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Core Python
Advanced Python
By
Venkatesh Mansani
venkatesh.mansani@yahoo.com

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Python Fundamentals

Python: Python is an interpreted, high level, general purpose programming language. Differences between compiler and interpreter 1) Compiler converts whole program at a time where as Interpreter conver line by line 2) Compiler generates a file where as Interpreter does not generates a file 3) Compiler is fast where as Interpreter is slow Both Compiler and Interpreter are translation softwares. Whenever we run python program, internally source code converted into byte code by python compiler, byte code converted into bit code by python virtual machine and bit code executed under operating system to get the output. Python supports scripting, structured programming, modular programming and Object Oriented Programming. Applications of python: 1) Artificial Intelligence & Machine Learning Applications 2) Data Science & Data Visualization Applications 3) Web Scrapping Applications 4) Scientific & Numeric Applications 5) IOT(Internet Of Things) Applic
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Control Flow Statements

Control Flow Statements are divided into three categories in Python: 1) Decision Making Statements 2) Iteration Statements(Loops) 3) Jump Statements 1) Decision Making Statements: Decision making statements contain conditions. If the condition is true then a set of statements executed and if the condition is false then another set of statements are executed. Decision making statements are also called selection statements. i) if Statement ii) if else Statement iii) if elif ....... else Statement iv) Nested if Statement 2) Iteration Statements(Loops): A set of statements executed repeatedly until the condition becomes false is called as iterative statement or loop. i) while loop ii) while loop with else block iii) for loop iv) for loop with else block v) Nested loops 3) Jump Statements: Jump statements are used to terminate the loop or to skip the part of a loop. i) break Statement ii) continue Statement iii) pass Statement Assignment4:
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Collection Types

Collection Types: A collection is an object that represents group of objects. Advantages of Collection Types: 1) R educes programming effort 2) Increases programming speed and quality There are five collection types in python: 1) list 2) tuple 3) set 4) frozenset 5) dict List: Ø List can be created by using square brackets Ø List can also be created by using list() function Ø List can have homogeneous elements or heterogeneous elements Ø List allows duplicates Ø List supports both positive and negative indexing Ø List supports slice operations also Ø List is mutable Ø List supports deleting an element Ø List is an iterable object Ø Elements of a list can be iterated by using for loop or while loop Ø Insertion order is preserved in a list Examples: 1) List with homogeneous elements: a=[10,20,15,25,30] print(a) print(type(a)) 2) List with heterogeneous elements: a=[10, 10.2, “abc”, True] print(a) 3) List with duplicate elements(Ind
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