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.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
: String, List, Tuple, Dictionary
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
: String, List, Tuple, Dictionary
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
A string in Python is a sequence of characters. It is a derived data type. Strings are immutable. This means that once defined, they cannot be changed. Many Python methods, such as replace , join , or split modify strings.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
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.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
3. Strings And Characters
Creating Strings
Example-1 s = 'Welcome to Python'
Example-2 s = "Welcome to Python"
Example-3 s = """
Welcome to Python
"""
Example-4 s = '''
Welcome to Python
'''
Example-5 s = "Welcome to 'Core' Python"
Example-6 s = 'Welcome to "Core" Python'
Example-7 s = "Welcome totCorenPython"
Example-8 s = r"Welcome totCorenPython"
4. Strings And Characters
Length of a String
len() Is used to find the length of the string
Example str = "Core Python"
n = len(str)
print("Len: ", n)
5. Strings And Characters
Indexing the Strings
str = "Core Python"
#Method-1: Access each character using
while loop
n = len(str)
i = 0
while i < n:
print(str[i], end=' ')
i += 1
#Method-2: Using for loop
for i in str:
print(i, end=' ')
#Method-3: Using slicing operator
for i in str[::]:
print(i, end='')
print()
#Method-4: Using slicing operator
#Take sthe step size as -1
for i in str[: : -1]:
print(i, end='')
Both positive and Negative indexing is possible in Python
6. Strings And Characters
Slicing the Strings
str = "Core Python"
1 str[: :]
Prints all
2 str[0: 9: 1]
Access the string from 0th to 8th element
3 str[0: 9: 2]
Access the string in the step size of 2
4 str[2: 3: 1]
Access the string from 2nd to 3rd Character
5 str[: : 2] Access the entire string in the step size of 2
6 str[: 4: ] Access the string from 0th to 3rd location in steps of 1
7 str[-4: -1: ] Access from str[-4] to str[-2] from left to right
8 str[-6: :] Access from -6 till the end of the string
9 str[-1: -4: -1] When stepsize is negative, then the items are counted from right to
left
10 str[-1: : -1] Retrieve items from str[-1] till the first element from right to left
7. Strings And Characters
Repeating the Strings
The repetition operator * is used for repeating the strings
Example-1 str = "Core Python"
print(str * 2)
Example-2
print(str[5: 7] * 2)
9. Strings And Characters
Membership Operator
We can check, if a string or a character is a member of another string or not using
'in' or 'not in' operator
'in' or 'not in' makes case sensitive comaprisons
Example-1 str = input("Enter the first string: ")
sub = input("Enter the second string: ")
if sub in str:
print(sub+" is found in main string")
else:
print(sub+" is not found in main string")
10. Strings And Characters
Removing Spaces
str = " Ram Ravi "
lstrip() #Removes spaces from the left side
print(str.lstrip())
rstrip() #Removes spaces from the right side
print(str.rstrip())
strip() #Removes spaces from the both sides
print(str.strip())
11. Strings And Characters
Finding the Sub-Strings
Methods useful for finding the strings in the main string
- find()
- rfind()
- index()
- rindex()
find(), index() will search for the sub-string from the begining
rfind(), rindex() will search for the sub-string from the end
find(): Returns -1, if sub-string is not found
index(): Returns 'ValueError' if the sub-string is not found
12. Strings And Characters
Finding the Sub-Strings
Syntax mainstring.find(substring, beg, end)
Example str = input("Enter the main string:")
sub = input("Enter the sub string:")
#Search for the sub-string
n = str.find(sub, 0, len(str))
if n == -1:
print("Sub string not found")
else:
print("Sub string found @: ", n + 1)
13. Strings And Characters
Finding the Sub-Strings
Syntax mainstring.index(substring, beg, end)
Example str = input("Enter the main string:")
sub = input("Enter the sub string:")
#Search for the sub-string
try:
#Search for the sub-string
n = str.index(sub, 0, len(str))
except ValueError:
print("Sub string not found")
else:
print("Sub string found @: ", n + 1)
14. Strings And Characters
Finding the Sub-Strings: Exercise
