BBC’s ‘Monty python’,a comedy series,released during the late 1960’s was a huge hit. The Python programming language, released in early 1990’s ,eponymous of the comedy series, turned to be a huge hit too, in the software fraternity. Reasons for the hit runs into a long list – be it the dynamic typing, or cross-platform portability, enforced readability of code, or its ability to take the shape of a scripting or a programming language, or a faster development turnaround.
The power of Python is exploited in development of popular web applications like Youtube,Dropbox & BitTorrent. No wonder that even NASA has used it in space shuttle mission design & in discovery of ‘Higgs-boson’ particles (GOD particles). The rich set of modules available in the language made the top security agency NSA use Python for cryptography. Not to mention that giants like Disney,Sony Dreamworks have used it in game & movie development. Nowadays, given the data is becoming “BIG”, programmers resort to Python for web scraping/Sentiment analysis. Think of ‘Big Data’, the first technology that comes to a programmer’s mind in processing that (ETL & data mining) is Python.www.python.org is the official website of the language. Check out the ‘Success stories’ section and get surprised over the wide domains/sectors that the language is being used.
Learning Python is quite a fun. Thanks to its iteractive console, even a person who is getting his feet wet with programming can quickly learn the concepts.
Possessing the features of both the scripting language like TCL,Perl,Scheme & a systems programming language like C++,C,Java, Python is easy to run & code.
Show a Java program and a Python script to a novice programmer – he definitely finds Python code more readable. The Python script is first converted to platform independent byte code making Python a cross platform one. You don’t need to compile & run unlike C,C++ thus making the life of software developer easier.
The OOP features such as inheritance,polymorphism and encapsulation supports resuability as well. However, OOP is an option in Python. You can still write a simple script to calculate the complex Djikstra’s algorithm for mathematical computation without using OOP. But,if you check the PyPI (Python Package Index) list of available modules, even the Djikstra’s algorithm is available as a module you can plug & play. Such is the comprehensiveness of the modules index.
It can interact with all databases incuding SQL databases such as Sybase, Oracle, MySQL and noSQL databases such as mongoDB,couchDB. In fact, the ‘dictionary’ data structure that Python supports is the ideal one for interacting with noSQL database such as mongoDB which processes documents as key-value pair. Web frameoworks written in Python such as Flask,Django facilitates faster web application building & deployment. It is also employed to process unstructured data or BIGDATA & business analytics. Notable to mention are Web scraping/Sentiment analysis, data science, text mining. It is also used with R language in statistical modelling given the nice visualization libraries it supports, such as Seaborn, Bokeh and Pygal. If you’re used to working with Excel, learn how to get the most out of Python’s higher level data structures to enable super efficient data manipulation and analysis.
Companies of all sizes and in all areas — from the biggest investment banks to the smallest social/mobile web app startups — are using Python to run their business and manage their data, especially because of its OSI-approved open source license and the fact that it can be used for free. Python is not an option anymore but rather a de facto standard for programmers & data scientists.
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Here are the major topics we cover under this Python course Syllabus Getting Started with Python,Sequences,File Operations,Functions, Sorting, Errors,Exception Handling, Regular Expressions,Object Oriented Programming, Debugging, Databases, Project Skeletons, Machine Learning, Hadoop and Python,Web Scraping topics will be covered in mostly practical way with examples.
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