#Python Tutorial in Bhubaneswar

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Day in the Life of a CSE Student: What to Expect in BTech

As a 12th standard student considering a BTech in Computer Science and Engineering (CSE), you’re likely curious about what life as a CSE student entails. As a mentor who’s guided many through this journey, I’m here to give you a clear, professional glimpse into a typical day in the life of a BTech CSE student in India. Let’s walk through the experiences, challenges, and rewards you can expect in 2025, so you can decide if this path aligns with your goals.

A Typical Morning: Classes and Learning

Your day as a CSE student often starts early, around 8 or 9 AM, with a mix of lectures and tutorials. You’ll dive into subjects like programming, data structures, and computer networks. A morning might begin with a lecture on algorithms, where you learn how to optimize code for efficiency. According to a 2024 NASSCOM report, CSE curricula in India emphasize practical skills, ensuring you’re ready for the tech industry’s demands.

Classes are interactive, blending theory with real-world applications. At institutions like the NM Institute of Engineering and Technology (NMIET) in Bhubaneswar, faculty use digital tools to explain concepts like object-oriented programming. You’ll take notes, ask questions, and engage in discussions. A 2023 Coursera study found that 75% of CSE students value interactive lectures for building a strong foundation, which is critical for your future career.

Midday: Labs and Hands-On Coding

After lunch, you’ll likely head to the lab, where the magic of coding happens. Labs at some of the best engineering colleges in Odisha are equipped with software like Visual Studio Code and Python environments. You might work on a project, such as coding a simple game or analyzing data with pandas, a popular Python library. These sessions, typically 2-3 hours long, let you apply lecture concepts practically.

Labs can be intense but rewarding. You’ll collaborate with peers, troubleshoot errors, and celebrate when your code runs smoothly. A 2024 HackerRank survey notes that 80% of tech recruiters prioritize hands-on coding skills, making lab work a key part of your BTech experience. If you hit a snag, faculty or seniors are there to guide you, ensuring you’re never stuck for long.

Afternoon: Projects and Group Work

Post-lab, you might have group project sessions or electives like artificial intelligence or cybersecurity. Group work is a big part of CSE, teaching you teamwork and communication—skills employers value, per a 2024 Indeed report. You could be designing a database for a mock e-commerce site or brainstorming an AI chatbot. These projects, often assigned weekly, help you build a portfolio, which 65% of tech firms review during hiring, according to LinkedIn.

You’ll also spend time in the library or digital campus, accessing resources like GeeksforGeeks or IEEE journals. The best engineering colleges in Odisha, with their sophisticated libraries, make research seamless, helping you stay ahead in fast-evolving fields like machine learning.

Evening: Extracurriculars and Skill-Building

Evenings are for balancing academics with extracurriculars. Many CSE students join coding clubs, hackathons, or tech fests, which are common at institutes in Bhubaneswar. These events let you compete, network, and learn beyond the classroom. A 2024 TeamLease report highlights that 70% of CSE students who participate in hackathons secure internships, boosting their career prospects.

You might also dedicate an hour to self-learning. Platforms like Coursera or freeCodeCamp offer free courses in Python or cloud computing, ranked among the top skills in the 2024 TIOBE Index. Whether you’re in a hostel or at home, this time helps you explore interests like AI or web development.

Challenges and Rewards

Life as a CSE student isn’t always easy. You’ll face tight deadlines, complex assignments, and occasional coding frustrations. A 2023 Coursera study found that 60% of CSE students experience stress during project submissions, but 90% feel accomplished after overcoming challenges. Time management is key—balancing studies, projects, and relaxation keeps you on track.

The rewards, though, are immense. You’ll develop skills that lead to high-paying jobs, with software engineering roles starting at ₹6-12 LPA, per a 2024 LinkedIn report. Companies like Cognizant and IBM actively recruit from Odisha’s top colleges, offering a clear path to success.

Preparing for the CSE Life

Excited about this journey? Here’s how to get ready:

Entrance Exams: Focus on JEE Main or OJEE to join top CSE programs. Consistent preparation in math and physics is essential.

