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How to Show Data science Project in Resume

In any project, the Data analyst role is to deal with data. The data for data science projects come from multiple sources. This post will explain how to put in data science project in Resume.
Data Science project for Resume The first step for an interview of any project is you need Resume. You need to tell clearly about your resume.

In interviews, you will be asked questions about your project. So the second step is you need to be in a position explain about project.

The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages.
How to show Technologies used in Data science projects In interviews, again they will be asked how you used different tools to complete your data science project.

So, you need to be in a position to explain about how you used different options present in the tools. Sometime…

Python Syntax Rules Eliminate Errors Before you start debugging

In Python, if you know syntax rules, you can eliminate errors. The basic mistakes programmers do are missing semicolons, adding extra commas, and extra spaces. Python is case sensitive. So using the wrong identifier gives an error.
Indentation is unique to Python. You cannot find this kind of rule in any other programming languages

Python Syntax Cheat Sheet

These are the main areas you need to focus while writing a Python program. You need to learn rules. Else you need to waste a lot of time fixing the issues or errors.

  1. Indentation or Syntax Errors
  2. Exceptions
  3. Handling Exceptions
Python syntax guide

1. Indentation

If you do not follow proper order, you will get an error. The details of one block shroud follow in one vertical line. The sub-block should be inside of that.

  • In if loop, the if, elif, and else should have same indentation. Not only, the statement inside of them should have same indentation.
  • Understand these examples a good material on indentation for you.  

2. Exceptions 

Python raises exception, when it encounters an errors. These are called system errors.

  • Python has many built-in exceptions. One best example is ZeroDivisionError
  • More exceptions all list at one place.

3. Handling Exceptions

To handle exception you need two blocks which are Try and Except. Try Block is the block where you can give your code. Except is the Block where your exception message comes here.

Python Syntax Example:

try:
    d=int(20)
    f=str
    g=d+f
except TypeError:
    print ('This is TypeError Exception')
else:
    print ('No exception happened')

In the above example, except shows error when you get an exception.

Python Syntax Guide


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Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
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