Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
2 Python Basics II meeting 2 tunghai university pdfAnggi Andriyadi
The document explains various programming concepts, primarily focusing on the use of loops (for, while) and functions in Python. It includes examples of how to utilize these constructs to perform repetitive tasks, iterate through sequences, and define reusable code blocks. Additionally, it outlines exercises and practical applications for reinforcing understanding of these concepts.
The document discusses various programming concepts in Python including conditional statements, loops, functions, and random number generation. Conditional statements like if, if-else, and nested if are used to perform tasks based on conditions. Loops like while and for are used for sequential traversal and repetition. Functions allow reusable blocks of code and can accept parameters and return values. The random and randint functions in Python can generate random floating numbers and integers within a given range for probabilistic behavior.
The document discusses dictionaries in Python. It explains that dictionaries are a mapping type that store key-value pairs, with keys being immutable types and values being any type. It provides examples of creating, accessing, updating, removing entries from, and accessing properties of dictionaries. It also covers functions, control flow statements like if/else and while loops, and list comprehensions.
This document discusses Python conditional statements, loops, functions, and lambda functions. It covers:
- If/else statements and conditional operators like ==, !=, <, > for comparisons
- While and for loops
- Defining functions with def and passing arguments, returning values
- Built-in functions like map() and filter()
- Anonymous lambda functions
- Nesting of if statements and for loops
The document provides an overview of control statements in Python, including types of conditional statements such as if, if-else, and if-elif-else structures. It also covers the use of loop statements like while and for loops, as well as loop control statements such as break, continue, and pass. Additionally, it briefly discusses the match statement and how to implement nested conditions.
The document discusses Python operators and control structures. It covers various types of operators in Python like arithmetic, comparison, assignment, logical, bitwise, and membership operators. It provides examples of each operator type. The document also discusses conditional statements like if, elif, else and conditional expressions. It explains while and for loops in Python along with loop control statements like break, continue, and pass. The last section gives some examples of using operators and control structures in Python programs.
The document covers control flow and functions in Python, detailing various types of operators such as arithmetic, relational, logical, assignment, bitwise, membership, and identity operators. It explains conditional statements, iteration structures, and function definitions, including local and global variables, parameters, and string operations. Furthermore, it discusses the mutability of strings and introduces list data structures as alternatives to traditional array implementations.
Learn more about the concepts of Data Types in PythonPrathamKandari
The document provides an overview of Python's built-in data types, including numeric types (integer, float, complex), boolean, and sequence types (string, list, tuple). It explains the mutability of objects, arithmetic and comparison operators, as well as control flow structures like loops and conditional statements. Additionally, it covers type conversions, escape sequences in strings, and examples of using loops for iteration.
This document provides a quick tour of the Python programming language. It introduces basic Python concepts like data types, variables, operators, conditional statements, loops, and functions. It explains how to get user input, perform type conversions, and work with common data types like integers, floats, strings, and booleans. It also demonstrates how to define functions, use default arguments and keyword arguments, and handle global variables. The document uses examples to illustrate concepts like arithmetic operations, string slicing, indexing, concatenation, and repetition.
This document discusses compound statements, control flow statements, and loops in Python. It begins by defining compound statements as groups of statements executed as a unit with specific patterns. It then explains the different types of control flow statements - sequence, selection, and iteration. Sequence refers to statements executed sequentially, selection allows execution based on conditions, and iteration repeats statements. The document discusses if, if-else, and nested if statements for selection. It also covers while and for loops for iteration. Finally, it briefly mentions the continue and break statements that can be used within loops to skip iterations or exit loops early.
This document discusses various Python operators and control flow statements. It covers operators like arithmetic, comparison, bitwise, and logical operators. It also discusses precedence rules for operators. For control flow, it explains if, while, for statements along with break, continue, else blocks. It provides examples of functions, parameters, default arguments, keyword arguments, local and global variables, and return statements.
The document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if-else, while, for, break, continue, and pass in Python. Key operators and statements are defined with examples to illustrate their usage.