Try Coding: Experiment with Python on Codecademy to get a feel for programming.

Research Colleges: Look for institutes with strong placements and modern facilities, like those in Bhubaneswar’s tech hub.

Stay Curious: Follow tech blogs like TechCrunch to understand industry trends.

As you consider BTech CSE, picture a dynamic life filled with learning, creativity, and opportunity. You’ll gain skills to shape the future, from building apps to advancing AI. Start preparing, explore your options, and step confidently into this vibrant field. The tech world awaits your contributions!

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C++ STL Unordered Map – std::unordered_map

In this tutorial you will learn about stl unordered map container i.e. std::unordered_map and all functions applicable on it.

By its name we can say that it comes under Associative containers with Unordered property. We know that any unordered container internally implemented with hash tables. So same has hashing concept in worst case any operation takes O(n) time and in average and best case it takes O(1) time. We can say it vary based on type of hash function we used. With comparison to map containers these work efficiently to find value by using key. And one main difference is that map elements are order but unordered map elements are not in order. Since it is based on key-value pair concept all keys must be unique.

C++ STL Unordered Map – std::unordered_map

Iterators that can be applicable on Unordered map:

begin(): returns iterator to the beginning

end(): returns iterator to the end of the container.

cbegin(): Returns constant iterator to the beginning.

cend(): Returns constant iterator to the end.

To work with unordered map we can separately include unordered_map header file. That is:

#include <unordered_map>

Functions applicable on unordered map:

Inserting and printing:

Here we can insert using index operator []. Main advantage of these key-value type of containers is to store relevant information.

Example:

Andhra – Amaravathi

Telangana – Hyderabad

Odisha – Bhubaneswar

Like this we can store these type of information. Here state names are keys and their capitals are values.

Or we can compare these things with dictionaries in python. For simply understanding and to show all functions on these unordered map  here I am using keys 0, 1, 2, . . . n. And values are user choice. But remember both key and value can be different data types.

Method 1: We can insert using based on key.

Ex: unMap[key] = value;

Method 2: Using insert() function.

Using this we can directly include key and value pair at a time. To say that those are pair, we should use make_pair function.

Since container storing key – value pairs, we use combination of iterators and pointers (“first” for key and “second” for value).

Below example code explains these clearly:

#include <iostream> #include <unordered_map> using namespace std; int main(){ int value; unordered_map <int, int> unMap; // Declearing unordered_map <int, int> :: iterator it; for (int i=0; i<5; i++) { cout << "Enter value for key " << i << endl; cin >> value; unMap [i]= value; // inserting using key } // inserting using .insert function unMap.insert(make_pair(10,100)); cout << "(Key , Value)" << endl; for (it= unMap.begin(); it!= unMap.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } return 0; }

Output

Enter value for key 0 10 Enter value for key 1 20 Enter value for key 2 30 Enter value for key 3 40 Enter value for key 4 50 (Key , Value) (10 , 100) (4 , 50) (0 , 10) (1 , 20) (2 , 30) (3 , 40)

Other modification functions on unordered map:

erase(): We can remove using key. Then key and corresponding value both will be deleted. And by pointing iterator to some pair, we can delete that.

swap(): swaps elements of Unordered map1 to Unordered map2 and vice-versa. Swapping can be done successfully even both containers have different sizes.

clear(): removes all elements in the Unordered map. It results container size to 0.

