@InProceedings{ geomstats-proc-scipy-2020,
  author    = { {N}ina {M}iolane and {N}icolas {G}uigui and {H}adi {Z}aatiti and {C}hristian {S}hewmake and {H}atem {H}ajri and {D}aniel {B}rooks and {A}lice {L}e {B}rigant and {J}ohan {M}athe and {B}enjamin {H}ou and {Y}ann {T}hanwerdas and {S}tefan {H}eyder and {O}livier {P}eltre and {N}iklas {K}oep and {Y}ann {C}abanes and {T}homas {G}erald and {P}aul {C}hauchat and {B}ernhard {K}ainz and {C}laire {D}onnat and {S}usan {H}olmes and {X}avier {P}ennec },
  title     = { {I}ntroduction to {G}eometric {L}earning in {P}ython with {G}eomstats },
  booktitle = { {P}roceedings of the 19th {P}ython in {S}cience {C}onference },
  pages     = { 48 - 57 },
  year      = { 2020 },
  editor    = { {M}eghann {A}garwal and {C}hris {C}alloway and {D}illon {N}iederhut and {D}avid {S}hupe },
  doi       = { 10.25080/Majora-342d178e-007 }
}