Skip to main content

The best Multi purpose Language Python, why it is so useful

Python and its powerful uses
#Python and its powerful uses:
I have recently started learning Python. During my learning time my friends have asked since you are interested in analytics why you need to learn Python. I explained below reasons. This is one of the powerful languages after Java.
  • Python is similar to many programming languages that people generally know about: Python is very similar to JavaScript, Ruby, and PHP in many respects. Most programmers have a working knowledge of these programming languages and this makes it easier for programmers to learn Python. The basic features of these languages such as the use of arrays, anonymous functions etc., are also present in Python. 
  • Python has very good machine learning libraries: The variety of machine learning libraries that are available in Python is large. One can choose between Scikitlearn, Keras, Theano and Tensorflow. Many neural network libraries such as Keras, Theano etc., are exclusively available in Python. So, if you want to do cutting edge machine learning work, you must know Python. 
  • Python excels at handling text data: Unlike statistical software environments such as R, Python excels at handling text data. People who know Python can easily mine text corpus for useful insights. Python also provides support for Natural Language Processing through NLTK and sPacy
  • Python makes distributed computing very easy: Apache Spark has a Python API called PySpark. Using this piece of software, one can easily do distributed computing. PySpark has in recent times become the de-facto API for Spark.
  • Extensive support for different data sources: It doesn’t matter if one needs to fetch data from an SQL server, a MongoDB database or JSON data from some web API; Python can easily support all these data sources with a very clean and elegant syntax.
The benefits of Learning Python

Learning Python has many advantages – it gives a user many skills, one can fetch data from different sources, create machine learning models and do distributed computing seamlessly. For any programmer, learning Python will not be a difficult task. One can reap a lot of benefits by devoting time to learning Python.

Comments

Popular posts

Blue Prism complete tutorials download now

RPA blue prsim tutorial popular resources I have given in this post. You can download quickly.Learning Blue Prism is really good option if you are learner of Robotic process automation. The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.

The Books Available on Blue Prism 
Blue Prism resourcesDavid chappal PDF bookBlue Prism BlogsVideo Training
RPA training The other Skills you need
Basic business skills and Domain skills are more than enough to be successful in this automation careerScripting languages like Perl/JSON/JavaScript/VBScript.  The interesting point is learning any RPA tool is not a problem. You can learn tool quickly. The real point is how quickly you apply your knowledge to implement automated tasks is important.


Also read
Robotic RPA Software developer skills you needBlue Prism tutorials download to learn quicklyPopular RPA tools functionality differen…

Three popular RPA tools functional differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.

BluePrismBlue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabilities to ensu…

HBASE hadoop database really new features to handle growing data volumes

Hbase is Java implementation of Google's Big table. The data stored in HABSE is as shown below. Which is actually two parts.
Row Key : 00001 Column  : (Column Qualifier:Version:Value)Features or key points of HBASE...
HBase data stores consist of one or more tables, which are indexed by row keys.Data is stored in rows with columns, and rows can have multiple versions.By default, data versioning for rows is implemented with time stamps.Columns are grouped into column families, which must be defined up front during table creation. Column families are stored together on disk, which is why HBase is referred to as a column-oriented data storeIn addition...
HBASE is distributed data store,which leverages a network attached cluster of low-cost commodity servers to store and persist data.HBASE architecture is littel trick to know.

Region Servers...
RegionServers are the software processes (often called daemons) you activate to store and retrieve data in HBase.

The big difference...
Main poin…