Previa a geohackeo 2021 Info Información Cuándo Sábado 5 de Junio 15:00 a 19:00 GMT Dónde

After a productive week in Transform 2021, some of us GeoLatinas in attendance got around to chatting about our experience in the event. We would like to share our collated insights below that may potentially contribute to enhancing future Transform meetings. Things we enjoyed High quality of tutorials Diverse topics across all geoscience disciplines Use of jitsi for video calls The lightning talks host created an inviting and engaging atmosphere The community, solidarity, and efforts to help the community learn. This has always been SWUNG's goal, but it is definitely highlighted during Transform. The Gather town was a fun platform for networking.

boost 1.73.0 py38hcebb5e4_1 conda-forge boost-cpp 1.73.0 he5d75e3_3 conda-forge matplotlib 3.4.1 py38h50d1736_0 conda-forge matplotlib-base 3.4.1 py38h6152e83_0 conda-forge numpy 1.19.5 py38h6ced74f_1 conda-forge pgcore 1.2.0 np119py38h01edc0c_0 gimli pyqt 5.12.3 py38h50d1736_7 conda-forge pyqt-impl 5.12.3 py38h721a93c_7 conda-forge pyqt5-sip 4.19.18 py38h5745d40_7 conda-forge pyqtchart 5.12 py38h721a93c_7 conda-forge

Jan 13, 2020 Participants: Isamar Andrea Agustina Santi Diana Sissi

Recursos y links Carpentries Instructor Training Intro to Python (curso de Santi) Online Workshop Reccomendations by Carpentries https://cuckoo.team/ https://www.mentimeter.com/ https://www.polleverywhere.com/ http://polljunkie.com/ (hicimos una prueba con este servicio y resulto muy bueno y rápido de armar)

 For feature details please visit: https://github.com/hakimel/reveal.js/ You can use URL query or slideOptions of the YAML metadata to customize your slides. First slide ---

Numpy, loops y functions Introducción a Python para Científicxs 2020 by Santiago Soler (In Spanish) github.com/santisoler/python-unsj-2020 (8 hours, 4 lessons) (Santi, Sissi, Andrea) Intro to Python by Kaggle courses https://www.kaggle.com/learn/python (7 hours, 7 lessons) (Isamar?, Diana, material de refuerzo? ) Advanced Numpy. Appendix A Python for Data Analysis book (GeoLatinxxx, GeoLatinxxx, GeoLatinxxx) https://github.com/wesm/pydata-book/blob/2nd-edition/appa.ipynb Pandas Intro to Pandas by Kaggle courses