Torchbearersnotebook.blogspot.com program to create a list in python and values of list will be taken as input (1)
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The document discusses Python programs for performing various operations on lists, including creating a list and taking input values, adding elements to the end or at a specific index, removing the last element or a specific element, and more. Each operation is demonstrated through a short Python program that takes fruit names as input and adds or removes them from a list called myfruitlist.
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#!/user/bin/python
def add(x, y):
return x + y
def subtract(x, y):
return x - y
def multiply(x, y):
return x * y
def divide(x, y):
return x / y
def exp(x, y):
return x ** y
def mod(x, y):
return x % y
print(\"Select any one operation what you want to perform.\")
print(\"1.Add\")
print(\"2.Subtract\")
print(\"3.Multiply\")
print(\"4.Divide\")
print(\"5.Exponent\")
print(\"6.Remainder\")
choice = input(\"Enter choice(1/2/3/4/5/6):\")
num1 = int(input(\"Enter first number: \"))
num2 = int(input(\"Enter second number: \"))
if choice == \'1\':
print(num1,\"+\",num2,\"=\", add(num1,num2))
elif choice == \'2\':
print(num1,\"-\",num2,\"=\", subtract(num1,num2))
elif choice == \'3\':
print(num1,\"*\",num2,\"=\", multiply(num1,num2))
elif choice == \'4\':
print(num1,\"/\",num2,\"=\", divide(num1,num2))
elif choice == \'5\':
print(num1,\"**\",num2,\"=\", exp(num1,num2))
elif choice == \'6\':
print(num1,\"%\",num2,\"=\", mod(num1,num2))
else:
print(\"Invalid input\")
.
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you!
Hello , Choose please one of the following program types:
The assignment is to write a menu driven program that manages a small business inventory,
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id
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location of the deleted entry
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The document is a practical report submitted by Prabhseerat Kaur of class 12 Non Medical A to their teacher, Mr. Gaggandeep Singh, at Guru Teg Bahadur Public School in partial fulfillment of the requirements for formal assessment in Computer Science. The report contains 20 programs written by Prabhseerat Kaur covering topics like arithmetic operations, perfect numbers, Armstrong numbers, factorials, Fibonacci series, palindrome strings, list operations, MySQL database connectivity, stacks, queues, and random number generation. Each program is accompanied by its corresponding output.
7 Python udf.pptx
The document discusses user defined functions in Python. It covers topics like defining functions, passing parameters to functions, returning values from functions, global vs local scope, passing lists/tuples to functions, and pass by reference vs pass by value. Examples are provided to illustrate function definition syntax, calling functions, accessing parameters and return values, modifying global vs local variables, iterating through passed lists/tuples, and how changes made to passed lists are reflected globally due to pass by reference in Python.
Programas Gambas
The document contains 18 programming exercises in Spanish with descriptions and code snippets. The exercises cover topics like:
1. Basic programming concepts like "Hello World" and variables.
2. Math operations like addition, finding the maximum of 3 numbers.
3. Functions, objects, and graphical user interfaces.
4. Exercises get more advanced covering things like Fibonacci series, vehicles as objects, and a basic calculator application.
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Python programs - first semester computer lab manual (polytechnics)
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I really need help with this Assignment Please in C programming not .pdf
I really need help with this Assignment Please in C programming not .pdf
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Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
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Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
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Marius Conjeaud
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
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Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
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How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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HCL Notes and Domino License Cost Reduction in the World of DLAU
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
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Torchbearersnotebook.blogspot.com program to create a list in python and values of list will be taken as input (1)
- 1. 1/8 PROGRAM TO CREATE A LIST IN PYTHON AND VALUES OF LIST WILL BE TAKEN AS INPUT torchbearersnotebook.blogspot.com/2021/07/program-to-create-list-in-python-and.html TO CREATE A LIST OF FRUITS AND TAKE FRUITS AS INPUT WRITE THE PROGRAM GIVEN BELOW: print("Enter fruit number 1:") a = input() print(a) print("Enter fruit number 2:") b = input() print(b) print("Enter fruit number 3:") c = input() print(c) print("Enter fruit number 4:") d = input() print(d) print("Enter fruit number 5:") e = input() print(e) print("Enter fruit number 6:") f = input() print(f)
- 2. 2/8 PROGRAM TO ADD AN ELEMENT AT THE END OF A LIST: print("Enter fruit number 1:") a = input() print(a) print("Enter fruit number 2:") b = input() print(b) print("Enter fruit number 3:") c = input() print(c) print("Enter fruit number 4:") d = input() print(d) print("Enter fruit number 5:") e = input()
- 3. 3/8 print(e) print("Enter fruit number 6:") f = input() print(f) print("Enter fruit number 7:") g = input() print(g) myfruitlist=[a, b, c, d, e, f] print(myfruitlist) myfruitlist.append(g) print(myfruitlist) PROGRAM TO ADD AN ELEMENT AT A PARTICULAR INDEXING OF A LIST: print("Enter fruit number 1:") a = input() print(a) print("Enter fruit number 2:") b = input() print(b) print("Enter fruit number 3:")
- 4. 4/8 c = input() print(c) print("Enter fruit number 4:") d = input() print(d) print("Enter fruit number 5:") e = input() print(e) print("Enter fruit number 6:") f = input() print(f) print("Enter fruit number 7:") g = input() print(g) print("Enter fruit number 8:") h = input() print(h) myfruitlist=[a, b, c, d, e, f, g] print(myfruitlist) myfruitlist.insert(6,h) print(myfruitlist)
- 5. 5/8 PROGRAM THAT REMOVES AND RETURNS THE LAST VALUE FROM THE GIVEN LIST OR THE GIVEN INDEX: print("Enter fruit number 1:") a = input() print(a) print("Enter fruit number 2:") b = input() print(b) print("Enter fruit number 3:") c = input() print(c) print("Enter fruit number 4:") d = input() print(d) print("Enter fruit number 5:") e = input() print(e) print("Enter fruit number 6:") f = input()
- 6. 6/8 print(f) print("Enter fruit number 7:") g = input() print(g) print("Enter fruit number 8:") h = input() print(h) myfruitlist=[a, b, c, d, e, f, g, h] print(myfruitlist) myfruitlist.pop() print(myfruitlist) PROGRAM THAT REMOVES A PARTICULAR ELEMENT FROM YOUR LIST: print("Enter fruit number 1:") a = input() print(a) print("Enter fruit number 2:")
- 7. 7/8 b = input() print(b) print("Enter fruit number 3:") c = input() print(c) print("Enter fruit number 4:") d = input() print(d) print("Enter fruit number 5:") e = input() print(e) print("Enter fruit number 6:") f = input() print(f) print("Enter fruit number 7:") g = input() print(g) print("Enter fruit number 8:") h = input() print(h) myfruitlist=[a, b, c, d, e, f, g, h] print(myfruitlist) myfruitlist.remove(b) print(myfruitlist)
- 8. 8/8