FEAT-modin-project#7187: Change "master" branch to "main"

Signed-off-by: Igoshev, Iaroslav <[email protected]>

.github/ISSUE_TEMPLATE/bug-report.yaml

@@ -17,7 +17,7 @@ body:
           required: true
         - label: >
             I have confirmed this bug exists on the main branch of Modin. (In order to do this you
-            can follow [this guide](https://modin.readthedocs.io/en/stable/getting_started/installation.html#installing-from-the-github-master-branch).)
+            can follow [this guide](https://modin.readthedocs.io/en/stable/getting_started/installation.html#installing-from-the-github-main-branch).)
   - type: textarea
     id: example
     attributes:

.github/workflows/ci.yml

@@ -6,7 +6,7 @@ on:
       # fuzzydata Github Actions in .github/workflows/fuzzydata-test.yml
       - .github/workflows/**
       - .github/actions/**
-      - '!.github/workflows/push-to-master.yml'
+      - '!.github/workflows/push-to-main.yml'
       - asv_bench/**
       - modin/**
       - requirements/**
@@ -234,10 +234,10 @@ jobs:
         run: |
           git remote add upstream https://github.com/modin-project/modin.git
           git fetch upstream
-          if git diff upstream/master --name-only | grep -q "^asv_bench/"; then
+          if git diff upstream/main --name-only | grep -q "^asv_bench/"; then
               # ASV correctly creates environments for testing only from the branch
-              # with `master` name
-              git checkout -b master
+              # with `main` name
+              git checkout -b main
               cd asv_bench
               asv check -v
 

.github/workflows/codeql.yml

@@ -2,9 +2,9 @@ name: "CodeQL"
 
 on:
   push:
-    branches: [ "master" ]
+    branches: [ "main" ]
   pull_request:
-    branches: [ "master" ]
+    branches: [ "main" ]
 
 concurrency:
   # Cancel other jobs in the same branch. We don't care whether CI passes

.github/workflows/fuzzydata-test.yml

@@ -5,7 +5,7 @@ on:
       # NOTE: keep these paths in sync with the paths that trigger the CI Github
       # Actions in .github/workflows/ci.yml
       - .github/workflows/**
-      - '!.github/workflows/push-to-master.yml'
+      - '!.github/workflows/push-to-main.yml'
       - asv_bench/**
       - modin/**
       - requirements/**

.github/workflows/push-to-master.yml → .github/workflows/push-to-main.yml

@@ -1,8 +1,8 @@
-name: push-to-master
+name: push-to-main
 on:
   push:
     branches:
-      - master
+      - main
 concurrency:
   # Cancel other jobs in the same branch. We don't care whether CI passes
   # on old commits.

README.md

@@ -11,9 +11,9 @@
 
 <p align="center">
 <a href="https://pepy.tech/project/modin"><img src="https://static.pepy.tech/personalized-badge/modin?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads" align="center"></a>
-<a href="https://codecov.io/gh/modin-project/modin"><img src="https://codecov.io/gh/modin-project/modin/branch/master/graph/badge.svg" align="center"/></a>
-<a href="https://github.com/modin-project/modin/actions"><img src="https://github.com/modin-project/modin/workflows/master/badge.svg" align="center"></a>
-<a href="https://github.com/modin-project/modin/actions/workflows/ci.yml?query=event%3Apush"><img src="https://github.com/modin-project/modin/actions/workflows/ci.yml/badge.svg?branch=master" align="center"></a>
+<a href="https://codecov.io/gh/modin-project/modin"><img src="https://codecov.io/gh/modin-project/modin/branch/main/graph/badge.svg" align="center"/></a>
+<a href="https://github.com/modin-project/modin/actions"><img src="https://github.com/modin-project/modin/workflows/main/badge.svg" align="center"></a>
+<a href="https://github.com/modin-project/modin/actions/workflows/ci.yml?query=event%3Apush"><img src="https://github.com/modin-project/modin/actions/workflows/ci.yml/badge.svg?branch=main" align="center"></a>
 <a href="https://pypi.org/project/modin/"><img src="https://badge.fury.io/py/modin.svg" alt="PyPI version" align="center"></a>
 <a href="https://modin.org/modin-bench/#/"><img src="https://img.shields.io/badge/benchmarked%20by-asv-blue.svg" align="center"></a>
 </p>
@@ -29,7 +29,7 @@ to improve user experience.
 
