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CSV Files
 
 
Connecting-SQL-with-Python
Connecting-SQL-with-Python
 
 
Data Visualization
Data Visualization
 
 
Date & Time
Date & Time
 
 
File Handling
File Handling
 
 
Lists Projects
Lists Projects
 
 
NumPy,Pandas,MatPlotLib
NumPy,Pandas,MatPlotLib
 
 
NumPy
NumPy
 
 
Numerical Method
Numerical Method
 
 
Pandas
Pandas
 
 
Probability and Statistics
Probability and Statistics
 
 
Random Module
Random Module
 
 
Sea-Born
Sea-Born
 
 
Anonymous Function.py
Anonymous Function.py
 
 
Built-in Function.py
Built-in Function.py
 
 
Calculating the magnitude of vector.py
Calculating the magnitude of vector.py
 
 
Calculator.py
Calculator.py
 
 
Checking membership in tuple.py
Checking membership in tuple.py
 
 
Class_example.py
Class_example.py
 
 
Creating,Writting,Reading from the new file or existing file.py
Creating,Writting,Reading from the new file or existing file.py
 
 
Deletion in Sets.py
Deletion in Sets.py
 
 
Dictionary_operations.py
Dictionary_operations.py
 
 
Filter function.py
Filter function.py
 
 
Frozen Sets.py
Frozen Sets.py
 
 
Function with many parameters and return values.py
Function with many parameters and return values.py
 
 
Function.py
Function.py
 
 
Inheritance.py
Inheritance.py
 
 
Intersection in set.py
Intersection in set.py
 
 
List.py
List.py
 
 
Loop.py
Loop.py
 
 
Making the list of user input.py
Making the list of user input.py
 
 
Playing with Strings.py
Playing with Strings.py
 
 
README.md
README.md
 
 
Random Blind date generator.ipynb
Random Blind date generator.ipynb
 
 
Reshape_function.ipynb
Reshape_function.ipynb
 
 
Sets.py
Sets.py
 
 
Sets2.py
Sets2.py
 
 
Simple Exception.py
Simple Exception.py
 
 
Taking Multiple Inputs from a Single Input Function.ipynb
Taking Multiple Inputs from a Single Input Function.ipynb
 
 
To check even or odd in the list of numbers using list.py
To check even or odd in the list of numbers using list.py
 
 
Tuples.py
Tuples.py
 
 
Union in set.py
Union in set.py
 
 
Using Break to check the condition.ipynb
Using Break to check the condition.ipynb
 
 
Using match.py
Using match.py
 
 
Using range.py
Using range.py
 
 
Using strip, split, title, len , divmod and isinstance function.py
Using strip, split, title, len , divmod and isinstance function.py
 
 
dictionary.ipynb
dictionary.ipynb
 
 
exception handling2.py
exception handling2.py
 
 
find_the_sum_of_2_numbers.py
find_the_sum_of_2_numbers.py
 
 
float different styles.py
float different styles.py
 
 
importing_and_renaming_module.py
importing_and_renaming_module.py
 
 
importing_module_practice_from_password_generator.py
importing_module_practice_from_password_generator.py
 
 
list-comprehension.ipynb
list-comprehension.ipynb
 
 
list-comprehension.py
list-comprehension.py
 
 
list1.py
list1.py
 
 
password_generator.py
password_generator.py
 
 
print function .py
print function .py
 
 
replace-function.py
replace-function.py
 
 
using For Loop.py
using For Loop.py
 
 

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Python

Python Practice for Data Science


Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented, and functional programming.


Author-Aadit Sharma

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