Full Stack GIS Development

Windows par Python ko VS Code ke saath configure karke virtual environment mein script run karna.

Python variables, primitive data types, operators aur type conversion ka use karna.

Conditional statements se program ka decision flow banana.

for aur while loops se repeated operations implement karna.

Lists, tuples, sets aur dictionaries mein data store aur retrieve karna.

Reusable functions ko parameters aur return values ke saath likhna.

Exceptions aur VS Code debugger ki madad se basic Python errors diagnose karna.

Git repository bana kar changes stage, commit aur history inspect karna.

Python classes, objects, attributes aur methods ka basic use karna.

Python modules import karke pip se third-party packages manage karna.

pathlib ka use karke files aur directories ko programmatically manage karna.

CSV aur JSON files ko Python mein read, transform aur write karna.

HTTP GET request bhejkar JSON API response parse karna.

pandas DataFrame mein data filter, group aur merge karna.

argparse ke saath command-line Python utility banana.

pytest se Python function ke unit tests likhna.

Spatial data ke geometry, attributes aur spatial relationships ko identify karna.

Point, line aur polygon vector models ke suitable use cases chunna.

Raster resolution, extent, bands aur NoData values ko interpret karna.

Geographic aur projected coordinate reference systems ke beech antar samjhana.

EPSG metadata aur distortion ko dekhkar dataset ke liye suitable CRS chunna.

QGIS mein vector aur raster layers load karke unki properties inspect karna.

QGIS mein symbology aur labels configure karke thematic map banana.

QGIS mein attribute aur location-based selections perform karna.

GeoPandas se vector dataset load karke geometry aur attributes inspect karna.

GeoDataFrame ka CRS assign aur transform karna.

Shapely aur GeoPandas se buffer aur overlay operations perform karna.

Spatial join se do geospatial datasets ke attributes combine karna.

Invalid geometries detect karke unhe repair ya exclude karna.

Rasterio se raster metadata inspect karke raster ko geometry se crop karna.

GDAL command-line tool se geospatial format conversion aur reprojection karna.

Python script mein repeatable vector-data ETL pipeline banana.

PostgreSQL database aur tables create karke suitable column types define karna.

Primary keys, foreign keys aur normalization ke saath relational schema design karna.

INSERT, UPDATE aur DELETE statements ko transaction ke andar execute karna.

SELECT, WHERE, ORDER BY aur LIMIT se records query karna.

Aggregate functions, GROUP BY aur HAVING se summary results banana.

SQL JOINs se related tables ka data combine karna.

Constraints aur B-tree indexes se data integrity aur lookup performance improve karna.

Python se parameterized SQL query safely execute karna.

PostGIS enable karke geometry, geography aur SRID concepts ko distinguish karna.

QGIS ya ogr2ogr se vector dataset ko PostGIS table mein import karna.

ST_SetSRID aur ST_Transform se spatial reference handle karna.

ST_Intersects aur ST_Within se spatial predicates evaluate karna.

Spatial JOIN likhkar location ke basis par tables combine karna.

ST_DWithin aur nearest-neighbour ordering se proximity query likhna.

ST_Buffer, ST_Intersection aur area functions se spatial analysis karna.

GiST index aur EXPLAIN ANALYZE se spatial query performance evaluate karna.

Semantic HTML se map, controls aur results wala accessible page structure banana.

CSS Flexbox aur Grid se responsive map application layout banana.

JavaScript variables, types, functions aur scope ka use karna.

JavaScript arrays aur objects ko map, filter aur reduce se transform karna.

Python ke familiar control-flow patterns ko JavaScript syntax mein implement karna.

DOM events se form inputs aur page elements update karna.

async/await aur Fetch API se remote JSON data load karna.

npm, ES modules aur Vite se frontend project run aur build karna.

TypeScript types aur interfaces se application data model define karna.

React functional component ko props ke saath compose karna.

React state aur event handlers se interactive UI banana.

useEffect se API data fetch karke loading aur error states handle karna.

Controlled forms se filter values collect aur validate karna.

Custom React hook mein reusable data-fetching logic extract karna.

React Router se multi-page single-page application navigation banana.

React Testing Library se component interaction test likhna.

Web-map clients, map servers, spatial databases aur tile pyramids ka data flow diagram banana.

MapLibre GL JS mein map initialize karke camera aur navigation controls configure karna.

GeoJSON source add karke data-driven layer styling apply karna.

Map click aur hover interactions se feature details aur selection dikhana.

Map filters aur legend ko React state ke saath synchronize karna.

XYZ, WMS aur WMTS services ko web map mein display karna.

Vector tiles aur MapLibre style specification ka use karke large dataset render karna.

ArcGIS REST Feature Service ko query karke returned features web map par dikhana.

GIS application ke resources ko REST endpoints aur HTTP methods mein model karna.

FastAPI route bana kar Pydantic model se request validate karna.

Query parameters se bounding-box filtering aur pagination implement karna.

FastAPI se parameterized PostGIS query execute karna.

Database query result ko valid GeoJSON FeatureCollection ke roop mein return karna.

GeoServer mein PostGIS datastore aur layer publish karna.

GeoServer layer ke liye WMS, WFS aur SLD styling configure karna.

Use case ke basis par custom API, WFS, WMS ya vector tiles mein se suitable delivery method chunna.

Frontend, spatial API, GeoServer aur PostGIS ke beech request flow aur responsibilities define karna.

Current map extent ke basis par React client se bounding-box API request bhejna.

Drawn geometry ko validate karke PostGIS mein create aur update karna.

JWT claims aur roles se protected spatial endpoint par access control lagana.

Consistent status codes aur error payloads ke saath API failures handle karna.

Frontend aur API ke beech geospatial integration test likhna.

EXPLAIN ANALYZE aur request timing se slow spatial request ka bottleneck identify karna.

Clustering, geometry simplification ya caching se map-response performance improve karna.

FastAPI application ke liye reproducible Docker image banana.

Docker Compose se frontend, API, PostGIS aur GeoServer services connect karna.

Environment variables, secrets aur CORS settings ko production ke liye configure karna.

Reverse proxy ke through application routing aur HTTPS termination configure karna.

Containerized GIS stack ko cloud VM ya suitable hosting service par deploy karna.

GitHub Actions se automated tests aur image build wali CI pipeline banana.

PostGIS backup restore karke application logs se deployment issue diagnose karna.

Deployed capstone ko README, architecture diagram, API documentation aur outcome-focused résumé bullets ke saath present karna.