The document provides an introduction to competitive programming, which involves solving algorithm and data structure problems quickly under time and memory constraints. It discusses what competitive programming tests, how to get started, problem properties, examples, where to practice, tips for practicing, reasons for doing competitive programming, drawbacks, prestigious contests, regular contests, and how KIIT students are performing. The high-level goal of competitive programming is improving programming and problem-solving skills through regular practice and competition. It is recognized by major tech companies and helps build useful everyday skills.
The document provides guidance for interviewing at Peepaal, including:
- Technical skills and qualities they seek include strong learning ability, passion for technology, intelligence, willingness to work hard, and strong technical skills.
- For interviews, expect technical and HR rounds. Dress professionally but casually, like non-denim pants and a collared shirt.
- Coding questions will involve data structures, algorithms, and programming language fundamentals. Approach problems methodically and ask clarifying questions.
- Be prepared to discuss experiences and past projects clearly during non-technical questions. Focus on what you learned rather than lengthy stories.
Agile Methodologies And Extreme ProgrammingUtkarsh Khare
The document discusses Agile development and Extreme Programming (XP). It provides an overview of 12 key practices of XP, including planning games, small releases, test-driven development, pair programming, collective ownership, continuous integration and 40-hour work weeks. It also discusses how XP aims to solve software engineering problems through intensive teamwork, handling changes and staff turnover, and involving customers.
Agile Methodologies And Extreme Programming - Svetlin NakovSvetlin Nakov
1. Agile development and Extreme Programming (XP) are methodologies that focus on iterative development, collaboration, and adaptability.
2. XP consists of 12 key practices including simple design, test-driven development, pair programming, and small releases. It aims to improve quality, reduce risks, and adapt to changing requirements.
3. While XP works well for some projects and teams, its practices may not be suitable or flexible enough for all situations. Developers should understand the principles behind XP and tailor practices as needed for their specific projects.
In a whiteboard interview, your goal should be to convince the manager that you will be a positive influence on the team and contribute to the team's success. This guide will help you set the right mindset, ask the right questions, and showcase your strengths.
The document discusses several important topics for software development including unit testing, clean coding principles, design patterns, and useful development tools. It emphasizes that tests are important for preventing bugs and should be included in all projects. Clean coding principles like DRY, KISS and SRP help produce code that is easier to read, change and maintain. Design patterns provide solutions to common problems and a shared vocabulary for developers. Useful tools include IDEs, version control systems, code analysis tools and text editors which can help programmers work more efficiently if used properly.
The document discusses design patterns, which are common solutions to recurring problems in software design. It provides examples of some common design patterns like factory pattern, abstract factory pattern, builder pattern, and prototype pattern. It also discusses categories of design patterns like creational, structural and behavioral patterns.
How Indeed asks coding interview questionsFangda Wang
Coding interviews (aka. whiteboard interviews, or programming interviews) are the primary tools used by Indeed and major tech companies (e.g. Google, Amazon, Facebook) to measure technical skills for potential employees. There are a lot of articles and talks to help interviewees prepare and perform well on the coding interview. However, not many of them share insight into how employers conduct coding interviews and their challenges.
This talk is mainly for companies/managers who want to improve their hiring, or persons who are inspired to be a good interviewers. Wanasit will share his insight on how Indeed (and other tech companies) designed their interviewing processes and trains interviewers, including their principles and challenges.
For the interviewees or students, this talk helps you understand the interviewer-side perspective, thus, helps you prepare for the next interviews. It also includes a few uncommon interviewing tips at the end.
The document discusses test-driven development (TDD) and design-driven development (DDD). It advocates for writing tests before code using short iterative development cycles. TDD helps produce clean code that fulfills requirements by making developers think about required behavior, providing documentation, and improving quality. Common objections to TDD are addressed, noting that it forces understanding of code and tests, creates reusable modular code, and drives simplicity. Guidelines for effective TDD include writing small focused tests with descriptive intentions that are independent and repeatable.
The document discusses various software engineering practices. It outlines core principles like keeping things simple, maintaining vision, and planning for reuse. It also discusses specific practices for communication, planning, modeling, construction, coding, testing, and deployment. For each practice area, it provides principles and guidelines to effectively carry out those practices when developing software.
