Leveraging the power of Python for processing Big Data - an Insight
Python, the highly popular programming language is user friendly as well as remarkably easy to learn. Besides, it also offers a string of highly powerful value added features that help in dealing with relatively large data sets that come handy in improving the productivity of the programmers and engineers.
For people who are familiar with Excel, it is important to pick up the benefit of the high end database of Python, so that they can manage data manipulation and analysis in an efficient way. Be it dealing with huge financial data sets or high value scientific data, Python helps in rapid development for retrieving, converting, processing, and analyzing large amount of data sets. Now let us discuss what gives Python so much power when it comes to processing bigger structures of database.
Holistic Design
Python allows various object oriented as well as functional design patterns. We all know, as different types of problems ask for different ways or processes of thinking, similarly, various problems ask for various types of programming paradigms. Thus, it can well be said that linear procedural process gets automatically associated with a number of scientific problems. However, when we speak about any object oriented style, it is built on classes that have internal functionality as well as external behavior, and that strikes a perfect design pattern.
This is why the classes in Python are practical as well as full-featured. The language is so designed to let everything pass around a particular object that should include functions, various class definitions, as well as modules. It is made up of a fully fledged iterator library and the features thereof combine with each other to make the language flexible enough to solve a wide range of problems, especially while handling huge database and this is one of the main reasons behind its popularity.
Readability
In order to reiterate the recurrent points, the syntactical structure that the language comes up with is extremely strategic as well as well thought. Unlike the other scripting languages like Pearl, when the syntaxes for Python were designed, the primary factor that was taken into consideration was – readability. It is this readability that helps the users deal with large database, using the language. Besides, it also encourages contribution to open source projects so that the users can discuss their codes with others without any problem whatsoever, and that ultimately results in better coding as well as handling of huge data structures.
It strikes the right balance between high and low level programming
Python helps in striking the right balance between the high-level and low-level programming and that has been one of its major strongholds. Its codes are reasonable. On an average, the coders would need to write about 6 lines of codes in C or C++ for each Python line, quite similar to any other high level language. This implies that though the programming speed remains the same, the coding speed for C or C++ is much lesser than that of Python as the coders have to write extra lines for the latter.
Comprehensive Data Structures
Good quality programming asks for usage of correct data structures for maintaining a true as well as justified algorithm. This at times is not taken into consideration while writing codes that are research oriented. However, Python is something different. With lists, sets, dictionaries, tuples, threadsafe queues, strings and other built ins that are used as stacks, it is well built for comprehensive structures of data that in turn leads to better data management, especially when it comes to handling large databases.
Hence, it can well be reiterated that Python offers a wide-ranging as well as complete programming solutions, especially while dealing with large structures of the database and this is almost indispensable in processing big data. This has made the programming language so very popular amongst the programmers and coders of today. You can get in touch with a Python Development company who can help you develop web application within allocated budgets and time schedules.
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