2018-2022)

jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks

replace_query_with_parameter - Replace Query With Parameter

full_spectrum_bioinformatics - An open-access bioinformatics text

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

transient_rotordynamic - transient dynamics of elastic rotors in journal bearings with Julia and Python

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

HyRiver-examples - Example Notebooks for HyRiver software stack