Hi there 👋

#pip install EDMT
import edmt
edmt.init()
from django.db import models
from django.db.models import Manager as GeoManager
from django.contrib.gis.db import models as geomodels
from phonenumber_field.modelfields import PhoneNumberField
# Create your models here.
class Portfolio(models.Model):
 name = models.CharField('Francis Odero')
 location = geomodels.PointField('Nairobi, Kenya')
 phone_number = models.PhoneNumberField(+254791061506)
 profile = models.CharField('GIS web developer, GIS Data analyst','Google Earth Engine','Python')
 experience = models.PositiveIntegerField('6 + Years')
 hobbies = models.CharField('coffee','cooking','travelling','poetry')
 
 def __str__(self):
 return self.name
class Conservation(models.Model):
 app = models.CharField('EarthRanger')
 analysis = geomodels.PointField('Ecoscope')
 data_management = edmt.__version__
 automation = models.PhoneNumberField('Python Scripts')
 script_management = models.CharField('Google colaboratory','Google Drive')
 config = models.PositiveIntegerField('Json')
 config_managemnt = models.CharField('Dropbox')
 
 def __str__(self):
 return self.app
 
 
 class Skills(models.Model):
 languages = models.CharField('python','javascript')
 operating_systems = models.CharField('linux - Ubuntu, Linux Lite')
 web_frameworks = models.CharField('django')
 data_modelling_libraries = models.CharField('pandas','geopandas','scikit-learn',
 'NumPy','SciPy','keras','TensorFlow'
 'rasterio'
 )
 data_visualization_libraries = models.CharField('matplotlib','plotly','seaborn')
 version_control = models.CharField('git')
 approaches = models.CharField('object oriented')
 database = models.CharField('PostgreSQL','SQLite')
 database_extension = models.CharField('PostGIS')
 data_skills = models.CharFiels('Data analysis','data scrapping','data visualisation',
 'data prediction','data cleaning','spatial data'
 )
 
 def __str__(self):
 return self.languages
 
class softwares(models.Model):
 gis_analysis = models.CharField('ArcGIS','Quantum GIS','ENVI')
 spatial_analysis_cloud = models.CharField('Google Earth Engine')
 data_science = models.CharField('Microsoft Azure')
 text_editor = models.CharField('VS code','sublime Text','jupyter notebook')
 cloud_notebooks = models.CharField('Datalore','Google Colab','Kaggle')
 
 def __str__(self):
 return self.gis_analysis
 
 
 
class Social(models.Model):
 github = models.CharField('https://www.github.com/oderofrancis')
 wemappers = models.CharField('https://wemappers.com/')
 twitter = models.CharField('https://twitter.com/_francisodero_')
 linkedin = models.CharField('linkedin.com/in/francis-odero-b69b62191')
 wakatime =models.CharField('https://wakatime.com/@Odero')
 email = models.CharField('francisodero10@gmail.com')
 
 def __str__(self):
 return self.github	
 

Data moves in mysterious ways... but spatial data? Now that’s a whole coordinate system of fun!