Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Data Analytics and Machine Learning are the keys to the future and Python plays a significant role in this domain. Most of the Data analytics software including Pandas, NumPy, SciPy, StatModels, Bokeh, Scikit-learn are Python based. Python Deep learning packages include TensorFlow, Keras, Elephas. Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics etc) that aims to simplify package management and deployment.
ref:
Python official website - https://www.python.org/
Python tutorial - https://docs.python.org/3/tutorial/
Learn Python - https://www.learnpython.org/
Python Beginners Videos(Microsoft Developer Series) - https://www.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6
Python Beginners guide:
1. https://wiki.python.org/moin/BeginnersGuide
2. https://www.python.org/about/gettingstarted/
Python documentation:
1. Python 3.x documentation - https://docs.python.org/3/
2. Python 2.x documentation - https://docs.python.org/2/
Python Playground:
1. Python 3 Playground - https://www.katacoda.com/courses/python/playground
2. Python 3 Playground - https://code.sololearn.com/cOAXyhEmN1f7#py
3. Python 2 Playground - https://code.sololearn.com/cd6pPeiuunQK/#py
4. Python 2 Playground - https://repl.it/@sergiitk/Python-2-playground
Best Python Books - https://realpython.com/best-python-books/
Python Books - https://hackr.io/blog/best-python-books-for-beginners-and-advanced-programmers
Python Crash Course - https://github.com/topics/python-crash-course
Python playground source code - https://github.com/berkerpeksag/python-playground
Data Science:
1. Python Data Science distribution, Anaconda - https://www.anaconda.com/
2. Top Python Libraries in DataScience - https://towardsdatascience.com/top-python-libraries-used-in-data-science-a58e90f1b4ba
3. Python DataScience Handbook - https://jakevdp.github.io/PythonDataScienceHandbook/
4. Python Data Science Tutorials - https://realpython.com/tutorials/data-science/
5. A Complete Python Tutorial to Learn Data Science from Scratch - https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2
6. Python Data Science introduction - https://cognitiveclass.ai/courses/python-for-data-science
7. Learn Python for Data Science from scratch - https://data36.com/learn-python-for-data-science-from-scratch/
8. Programming for Data Science with Python - https://www.udacity.com/course/programming-for-data-science-nanodegree--nd10
9. github white paper on deep learning, genomics and precision medicine - https://github.com/greenelab/deep-review
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Data Analytics and Machine Learning are the keys to the future and Python plays a significant role in this domain. Most of the Data analytics software including Pandas, NumPy, SciPy, StatModels, Bokeh, Scikit-learn are Python based. Python Deep learning packages include TensorFlow, Keras, Elephas. Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics etc) that aims to simplify package management and deployment.
ref:
Python official website - https://www.python.org/
Python tutorial - https://docs.python.org/3/tutorial/
Learn Python - https://www.learnpython.org/
Python Beginners Videos(Microsoft Developer Series) - https://www.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6
Python Beginners guide:
1. https://wiki.python.org/moin/BeginnersGuide
2. https://www.python.org/about/gettingstarted/
Python documentation:
1. Python 3.x documentation - https://docs.python.org/3/
2. Python 2.x documentation - https://docs.python.org/2/
Python Playground:
1. Python 3 Playground - https://www.katacoda.com/courses/python/playground
2. Python 3 Playground - https://code.sololearn.com/cOAXyhEmN1f7#py
3. Python 2 Playground - https://code.sololearn.com/cd6pPeiuunQK/#py
4. Python 2 Playground - https://repl.it/@sergiitk/Python-2-playground
Best Python Books - https://realpython.com/best-python-books/
Python Books - https://hackr.io/blog/best-python-books-for-beginners-and-advanced-programmers
Python Crash Course - https://github.com/topics/python-crash-course
Python playground source code - https://github.com/berkerpeksag/python-playground
Data Science:
1. Python Data Science distribution, Anaconda - https://www.anaconda.com/
2. Top Python Libraries in DataScience - https://towardsdatascience.com/top-python-libraries-used-in-data-science-a58e90f1b4ba
3. Python DataScience Handbook - https://jakevdp.github.io/PythonDataScienceHandbook/
4. Python Data Science Tutorials - https://realpython.com/tutorials/data-science/
5. A Complete Python Tutorial to Learn Data Science from Scratch - https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2
6. Python Data Science introduction - https://cognitiveclass.ai/courses/python-for-data-science
7. Learn Python for Data Science from scratch - https://data36.com/learn-python-for-data-science-from-scratch/
8. Programming for Data Science with Python - https://www.udacity.com/course/programming-for-data-science-nanodegree--nd10
9. github white paper on deep learning, genomics and precision medicine - https://github.com/greenelab/deep-review
