{"id":1949,"date":"2018-02-19T16:39:19","date_gmt":"2018-02-19T11:09:19","guid":{"rendered":"http:\/\/stepbystepschools.net\/?p=1949"},"modified":"2018-02-19T21:50:58","modified_gmt":"2018-02-19T16:20:58","slug":"create-first-program-in-python","status":"publish","type":"post","link":"https:\/\/www.stepbystepschools.net\/?p=1949","title":{"rendered":"Data Science Training Mumbai: – Running your first Python Program."},"content":{"rendered":"

Contents:<\/h2>\n

What is Python?<\/a><\/p>\n

Creating your first program in python<\/a><\/p>\n

What are the advantages of using python for Data Science?<\/a><\/p>\n

\"1\"<\/a><\/p>\n

What is Python?<\/a><\/h2>\n

Python is a beginner friendly simple programming language that was created between 1985- 1990 by Guido van Rossum.<\/p>\n

It may seem very basic and not that sophisticated as other languages but be assured that it has all the capabilities of other new and highly developed programming languages.<\/p>\n

Along with having all the features object oriented programming it is also has high-level data structures and is an interpreted scripting language.<\/p>\n

The python source code is available under the GNU General Public License (GPL) on its official website.<\/p>\n

Today the application of python are vastly diversified from Web development to data science.<\/p>\n

Python is easy to lean for beginner and easy to grip for experienced developers in a short duration.<\/p>\n

Python is available for development over most of the modern operating systems.<\/p>\n

\"2\"<\/a><\/p>\n

Creating your first program in python<\/a><\/h2>\n

To create and run our application in python we must set up a proper environment for it and install the necessary dependencies.<\/p>\n

Below are the necessary software which needs to be installed on your computer to create your first application in python:<\/p>\n

Steps:<\/b><\/u><\/p>\n

    \n
  1. Visit https:\/\/www.python.org\/downloads\/<\/a> and download one of the following versions.<\/li>\n
  2. \"3\"<\/a><\/br>\n

    I recommend going with Python 3.6.x version because 3.6.4 is the latest version which will most likely remain stable while 2.7.x is just released to support legacy code.<\/p>\n<\/li>\n

  3. While installing python you need to select this option as it is very important and will help us further as we progress
    \n    \"4\"<\/a><\/br><\/p>\n

    After this click Install Now and let the software install itself<\/p>\n<\/li>\n

  4. Now launch IDLE (Python 3.6 32 bit) which will be installed in your PC if everything is installed properly<\/li>\n<\/ol>\n

    As we can see IDLE is just a python shell but if you want to you could write your code in a separate IDE as there are many paid and free IDE\u2019s for python but for this basic demonstration we will stick to this simple shell<\/p>\n

    Now to creating your first program in python<\/p>\n

    Python is similar to Pearl, Java and C in terms of syntax but however there are some key differences in this languages which we observe as we code.<\/br>
    \nTo print out code in our shell we need to write\n<\/p>\n

    >>> print (\u2018welcome to python\u2019)<\/span><\/p>\n

    And now press enter to execute the above line<\/p>\n

    \"5\"<\/a><\/p>\n

    You will see the output in your next line <\/p>\n

    You can save you code on your machine by providing the file name and adding
    \n.py<\/span> extension which marks it as python file.<\/p>\n

    \"6\"<\/a><\/p>\n

    Below is the code to know a data type of a particular value and to add two numbers<\/p>\n

    >>> print(type(‘hello’))<\/span><\/p>\n

    <class ‘str’><\/span><\/p>\n

    >>> print(type(3))<\/span><\/p>\n

    <class ‘int’><\/span><\/p>\n

    >>> print(type(3.8))<\/span><\/p>\n

    <class ‘float’><\/span><\/p>\n

    >>> a=25<\/span><\/p>\n

    >>> b=35<\/span><\/p>\n

    >>> print(a+b)<\/span><\/p>\n

    60<\/span><\/p>\n

    In the above lines of code output is marked in Green<\/p>\n

    What are the advantages of using python for Data Science?<\/a><\/h2>\n

    Data Science requires a language to be simple, easy to learn, being highly readable and having an abundance of good libraries.<\/p>\n

    All the above requirements are ticked in python.<\/p>\n

    Python also has very powerful statistical and numerical packages already available with a huge community support.<\/p>\n