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Data Structures in Python.pptx
- 2. Data Structure What is Data Structure? Organizing, managing and storing data is important as it enables easier access and efficient modifications. Data Structures allows you to organize your data in such a way that enables you to store collections of data, relate them and perform operations on them accordingly. Philosophy “Clever” ways to organize information in order to enable efficient computation
- 3. Goals what the tools are for storing and processing common data types which tools are appropriate for which need So that make good design choices as a programmer Another Goal is it must be rich in structure to reflect the actual relationship of data in real world .The structure should be simple enough for efficient processing of data .
- 4. Data
- 6. Built-in Data Structure Understand Data Understand the data according to its Nature. Map the data with available structure. choosing the right data structure for your data
- 7. Three W’s Why we are using data? What we are going to do with the data? Where we are sending data i.e location or container?
- 8. Python’s Data structure Data Structure Built-in Data Structure List Tuples User Defined Data Structure Dictionary Set Hash Map Graph Linked List Tree Stack Queue
- 10. Lists This Data structure use for storing and accesing objects which belongs in a specific sequence. Lists are used to store multiple items in a single variable Lists in Python are linear containers used for storing data of various Data Types. The ability to store a variety of data is what makes Lists a very unique and vital Data Structure in Python.
- 11. Examples city_list=['Newyork','chicago', 'Los Angeles', 'Houston', 'Philadelphia', 'Dallas'] squares = [‘1’, ‘4, 9’, ’16’] List with Mixed Data types My_list = [‘1’ ,”Hello”, ‘3.5’]
- 12. Example data = [{"id": ("1", "2", "3"), "name": ("Dannie", "Williams"), "department": ("HR", "IT")}, {"id": ("4", "5", "6"), "name": ("jhon", "smith"), "department": ("HR", "IT")}, {"id": ("7", "8", "9"), "name": ("Allen", "polard"), "department": ("finance", "IT")}, {"id": ("10", "11", "12"), "name": ("Reema", "Ferguson"), "department": ("business", "IT")}, {"id": ("13", "14", "15"), "name": ("patrick", "Donald"), "department": ("business", "IT")}]
- 13. List of Tweets
- 14. Features of Lists Lists are ordered. Lists can contain any arbitrary objects. List elements can be accessed by index. Lists are mutable. Lists are dynamic.
- 15. Lists Syntax List_variables = [ val1,val2,val3…….] My_list = [1,2,3]
- 16. List Indices my_list =[1,2,3,4,5,6,7,8,9,10]
- 17. List Methods Append() Count Index() Insert() Pop() Remove() Reverse() Sort() Extend() If you want to remember these methods (ASPIRER)