The　research　of　brain　science　provides　new　concepts　and　new　ideas　for　revealing　human　brain　cognitive　processes　and　promoting　brain-inspired　computing　models.　Python　and　its　powerful　technology　ecosystem　provide　support　for　the　teaching　and　practice　of　brain　science.　In　this　paper,　the　related　resources　in　the　Python　ecosystem　of　neuroimaging　technologies　were　used　as　teaching　and　practice　materials.　This　article　discussed　how　to　use　Python　and　corresponding　development　tools　to　complete　neuroimaging　data　preprocessing,　functional　connectivity　analysis,　multivoxel　pattern　analysis,　and　searchlight　analysis　in　brain　science　teaching,　and　the　corresponding　practice　processes　were　also　demonstrated　with　examples.　By　applying　Python　and　technologies　in　the　ecosystem　to　the　theoretical　and　practical　teaching　of　brain　science　related　professional　courses,　students　can　better　integrate　with　artificial　intelligence　technology　while　learning　brain　science　research　techniques.　©　2019　IEEE.