This document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if/elif/else, while loops, for loops, and the break, continue, and pass statements. Key points include:
- Python supports operators for arithmetic, comparison, assignment, logical/relational, conditional, and bitwise operations
- Control structures include if/elif/else conditional execution, while and for iterative loops, and break, continue, and pass statements to control loop behavior
- Loops like while and for allow iterating over sequences with optional else blocks to execute after normal termination
The document discusses various operators and statements in Python. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also discusses control flow statements like if-else, while, for, break, continue, else and pass statements. The key points are:
- Python supports operators like +, -, *, /, % for arithmetic. ==, !=, >, < for comparison. and, or, not for logical operations.
- if-else and nested if-elif-else statements allow conditional execution of code blocks.
- while and for loops iterate over blocks until a condition is met or a sequence is exhausted.
- break and continue can terminate or skip iterations in loops.
This document provides a summary of Python programming concepts including conditionals, iteration, functions, strings and lists. It covers topics such as if/else statements, for/while loops, functions with parameters and return values. String methods and slicing are explained. Lists are discussed as arrays in Python. Example programs for square root, GCD, exponentiation and searching arrays are provided to illustrate the concepts.
The document provides an overview of various types of operators in Python, including arithmetic, comparison, logical, assignment, and membership operators. It explains their functionality with examples and addresses control flow statements such as if-elif-else and looping constructs like while and for loops. Additionally, it discusses loop control statements like break, continue, and pass, along with the use of else in loops.
The document provides an overview of Python programming operators, including arithmetic, assignment, comparison, logical, identity, and membership operators, along with control flow statements like conditional statements and loops. It explains the syntax and usage of these operators and statements, highlighting their effectiveness in programming. Additionally, it discusses important concepts like indentation, the break and continue statements, and the pass statement, emphasizing their roles in structuring Python code.
The document discusses Python control structures including if-else statements, indentation, and loops. It provides examples of if statements, if-else statements, nested if statements, and elif statements to test conditions and execute code blocks accordingly. It also discusses for loops and the range() function to iterate through sequences and generate number sequences to repeat code. Loops simplify problems by allowing code to repeat without rewriting and help traverse data structures.
This document provides information on Python code structures, including if/else statements, loops (while and for), functions, and arguments. It explains the basic syntax and usage of these structures. Key points covered include:
- How to write if/else statements and the use of conditions like ==, !=, <, >, etc.
- The syntax of while and for loops, and how to use break, continue, else blocks
- What functions are in Python and how to define them with def, pass arguments, and return values
- The basics of calling functions, optional arguments, and nested structures like if/else in loops
The document provides information on various decision making and looping constructs in Python like if, else, elif, for, while loops. It explains the syntax and usage of these statements with examples. Key decision making constructs covered include if-else, if-elif-else statements. Looping constructs covered include for loops over sequences, range function to generate sequences, while loops, break and continue keywords in loops. Nested if statements and usage of else block with for and while loops are also discussed.
The document discusses various operators and control flow statements in Python. It covers arithmetic, comparison, logical, assignment and membership operators. It also covers if-else conditional statements, while and for loops, and break, continue and pass statements used with loops. The key points are:
- Python supports operators like +, -, *, / etc. for arithmetic and ==, !=, >, < etc. for comparison.
- Control flow statements include if-else for conditional execution, while and for loops for repetition, and break/continue to control loop flow.
- The while loop repeats as long as the condition is true. for loops iterate over sequences like lists, tuples using a loop variable.
Python Flow Control & use of functions.pptxpandyahm47
This document provides an overview of flow control in Python, focusing on conditional statements such as if, elif, and else, as well as loops like while and for. It explains the use of logical operators (and, or), and highlights the importance of indentation and examples of nested statements. Additionally, it introduces list comprehensions and methods for looping through various data structures like lists, tuples, sets, and dictionaries.
UNIT - 2 : 20ACS04 – PROBLEM SOLVING AND PROGRAMMING USING PYTHONNandakumar P
The document outlines the curriculum for a Python programming course, focusing on control structures and data collections including arrays, lists, tuples, dictionaries, and sets. It discusses various programming concepts such as boolean expressions, selection control, iterative control, and problem-solving methodologies. Practical examples and built-in methods are provided for each data type, helping students understand their implementation and usage in Python.
Python is an open source, general-purpose programming language that is easy to use and learn. It supports object-oriented programming and has extensive libraries for tasks like working with arrays and matrices. Python code is written in plain text and uses whitespace indentation to denote code blocks rather than curly braces. It supports common data types like integers, floats, and strings. Functions are defined using the def keyword and can take arguments. Conditionals, loops, exceptions, and other control flow structures allow Python code to respond dynamically to different situations.
