TUI-apps
dagster
Our great sponsors
TUI-apps | dagster | |
---|---|---|
25 | 46 | |
481 | 10,173 | |
- | 4.8% | |
6.7 | 10.0 | |
4 months ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
TUI-apps
- Show HN: Interactive TUI App for Python Regex Exercises
- Show HN: Interactive exercises for GNU grep, sed and Awk
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Show HN: CLI text processing with GNU sed (eBook)
Hello!
I am pleased to announce a new version of my "CLI text processing with GNU sed" ebook. This book heavily leans on examples to present features one by one. In addition to sed commands and options, regular expressions are also discussed in detail.
Links:
* PDF/EPUB versions: https://learnbyexample.gumroad.com/l/gnu_sed (free for a few days)
* Web version: https://learnbyexample.github.io/learn_gnused/ (always free)
* Markdown source, example files, etc: https://github.com/learnbyexample/learn_gnused
* Interactive TUI app for exercises: https://github.com/learnbyexample/TUI-apps/blob/main/SedExercises
I would highly appreciate it if you'd let me know how you felt about this book. It could be anything from a simple thank you, pointing out a typo, mistakes in code snippets, which aspects of the book worked for you (or didn't!) and so on. Reader feedback is essential and especially so for self-published authors.
Happy learning :)
- Show HN: Interactive TUI app for Python regex exercises
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Learn GNU grep and ripgrep with hundreds of examples and exercises
I also wrote an interactive TUI app based on some of the exercises from the ebook. Reference solutions are provided for both GNU grep and ripgrep.
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Good project to make the transition from terminal to GUI?
These days I prefer coding TUI apps using Textual (see my repo https://github.com/learnbyexample/TUI-apps for examples) since I find this framework easier to work with and I don't need full GUI features for my projects.
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What are some good online resources with regex problems (and solutions)?
This year I started updating my existing books and I'm also creating interactive apps. Here's one for Python regex: https://github.com/learnbyexample/TUI-apps/blob/main/PyRegexExercises. Next is grep.
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TUI app with 100+ interactive Python Regex exercises
Having an interactive program that automatically loads questions and checks the solution is wonderful to have while learning a topic. I wrote a TUI app that has beginner to advanced level exercises for Python regular expressions. There are more than 100 exercises covering both the builtin re and third-party regex modules.
- Show HN: Interactive Exercises for Python Regular Expressions
- PyRegexExercises – TUI to practice Python regex
dagster
- Experience with Dagster.io?
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Dagster tutorials
My recommendation is to continue on with the tutorial, then look at one of the larger example projects especially the ones named “project_”, and you should understand most of it. Of what you don't understand and you're curious about, look into the relevant concept page for the functions in the docs.
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The Dagster Master Plan
I found this example that helped me - https://github.com/dagster-io/dagster/tree/master/examples/project_fully_featured/project_fully_featured
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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The Why and How of Dagster User Code Deployment Automation
In Helm terms: there are 2 charts, namely the system: dagster/dagster (values.yaml), and the user code: dagster/dagster-user-deployments (values.yaml). Note that you have to set dagster-user-deployments.enabled: true in the dagster/dagster values-yaml to enable this.
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Best Orchestration Tool to run dbt projects?
Dagster seemed really cool when I looked into it as an alternative to airflow. I especially like the software defined assets and built-in lineage which I haven't seen in any other tool. However it seems it does not support RBAC which is a pretty big issue if you want a self-service type of architecture, see https://github.com/dagster-io/dagster/issues/2219. It does seem like it's available in their hosted version, but I wanted to run it myself on k8s.
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dbt Cloud Alternatives?
Dagster? https://dagster.io
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What's the best thing/library you learned this year ?
One that I haven't seen on here yet: dagster
- Anyone have an example of a project where a handful of the more popular Python tools are used? (E.g. airbyte, airflow, dbt, and pandas)
- Can we take a moment to appreciate how much of dataengineering is open source?
What are some alternatives?
textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
epy - CLI Ebook (epub2, epub3, fb2, mobi) Reader
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
bubbletea - A powerful little TUI framework 🏗
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
pydantic - Data validation using Python type hints
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
streamlit - Streamlit — A faster way to build and share data apps.
MLflow - Open source platform for the machine learning lifecycle
learn_gnused - Example based guide to mastering GNU sed
meltano