DOCS-#3863: Add usage guide to documentation (#3864)

Co-authored-by: Naren Krishna <92325366+naren-ponder@users.noreply.github.com>
Co-authored-by: Dmitry Chigarev <dmitry.chigarev@intel.com>
Co-authored-by: Aditya Parameswaran <adityagp@gmail.com>
Co-authored-by: Dmitry Chigarev <62142979+dchigarev@users.noreply.github.com>
Co-authored-by: Doris Lee <dorisjunglinlee@gmail.com>
Co-authored-by: Devin Petersohn <devin-petersohn@users.noreply.github.com>
Signed-off-by: Igoshev, Yaroslav <yaroslav.igoshev@intel.com>

docs/development/architecture.rst

@@ -354,4 +354,4 @@ details. The documentation covers most modules, with more docs being added every
 .. _issue: https://github.com/modin-project/modin/issues
 .. _Discourse: https://discuss.modin.org
 .. _task parallel: https://en.wikipedia.org/wiki/Task_parallelism
-.. _experimental features: /advanced_usage/index.html
+.. _experimental features: /usage_guide/advanced_usage/index.html

docs/flow/modin/config.rst

@@ -1,10 +1,12 @@
 :orphan:
 
-Config Module Overview
-""""""""""""""""""""""
+Modin Configuration Settings
+""""""""""""""""""""""""""""
 
-Using this module, the user can tune Modin's behavior. To see
-all avaliable configs just run `python -m modin.config`, this command will print all
+To adjust Modin's default behavior, you can set the value of Modin
+configs by setting an environment variable or by using the
+``modin.config`` API. To list all avaliable configs in Modin, please
+run ``python -m modin.config`` to print all
 Modin configs with descriptions.
 
 Public API
@@ -28,7 +30,7 @@ Modin Configs List
 Usage Guide
 '''''''''''
 
-See example of interation with Modin configs below, as it can be seen config
+See example of interaction with Modin configs below, as it can be seen config
 value can be set either by setting the environment variable or by using config
 API.
 

docs/flow/modin/distributed/dataframe/pandas.rst

@@ -1,5 +1,5 @@
-Pandas Partition API
-====================
+Pandas partitioning API
+=======================
 
 This page contains a description of the API to extract partitions from and build Modin Dataframes.
 

docs/getting_started/examples.rst

@@ -1,20 +1,20 @@
-Examples and Resources 
+Examples and Resources
 ======================
 
-Here you can find additional resources to learn about Modin. To learn more about 
-advanced usage for Modin, please refer to :doc:`this section </advanced_usage/index>`.
+Here you can find additional resources to learn about Modin. To learn more about
+advanced usage for Modin, please refer to :doc:`this section </usage_guide/index>`.
 
 Usage Examples
 --------------
 
-The following notebooks demonstrate how Modin can be used for scalable data science: 
+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/NYC_Taxi.ipynb>`_] 
-- Using Experimental Modin in the cloud with the NYC Taxi Dataset on a AWS cluster [`Source <https://github.com/modin-project/modin/blob/master/examples/jupyter/NYC_Taxi_cloud.ipynb>`_] 
-- Modin for Machine Learning with scikit-learn [`Source <https://github.com/modin-project/modin/blob/master/examples/modin-scikit-learn-example.ipynb>`_] 
+- Using Modin with the NYC Taxi Dataset [`Source <https://github.com/modin-project/modin/blob/master/examples/jupyter/NYC_Taxi.ipynb>`_]
+- Using Experimental Modin in the cloud with the NYC Taxi Dataset on a AWS cluster [`Source <https://github.com/modin-project/modin/blob/master/examples/jupyter/NYC_Taxi_cloud.ipynb>`_]
+- Modin for Machine Learning with scikit-learn [`Source <https://github.com/modin-project/modin/blob/master/examples/modin-scikit-learn-example.ipynb>`_]
 
-Tutorials  
+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.
@@ -24,7 +24,7 @@ The following tutorials cover the basic usage of Modin. `Here <https://www.youtu
 - Exercise 3: Defaulting to pandas with Modin [`Source <https://github.com/modin-project/modin/blob/master/examples/tutorial/tutorial_notebooks/introduction/exercise_3.ipynb>`_]
 
 
-The following tutorials covers more advanced features in Modin: 
+The following tutorials covers more advanced features in Modin:
 
