Apply suggestions from code review

Clean up the #skip comments for some python blocks

Co-authored-by: David Berenstein <david.m.berenstein@gmail.com>

Author: cianc

docs/getting-started/examples.md

@@ -14,7 +14,7 @@ But you can't get them in your code, see the Context Manager section
 below for that.
 
 ```python
-# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc
+# skip mktestdocs
 # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which 
 # would slow things down further.
 import tensorflow as tf
@@ -53,7 +53,7 @@ We think this is the best way to use CodeCarbon. Still only two lines of
 code, and you can get the emissions in your code.
 
 ```python
-# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc
+# skip mktestdocs
 # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which 
 # would slow things down further.
 import tensorflow as tf
@@ -102,7 +102,7 @@ background after your computation code has crashed, so your program will
 never finish.
 
 ```python
-# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc
+# skip mktestdocs
 # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which 
 # would slow things down further.
 import tensorflow as tf

docs/introduction/power_estimation.md

@@ -23,7 +23,8 @@ The `Power.from_energies_and_delay` method handles this operation:
 
 ```python
 from codecarbon.core import units
-energy_now= units.Energy(kWh=1.0)
+
+energy_now = units.Energy(kWh=1.0)
 energy_previous = units.Energy(kWh=0.5)
 delay = units.Time(seconds=3600.0)
 delta_energy_kwh = float(abs(energy_now.kWh - energy_previous.kWh))

docs/logging/output.md

@@ -63,7 +63,7 @@ docker-compose up
 Run your EmissionsTracker as usual, with `save_to_prometheus=True`:
 
 ```python
-# skip mktestdocs testing because this would try to save to prometheus
+# skip mktestdocs
 tracker = OfflineEmissionsTracker(
     project_name="my_project",
     country_iso_code="USA",
@@ -87,7 +87,7 @@ CodeCarbon exposes all its metrics with the suffix `codecarbon_`.
 Run your EmissionsTracker as usual, with `save_to_logfire=True`:
 
 ```python
-# skip mktestdocs testing because this would try to save to logfire
+# skip mktestdocs
 tracker = OfflineEmissionsTracker(
     project_name="my_project",
     country_iso_code="USA",

docs/logging/to_logger.md

@@ -21,7 +21,7 @@ or cloud-based collector.
 ### Python logger
 
 ```python
-# skip mktestdocs testing because this relies on a separate logger
+# skip mktestdocs
 import logging
 
 # Create a dedicated logger (log name can be the CodeCarbon project name for example)
@@ -42,7 +42,7 @@ my_logger = LoggerOutput(_logger, logging.INFO)
 ### Google Cloud Logging
 
 ```python
-# skip mktestdocs testing because this requires cloud logging
+# skip mktestdocs
 import google.cloud.logging
 
 
@@ -64,7 +64,7 @@ Create an EmissionTracker saving output to the logger. Other save
 options are still usable and valid.
 
 ```python
-# skip mktestdocs testing because this requires creation of a logger
+# skip mktestdocs
 tracker = EmissionsTracker(save_to_logger=True, logging_logger=my_logger)
 tracker.start()
 # Your code here