1 To display all positions of a sub-string in a given main string
15. Strings And Characters
Counting Sub-Strings in a String
count() To count the number of occurrences of a sub-string in a main string
Syntax stringname.count(substring, beg, end)
Example-1 str = “New Delhi”
n = str.count(‘Delhi’)
Example-2 str = “New Delhi”
n = str.count(‘e’, 0, 3)
Example-3 str = “New Delhi”
n = str.count(‘e’, 0, len(str))
16. Strings And Characters
Strings are Immutable
Immutable object is an object whose content cannot be changed
Immutable Numbers, Strings, Tuples
Mutable Lists, Sets, Dictionaries
Reasons: Why strings are made immutable in Python
Performance Takes less time to allocate the memory for the Immutable objects, since
their memory size is fixed
Security Any attempt to modify the string will lead to the creation of new object in
memory and hence ID changes which can be tracked easily
17. Strings And Characters
Strings are Immutable
Immutable object is an object whose content cannot be changed
Example:
s1 = “one”
s2 = “two”
S2 = s1
one two
S1 S2
one two
S1 S2
18. Strings And Characters
Replacing String with another String
replace() To replace the sub-string with another sub-string
Syntax stringname.replace(old, new)
Example str = "Ram is good boy"
str1 = str.replace("good", "handsome")
print(str1)
19. Strings And Characters
Splitting And Joining Strings
join() - Groups into one sring
Syntax separator.join(str)
- separator: Represents the character to be used between two strings
- str: Represents tuple or list of strings
Example str = ("one", "two", "three")
str1 = "-".join(str)
split() - Used to brake the strings
- Pieces are returned as a list
Syntax stringname.split(‘character’)
Example str = "one,two,three"
lst = str.split(',')
20. Strings And Characters
Changing the Case of the Strings
Methods upper()
lower()
swapcase()
title()
str = "Python is the future"
upper() print(str.upper()) PYTHON IS THE FUTURE
lower() print(str.lower()) python is the future
swapcase() print(str.swapcase()) pYTHON IS THE FUTURE
title() print(str.title()) Python Is The Future
21. Strings And Characters
Check: Starting & Ending of Strings
Methods startswith()
endswith()
str = "This is a Python"
startswith() print(str.startswith("This")) True
endswith() print(str.endswith("This")) False
22. Strings And Characters
String Testing Methods
isalnum() Returns True, if all characters in the string are alphanumeric(A – Z, a – z, 0
– 9) and there is atleast one character
isalpha() Returns True, if the string has atleast one character and all characters are
alphabets(A - Z, a – z)
isdigit() Returns True if the string contains only numeric digits(0-9) and False
otherwise
islower() Returns True if the string contains at least one letter and all characters are
in lower case; otherwise it returns False
isupper() Returns True if the string contains at least one letter and all characters are
in upper case; otherwise it returns False
istitle() Returns True if each word of the string starts with a capital letter and there
at least one character in the string; otherwise it returns False
isspace() Returns True if the string contains only spaces; otherwise, it returns False
23. Strings And Characters
Formatting the strings
format() Presenting the string in the clearly understandable manner
Syntax
"format string with replacement fields". format(values)
id = 10
name = "Ram"
sal = 19000.45
print("{}, {}, {}". format(id, name, sal))
print("{}-{}-{}". format(id, name, sal))
print("ID: {0}tName: {1}tSal: {2}n". format(id, name, sal))
print("ID: {2}tName: {0}tSal: {1}n". format(id, name, sal))
print("ID: {two}tName: {zero}tSal: {one}n". format(zero=id, one=name, two=sal))
print("ID: {:d}tName: {:s}tSal: {:10.2f}n". format(id, name, sal))
24. Strings And Characters
Formatting the strings
format() Presenting the string in the clearly understandable manner
Syntax
"format string with replacement fields". format(values)
n = 5000
print("{:*>15d}". format(num))
print("{:*^15d}". format(num))
25. Strings And Characters
Exercise
1. To know the type of character entered by the user
2. To sort the strings in alphabetical order
3. To search for the position for a string in agiven group of strings
4. To find the number of words in a given strings
5. To insert the sub-string into a main string in a particular position