Skip to main content

Featured post

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…

Top 10 Key Uses of Python Language Today

Python is a high-level language and it is popular in Data Science. I am sure many developers do not know how where Python will use it. I have given the top 10 key uses of python.
 Loops

  10 top Python key Uses Complete List

  1. Python Scripts - Very much popular in scripting. You can write scripts in many areas. Like Interfaces, to access files, to access database, and to access the application programs.
  2. Python in Web Development - You can use Python in Web development. There are powerful Python frameworks present such as Django, Flask, Web2Py, and Pyramid. You can develop an application in IoS/Android/Windows.
  3. Graphical User Interface - You can develop applications, which need access to GUI. The libraries and APIs like Tkinter, PyQt, PyGTK, and wxPython allow developers to develop GUI-based apps with simple or complex interfaces. 
  4. System Programming - You can use it in System Programming. Like Protocol management, and OS operations. The Python Standard Library (PSL) has OS and POSIX bindings, which can be used for handling files, multi-threading, multi-processing, environment variables, controlling sockets, pipes, and processes. 
  5. Access to database - Python is used to connect and access data from different types of databases, be it SQL or NoSQL. APIs and connectors exist for these databases like MySQL, MSSQL, MongoDB, Oracle, PostgreSQL, and SQLite. In fact, SQLite, a lightweight relational database, now comes as a part of the Python standard distribution.
  6. Scientific Applications - Very much popular in Scientific Computing and Numeric Analysis
  7. Machine Learning/Deep Learning - Python has many libraries and frameworks like Scikit-Learn, h2o, TensorFlow, Keras, PyTorch, and even core libraries like NumPy and SciPy for not only implementing machine learning algorithms but also using them to solve real-world advanced analytics problems.
  8. Text Analytics - Python can handle text data really well and this has led to several popular libraries like NLTK, Gensim, and spaCy for natural language processing, information retrieval, and text analytics. You can also apply standard machine learning algorithms to solve problems related to text analytics.
Reference Books
  • Text Analytics with Python: A Practitioner's Guide to Natural Language Processing, Second Edition  
  • Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration, and Hedging  
  • Python Projects 
Reference Blogs

Comments

Most Viewed

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…