Python decision making_loops part7
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This document discusses various types of loops in Python including for loops, while loops, and nested loops. It provides examples of using a for loop to iterate through a list and print each item, as well as using nested while loops to check if a number is prime. The document also briefly mentions loop control statements like break, continue, and pass that can change the normal execution flow of a loop.
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![Iterating by Sequence Index
• An alternative way of iterating through each item is
by index offset into the sequence itself.
Example
fruits = ['banana', 'apple', 'mango']
for index in range(len(fruits)):
print 'Current fruit :', fruits[index]
print "Good bye!"
#Output
Current fruit : banana
Current fruit : apple
Current fruit : mango
Good bye!](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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1) Security, which includes elements like encryption, authentication, and authorization to securely handle sensitive data across networked computers.
2) User interface to access information on the grid, often through an application interface or portal.
3) Workload management for applications to discover available resources and their status.
4) Scheduler to locate computers to run applications and assign jobs, taking into account queues, load, and resource availability.
5) Data management to securely move data as needed to the right place across machines for applications.
6) Resource management to handle tasks like launching jobs, monitoring status, and retrieving results.
Python files / directories part16
The document discusses reading from and writing to files in Python. It describes the write() and read() methods for writing strings to and reading from open files. It also covers opening files with different modes like "a" for append and "w" for overwrite. Examples are given to illustrate writing a line of text to a file, reading the first 10 bytes of a file, and reading each line of a file using a loop.
Python Classes and Objects part14
The self parameter is used to access variables that belong to a class from within its methods. It refers to the current instance of the class and must be the first parameter of any method in the class. For example, a Person class defines self in the __init__() method to set name and age attributes, and in the myfunc() method to print the name attribute. We can create objects of a class, modify or delete their properties using keywords like del, and delete objects by deleting all references to them using del.
Python Classes and Objects part13
The document discusses classes and objects in Python. A class defines attributes like data members and methods that characterize objects of that class. The class acts as a blueprint to create objects. The __init__() method is a special method that is called when new objects are instantiated and allows assigning values to object properties. It takes self as the first parameter, which refers to the current object instance and is used to access variables belonging to the class.
Python files / directories part15
The document discusses file handling in Python. It explains that the open() function is key for working with files in Python and takes a filename and mode as parameters. It describes different modes for opening files, including 'r' for reading, 'a' for appending, and 'w' for writing. The document also covers getting file attributes after opening and the close() method for closing files.
Python functions part12
This document discusses passing lists and tuples as arguments to functions in Python. It provides examples of passing a list to a function, which allows the function to iterate through the list. It also discusses variable-length arguments using an asterisk, and provides an example of a function that accepts additional unnamed arguments as a tuple. Finally, it discusses anonymous functions in Python using the lambda keyword, and provides an example of defining and calling an anonymous function.
Python functions part11
This document discusses different types of arguments that can be passed to functions in Python, including required arguments, keyword arguments, default arguments, and passing lists as arguments.
Required arguments must be passed to a function in the correct positional order. Keyword arguments allow the caller to identify arguments by parameter name instead of position. Default arguments assume a default value if no value is provided for that argument in the function call. Passing a list as an argument allows a function to accept a variable number of values. Examples are provided to illustrate each type of argument.
Python functions part10
Functions allow you to reuse code by defining blocks of code that can be called. Functions can take parameters and return values. To define a function, use the def keyword followed by the function name and parameters in parentheses. The code block is indented and starts with a colon. To call a function, use the function name followed by parentheses. Arguments can be passed into functions when calling them to provide input.
List view5
The document discusses ArrayAdapter methods for modifying and working with lists in Android. It lists methods for adding and removing items from the list, clearing the list, notifying of data changes, and getting items and positions. It also mentions abilities of ArrayAdapter like filtering and sorting the list. Questions at the end ask to explain the helper methods and provide an example for one method.
Python decision making_loops_control statements part9
The range() function in Python is used to generate sequences of numbers. It returns a sequence of integers from start to stop-1 by default or allowing for specification of the start, stop, and step values. Examples show using range() in for loops to print numbers from 0 to 5 with the default start of 0 and increment of 1, from 2 to 6 with a specified start of 2, and from 2 to 30 incrementing by 3. The document also provides examples of calculating a factorial using for and while loops with range().
List view4
The document discusses Toasts in Android, which are popup messages that provide feedback to users without taking focus away from the current activity. It explains that Toasts are lightweight and non-interactive, and can display text for a predefined short or long duration. An example is provided using the makeText() method, which requires a Context, message string, and duration as parameters. The document also outlines how to specify toast duration and customize toast location on screen.
List view3
The document discusses ListView and AdapterView in Android. It notes that ListView derives from AdapterView, which are views that use adapters. It lists subclasses of AdapterView like AdapterViewFlipper and GridView. It then focuses on ListView and how to add event handling through an onItemClickListener, providing an example of setting one on a ListView to react to clicks and display a Toast with the item position.
