Without no doubt Python is the most famous Programming Language at the moment. Stack Overflow has recently published a survey in which it has been clearly mentioned that Python has surpassed the fame of c# and PHP and has been named as the fastest growing language of this time.
But what makes Python so much in demand especially when it comes to Data Science?
- Python’s simple syntax makes it easy to use
- Owing to its versatility the language is considered as a Swiss Army Knife in data science
- Python has impeccable packages such as Numpy, Pandas, Scipy, Scikit-learn, PyBrain, Tensorflow, Cython, PyMySQL etc.
- For interactive programming there is an iPython notebook.
- For Data visualization purposes Python has packages such as, Plotly, Matpolib, ggplot, Pygal. Networkx etc.
- Learning curve of Python is comparatively low compared to others.
- Python is compatible with open-source data platform Hadoop
- Anaconda platform of Python is fast when it comes to data processing.
Let’s have a look at an infographic for a clear idea and some valuable suggestion regarding learning Python for Data science related purposes.