 By simply replacing the import statement, Modin offers users effortless speed and scale for their pandas workflows:
 
-<img src="https://github.com/modin-project/modin/raw/master/docs/img/Import.gif" style="display: block;margin-left: auto;margin-right: auto;" width="100%"></img>
+<img src="https://github.com/modin-project/modin/raw/main/docs/img/Import.gif" style="display: block;margin-left: auto;margin-right: auto;" width="100%"></img>
 
 In the GIFs below, Modin (left) and pandas (right) perform *the same pandas operations* on a 2GB dataset. The only difference between the two notebook examples is the import statement. 
 

asv_bench/README.md

@@ -4,7 +4,7 @@
 
 * Check the impact of the new patch on the performance of a certain set of operations:
 
-  `asv continuous -f 1.05 src/master HEAD -b TimeGroupBy --launch-method=spawn`
+  `asv continuous -f 1.05 src/main HEAD -b TimeGroupBy --launch-method=spawn`
 
 * Check for presence of errors inside of benchmarks after changing them or writing new ones:
 
@@ -61,13 +61,13 @@ the hash in the corresponding result files.
 
 Step 1: checking benchmarks for validity, runs in PRs CI.
   During the test, the benchmarks are run once on small data.
-  The implementation can be found in `test-asv-benchmarks` job of [ci.yml](https://github.com/modin-project/modin/blob/master/.github/workflows/ci.yml)
+  The implementation can be found in `test-asv-benchmarks` job of [ci.yml](https://github.com/modin-project/modin/blob/main/.github/workflows/ci.yml)
 
 Step 2: running benchmarks with saving the results in [modin-bench@master](https://github.com/modin-project/modin-bench).
   The launch takes place on internal server using specific TeamCity configuration.
   The description of the server can be found in the ["Benchmark list"](https://modin.org/modin-bench/#summarylist?sort=0&dir=asc) tab,
   on the left when you hover the mouse over the machine name. 
-  This step starts as scheduled (now every half hour), subject to the presence of new commits in the Modin `master` branch.
+  This step starts as scheduled (now every half hour), subject to the presence of new commits in the Modin `main` branch.
   Command to run benchmarks: `asv run HASHFILE:hashfile.txt --show-stderr --machine xeon-e5 --launch-method=spawn`.
   In the file `hashfile.txt` is the last modin commit hash.
   Writing to a `modin-bench@master` triggers 3 step of the pipeline.

codecov.yml

@@ -4,7 +4,7 @@ coverage:
     project:
       default:
         branches:
-          - master
+          - main
         target: 85%
     patch:
       default:

contributing/contributing.md

@@ -19,9 +19,9 @@ you should reopen your terminal to find "(base)" next to your prompt: ![](conda_
     ```
     git fetch upstream
     ```
-1. Set the default remote branch for your local master branch. 
+1. Set the default remote branch for your local main branch. 
     ```
-     git branch --set-upstream-to=upstream/master master
+     git branch --set-upstream-to=upstream/main main
     ```
 1. Install modin from local source code, and install all its dependencies:
     ```

docs/conf.py

@@ -122,8 +122,8 @@ def noop_decorator(*args, **kwargs):
 # source_suffix = ['.rst', '.md']
 source_suffix = ".rst"
 
-# The master toctree document.
-master_doc = "index"
+# The main toctree document.
+main_doc = "index"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/development/architecture.rst

@@ -348,7 +348,7 @@ details. The documentation covers most modules, with more docs being added every
 .. _Ray: https://github.com/ray-project/ray
 .. _Unidist: https://github.com/modin-project/unidist
 .. _MPI: https://www.mpi-forum.org/
-.. _code: https://github.com/modin-project/modin/blob/master/modin/core/dataframe
+.. _code: https://github.com/modin-project/modin/blob/main/modin/core/dataframe
 .. _Dask: https://github.com/dask/dask
 .. _Dask Futures: https://docs.dask.org/en/latest/futures.html
 .. _issue: https://github.com/modin-project/modin/issues

docs/development/contributing.rst

@@ -53,7 +53,7 @@ with this project or the open source license(s) involved."
 
 
 Code without a proper signoff cannot be merged into the
-master branch. Note: You must use your real name (sorry, no pseudonyms or anonymous
+main branch. Note: You must use your real name (sorry, no pseudonyms or anonymous
 contributions.)
 
