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Journal : Journal Collabits

Improving E-commerce Experience with Django Framework Jokonowo, Bambang; Mubarak, Roy; Cherid, Annis; Rivai, Adriean Baihaqi; Ahmad, Rijalul Awal
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27237

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.
FILE SEARCH ON AN FTP SERVER USING THE FUZZYWUZZY METHOD AND THE DFS ALGORITHM Syuhur, Naufal Saidhus; Jokonowo, Bambang; Wijaya, Agil Dwiki
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25561

Abstract

The Depth-First Search (DFS) algorithm can be used to search for files on an FTP server. The fuzzywuzzy method can be applied to perform fuzzy string matching for the file names. To implement this, one can establish a connection to the FTP server using a programming language that supports FTP operations, retrieve the file listings using DFS, apply fuzzy matching to the file names, and retrieve the matching files. The fuzzywuzzy method is a string matching library that uses the Levenshtein Distance to calculate the differences between sequences. While there are no specific examples of using DFS with fuzzywuzzy on an FTP server, the general approach can be implemented using ftplib in Python for FTP operations and the fuzzywuzzy library for fuzzy string matching.