Data Science
Data science involves data collection, data sorting, data analysis, and data visualization. Python provides amazing functionality to tackle statistics and complex mathematical calculations. The presence of in-built libraries provides convenience to data science professionals. Some of the popular libraries that provide ease in the data science process are TensorFlow, Pandas, and Socket Learning. These libraries provide an ecosystem for fine-tuning data models, data preprocessing, and performing complex data analysis.
Top 10 Python Applications in Real World
We are living in a digital world that is completely driven by chunks of code. Every industry depends on software for its proper functioning be it healthcare, military, banking, research, and the list goes on. We have a huge list of programming languages that facilitate the software development process. One of these is Python which has emerged as the most lucrative and exciting programming language. As per a survey it is observed that Python is the main coding language for more than 80% of developers. The main reason behind this is its extensive libraries and frameworks that fuel up the process.
Table of Content
- 1. Web Development
- 2. Machine Learning and Artificial Intelligence
- 3. Data Science
- 4. Game Development
- 5. Audio and Visual Applications
- 6. Software Development
- 7. CAD Applications
- 8. Business Applications
- 9. Desktop GUI
- 10. Web Scraping Application
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