 The text can either be manually added to your commit body, or you can add either ``-s``
@@ -228,5 +228,5 @@ More docs on this coming soon...
 .. _Asv: https://github.com/airspeed-velocity/asv#airspeed-velocity
 .. _developer mailing list: https://groups.google.com/forum/#!forum/modin-dev
 .. _Asv dashboard: https://modin.org/modin-bench/#/
-.. _Asv readme: https://github.com/modin-project/modin/blob/master/asv_bench/README.md
-.. _the contributing instructions on GitHub: https://github.com/modin-project/modin/blob/master/contributing/contributing.md
+.. _Asv readme: https://github.com/modin-project/modin/blob/main/asv_bench/README.md
+.. _the contributing instructions on GitHub: https://github.com/modin-project/modin/blob/main/contributing/contributing.md

docs/getting_started/examples.rst

@@ -9,26 +9,26 @@ Usage Examples
 
 The following notebooks demonstrate how Modin can be used for scalable data science:
 
-- Quickstart Guide to Modin [`Source <https://github.com/modin-project/modin/tree/master/examples/quickstart.ipynb>`__]
-- Using Modin with the NYC Taxi Dataset [`Source <https://github.com/modin-project/modin/blob/master/examples/jupyter/Modin_Taxi.ipynb>`__]
-- Modin for Machine Learning with scikit-learn [`Source <https://github.com/modin-project/modin/blob/master/examples/modin-scikit-learn-example.ipynb>`__]
+- Quickstart Guide to Modin [`Source <https://github.com/modin-project/modin/tree/main/examples/quickstart.ipynb>`__]
+- Using Modin with the NYC Taxi Dataset [`Source <https://github.com/modin-project/modin/blob/main/examples/jupyter/Modin_Taxi.ipynb>`__]
+- Modin for Machine Learning with scikit-learn [`Source <https://github.com/modin-project/modin/blob/main/examples/modin-scikit-learn-example.ipynb>`__]
 
 Tutorials
 '''''''''
 
 The following tutorials cover the basic usage of Modin. `Here <https://www.youtube.com/watch?v=NglkafEmbhE>`__ is a one hour video tutorial that walks through these basic exercises.
 
-- Exercise 1: Introduction to Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_1.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_1.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_1.ipynb>`__]
-- Exercise 2: Speed Improvements with Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_2.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_2.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_2.ipynb>`__]
-- Exercise 3: Defaulting to pandas with Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_3.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_3.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_3.ipynb>`__]
+- Exercise 1: Introduction to Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_1.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_1.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_1.ipynb>`__]
+- Exercise 2: Speed Improvements with Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_2.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_2.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_2.ipynb>`__]
+- Exercise 3: Defaulting to pandas with Modin [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_3.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_3.ipynb>`__, `Source HdkOnNative <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/hdk_on_native/local/exercise_3.ipynb>`__]
 
 The following tutorials covers more advanced features in Modin:
 
-- Exercise 4: Experimental Features in Modin (Spreadsheet, Progress Bar) [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_4.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_4.ipynb>`__]
-- Exercise 5: Setting up Modin in a Cluster Environment [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_5.ipynb>`__]
-- Exercise 6: Running Modin in a Cluster Environment [`Source PandasOnRay <https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_6.ipynb>`__]
+- Exercise 4: Experimental Features in Modin (Spreadsheet, Progress Bar) [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/local/exercise_4.ipynb>`__, `Source PandasOnDask <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_dask/local/exercise_4.ipynb>`__]
+- Exercise 5: Setting up Modin in a Cluster Environment [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_5.ipynb>`__]
+- Exercise 6: Running Modin in a Cluster Environment [`Source PandasOnRay <https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_6.ipynb>`__]
 
-How to get required dependencies for the tutorial notebooks and to run them please refer to the respective `README.md <https://github.com/modin-project/modin/tree/master/examples/tutorial/jupyter/README.md>`__ file.
+How to get required dependencies for the tutorial notebooks and to run them please refer to the respective `README.md <https://github.com/modin-project/modin/tree/main/examples/tutorial/jupyter/README.md>`__ file.
 
 Talks & Podcasts
 ''''''''''''''''

docs/getting_started/faq.rst

@@ -194,4 +194,4 @@ Also check out the `Github`_ to view open issues and make contributions.
 .. _Unidist: https://github.com/modin-project/unidist
 .. _papers: https://people.eecs.berkeley.edu/~totemtang/paper/Modin.pdf
 .. _guide: https://modin.readthedocs.io/en/latest/getting_started/installation.html#installing-on-google-colab
-.. _tutorial: https://github.com/modin-project/modin/tree/master/examples/tutorial
+.. _tutorial: https://github.com/modin-project/modin/tree/main/examples/tutorial

docs/getting_started/installation.rst

@@ -7,8 +7,8 @@ Installation
   | If you already installed Modin on your machine, you can skip this section.
 
