Data Structure is some thing which is base of any programming field whether it is Data Science , General Algorithm design or game development etc .So we can not ignore data structures in any language . Inorder to understand 5 ways to make Data Structure Stronger in Python . We need to start from an interesting overview . So Lets take very high level overview of Data Structure in python–
These data structures and quite generic and core concepts remain unchanged across all programming language . For example – LinkList , Tree , Array etc . The implementation will be different and completely syntax oriented across all the language .
There are some data structure which are specifically design for Python programming . Like – Dictionary , Sets , List ,tuple etc . You need to have strong hands on these . Because most of the time we use these data structures over the general data structures . These are optimized and quite faster .
Today we will discuss the strategies for improving yours understandings in Data Structures with Python –
Before starting this section , I have to ask you some thing that ,”Do you really think every language has its own data structure ?” . This question is pretty straight but I found so many people are still confuse . Do you know why ? See the reason is – they think that most of the data structure like trees , link list which we read in academics are C and C++ specific . Because in the Industries ( Majority ) developer use hash map , linked hash map in java , In python programming dictionary , list etc are mainly preferable . By the way these data structure like trees , LinkList are quite generic , we mostly use their advance and specific form like List in python etc .Because Python data structures are highly optimized and need very less time to implement . Hence they get the priority from custom data structures .
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Data Science Learner Team