Python has some very good features like:
- Simple syntax
- Open source nature
- Speed and productivity
- Object-oriented, portable, high-level
When some of the biggest companies are taking the lead in implementing Python as the language of choice then smaller companies have to follow suit. Take the case of Google which built its entire TensorFlow framework on the Python programming language. This shows the importance of Python in the domain of data science and artificial intelligence.
Python has some distinct advantages like it is able to integrate with the best cloud computing platforms and other platform-as-a-service providers. It also has extensive support for multiprocessing and parallel computing and this means it offers large-scale performance incentives for artificial intelligence, machine learning and data science domains. Python also has a very good feature of extensibility which means the modules written in C and C++ can be extended with Python.
One of the strongest features of Python language is that it has a huge number of libraries which can be used for various applications in data science, artificial intelligence and machine learning.
Top Python libraries include:
- NumPy & Pandas: For data analysis
- MatPlotLib: For data visualization
- Scikit-Learn: Machine Learning
- Scrapy: Web scraping
- BeautifulSoup: XML & HTML parsing library
Now let us understand in-depth about what are the Python features that make it such a hot language for data science, artificial intelligence and machine learning applications.
Python has a shorter learning curve than any other programming language and also it has an easy-to-understand syntax as well. When it comes to improving the productivity of the developer, Python is a big step ahead thanks to it being dynamically-typed rather than being statically-typed unlike Java.
Python has a strong graphic and visualization option that is a strong foundation for other libraries like Seaborn, ggplot and pandas plotting among others. The Python visualization package lets you understand data, graphical plot and create charts and also web-ready interactive plots. All this makes Python the language of choice for Data Science.
When it comes to machine learning, it is more about statistics, probability and mathematical optimization. Python is the perfect language for such applications wherein you need to do math consistently. The Numpy library helps to perform the numerical linear algebra, SciPy is used for scientific computing, Statsmodel is used for statistical modeling and so on.
Guest article written by: Vaishnavi Agrawal loves pursuing excellence through writing and have a passion for technology. She has successfully managed and run personal technology magazines and websites. She currently writes for intellipaat.com, a global training company that provides e-learning and professional certification training. The courses offered by Intellipaat address the unique needs of working professionals. She is based out of Bangalore and has an experience of 5 years in the field of content writing and blogging. Her work has been published on various sites related to Big Data Online Training, Business Intelligence, Project Management, Cloud Computing, IT, SAP, Project Management and more.