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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 Command Line Options a Complete List

The complete list of command line options

-b

Issue warnings for calling str() with a bytes or bytearray object and no encoding argument, and comparing a bytes or bytearray with a str. Option -bb issues errors instead.

-B

Do not write .pyc or .pyo byte-code files on imports.

-d

Turn on parser debugging output (for developers of the Python core).

-E

Ignore Python environment variables described ahead (such as PYTHONPATH).

-h

Print help message and exit.

-i

Enter interactive mode after executing a script. Hint: useful for postmortem debugging; see also pdb.pm(), described in Python’s library manuals.

-O

Optimize generated byte code (create and use .pyo byte-code files). Currently yields a minor performance improvement.

-OO

Operates like -O, the previous option, but also removes docstrings from byte code.

-q

Do not print version and copyright message on interactive startup (as of Python 3.2).

-s

Do not add the user site directory to the sys.path module search path.

-S

Do not imply “import site” on initialization.

-u

Force stdout and stderr to be unbuffered and binary.

-v

Print a message each time a module is initialized, showing the place from which it is loaded; repeat this flag for more verbose output.

-V

Print Python version number and exit (also available as --version).

-W arg

Warnings control: arg takes the form action:message: category:module:lineno. See also “Warnings Framework” and “Warning Category Exceptions” ahead, and the warn ings module documentation in the Python Library Reference manual (available at http://www.python.org/doc/).

-x

Skip first line of source, allowing use of non-Unix forms of

#!cmd.

-X option

Set implementation-specific option (as of Python 3.2); see implementation documentation for supported option values.

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