The document discusses various software engineering practices. It outlines core principles like keeping things simple, maintaining vision, and planning for reuse. It also discusses specific practices for communication, planning, modeling, construction, coding, testing, and deployment. For each practice area, it provides principles and guidelines to effectively carry out those practices when developing software.
Documenting Code - Patterns and Anti-patterns - NLPW 2016Søren Lund
How do we document code? A good solution is to create self-explanatory code; this somewhat eliminates the need to document the code. We still need some very basic documentation. Code comments are one form of documentation, that is often misused. This talk is about self-explanatory code, the documentation we need and code comment patterns and anti-patterns.
The document discusses essential skills that programmers need versus accidental skills. Essential skills are hard to acquire but long-lasting, including things like managing complexity, writing readable code, and limiting bugs. These skills separate good programmers from bad. Accidental skills like knowledge of a specific programming language are easier to obtain but have shorter usefulness. The document advocates spending time on design, planning, unit testing, discussing solutions with others, and considering alternative solutions rather than just focusing on writing code. Developing essential skills through these practices can help programmers continuously learn and improve over the course of their careers.
CSCI 180 Project Grading Your project is graded based .docxfaithxdunce63732
CSCI 180 Project Grading
Your project is graded based on four categories: correctness, assignment requirements,
documentation, and style. Below are the point breakdowns for each of these areas, detailing the
range of points you will receive for achievement levels within each of these categories.
Functionality
Note that you cannot receive the minimum functionality points for a level unless your code fulfills
the requirements for that level. So, for example, if you do not fulfill the C-level requirements
completely (with minor errors), the highest grade you can receive is a 39 no matter what other
features you have put into your code.
60-70
50-59
40-49
30-39
0-30
Code compiles and runs without crashing. Fulfills the A-level requirements. Variant
points based on quality of minor flaws in correctness.
Code compiles and runs without crashing. Fulfills the B-level requirements. Variant
points based on discussion of issues arising in reaching the next stage of the project and
in how easy it is to determine the correctness of the code by running it.
Code compiles and runs without crashing. Fulfills the C-level requirements. Variant
points based on discussion of issues arising in reaching the next stage of the project and
in how easy it is to determine the correctness of the code by running it.
Code compiles and runs without crashing. Fulfills D-level requirements. Variant points
based on discussion of issues arising in reaching the next stage of the project and in how
easy it is to determine the correctness of the code by running it.
Code does not compile or code crashes when run. Variant points awarded based on
quality of analysis of the problem with the code.
Assignment Requirements
5 Handed in on time, code has some documentation, and you included a journal (as described
in assignment). The journal includes comments about tasks and issues you encountered and
describes how you tested the project.
3 Assignment is on time, code has some documentation, the journal is completed, but a bit
sparse but seems like you wrote it as you went.
2 Assignment is on time. The journal may be a bit sparse or it may be obvious that you wrote
it after the fact.
1 The code might be undocumented, or you may not have turned in a journal.
0 There was an assignment? Oh yeah, here it is. Oh, a journal -- can I still do that? It is
obvious you need to spend more time reading about deadlines and what is included when
you hand in your work.
Documentation of Code
During this course, I will frequently award points for documentation as follows (up to 2 points
for each item):
• documentation at top of file including name of file, your name, and date
• description of class (top of file)
• documentation on each public method including parameter and return tags.
• interior docu.
How do we document code? A good solution is to create self-explanatory code; this somewhat eliminates the need to document the code. We still need some very basic documentation. Code comments are one form of documentation, that is often misused. This talk is about self-explanatory code, the documentation we need and code comment patterns and anti-patterns.
When to Code / Config / Config + Code in Salesforce - Nikunj DoshiSakthivel Madesh
When to Code / Config / Config + Code in Salesforce - Nikunj Doshi
In this session discussed about,
- Key Criteria in deciding right solution.
- Pragmatic takeaways from Salesforce's decision guide https://link.medium.com/SNjI4Rs6Udb
- Sample solutions displaying power of Configurable Code!
