# %% [markdown]

#

# We provide a set of examples here to get started with OpenML-Python. These examples cover various aspects of using the

# OpenML API, including downloading datasets, uploading results, and working with tasks.

#

# ## Basics

#

# 1. [Installing and setting up OpenML-Python](../Basics/introduction_tutorial/)

# 2. [Downloading datasets](../Basics/simple_datasets_tutorial/)

# 3. [Using tasks](../Basics/simple_tasks_tutorial/)

# 3. [Uploading experiment results](../Basics/simple_flows_and_runs_tutorial/)

# 4. [Working with collections of tasks](../Basics/simple_suites_tutorial/)

#

# ## Advanced

# 1. [Getting splits for datasets from tasks](../Advanced/task_manual_iteration_tutorial/)

# 2. [Creating and uploading datasets](../Advanced/create_upload_tutorial/)

# 3. [Searching and editing datasets](../Advanced/datasets_tutorial/)

# 4. [Searching and creating tasks](../Advanced/task_tutorial/)

# 5. [Listing, downloading, and uploading suites](../Advanced/suites_tutorial/)

# 6. [Listing, downloading, and uploading studies](../Advanced/study_tutorial/)

# 7. [Downloading evaluation results](../Advanced/fetch_evaluations_tutorial/)

# 8. [Configuring logging](../Advanced/configure_logging/)