Python Revision Tour.pptx class 12 python notesstudent164700
The document provides a comprehensive overview of Python, covering its features, data types, and programming constructs. It introduces various aspects such as data types (numbers, strings, lists, tuples, dictionaries), functions, and flow control mechanisms (if statements, loops). Additionally, it discusses the pros and cons of Python as a programming language, highlighting its simplicity and versatility as well as its performance drawbacks.
The document provides a comprehensive guide on creating and configuring Azure virtual machines, covering essential aspects such as networking, naming conventions, VM sizing options, and pricing models. It also details the various Azure storage account types, replication options, network security features, and additional compute services available on Azure. Overall, it serves as an overview for understanding how to effectively deploy and manage Azure VMs and associated services.
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The document covers control flow and functions in Python, detailing various types of operators such as arithmetic, relational, logical, assignment, bitwise, membership, and identity operators. It explains conditional statements, iteration structures, and function definitions, including local and global variables, parameters, and string operations. Furthermore, it discusses the mutability of strings and introduces list data structures as alternatives to traditional array implementations.
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This document provides a quick tour of the Python programming language. It introduces basic Python concepts like data types, variables, operators, conditional statements, loops, and functions. It explains how to get user input, perform type conversions, and work with common data types like integers, floats, strings, and booleans. It also demonstrates how to define functions, use default arguments and keyword arguments, and handle global variables. The document uses examples to illustrate concepts like arithmetic operations, string slicing, indexing, concatenation, and repetition.
This document discusses compound statements, control flow statements, and loops in Python. It begins by defining compound statements as groups of statements executed as a unit with specific patterns. It then explains the different types of control flow statements - sequence, selection, and iteration. Sequence refers to statements executed sequentially, selection allows execution based on conditions, and iteration repeats statements. The document discusses if, if-else, and nested if statements for selection. It also covers while and for loops for iteration. Finally, it briefly mentions the continue and break statements that can be used within loops to skip iterations or exit loops early.
This document discusses various Python operators and control flow statements. It covers operators like arithmetic, comparison, bitwise, and logical operators. It also discusses precedence rules for operators. For control flow, it explains if, while, for statements along with break, continue, else blocks. It provides examples of functions, parameters, default arguments, keyword arguments, local and global variables, and return statements.
The document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if-else, while, for, break, continue, and pass in Python. Key operators and statements are defined with examples to illustrate their usage.
This document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if/elif/else, while loops, for loops, and the break, continue, and pass statements. Key points include:
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The document discusses various operators and statements in Python. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also discusses control flow statements like if-else, while, for, break, continue, else and pass statements. The key points are:
- Python supports operators like +, -, *, /, % for arithmetic. ==, !=, >, < for comparison. and, or, not for logical operations.
- if-else and nested if-elif-else statements allow conditional execution of code blocks.
- while and for loops iterate over blocks until a condition is met or a sequence is exhausted.
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This document provides a summary of Python programming concepts including conditionals, iteration, functions, strings and lists. It covers topics such as if/else statements, for/while loops, functions with parameters and return values. String methods and slicing are explained. Lists are discussed as arrays in Python. Example programs for square root, GCD, exponentiation and searching arrays are provided to illustrate the concepts.
The document provides an overview of various types of operators in Python, including arithmetic, comparison, logical, assignment, and membership operators. It explains their functionality with examples and addresses control flow statements such as if-elif-else and looping constructs like while and for loops. Additionally, it discusses loop control statements like break, continue, and pass, along with the use of else in loops.
The document provides an overview of Python programming operators, including arithmetic, assignment, comparison, logical, identity, and membership operators, along with control flow statements like conditional statements and loops. It explains the syntax and usage of these operators and statements, highlighting their effectiveness in programming. Additionally, it discusses important concepts like indentation, the break and continue statements, and the pass statement, emphasizing their roles in structuring Python code.
The document discusses Python control structures including if-else statements, indentation, and loops. It provides examples of if statements, if-else statements, nested if statements, and elif statements to test conditions and execute code blocks accordingly. It also discusses for loops and the range() function to iterate through sequences and generate number sequences to repeat code. Loops simplify problems by allowing code to repeat without rewriting and help traverse data structures.