- - Any Object to Big Objects archiving utility
- - Metadata Driven declarative rollup
- Q&A & Share our horror/memorable stories on this topic
This document discusses refactoring code through careful modifications that do not change functionality. It emphasizes that refactoring requires rigorous unit testing to be done correctly. Successful refactoring can be achieved through uninterrupted work, pair programming, or test-driven development with an automated testing framework. Tests should be written early and often to catch errors introduced during refactoring. The minimum requirement for testing is assert statements, which provide an easy way to start testing without complex tools. Overall, the document stresses that refactoring is best approached as a disciplined process guided by thorough automated testing.
Do you wish to gain thorough knowledge on the topic of computer coding and its numerous benefits? Continue to our blog for a quick lesson on what is coding. (Source URL: https://www.goodcore.co.uk/blog/what-is-coding/)
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called red-green-refactor cycles. In TDD, tests are written before code to define desired functionality, and then code is written to pass those tests; this is followed by refactoring. The benefits of TDD include producing code that is robust, well-designed, and with fewer bugs due to comprehensive test coverage. While TDD requires discipline, it helps ensure code works as intended and allows refactoring with confidence that changes don't break existing functionality. Some potential vulnerabilities of TDD are that it may not prevent wrong solutions if requirements are unclear, can be difficult for UI or database-dependent programs
Architecting Solutions and Systems – Randy’s Secrets to SuccessRandy Williams
This session will provide background and guidance on how Randy has architected software solutions for the past 20+ years. This will cover a range of mostly technical topics, including infrastructure planning, trade-off considerations, performance and scalability, and separation of tiers. Expect to hear plenty of stories from real projects over his career, along with numerous tips on his secrets to success.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
The document summarizes Developers Nepal Meetup #4, which focused on testing. It describes presentations on service orchestration with Consul, remote work challenges/opportunities, and lessons for junior developers. A panel discussion on automated testing featured senior engineers debating the importance of tests. Attendees provided positive feedback, saying they would attend and recommend future meetups.
This document provides best practices for code reviews, including preparing code for review, conducting reviews, and responding to feedback. It recommends making pull requests smaller and easier to review by adding descriptions, comments, and annotations. Reviewers should thoroughly check for bugs, quality, tests, and deployment safety. Major changes during review reset the process, and all feedback requires a response. Reviews are discussions, not dictations. Comments should be on GitHub, not separate, and identify critical vs. optional feedback.
The document discusses test-driven development (TDD) and design-driven development (DDD). It advocates for writing tests before code using short iterative development cycles. TDD helps produce clean code that fulfills requirements by making developers think about required behavior, providing documentation, and improving quality. Common objections to TDD are addressed, noting that it forces understanding of code and tests, creates reusable modular code, and drives simplicity. Guidelines for effective TDD include writing small focused tests with descriptive intentions that are independent and repeatable.
The document discusses various software engineering practices. It outlines core principles like keeping things simple, maintaining vision, and planning for reuse. It also discusses specific practices for communication, planning, modeling, construction, coding, testing, and deployment. For each practice area, it provides principles and guidelines to effectively carry out those practices when developing software.
The document discusses various software engineering practices. It outlines core principles like keeping things simple, maintaining vision, and planning for reuse. It also discusses specific practices for communication, planning, modeling, construction, coding, testing, and deployment. For each practice area, it provides principles and guidelines to effectively carry out those practices when developing software.
Documenting Code - Patterns and Anti-patterns - NLPW 2016Søren Lund
How do we document code? A good solution is to create self-explanatory code; this somewhat eliminates the need to document the code. We still need some very basic documentation. Code comments are one form of documentation, that is often misused. This talk is about self-explanatory code, the documentation we need and code comment patterns and anti-patterns.
The document discusses essential skills that programmers need versus accidental skills. Essential skills are hard to acquire but long-lasting, including things like managing complexity, writing readable code, and limiting bugs. These skills separate good programmers from bad. Accidental skills like knowledge of a specific programming language are easier to obtain but have shorter usefulness. The document advocates spending time on design, planning, unit testing, discussing solutions with others, and considering alternative solutions rather than just focusing on writing code. Developing essential skills through these practices can help programmers continuously learn and improve over the course of their careers.