Python decision making_loops_control statements part8
The document discusses the break, continue, and pass statements in Python. It provides examples of how each statement can be used in for and while loops. The break statement terminates the current loop and continues execution after the loop. The continue statement skips the rest of the current loop iteration and continues to the next one. The pass statement is used when a statement is syntactically required but no operation needs to be performed.
Python decision making_loops part6
1. Decision making statements like if-else statements and nested if statements allow programmers to execute different code based on certain conditions being true or false.
2. A nested if statement is when an if statement is placed inside the true block of an outer if statement, allowing for more complex conditional logic.
3. The main difference between if-else and nested if statements is that if-else provides two execution paths based on a single condition, while nested if allows evaluating multiple conditions in sequence to determine the correct execution path.
List view2
This document discusses using built-in layouts and ListView in Android. It provides code to populate a ListView with sample data using an ArrayAdapter. The ListView is defined in an XML layout file and populated in the activity code. Built-in layouts like simple_list_item_1 provide easy-to-use templates for common widgets like TextView and simplify ListView implementation.
List view1
The document discusses the key components of a ListView in Android, including the ListView itself, list items, and data for each item. It explains that list items can contain simple or complex layouts. The data comes from adapters that act as intermediaries between the data source and ListView. Adapters fetch data, create layouts for each item, and return items to the ListView. Common data sources are arrays, content providers, and database cursors. The main adapter types are ArrayAdapter for arrays and SimpleCursorAdapter for content providers and cursors.
Python decision making part5
This document discusses nested if statements in Python. It provides an example of using nested if/elif statements to check multiple conditions for a variable. The syntax shows that an if/elif/else construct can be placed inside another if/elif/else construct. A sample code is given to illustrate this, where an outer if checks if a variable is less than 200, and nested if/elif statements check for specific values of 100, 150, or less than 50.
Python decision making part4
This document discusses decision making structures in Python, including if, if-else, and if-elif-else statements. It provides the syntax and examples of using each type of statement to evaluate conditions and execute code blocks based on whether the conditions evaluate to True or False. The if statement executes code if the expression is true, if-else adds an else block for when the expression is false, and if-elif-else allows checking multiple expressions and executing the block for the first one that is true.
Python operators part3
This document discusses membership and identity operators in Python. Membership operators like 'in' and 'not in' evaluate to True if a variable is or is not found in a specified sequence. Identity operators like 'is' and 'is not' evaluate to True if two variables point to the same object or not. The document also provides examples of using these operators and defines their behavior.
Python operators part2
This document summarizes common operators in programming languages. It describes arithmetic, comparison, assignment, logical, bitwise, and membership operators. For each type of operator, it provides examples of common operators like addition, subtraction, equality, assignment, AND, OR, and examples of their usage. The document is intended as an introduction to different types of operators that can manipulate and compare values in programming.
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- 1. Prof. Neeraj Bhargava Vishal Dutt Department of Computer Science, School of Engineering & System Sciences MDS University, Ajmer
- 2. Iterating by Sequence Index • An alternative way of iterating through each item is by index offset into the sequence itself. Example fruits = ['banana', 'apple', 'mango'] for index in range(len(fruits)): print 'Current fruit :', fruits[index] print "Good bye!" #Output Current fruit : banana Current fruit : apple Current fruit : mango Good bye!
- 3. nested loops • Python programming language allows to use one loop inside another loop. Syntax for iterating_var in sequence: for iterating_var in sequence: statements(s) statements(s)
- 4. nested while loop Syntax while expression: while expression: statement(s) statement(s) A final note on loop nesting is that you can put any type of loop inside of any other type of loop. For example a for loop can be inside a while loop or vice versa.
- 5. Example i = 2 while(i < 100): j = 2 while(j <= (i/j)): if not(i%j): break j = j + 1 if (j > i/j) : print i, " is prime" i = i + 1 print "Good bye!" #Output 2 is prime 3 is prime 5 is prime 7 is prime 11 is prime 13 is prime 17 is prime 19 is prime 23 is prime 29 is prime 31 is prime 37 is prime 41 is prime 43 is prime 47 is prime 53 is prime 59 is prime 61 is prime 67 is prime 71 is prime 73 is prime 79 is prime 83 is prime 89 is prime 97 is prime Good bye!
- 6. Loop Control Statements Loop control statements change execution from its normal sequence. When execution leaves a scope, all automatic objects that were created in that scope are destroyed. Python supports the following control statements. Click the following links to check their detail.
- 7. Sr.No. Control Statement & Description 1 break statement: Terminates the loop statement and transfers execution to the statement immediately following the loop. 2 continue statement: Causes the loop to skip the remainder of its body and immediately retest its condition prior to reiterating. 3 pass statement: The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute.
- 8. Questions Explain various Loop statement? Explain nested Loop with example?