• File size measurements show the distribution of size of files.
• Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
• It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

• There are 130 files with 55,191 lines of code.
• 9 very long files (11,835 lines of code)
• 40 long files (27,985 lines of code)
• 35 medium size files (13,001 lines of codeclsfd_ftr_w_mp_ins)
• 9 small files (1,314 lines of code)
• 37 very small files (1,056 lines of code)

There are 85 files with lines longer than 120 characters. In total, there are 3189 long lines.

File	# lines	# units	# long lines
pytorch_extending_our_containers.ipynb in bring-your-own-container/pytorch_extending_our_containers	779	-	86
hpo_blazingtext_text_classification_20_newsgroups.ipynb in training/sagemaker-automatic-model-tuning	1192	-	62
mask-rcnn-scriptmode-fsx.ipynb in miscellaneous/distributed_tensorflow_mask_rcnn	1402	-	56
Image-classification-lst-format.ipynb in training/built-in-algorithms	1639	-	56
Image-classification-fulltraining-elastic-inference.ipynb in training/built-in-algorithms	1136	-	56
Amazon_Tabular_Classification_XGBoost_LinearLearner.ipynb in training/built-in-algorithms	760	-	56
create_endpoint.ipynb in training/built-in-frameworks	1228	-	55
rl_cartpole_batch_coach.ipynb in reinforcement-learning	821	-	55
Image-classification-fulltraining.ipynb in training/built-in-algorithms	1266	-	53
Amazon_Tabular_Regression_XGBoost_LinearLearner.ipynb in training/built-in-algorithms	704	-	53
Image-classification-transfer-learning.ipynb in training/built-in-algorithms	1270	-	53
mask-rcnn-scriptmode-experiment-trials.ipynb in miscellaneous/distributed_tensorflow_mask_rcnn	982	-	52
Image-classification-multilabel-lst.ipynb in training/built-in-algorithms	673	-	52
xgboost-realtime-analysis.ipynb in training/sagemaker-debugger	508	-	52
pytorch_smdataparallel_efficientnet_demo.ipynb in training/distributed-training	578	-	51
mask-rcnn-scriptmode-efs.ipynb in miscellaneous/distributed_tensorflow_mask_rcnn	827	-	50
hpo_xgboost_direct_marketing_sagemaker_APIs.ipynb in training/sagemaker-automatic-model-tuning	585	-	50
hpo_xgboost_direct_marketing_sagemaker_python_sdk.ipynb in training/sagemaker-automatic-model-tuning	538	-	50
blazingtext_word2vec_subwords_text8.ipynb in training/built-in-algorithms	617	-	50
mask-rcnn-scriptmode-s3.ipynb in miscellaneous/distributed_tensorflow_mask_rcnn	722	-	49
data_distribution_types.ipynb in training	899	-	49
sagemaker_ground_truth_workflows.ipynb in data-labelling	861	-	48
Image-classification-transfer-learning-highlevel.ipynb in training/built-in-algorithms	811	-	48
Image-classification-lst-format-highlevel.ipynb in training/built-in-algorithms	883	-	48
Image-classification-incremental-training-highlevel.ipynb in training/built-in-algorithms	877	-	47
blazingtext_text_classification_dbpedia.ipynb in training/built-in-algorithms	610	-	47
Image-classification-fulltraining-highlevel.ipynb in training/built-in-algorithms	852	-	47
iterative_model_pruning_alexnet.ipynb in training/sagemaker-debugger	860	-	47
tensorflow2_smdataparallel_efficientnet_demo.ipynb in training/distributed-training	461	-	43
tune_r_bring_your_own.ipynb in training/sagemaker-automatic-model-tuning	441	-	41
RNNT_notebook.ipynb in training/distributed-training	436	-	41
tensorflow2_smdataparallel_maskrcnn_demo.ipynb in training/distributed-training	407	-	41
linear_learner_mnist.ipynb in training/built-in-algorithms	564	-	41
tf2-keras-custom-container.ipynb in training/sagemaker-debugger	387	-	41
cnn_class_activation_maps.ipynb in training/sagemaker-debugger	1441	-	41
linear_learner_mnist.ipynb in training/sagemaker-debugger	564	-	41
hpo_tensorflow_mnist.ipynb in training/sagemaker-automatic-model-tuning	428	-	40
hpo_mxnet_mnist.ipynb in training/sagemaker-automatic-model-tuning	365	-	40
pytorch_smdataparallel_maskrcnn_demo.ipynb in training/distributed-training	390	-	40
tf2-keras-default-container.ipynb in training/sagemaker-debugger	454	-	40
rl_cartpole_coach_gymEnv.ipynb in reinforcement-learning	636	-	40
xgboost_abalone_dist_script_mode.ipynb in training/built-in-frameworks	626	-	39
fastai_lesson1_sagemaker_example.ipynb in training/built-in-frameworks/fastai_oxford_pets	466	-	39
feature_store_kms_key_encryption.ipynb in feature-store	606	-	39
xgboost_managed_spot_training.ipynb in training/built-in-frameworks	393	-	38
xgboost_managed_spot_training.ipynb in training/built-in-algorithms	393	-	38
object2vec_movie_recommendation.ipynb in training/built-in-algorithms	1261	-	38
handling_kms_encrypted_data.ipynb in training/built-in-algorithms	681	-	37
tf-resnet-profiling-multi-gpu-multi-node-boto3.ipynb in training/sagemaker-debugger	430	-	37
mask-rcnn-inference.ipynb in miscellaneous/distributed_tensorflow_mask_rcnn	737	-	36