CSCI 180 Project Grading Your project is graded based .docxfaithxdunce63732
CSCI 180 Project Grading
Your project is graded based on four categories: correctness, assignment requirements,
documentation, and style. Below are the point breakdowns for each of these areas, detailing the
range of points you will receive for achievement levels within each of these categories.
Functionality
Note that you cannot receive the minimum functionality points for a level unless your code fulfills
the requirements for that level. So, for example, if you do not fulfill the C-level requirements
completely (with minor errors), the highest grade you can receive is a 39 no matter what other
features you have put into your code.
60-70
50-59
40-49
30-39
0-30
Code compiles and runs without crashing. Fulfills the A-level requirements. Variant
points based on quality of minor flaws in correctness.
Code compiles and runs without crashing. Fulfills the B-level requirements. Variant
points based on discussion of issues arising in reaching the next stage of the project and
in how easy it is to determine the correctness of the code by running it.
Code compiles and runs without crashing. Fulfills the C-level requirements. Variant
points based on discussion of issues arising in reaching the next stage of the project and
in how easy it is to determine the correctness of the code by running it.
Code compiles and runs without crashing. Fulfills D-level requirements. Variant points
based on discussion of issues arising in reaching the next stage of the project and in how
easy it is to determine the correctness of the code by running it.
Code does not compile or code crashes when run. Variant points awarded based on
quality of analysis of the problem with the code.
Assignment Requirements
5 Handed in on time, code has some documentation, and you included a journal (as described
in assignment). The journal includes comments about tasks and issues you encountered and
describes how you tested the project.
3 Assignment is on time, code has some documentation, the journal is completed, but a bit
sparse but seems like you wrote it as you went.
2 Assignment is on time. The journal may be a bit sparse or it may be obvious that you wrote
it after the fact.
1 The code might be undocumented, or you may not have turned in a journal.
0 There was an assignment? Oh yeah, here it is. Oh, a journal -- can I still do that? It is
obvious you need to spend more time reading about deadlines and what is included when
you hand in your work.
Documentation of Code
During this course, I will frequently award points for documentation as follows (up to 2 points
for each item):
• documentation at top of file including name of file, your name, and date
• description of class (top of file)
• documentation on each public method including parameter and return tags.
• interior docu.
How do we document code? A good solution is to create self-explanatory code; this somewhat eliminates the need to document the code. We still need some very basic documentation. Code comments are one form of documentation, that is often misused. This talk is about self-explanatory code, the documentation we need and code comment patterns and anti-patterns.
When to Code / Config / Config + Code in Salesforce - Nikunj DoshiSakthivel Madesh
When to Code / Config / Config + Code in Salesforce - Nikunj Doshi
In this session discussed about,
- Key Criteria in deciding right solution.
- Pragmatic takeaways from Salesforce's decision guide https://link.medium.com/SNjI4Rs6Udb
- Sample solutions displaying power of Configurable Code!
- - Any Object to Big Objects archiving utility
- - Metadata Driven declarative rollup
- Q&A & Share our horror/memorable stories on this topic
This document discusses refactoring code through careful modifications that do not change functionality. It emphasizes that refactoring requires rigorous unit testing to be done correctly. Successful refactoring can be achieved through uninterrupted work, pair programming, or test-driven development with an automated testing framework. Tests should be written early and often to catch errors introduced during refactoring. The minimum requirement for testing is assert statements, which provide an easy way to start testing without complex tools. Overall, the document stresses that refactoring is best approached as a disciplined process guided by thorough automated testing.
