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5 Super SEO Blogger Tools

In this post, I have explained top blogging tools that need to be considered by every blogger. These tools help you write better SEO friendly blog posts.



1). Headline Analyzer The best tool is the EMV Headline Analyzer. When you enter the headline it analyzes it and gives you EMV ranking. When you get '50' and above it performs better SEO.

2). Headline Length Checker The usual headline length is 50 to 60 characters. Beyond that, the headline will get truncated and looks ugly for search engine users. The tool SERP Snippet Optimization Tool useful to know how it appears in the search results.

3). Free Submission to Search Engines The tool Ping-O-Matic is a nice free submission tool. After your blog post, you can submit your feed to Ping-O-Matic. It submits to search engines freely.

4). Spell and Grammar Check Another free tool is Grammarly, this tool checks your spelling and grammar mistakes. So that you can avoid small mistakes.

5). Keyword AnalyzerWordstream Keyword analyzer i…

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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Tokenization story you need Vault based Vs Vault-less

The term tokenization refers to create a numeric or alphanumeric number in place of the original card number. It is difficult for hackers to get original card numbers.

Vault-Tokenization is a concept a Vault server create a new Token for each transaction when Customer uses Credit or Debit Card at Merchant outlets 
Let us see an example,  data analysis. Here, card numbers masked with other junk characters for security purpose.

Popular Tokenization ServersThere are two kinds of servers currently popular for implementing tokenization.
Vault-based Vault-less Video Presentation on Tokenization
Vault-based server The term vault based means both card number and token will be stored in a Table usually Teradata tables. During increasing volume of transactions, the handling of Table is a big challenge.
Every time during tokenization it stores a record for each card and its token. When you used a card multiple times, each time it generates multiple tokens. It is a fundamental concept.
So the challe…