From acd1dfecc99619bf6624f2ce884cf91407d699f9 Mon Sep 17 00:00:00 2001 From: Badr Ouali Date: Thu, 2 Jul 2026 14:06:59 +0400 Subject: [PATCH] renaming VAST-Orbit to Orbit -> It will make all the URLs simpler as the org is already vast-data. -> preparing version to be 0.1.0b2 -> small corrections --- .github/ISSUE_TEMPLATE/config.yml | 2 +- README.md | 46 +++++++++---------- docs/source/_templates/page.html | 6 +-- docs/source/about_us.rst | 7 +-- docs/source/chart_gallery_geo.rst | 2 +- docs/source/cicd.rst | 6 +-- docs/source/conf.py | 6 +-- docs/source/contribution_guidelines.rst | 6 +-- docs/source/contribution_guidelines_code.rst | 2 +- .../contribution_guidelines_code_auto_doc.rst | 2 +- ...ontribution_guidelines_code_setting_up.rst | 2 +- docs/source/examples_business_churn.rst | 2 +- docs/source/examples_business_football.rst | 2 +- .../source/examples_business_smart_meters.rst | 6 +-- docs/source/examples_business_spam.rst | 2 +- docs/source/examples_learn_pokemon.rst | 4 +- docs/source/examples_understand_covid19.rst | 2 +- docs/source/getting_started.rst | 2 +- ...er_guide_data_exploration_correlations.rst | 2 +- ...ata_exploration_descriptive_statistics.rst | 2 +- ...er_guide_machine_learning_introduction.rst | 2 +- ...user_guide_machine_learning_regression.rst | 2 +- docs/source/whats_new_v0_1_0.rst | 2 +- docs/vastorbit-ai-assistant/backend/app.py | 2 +- pyproject.toml | 10 ++-- requirements-testing.txt | 2 +- vastorbit/__init__.py | 4 +- vastorbit/_help.py | 2 +- .../machine_learning/memmodel/naive_bayes.py | 2 +- 29 files changed, 68 insertions(+), 71 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 7fceeda..95e170f 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -1,7 +1,7 @@ blank_issues_enabled: true contact_links: - name: Documentation - url: https://github.com/vast-data/VAST-Orbit/tree/master/docs + url: https://github.com/vast-data/Orbit/tree/master/docs about: Check the documentation for guides and API reference. - name: Slack Community url: https://vastsupport.slack.com diff --git a/README.md b/README.md index 679e0bd..fa22590 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

- +

> **Beta:** VAST Orbit `0.1.x` is the first beta release series. The API and features will change as we work toward a stable `1.0.0`. See [Project Status & Roadmap](#project-status--roadmap). @@ -18,8 +18,8 @@ ## Trailer Video

- - + VAST Orbit — Trailer (click to watch)

@@ -61,7 +61,7 @@ Python has become the lingua franca of data science, offering unparalleled flexi

- +

## Project Status & Roadmap @@ -86,7 +86,7 @@ To install VAST Orbit with pip: pip3 install vastorbit[all] # Latest commit on main branch -pip3 install git+https://github.com/vast-data/VAST-Orbit.git@main +pip3 install git+https://github.com/vast-data/Orbit.git@main ``` To install VAST Orbit from source, run the following command from the root directory: @@ -144,14 +144,14 @@ Dark mode, ideal for extended coding sessions, features a sleek and stylish dark

- +

On the other hand, Light mode serves as the default theme, offering a clean and bright interface for users who prefer a traditional coding ambiance.

- +

Theme can be easily switched by: @@ -185,7 +185,7 @@ SELECT version();

- +

### SQL Plots @@ -203,7 +203,7 @@ To create plots, simply provide the type of plot along with the SQL command.

- +

### Python and SQL Combo @@ -223,7 +223,7 @@ selected_titanic.groupby(columns=["pclass"], expr=["AVG(survived) AS avg_survive

- +

### Charts @@ -234,7 +234,7 @@ A gallery of VAST Orbit-generated charts will be available in the documentation.

- +

### Complete Machine Learning Pipeline @@ -286,7 +286,7 @@ iris_data.scatter(

- +

The **Correlation Matrix** is fast and convenient to compute. Users can choose from a wide variety of correlations, including Cramer, Spearman, Pearson, etc. @@ -300,7 +300,7 @@ titanic.corr(method="spearman")

- +

By turning on the SQL print option, users can see and copy SQL queries: @@ -319,7 +319,7 @@ titanic.corr(method="spearman", focus="survived")

- +

#### Data Preparation @@ -338,7 +338,7 @@ data.outliers_plot(columns="Heights")

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#### Machine Learning @@ -372,7 +372,7 @@ cross_validate(

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### Loading Predefined Datasets @@ -391,7 +391,7 @@ iris_data = load_iris()

- +

(2) Use the standard name of the dataset from the schema: @@ -404,7 +404,7 @@ iris_data = vo.VastFrame(input_relation="public.iris")

- +

## Quickstart @@ -452,7 +452,7 @@ vdf = load_titanic()

- +

Examine your data: @@ -463,7 +463,7 @@ vdf.describe()

- +

Print the SQL query with `set_option`: @@ -513,7 +513,7 @@ cross_validate(

- +

Train and deploy the model: @@ -532,7 +532,7 @@ model.features_importance()

- +

ROC Curve: @@ -544,7 +544,7 @@ model.roc_curve()

- +

Once trained, the model can be deployed in the database for high-performance predictions _(in-database deployment availability and limitations vary by algorithm — see [Project Status & Roadmap](#project-status--roadmap))_. diff --git a/docs/source/_templates/page.html b/docs/source/_templates/page.html index 430e9e3..d5aa144 100644 --- a/docs/source/_templates/page.html +++ b/docs/source/_templates/page.html @@ -48,7 +48,7 @@ at scale, directly on the VAST Data Platform.

@@ -612,7 +612,7 @@ Home About Us API Reference - GitHub + GitHub