Do you wish to gain thorough knowledge on the topic of computer coding and its numerous benefits? Continue to our blog for a quick lesson on what is coding. (Source URL: https://www.goodcore.co.uk/blog/what-is-coding/)
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called red-green-refactor cycles. In TDD, tests are written before code to define desired functionality, and then code is written to pass those tests; this is followed by refactoring. The benefits of TDD include producing code that is robust, well-designed, and with fewer bugs due to comprehensive test coverage. While TDD requires discipline, it helps ensure code works as intended and allows refactoring with confidence that changes don't break existing functionality. Some potential vulnerabilities of TDD are that it may not prevent wrong solutions if requirements are unclear, can be difficult for UI or database-dependent programs
Architecting Solutions and Systems – Randy’s Secrets to SuccessRandy Williams
This session will provide background and guidance on how Randy has architected software solutions for the past 20+ years. This will cover a range of mostly technical topics, including infrastructure planning, trade-off considerations, performance and scalability, and separation of tiers. Expect to hear plenty of stories from real projects over his career, along with numerous tips on his secrets to success.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
The document summarizes Developers Nepal Meetup #4, which focused on testing. It describes presentations on service orchestration with Consul, remote work challenges/opportunities, and lessons for junior developers. A panel discussion on automated testing featured senior engineers debating the importance of tests. Attendees provided positive feedback, saying they would attend and recommend future meetups.
This document provides best practices for code reviews, including preparing code for review, conducting reviews, and responding to feedback. It recommends making pull requests smaller and easier to review by adding descriptions, comments, and annotations. Reviewers should thoroughly check for bugs, quality, tests, and deployment safety. Major changes during review reset the process, and all feedback requires a response. Reviews are discussions, not dictations. Comments should be on GitHub, not separate, and identify critical vs. optional feedback.
May 2025 - Top 10 Read Articles in Artificial Intelligence and Applications (...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Call For Papers - International Journal on Natural Language Computing (IJNLC)kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a
set of theories and a set of technologies. This forum aims to bring together researchers who have
designed and build software that will analyze, understand, and generate languages that humans use
naturally to address computers.
First Review PPT gfinal gyft ftu liu yrfut goSowndarya6
CyberShieldX provides end-to-end security solutions, including vulnerability assessment, penetration testing, and real-time threat detection for business websites. It ensures that organizations can identify and mitigate security risks before exploitation.
Unlike traditional security tools, CyberShieldX integrates AI models to automate vulnerability detection, minimize false positives, and enhance threat intelligence. This reduces manual effort and improves security accuracy.
Many small and medium businesses lack dedicated cybersecurity teams. CyberShieldX provides an easy-to-use platform with AI-powered insights to assist non-experts in securing their websites.
Traditional enterprise security solutions are often expensive. CyberShieldX, as a SaaS platform, offers cost-effective security solutions with flexible pricing for businesses of all sizes.
Businesses must comply with security regulations, and failure to do so can result in fines or data breaches. CyberShieldX helps organizations meet compliance requirements efficiently.
International Journal of Advance Robotics & Expert Systems (JARES)jaresjournal868
Call For Papers!!!
International Journal of Advance Robotics & Expert Systems (JARES)
Web page Link: http://airccse.com/jares/index.html
Submission Deadline :June17, 2025
submission Link: http://airccse.com/submission/home.html
Contact Us : [email protected] or [email protected] or [email protected]
Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis
The doctoral thesis trajectory has been often characterized as a “long and windy road” or a journey to “Ithaka”, suggesting the promises and challenges of this journey of initiation to research. The doctoral candidates need to complete such journey (i) preserving and even enhancing their wellbeing, (ii) overcoming the many challenges through resilience, while keeping (iii) high standards of ethics and (iv) scientific rigor. This talk will provide a personal account of lessons learnt and recommendations from a senior researcher over his 30+ years of doctoral supervision and care for doctoral students. Specific attention will be paid on the special features of the (i) interdisciplinary doctoral research that involves Information and Communications Technologies (ICT) and other scientific traditions, and (ii) the challenges faced in the complex technological and research landscape dominated by Artificial Intelligence.
Impurities of Water and their Significance.pptxdhanashree78
Impart Taste, Odour, Colour, and Turbidity to water.
Presence of organic matter or industrial wastes or microorganisms (algae) imparts taste and odour to water.
Presence of suspended and colloidal matter imparts turbidity to water.
En esta presentación se encuentra la explicación sobre la tomografía Axial Computarizada, se habla sobre su historia, partes, operación general y especifica del equipo, tipos de densidades y sus aplicaciones más comunes y las innovadoras.
