Small edits (#1033)

docs/clearml_data/clearml_data.md

@@ -36,14 +36,14 @@ lineage and content information. See [dataset UI](../webapp/datasets/webapp_data
 
 ## Setup
 
-`clearml-data` comes built-in with the `clearml` python package! Check out the [Getting Started](../getting_started/ds/ds_first_steps.md) 
+`clearml-data` comes built-in with the `clearml` Python package! Check out the [Getting Started](../getting_started/ds/ds_first_steps.md) 
 guide for more info!
 
 ## Using ClearML Data
 
 ClearML Data supports two interfaces:
 - `clearml-data` - A CLI utility for creating, uploading, and managing datasets. See [CLI](clearml_data_cli.md) for a reference of `clearml-data` commands.
-- `clearml.Dataset` - A python interface for creating, retrieving, managing, and using datasets. See [SDK](clearml_data_sdk.md) for an overview of the basic methods of the `Dataset` module.
+- `clearml.Dataset` - A Python interface for creating, retrieving, managing, and using datasets. See [SDK](clearml_data_sdk.md) for an overview of the basic methods of the `Dataset` module.
 
 For an overview of recommendations for ClearML Data workflows and practices, see [Best Practices](best_practices.md).
 

docs/clearml_data/clearml_data_cli.md

@@ -7,7 +7,7 @@ This page covers `clearml-data`, ClearML's file-based data management solution.
 See [Hyper-Datasets](../hyperdatasets/overview.md) for ClearML's advanced queryable dataset management solution.
 :::
 
-`clearml-data` is a data management CLI tool that comes as part of the `clearml` python package. Use `clearml-data` to 
+`clearml-data` is a data management CLI tool that comes as part of the `clearml` Python package. Use `clearml-data` to 
 create, modify, and manage your datasets. You can upload your dataset to any storage service of your choice (S3 / GS / 
 Azure / Network Storage) by setting the dataset's upload destination (see [`--storage`](#upload)). Once you have uploaded 
 your dataset, you can access it from any machine. 

docs/clearml_data/clearml_data_sdk.md

@@ -7,7 +7,7 @@ This page covers `clearml-data`, ClearML's file-based data management solution.
 See [Hyper-Datasets](../hyperdatasets/overview.md) for ClearML's advanced queryable dataset management solution.
 :::
 
-Datasets can be created, modified, and managed with ClearML Data's python interface. You can upload your dataset to any 
+Datasets can be created, modified, and managed with ClearML Data's Python interface. You can upload your dataset to any 
 storage service of your choice (S3 / GS / Azure / Network Storage) by setting the dataset's upload destination (see 
 [`output_url`](#uploading-files) parameter of `Dataset.upload()`). Once you have uploaded your dataset, you can access 
 it from any machine.  

docs/clearml_data/data_management_examples/data_man_cifar_classification.md

@@ -10,7 +10,7 @@ class to ingest the data.
 ### Downloading the Data
 Before registering the CIFAR dataset with `clearml-data`, you need to obtain a local copy of it.
 
-Execute this python script to download the data:
+Execute this Python script to download the data:
 ```python
 from clearml import StorageManager