AI Campus • Prayogika kalike
AI mattu Sankhyaatmaka Lekkaacharakkagi Python
Filegalu, collectiongalu mattu spashta error handling balasi chikka, test maadabahudaada data pipeline kattiri.
Aarambhisuva modalu
- Local Python installation mattu basic programming parikalpanegalu beku. Official tutorial swalpa programming anubhava ide endu bhaavisuttade.
Ee oduva mattu planning abhyasagalige paid course athava API bekaagilla. Optional inference, training, IDE feature athava hosted sevege hardware, account athava paid access bekaagabahudu. Kharchu maaduva modalu local athava manual aayke balasi.
Official kalikeya maahitiyinda aarambhisi
Odalu free iruva moolagalannu 3 November 2026 randu parisheelisalagide. Documentation oduvudarinda provider athava subscription activate aaguvudilla.
Prayogika abhyasa maadi
1. Collection mattu function practice maadi
Control-flow, data-structures mattu functions bhaagagalannu odi. Recordgala list tegedukondu category prakara count koduva function bareyiri; category illadavannu spashta unknown group nalli ulisi.
2. Input odi validate maadi
Input/output mattu exceptions bhaagagala sahayadinda local JSON dataset load maadi. Tappaada JSON ge upayukta error kodi. Moola file overwrite maadade whitespace normalize maadi.
3. Matte run maadabahudaada command tayaarisi
Command-line input path serisi mattu JSON summary annu bere filege bareyiri. Khaali dataset, duplicate rowgalu mattu sigada file parikshe maadi. Standard-library version kelasa maadida nantarave NumPy athava Pandas serisi; aa dependency yaake sahaya endu vivarisi.
Kalitaddannu parikshe maadi
- Ade inputge ade countgalu barabeku.
- Sigada athava invalid inputge success report badalu error torisabeku.
- Moola data badalaagabaaradu; functiongalannu pratyekavaagi test maadabahudu.
Nimma karya, maadida parikshe mattu ulida mitigalannu sanna README nalli bareyiri. Kevala design maadida abhyasavannu execute maadida haage helabedi.