Journal Collabits
Vol 1, No 2 (2024)

Improving E-commerce Experience with Django Framework

Jokonowo, Bambang (Unknown)
Mubarak, Roy (Unknown)
Cherid, Annis (Unknown)
Rivai, Adriean Baihaqi (Unknown)
Ahmad, Rijalul Awal (Unknown)



Article Info

Publish Date
10 Jun 2024

Abstract

The Rise of Django Framework in Ecommerce Development: A Comprehensive Guide The advent of the digital era has triggered an unprecedented surge in e-commerce platforms, necessitating robust frameworks for their development. In this landscape, Django emerges as a key player, offering a comprehensive solution for building scalable and efficient online shopping environments. This paper delves into the utilization of Django Framework in creating e-commerce platforms that align with the evolving needs of modern businesses and consumers. Adopting a practical approach, we explore how Django integrates with core e-commerce functionalities such as inventory management, payment processing, and user analytics. We emphasize the importance of seamlessly blending Django's advanced features with e-commerce tools to ensure a smooth and efficient shopping experience. We showcase the success of our approach in crafting an e-commerce website that is efficient, reliable, and adaptable to the dynamic shifts of the business landscape. Our findings highlight the pivotal role of Django Framework in providing a sturdy foundation for developing successful and responsive e-commerce platforms in the rapidly evolving digital era. Through a combination of theoretical insights and practical applications, this paper provides valuable insights for developers and businesses alike who seek to optimally leverage Django Framework in optimizing e-commerce business success. In essence, our research confirms the enduring relevance and effectiveness of Django in driving efficiency and innovation within the realm of online commerce.

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Journal Info

Abbrev

collabits

Publisher

Subject

Computer Science & IT Engineering

Description

Journal Collabits adalah jurnal yang membahas strategi keamanan cyber untuk meningkatkan kinerja dan keandalan dalam implementasi teknologi kecerdasan buatan (AI), kecerdasan bisnis (BI), dan sains data, yang di kelola oleh Fakultas Ilmu Komputer (FASILKOM) terdiri dari dua prodi yaitu Teknik ...