Featured post

Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified

Python Command Line Options 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.

Comments

Popular posts from this blog

Hyperledger Fabric: 20 Real Interview Questions

Best Machine Learning Book for Beginners

Python Assigning Multiple Values at Once