Published December 16, 2023
| Version v1
Journal article
Open
PARALLEL PROGRAMMING IN PYTHON
Description
Parallel programming in Python has become increasingly popular as it allows developers to leverage the power of modern hardware by executing multiple tasks simultaneously. This article provides an overview of parallel programming in Python, exploring its benefits, challenges, and best practices. We discuss key concepts such as multi-threading, multi-processing, and libraries such as concurrent.futures and multiprocessing, which enable parallelism in Python. Additionally, we highlight the growing relevance of parallel programming in the context of modern software development and the potential performance gains it offers.
Files
178-183 Tursunbek Sadriddinovich.pdf
Files
(462.8 kB)
Name | Size | Download all |
---|---|---|
md5:acefdbb46225fa89591f95f4dcae7c17
|
462.8 kB | Preview Download |
Additional details
References
- 1. Jalolov, T. S. (2023). PSIXOLOGIYA YO 'NALISHIDA TAHSIL OLAYOTGAN TALABALARGA SPSS YORDAMIDA MATEMATIK USULLARNI O 'RGATISHNING METODIK USULLARI. Educational Research in Universal Sciences, 2(10), 323-326.
- 2. Jalolov, T. S. (2023). PYTHON INSTRUMENTLARI BILAN KATTA MA'LUMOTLARNI QAYTA ISHLASH. Educational Research in Universal Sciences, 2(10), 320-322.
- 3. Jalolov, T. S., & Usmonov, A. U. (2021). "АQLLI ISSIQXONA" BOSHQARISH TIZIMINI MODELLASHTIRISH VA TADQIQ QILISH. Экономика и социум, (9 (88)), 74-77.
- 4. Sadriddinovich, J. T. (2023). Capabilities of SPSS Software in High Volume Data Processing Testing. American Journal of Public Diplomacy and International Studies (2993-2157), 1(9), 82-86.
- 5. Sadriddinovich, J. T. (2023, November). IDENTIFYING THE POSITIVE EFFECTS OF PSYCHOLOGICAL AND SOCIAL WORK FACTORS BETWEEN INDIVIDUALS AND DEPARTMENTS THROUGH SPSS SOFTWARE. In INTERNATIONAL SCIENTIFIC RESEARCH CONFERENCE (Vol. 2, No. 18, pp. 150-153).