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104.1.1.Introduction to Python and IDE for Python

Python in a nutshell.

What is python

  • It is a language
  • Human-readable syntax and well Documented
  • Open Source (Free)
  • Powerful scripting language with simple Syntax
  • www.python.org
  • Used by many data scientists and developers

History

  • Python language created by Guido van Rossum (Benevolent Dictator for Life).
  • First Python version released in 1991
  • Python 2 released in 2000
  • Python 3 released in 2008
  • Python 3 introduced to overcome future code expanding
  • Python 3 is NOT fully backward compatible with Python 2
  • Python 2 is frozen and supported until 2020. Good features from Python 3 are back-ported.

Which one to use? Python 2 or Python 3

  • Python 2 is NOT same as Python 3. There are minor changes.
  • There are some incompatibilities, the code in Python 2 may not always run in Python 3 and vice-versa.
  • All important packages like NumPy, SciPy, and Matplotlib are available for both Python 2 and Python 3
  • We are using Python 3 in our courses.

Installing Python & Python IDEs

 Writing and executing python programs
  • Python has many options to write and execute a program.
  • You can use Text Editors or Command line interfaces or Notebook or an IDE.
  • We will use Spyder IDE in our courses.
  • Anaconda distribution has all the required software’s inbuilt. We just need to download and install it.

Installing Python, Anaconda

  • Download and install Anaconda3 by visiting anaconda.org.
  • It automatically installs
    • Ipython
    • Jupyter notebook
    • Spyder IDE
  • Spyder is what we need for our coding.

Spyder- Python IDEs

  • Spyder (formerly Pydee) is an open source cross-platform IDE for the Python language.
  • Editor with syntax highlighting and code completion.
  • Has an interactive console to execute and check the output of the code.
  • Testing and debugging is relatively easy.
  • Best IDE if you are coming from an R-Studio or MATLAB background.
  • Spyder also provides an object inspector that executes in the context of the console. Any objects created in the console can be examined in the inspector.

The next post is in Python environment.

Link to the next post: Next post Python environment

6th November 2017

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