![LIST declaration
• F=[1,2.0,”Deepali”]
• Items enclosed within Square brackets
• Comma (Separator)](https://image.slidesharecdn.com/datahandlinginpython-211010102623/85/Data-handling-in-python-7-320.jpg)
Data handling in python
- 2. Data Types • Each and every value we enter in a variable have a data type • Which is provided by python interpreter as according to data • A=12 variable Each value have a data type which is stetted by python interpreter
- 3. Data Types • Numbers • String • List • Tuples • Dictionaries • SET • Boolean
- 4. Data Types:Numbers Integer • 12,56 Float • 12.78 Complex • 12+4i
- 5. String • Collection of characters and sequence of characters • A=“Deepali” • Variable should be in • Single quotes(‘Deepali’) • Double quotes(“Deepali”) • Multiline values should be in • Triple double quotes(“ “ “)
- 6. LIST • Ordered Sequence • Contain items • Homogeneous (same) • Hetrogeneous(different) • Flexible data type • Widely used • Changeable(Item can be alter)
- 7. LIST declaration • F=[1,2.0,”Deepali”] • Items enclosed within Square brackets • Comma (Separator)
- 8. Tuples • Ordered Sequence • Unchangable(Tuples can not be altered) • Tuples uses to protect the data • Contain items • Homogeneous (same) • Hetrogeneous(different)
- 9. Tuples declaration • f=(1,2.0,”Deepali”) • Comma(Seperator) • Items enclosed within in parenthesis
- 10. Dictionary declaration Contains a key : value pair F={“Rohan”: “Cycle”,”Satyam”: “Car”} Items enclosed with curly brackets Comma(Seperator for key:value pair)
- 11. Dictionary • Unordered sequence • Contain key values pair • Huge amount of data • Code optimization • Retrieve values from key
- 12. SET • Well defined collection of item • f={1,2.0,”Deepali”} • Items enclosed within curly brackets • Comma (separator)
- 13. Boolean • True or False • Declaration: Bool1=True Bool2=False