本資料「To CoT or not to CoT?」では、大規模言語モデルにおけるChain of Thought(CoT)プロンプトの効果について詳しく解説しています。
CoTはあらゆるタスクに効く万能な手法ではなく、特に数学的・論理的・アルゴリズム的な推論を伴う課題で高い効果を発揮することが実験から示されています。
一方で、常識や一般知識を問う問題に対しては効果が限定的であることも明らかになりました。
複雑な問題を段階的に分解・実行する「計画と実行」のプロセスにおいて、CoTの強みが活かされる点も注目ポイントです。
This presentation explores when Chain of Thought (CoT) prompting is truly effective in large language models.
The findings show that CoT significantly improves performance on tasks involving mathematical or logical reasoning, while its impact is limited on general knowledge or commonsense tasks.
Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were developed, namely the FIS1S model using subtractive clustering and the FIS2S model utilizing the FCM algorithm. Due to the MATLAB graphical user interface's limitation on the number of membership functions, the coding approach was employed to develop the ANFIS models for optimal prediction accuracy and problem-solving time. So, two programs were created to determine the optimal influence radius for the FIS1S model and the number of membership functions for the FIS2S model to achieve the highest prediction accuracy. The ANFIS models have demonstrated their highest predictive ability in predicting swelling percentage, thanks to the optimization of membership functions and cluster centers. The developed programs also showed excellent performance and can be potentially applied to optimize subtractive clustering and FCM models in accurately modeling various engineering aspects.
2. After getting the question (5-10
mins)
Read the problem statement carefully.
Try to clearly understand all the requirements.
Do not assume anything that is not mentioned in
the problem statement.
If you want to make a specific assumption, discuss it
with the interviewer at this stage.
Ask as many clarifying questions as you can think
of so as to make the requirements clear and remove
any room for ambiguity or misinterpretation.
3. Getting to the solution (10-15 mins)
Spend ~10 minutes thinking about the design of
your solution. This is important.
You do not want to start coding before a proper
design.
While designing think about how you can make it
extensible to accommodate the optional
requirements or any common extension that you
can think of.
Following good design principles and patterns
will generally help.
4. Estimate how much time will it take you to
code with all the requirements.
Prioritize which ones to do so as to at least solve
the most critical ones.
Apart from the design, estimate some time for
creating the main method or API/CLI interface
as mentioned in the problem statement or as
clarified with the interviewer.
Also, estimate some time for testing and making
changes to have the solution working.
5. If your current solution will take a lot of time to
code, try to think of a simpler design that is good
enough and will take less time to code.
This is one of the biggest trade-offs in a machine
coding round (and in general, software
development).
Do not prioritize an optional requirement over a
mandatory requirement.
If you focus more on extensibility and future
requirements and are unable to complete a
mandatory requirement, it's a red flag.
Optional: If possible, draw a UML diagram of your
design for clarity.
6. Coding (60-75 mins)
If you've designed the solution and are
comfortable in coding, this step should be fairly
easy.
Just make sure to code fast so as to complete as
many requirements as possible.
In the end, you need to have a working code. Be
ready with good sample examples to
demonstrate your solution.
7. Gracefully handle exceptions and other corner
cases. You do not want your code to fail during
the demonstration.
Write readable code with proper names. Use
comments, if possible.
You are writing the code for your interviewer to
read and understand.
Use a powerful IDE that you are comfortable
with. Choose one where you can generate most
of the boilerplate code to save time.
8. Demonstration
While demonstrating, make sure to give a high-
level overview of your solution.
Do not explain each and every line of the code.
Your code should be modular and self-explanatory.
Tell the interviewer about all the requirements that
you've completed and if your solution is extensible
for other requirements.
After running your solution on sample input, it may
be a good idea to ask the interviewer if they want
you to test with any other input.
9. #include<stdio.h>
int main (){
char a[25];
int open = 0, close = 0, count = 0;
printf ("Enter the Expression:");
scanf ("%s", &a);
for (count = 0; a[count] != '0'; +
+count); {
printf ("%d n", count);
}
for (int i = 0; i < count; i++) {
if (a[i] == '{') {
open++;
}
else if (a[i] == '}') { close+
+;
}
else {
continue;
}
}
if (open == close) {
printf ("Stable Equation");
}
else {
printf ("Unstable Equation");
}
return 0;
}