How is Python for Competitive Programming ?

How is Python for Competitive Programming

Competitive programming is one the challenging milestone which we have to pass through . I have seen as we use C or C++ programming in college days ,  I mean beginning days . I agree with the facts that low level implementation of any algorithms gives the full control . But in the same time it takes so much of time  while code development .I know , It seems this discussion is more on high level language vs low language in competitive programming . But it is not completely true , We have are only going forward with Python capabilities . We will do some SWOT analysis ( Strength ,weakness , opportunities and threats ) with special reference to competitive programming . Basically we will see – How is Python for Competitive Programming ?

Python for Competitive Programming-

In order to understand the Python compatibility with Competitive programming , We need to understand the requirement associated with Competitive programming  . In order to address  the requirement of these Competitive programming  , We need to answer these questions-

  1. Can I implement LinkList , Doubly LinkList , Queue etc in Python or not ? If yes then How hard is the implementation ?
  2. Do I know the complexity of inbuilt python functions like sort etc ?
  3. How strong / Flexible is Python’s own data structure ?

So lets answer them –

  1. Yes It is easy to implement LinkList and similar data structure in python easily .
  2. Yes You may know the inbuilt function’s complexity . It may be documented in official release page or stack overflow searches .
  3. Python data structures are very fast and design in such a way that perform basic tasks like searching sorting efficiently .

Reasons to use Python for Competitive programming –

  1. Variable type independent language makes coding very easy for developer . See In other language like C , C ++ or java etc , We have to define the variable type . Here type check is performed by the interpreter itself . This reduce the implementation time by some extents .
  2. Enrich Library supports for basic operations like sort , count etc .
  3. List implementation in Python is really useful .It helps in finding the  last element without having the size details .
  4. If you explore list and other inbuilt data structure , You will not have to implement user define data structure mostly in many cases . As they it provide the inbuilt solution .
  5. Code readability is awesome in python .
  6. Function may return more than one data type . As it is quite different from general / traditional programming language .
  7. Python is not only applicable in algorithms /data structure programming but you may use it for data science , web development.
  8. Very strong open source community is behind the python language . You may easily get the error traces and solutions .

Conclusion –

So how did find this article – “How is Python for Competitive Programming ?” I think this motivate others for competitive programming if they are python developer . I love python for competitive programming because  its syntaxes are really easy . Loop and conditional statement are really developer friendly . If you get the leverage of inbuilt library function it saves tons of time while implementation . Every thing is dynamic which makes logic implementation easiest .


Data Science Learner Team 

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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages, where he and his team share knowledge and help others learn more about data science.
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