Small edits (#171)

docs/deploying_clearml/clearml_server_linux_mac.md

@@ -8,16 +8,16 @@ This documentation page applies to deploying your own open source ClearML Server
 
 Deploy the **ClearML Server** in Linux or macOS using the pre-built Docker image.
 
-For **ClearML** docker images, including previous versions, see [https://hub.docker.com/r/allegroai/clearml](https://hub.docker.com/r/allegroai/clearml). 
+For ClearML docker images, including previous versions, see [https://hub.docker.com/r/allegroai/clearml](https://hub.docker.com/r/allegroai/clearml). 
-However, pulling the **ClearML** Docker image directly is not required. We provide a docker-compose YAML file that does this. 
+However, pulling the ClearML Docker image directly is not required. We provide a docker-compose YAML file that does this. 
 The docker-compose file is included in the instructions on this page.
 
-For information about upgrading **ClearML Server** in Linux or macOS, see [here](upgrade_server_linux_mac.md)
+For information about upgrading ClearML Server in Linux or macOS, see [here](upgrade_server_linux_mac.md)
 
 :::important
-If **ClearML Server** is being reinstalled, we recommend clearing browser cookies for **ClearML Server**. For example, 
+If ClearML Server is being reinstalled, we recommend clearing browser cookies for ClearML Server. For example, 
 for Firefox, go to Developer Tools > Storage > Cookies, and for Chrome, go to Developer Tools > Application > Cookies,
-and delete all cookies under the **ClearML Server** URL.
+and delete all cookies under the ClearML Server URL.
 :::
 
 
@@ -28,17 +28,17 @@ For Linux users only:
 * Linux distribution must support Docker. For more information, see this [explanation](https://docs.docker.com/engine/install/) in the Docker documentation. 
 * Be logged in as a user with `sudo` privileges.
 * Use `bash` for all command-line instructions in this installation.
-* The ports `8080`, `8081`, and `8008` must be available for the **ClearML Server** services.
+* The ports `8080`, `8081`, and `8008` must be available for the ClearML Server services.
 
 ## Deploying
 
 
 :::warning
-By default, **ClearML Server** launches with unrestricted access. To restrict **ClearML Server** access, follow the 
+By default, ClearML Server launches with unrestricted access. To restrict ClearML Server access, follow the 
 instructions in the [Security](clearml_server_security.md) page.
 :::
 
-**To launch **ClearML Server** on Linux or macOS:**
+**To launch ClearML Server on Linux or macOS:**
 
 1. Install Docker. The instructions depend upon the operating system:
 
@@ -85,7 +85,7 @@ instructions in the [Security](clearml_server_security.md) page.
             screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
             sysctl -w vm.max_map_count=262144
 
-1. Remove any previous installation of **ClearML Server**.
+1. Remove any previous installation of ClearML Server.
 
     **This clears all existing ClearML SDK databases.**
 
@@ -119,11 +119,11 @@ instructions in the [Security](clearml_server_security.md) page.
 
             sudo chown -R $(whoami):staff /opt/clearml
 
-1. Download the **ClearML Server** docker-compose YAML file.
+1. Download the ClearML Server docker-compose YAML file.
 
         sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
 
-1. For Linux only, configure the **ClearML Agent Services**. If `CLEARML_HOST_IP` is not provided, then **ClearML Agent Services** uses the external public address of the **ClearML Server**. If `CLEARML_AGENT_GIT_USER` / `CLEARML_AGENT_GIT_PASS` are not provided, then **ClearML Agent Services** can't access any private repositories for running service tasks.
+1. For Linux only, configure the **ClearML Agent Services**. If `CLEARML_HOST_IP` is not provided, then ClearML Agent Services uses the external public address of the **ClearML Server**. If `CLEARML_AGENT_GIT_USER` / `CLEARML_AGENT_GIT_PASS` are not provided, then **ClearML Agent Services** can't access any private repositories for running service tasks.
 
         export CLEARML_HOST_IP=server_host_ip_here
         export CLEARML_AGENT_GIT_USER=git_username_here
@@ -137,7 +137,7 @@ The server is now running on [http://localhost:8080](http://localhost:8080).
  
 ## Port Mapping
 
-After deploying **ClearML Server**, the services expose the following ports:
+After deploying ClearML Server, the services expose the following ports:
 
 * Web server on port `8080`
 * API server on port `8008`

docs/guides/frameworks/pytorch/pytorch_mnist.md

@@ -3,7 +3,7 @@ title: PyTorch MNIST
 ---
 
 The [pytorch_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py) example 
-demonstrates the integration of **ClearML** into code that uses PyTorch. 
+demonstrates the integration of ClearML into code that uses PyTorch. 
 
 The example script does the following:
 * Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist)

docs/guides/ide/google_colab.md

@@ -30,19 +30,20 @@ and running, users can send Tasks to be executed on the Google Colab's HW.
    This environment variable makes Matplotlib work in headless mode, so it won't output graphs to the screen.
    
 1. Create new credentials.   
-   Go to your **profile** in the [ClearML WebApp](https://app.clear.ml). Under the **WORKSPACES** section, 
+   Go to your [**Settings**](https://app.clear.ml/settings/workspace-configuration) page > **WORKSPACE** section. 
-   go to **App Credentials**, click **+ Create new credentials**, and copy the information that pops up. 
+   Under **App Credentials**, click **+ Create new credentials**, and copy the information that pops up. 
    
 1. Set the credentials.  
    In the third cell, enter your own credentials:
    ```python
    from clearml import Task
    
-   Task.set_credentials(api_host="https://api.community.clear.ml", 
+   Task.set_credentials(
-                        web_host="https://app.community.clear.ml", 
+        api_host="https://api.community.clear.ml", 
-                        files_host="https://files.community.clear.ml", 
+        web_host="https://app.community.clear.ml", 
-                        key='6ZHX9UQMYL874A1NE8', 
+        files_host="https://files.community.clear.ml", 
-                        secret='=2h6#%@Y&m*tC!VLEXq&JI7QhZPKuJfbaYD4!uUk(t7=9ENv'
+        key='6ZHX9UQMYL874A1NE8', 
+        secret='=2h6#%@Y&m*tC!VLEXq&JI7QhZPKuJfbaYD4!uUk(t7=9ENv'
    )
    ```
    

docs/guides/reporting/clearml_logging_example.md

@@ -196,7 +196,12 @@ logger.report_media('audio', 'pink panther', iteration=1, local_path=audio_local
 ### HTML
 
 ```python
-logger.report_media("html", "url_html", iteration=1, url="https://clear.ml/docs/latest/docs/index.html")
+logger.report_media(
+    "html", 
+    "url_html", 
+    iteration=1, 
+    url="https://clear.ml/docs/latest/docs/index.html"
+)
 ```
 
 ![HTML sample](../../img/colab_explicit_reporting_09.png)

docs/guides/reporting/html_reporting.md

@@ -21,7 +21,12 @@ See the example script's [report_html_url](https://github.com/allegroai/clearml/
 function, which reports the ClearML documentation's home page.
 
 ```python
-Logger.current_logger().report_media("html", "url_html", iteration=iteration, url="https://clear.ml/docs/latest/docs/index.html")
+Logger.current_logger().report_media(
+    "html", 
+    "url_html", 
+    iteration=iteration, 
+    url="https://clear.ml/docs/latest/docs/index.html"
+)
 ```
 
 ## Reporting HTML Local Files