 There are several ways to install Modin. Most users will want to install with
-``pip`` or using ``conda`` tool, but some users may want to build from the master branch
-on the `GitHub repo`_. The master branch has the most recent patches, but may be less
+``pip`` or using ``conda`` tool, but some users may want to build from the main branch
+on the `GitHub repo`_. The main branch has the most recent patches, but may be less
 stable than a release installed from ``pip`` or ``conda``.
 
 Installing with pip
@@ -168,10 +168,10 @@ With ``conda`` it is also possible to install `Intel Distribution of Modin`_, a
 that is part of Intel\ |reg| oneAPI AI Analytics Toolkit. This version of Modin is powered by :doc:`HDK</development/using_hdk>`
 engine that contains a bunch of optimizations for Intel hardware. More details to get started can be found in the `Intel Distribution of Modin Getting Started`_ guide.
 
-Installing from the GitHub master branch
-----------------------------------------
+Installing from the GitHub main branch
+--------------------------------------
 
-If you'd like to try Modin using the most recent updates from the master branch, you can
+If you'd like to try Modin using the most recent updates from the main branch, you can
 also use ``pip``.
 
 .. code-block:: bash
@@ -219,7 +219,7 @@ Once cloned, ``cd`` into the ``modin`` directory and use ``pip`` to install:
   pip install -e .
   pip install -e ".[all]"  # will install dependencies for all engines
 
-.. _`GitHub repo`: https://github.com/modin-project/modin/tree/master
+.. _`GitHub repo`: https://github.com/modin-project/modin/tree/main
 .. _issue: https://github.com/modin-project/modin/issues
 .. _WSL: https://docs.microsoft.com/en-us/windows/wsl/install-win10
 .. _Ray: http://ray.readthedocs.io

docs/getting_started/quickstart.rst

@@ -3,7 +3,7 @@ Getting Started
 
 .. note:: 
   | *Estimated Reading Time: 10 minutes*
-  | You can follow along this tutorial in a Jupyter notebook `here <https://github.com/modin-project/modin/tree/master/examples/quickstart.ipynb>`_. 
+  | You can follow along this tutorial in a Jupyter notebook `here <https://github.com/modin-project/modin/tree/main/examples/quickstart.ipynb>`_. 
 
 .. toctree::
     :hidden:
@@ -182,5 +182,5 @@ provides.
 
 Note that in this quickstart example, we've only shown ``read_csv``, ``concat``, 
 ``apply``, but these are not the only pandas operations that Modin optimizes for. In 
-fact, Modin covers `more than 90\% of the pandas API <https://github.com/modin-project/modin/blob/master/README.md#pandas-api-coverage>`_, yielding considerable speedups for 
+fact, Modin covers `more than 90\% of the pandas API <https://github.com/modin-project/modin/blob/main/README.md#pandas-api-coverage>`_, yielding considerable speedups for 
 many common operations.

docs/getting_started/using_modin/using_modin_cluster.rst

@@ -122,9 +122,9 @@ Now that we have finished the computation, we need to shut down the cluster with
 .. _`Ray's autoscaler options`: https://docs.ray.io/en/latest/cluster/vms/references/ray-cluster-configuration.html#cluster-config
 .. _`Ray's cluster docs`: https://docs.ray.io/en/latest/cluster/getting-started.html
 .. _`NYC Taxi dataset`: https://modin-datasets.intel.com/testing/yellow_tripdata_2015-01.csv
-.. _`Modin's Ray cluster setup config`: https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/modin-cluster.yaml
+.. _`Modin's Ray cluster setup config`: https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/modin-cluster.yaml
 .. _`Amazon EC2 pricing`: https://aws.amazon.com/ec2/pricing/on-demand/
-.. _`exercise_5.py`: https://github.com/modin-project/modin/blob/master/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_5.py
+.. _`exercise_5.py`: https://github.com/modin-project/modin/blob/main/examples/tutorial/jupyter/execution/pandas_on_ray/cluster/exercise_5.py
 .. _`Ray client`: https://docs.ray.io/en/latest/cluster/running-applications/job-submission/ray-client.html
 .. _`Ray CLI`: https://docs.ray.io/en/latest/cluster/vms/getting-started.html#running-applications-on-a-ray-cluster
 .. _`AWS CLI environment variables`: https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-envvars.html

docs/getting_started/using_modin/using_modin_locally.rst

@@ -75,4 +75,4 @@ improve the performance (and might end up hurting the performance of the system)
    Modin will opt for the default setting.
 
 
-.. _`Jupyter notebook`: https://github.com/modin-project/modin/tree/master/examples/quickstart.ipynb
+.. _`Jupyter notebook`: https://github.com/modin-project/modin/tree/main/examples/quickstart.ipynb