Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon :, whereas each key is separated by a ‘comma’.
A Dictionary in Python works similar to the Dictionary in a real world. Keys of a Dictionary must be unique and of immutable data type such as Strings, Integers and tuples, but the key-values can be repeated and be of any type.
String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but alike other concepts of Python, this concept here is also easy and short. Python treats file differently as text or binary and this is important. Each line of code includes a sequence of characters and they form text file. Each line of a file is terminated with a special character, called the EOL or End of Line characters like comma {,} or newline character. It ends the current line and tells the interpreter a new one has begun. Let’s start with Reading and Writing files.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
COMPUTER SCIENCE CLASS 12 PRACTICAL FILEAnushka Rai
Here's my Computer Science Board Practical File. I hope you find it as useful as it was to me.This file is however of CBSE class 12th 2020-2021 syllabus.
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but alike other concepts of Python, this concept here is also easy and short. Python treats file differently as text or binary and this is important. Each line of code includes a sequence of characters and they form text file. Each line of a file is terminated with a special character, called the EOL or End of Line characters like comma {,} or newline character. It ends the current line and tells the interpreter a new one has begun. Let’s start with Reading and Writing files.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
COMPUTER SCIENCE CLASS 12 PRACTICAL FILEAnushka Rai
Here's my Computer Science Board Practical File. I hope you find it as useful as it was to me.This file is however of CBSE class 12th 2020-2021 syllabus.
These are the slides of the second part of this multi-part series, from Learn Python Den Haag meetup group. It covers List comprehensions, Dictionary comprehensions and functions.
WHAT IS DICTIONARY IN PYTHON?
HOW TO CREATE A DICTIONARY
INITIALIZE THE DICTIONARY
ACCESSING KEYS AND VALUES FROM A DICTIONARY
LOOPS TO DISPLAY KEYS AND VALUES IN A DICTIONARY
METHODS IN A DICTIONARY
TO WATCH VIDEO OR PDF:
https://computerassignmentsforu.blogspot.com/p/dictinpyxii.html
These problems are so common that you will find in any C learning curriculum. Either in your college or in any IT institute.
I have provided solutions to these problems as well.
Happy learning...
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Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
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- Visualization tools to display your network;
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What you will learn during the webinar:
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Bob Boule
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
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3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. Dictionaries
Introduction
Group of items arranged in the form of key-value pair
Example
d = {"Name": "Ram", "ID": 102, "Salary": 10000}
Program
#Print the entire dictionary
print(d)
#Print only the keys
print("Keys in dic: ", d.keys())
#Print only values
print("Values: ", d.values())
#Print both keys and value pairs as tuples
print(d.items())
3. Dictionaries
Operations
d = {"Name": "Ram", "ID": 102, "Salary": 10000}
1. To get the no. of pairs in the Dictionary n = len(d)
2. To modify the existing value d[salary] = 15000
3. To insert new key:value pair d["Dept"] = "Finance"
4. To delete the key:value pair del d["ID"]
5. To check whether the key is present in
dictionary
"Dept" in d
- Returns True, if it is present
6. We can use any datatype fro values, but keys should obey the rules
R1: Keys should be unique
Ex: emp = {10: "Ram", 20: "Ravi", 10: "Rahim"}
- Old value will be overwritten,
emp = {10: "Rahim", 20: "Ravi"}
R2: Keys should be immutable type. Use numbers, strings or tuples
If mutable keys are used, will get 'TypeError'
4. Dictionaries
Methods
clear() d.clear() Removes all key-value pairs from the d
copy() d1 = d.copy() Copies all items from ‘d’ into a new dictionary ‘d1’
fromkeys() d.fromkeyss(s, [,v])
Create a new dictionary with keys from sequence ‘s’ and
values all set to ‘v’
get() d.get(k, [,v])
Returns the value associated with key ‘k’.
If key is not found, it returns ‘v’
items() d.items()
Returns an object that contains key-value pairs of ‘d’.
The pairs are stored as tuples in the object
keys() d.keys() Returns a sequence of keys from the dictionary ‘d’
values() d.values() Returns a sequence of values from the dictionary ‘d’
update() d.update(x) Adds all elements from dictionary ‘x’ to ‘d’
pop() d.pop(k, [,v]) Removes the key ‘k’ and its value.
5. Dictionaries
Programs
To create the dictionary with employee details
d = {"Name": "Ram", "ID": 1023, "Salary": 10000}
#Print the entire dictionary
print(d)
#Print only the keys
print("Keys in dic: ", d.keys())
#Print only values
print("Values: ", d.values())
#Print both keys and value pairs as tuples
print(d.items())
6. Dictionaries
Programs
#To create a dictionary from the keyboard and display the items
x = {}
print("Enter 'n' value: ", end='')
n = int(input())
for i in range(n):
print("Enter the key: ", end='')
k = input()
print("Enter the value: ", end='')
v = int(input())
x.update({k: v})
print(x)
7. Dictionaries
Using for loop with Dictionaries
Method-1
for k in colors:
print(k)
Method-2
for k in colors:
print(colors[k])
Method-3
for k, v in colors.items():
print("key = {}nValue = {}". format(k, v))
9. Dictionaries
Converting Lists into Dictionary
Two step procedure
- zip()
- dict()
#To convert list into dictionary
countries = ["India", "USA"]
cities = ["New Delhi", "Washington"]
#Make a dictionary
z = zip(countries, cities)
d = dict(z)
print(d)
10. Dictionaries
Converting strings into dictionary
str = "Ram=23,Ganesh=20"
#Create the empty list
lst = []
for x in str.split(','):
y = x.split('=')
lst.append(y)
#Convert into dictionary
d = dict(lst)
print(d)
11. Dictionaries
Passing dictionary to function
By specifying the name of the dictionary as the parameter, we can pass the dictionary to the
function.
Example
d = {10: "Ram"}
display(d)
12. Dictionaries
Ordered Dictionaries
from collections import OrderedDict
Example
d = {10: "Ram"}
display(d)
Program:
#To create the ordered dictionary
from collections import OrderedDict
#Create empty dictionary
d = OrderedDict()
d[10] = 'A'
d[11] = 'B'
d[12] = 'C'
d[13] = 'D'
print(d)