 - Exercise 4: Experimental Features in Modin (Spreadsheet, Progress Bar) [`Source <https://github.com/modin-project/modin/blob/721d2d2fe2a46d3b7442e1ab2c7b70ad3bff0712/examples/tutorial/tutorial_notebooks/introduction/exercise_4.ipynb>`_]
 - Exercise 5: Setting up Modin in a Cluster Environment [`Source <https://github.com/modin-project/modin/blob/721d2d2fe2a46d3b7442e1ab2c7b70ad3bff0712/examples/tutorial/tutorial_notebooks/cluster/exercise_5.ipynb>`_]
@@ -33,14 +33,14 @@ The following tutorials covers more advanced features in Modin:
 Talks & Podcasts
 ----------------
 
-- `Scaling Interactive Data Science with Modin and Ray <https://www.youtube.com/watch?v=ycSf1IbBGWk>`_ (20 minute, Ray Summit 2021) 
-- `Unleash The Power Of Dataframes At Any Scale With Modin <https://www.pythonpodcast.com/modin-parallel-dataframe-episode-324/>`_  (40 minute, Python Podcast 2021) 
+- `Scaling Interactive Data Science with Modin and Ray <https://www.youtube.com/watch?v=ycSf1IbBGWk>`_ (20 minute, Ray Summit 2021)
+- `Unleash The Power Of Dataframes At Any Scale With Modin <https://www.pythonpodcast.com/modin-parallel-dataframe-episode-324/>`_  (40 minute, Python Podcast 2021)
 - `[Russian] Distributed Data Processing and XGBoost Training and Prediction with Modin <https://www.youtube.com/watch?v=oo_lxUjsFTM&t=1s>`_ (30 minute, PyCon Russia 2021)
 - `[Russian] Efficient Data Science with Modin <https://www.youtube.com/watch?v=cOM82kHRwkM&t=6568s>`_ (30 minute, ISP RAS Open 2021)
-- `Modin: Scaling the Capabilities of the Data Scientist, not the Machine <https://www.youtube.com/watch?v=NglkafEmbhE>`_ (1 hour, RISE Camp 2020) 
-- `Modin: Pandas Scalability with Devin Petersohn <https://softwareengineeringdaily.com/2020/07/23/modin-pandas-scalability-with-devin-petersohn/>`_ (1 hour, Software Engineering Daily Podcast 2020) 
-- `Introduction to the DataFrame and Modin <https://www.youtube.com/watch?v=_0eVVLXrtfY>`_ (20 minute, RISECamp 2019) 
-- `Scaling Interactive Pandas Workflows with Modin <hhttps://www.youtube.com/watch?v=-HjLd_3ahCw>`_ (40 minute, PyData NYC 2018) 
+- `Modin: Scaling the Capabilities of the Data Scientist, not the Machine <https://www.youtube.com/watch?v=NglkafEmbhE>`_ (1 hour, RISE Camp 2020)
+- `Modin: Pandas Scalability with Devin Petersohn <https://softwareengineeringdaily.com/2020/07/23/modin-pandas-scalability-with-devin-petersohn/>`_ (1 hour, Software Engineering Daily Podcast 2020)
+- `Introduction to the DataFrame and Modin <https://www.youtube.com/watch?v=_0eVVLXrtfY>`_ (20 minute, RISECamp 2019)
+- `Scaling Interactive Pandas Workflows with Modin <hhttps://www.youtube.com/watch?v=-HjLd_3ahCw>`_ (40 minute, PyData NYC 2018)
 
 Community contributions
 -----------------------
@@ -57,7 +57,7 @@ Here are some blogposts and articles about Modin:
 - `How To Accelerate Pandas With Just One Line Of Code by Analytics India <https://analyticsindiamag.com/how-to-accelerate-pandas-with-just-one-line-of-code-modin/>`_
 
 
-Here are some articles contributed by the international community: 
+Here are some articles contributed by the international community:
 
 - `[Chinese] 用 Modin 来提速 pandas 工作流程 by Python Chinese Community <https://blog.csdn.net/BF02jgtRS00XKtCx/article/details/90709222>`_
 - `[German] Was ist Modin? by Dipl.-Ing. (FH) Stefan Luber <https://www.bigdata-insider.de/was-ist-modin-a-982826/>`_