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- What functions are in Python and how to define them with def, pass arguments, and return values
- The basics of calling functions, optional arguments, and nested structures like if/else in loops
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- Python supports operators like +, -, *, / etc. for arithmetic and ==, !=, >, < etc. for comparison.
- Control flow statements include if-else for conditional execution, while and for loops for repetition, and break/continue to control loop flow.
- The while loop repeats as long as the condition is true. for loops iterate over sequences like lists, tuples using a loop variable.
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Python Conditional_Statements_and_Functions
1. Learning Objectives
By the end of this lesson, you will be able to:
Describe expressions
Illustrate conditional statements
Explain loops
Describe functions
3. Conditional Expressions
Conditional expressions are used for comparison. Conditional statements supported by Python
are:
Equal
a==b
Not equal
a!=b
Less than
a<b
Less than or equal
a<=b
Greater than
a>b
Greater than or
equal
a>=b
4. Membership Expressions
Membership expressions are used to validate the membership of a value. It tests for
membership in a sequence, such as strings, lists, or tuples. The different membership
expressions in Python are:
Expression:
▪ Checks for equality
▪ Compares members
6. if, elif, else
Conditional statements execute a group of statements only based on some condition. In
Python, if ,elif, and else are the conditional keyword statements in use.
if: Executes a set of statements only if the condition is true otherwise, statement is
skipped.
Condition
Indentation
matters
7. if, elif, else
elif: elif or else if is to check multiple conditions.
else: If the condition is not true under if or elif, then the code jumps to else condition.
Jumps to
else
9. for Loop
Loops execute a group of statements as long as a condition is True. Python has two basic loops: for
loop and while loop.
for loop: This is also called iterative loop in Python. For loops can iterate over a sequence of
numbers using the "range" and "xrange" functions.
Range function to
set sequence limits
for iteration
16. Functions
A function is a block of code which only runs when it is called.
Defining
function
Passing
variables
Function
Call
17. Functions
A return statement ends the execution of the function call and returns the result. It is the value
of the expression following the return keyword to the caller.
18. In-Built Functions in Python
Python has a large library of in-built functions. Some of them are discussed here.
eval(): It evaluates the passed string as a Python expression and returns the result.
lamba(): helps to create one-line functions in Python.
19. In-Built Functions in Python
map() function returns a list of results after applying the given function to each item of a given
iterable.
• map(fun, iter) : Syntax
• fun : It is a function to which map passes each element of given iterable.
• iter : It is an iterable which is to be mapped.
• You can pass one or more iterable to the map() function.
20. In-Built Functions in Python
round() function rounds a number to give precision in decimal digits. If the number of decimal
places has not been specified, the decimal number is rounded off to a whole number.
Rounds number
to 2 decimal
places
21. In-Built Functions in Python
all() function returns false if any one of the elements of the iterable is zero and true if all the
elements of the iterable are nonzero.
Returns True
as non-zero
sequence
Returns False as
zero is present
in sequence
23. “a” is “apple”, will give output
as:
a. a
b. False
c. True
d. Will show error
Knowledge
Check
1
24. “a” is “apple”, will give output
as:
a. a
b. False
c. True
d. Will show error
Knowledge
Check
1
The correct answer is b
“is “ is a membership operator in Python which returns ‘True’ for exact
value.
26. a.
b.
Let a=“XY“ then the expression: for i in
a:
print(a,end="t")
will give output
as:
X
Y
XY
X
Y
c. X Y
d. XY
XY
Knowledge
Check
2
The correct answer is d
for loop will iterate the sequence two times and ends each iteration with a
tab.
27. Knowledge
Check
3
eval() function evaluates:
a. Expression passed as a string
b. Expression only if it contains digits
c. Expression containing digits and strings
d. Expression to sort the strings
28. eval() function evaluates:
Knowledge
Check
3
The correct answer is a
eval() evaluates the expression passed as a string and returns the
result.
a. Expression passed as a string
b. Expression only if it contains digits
c. Expression containing digits and strings
d. Expression to sort the strings
29. The output of: max(False,-4,-1)
a. -1
b. True
c. False
d. -4
Knowledge
Check
4
30. The output of: max(False,-4,-1)
a. -1
b. True
c. False
d. -4
Knowledge
Check
4
The correct answer is c
The function max() is being used to find the maximum value from -4, -1, and false. Since, false amounts to the
value zero, Hence, False is the right answer.