Example program to show above function:

#include <iostream> #include <unordered_map> using namespace std; int main(){ unordered_map <int, int> unMap; unordered_map <int, int> :: iterator it; for (int i=0; i<5; i++) { unMap [i]= i+10; } cout << "key - value pairs in unordered map are" << endl; cout << "(Key , Value)" << endl; for (it= unMap.begin(); it!= unMap.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } cout << "Erasing pair whcih has key value 3" << endl; unMap.erase(3); it= unMap.begin(); cout << "Erasing first pair" << endl; unMap.erase(it); cout << "Remaining pairs are" << endl; cout << "(Key , Value)" << endl; for (it= unMap.begin(); it!= unMap.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } // creating new unordered map unordered_map <int, int> unMap2; for(int i=0; i<5; i++) { unMap2[i]= i+100; } cout << "New unordered map elements are " << endl; cout << "(Key , Value)" << endl; for (it= unMap2.begin(); it!= unMap2.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } cout << "Performing swap operation......." << endl; unMap.swap(unMap2); cout << "After swap operation second unordered map is " << endl; cout << "(Key , Value)" << endl; for (it= unMap2.begin(); it!= unMap2.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } cout << "After swap operation unMap1 is " << endl; cout << "(Key , Value)" << endl; for (it= unMap.begin(); it!= unMap.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } // clear operation cout << "Applying clear operation on unMap2" << endl; unMap2.clear(); cout << "Now unMap2 is " << endl; cout << "(Key , Value)" << endl; for (it= unMap2.begin(); it!= unMap2.end(); ++it) { cout << "(" << it->first << " , " << it->second << ")" << endl; } return 0; }

Output

key – value pairs in unordered map are (Key , Value) (4 , 14) (0 , 10) (1 , 11) (2 , 12) (3 , 13) Erasing pair whcih has key value 3 Erasing first pair Remaining pairs are (Key , Value) (0 , 10) (1 , 11) (2 , 12) New unordered map elements are (Key , Value) (4 , 104) (0 , 100) (1 , 101) (2 , 102) (3 , 103) Performing swap operation……. After swap operation second unordered map is (Key , Value) (0 , 10) (1 , 11) (2 , 12) After swap operation unMap1 is (Key , Value) (4 , 104) (0 , 100) (1 , 101) (2 , 102) (3 , 103) Applying clear operation on unMap2 Now unMap2 is (Key , Value)

Functions related to capacity:

empty(): returns a Boolean value whether unordered_map is empty or not.

size(): returns present size of the container.

max_size(): returns the maximum size a map can have.

#include<iostream> #include <unordered_map> using namespace std; int main(){ unordered_map <int, int> unMap; unordered_map <int, int> :: iterator it; for (int i=0; i<5; i++) { unMap [i]= i+10; } cout << "Size of the unordered map is " << unMap.size() << endl; cout << "Maximum Size of the unordered map is " << unMap.max_size() << endl; bool check= unMap.empty(); if (check) cout << "Unordered map is empty" << endl; else cout << "Unordered map is not empty" << endl; return 0; }

Output

Size of the unordered map is 5 Maximum Size of the unordered map is 1152921504606846975 Unordered map is not empty

Comment below if you have any queries related to stl unordered map.

The post C++ STL Unordered Map – std::unordered_map appeared first on The Crazy Programmer.

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How to Prepare for FAANG & Product-Based Companies in India

If you’re aiming for a career with top-tier companies like FAANG (Facebook, Amazon, Apple, Netflix, Google) or other product-based firms in India, you’re on an exciting path. These companies offer great opportunities, and with the right preparation, you can land a role that sets you up for success. I’ve been looking into this, and I’d love to guide you with some practical steps you can trust.

Why Target FAANG and Product-Based Companies?

FAANG and similar firms are known for innovation and strong pay. In India, they hire thousands of engineers yearly, especially in tech hubs like Bangalore and Hyderabad. A 2023 report from Naukri.com shows that FAANG jobs in India offer starting salaries between ₹15-25 lakhs per year, with growth to ₹50 lakhs or more as you gain experience. Product-based companies like Zomato or Swiggy also provide creative roles, with salaries starting around ₹8-12 lakhs, per Glassdoor data from 2024.

These jobs let you work on cutting-edge projects—think AI tools or e-commerce platforms. For computer science students, it’s a chance to grow skills and build a career that stands out. The demand is high, with over 10,000 tech roles posted monthly on LinkedIn in 2023, making it a solid goal to aim for.

Key Skills to Focus On

To get noticed, you’ll need a mix of technical and soft skills. Start with coding—practice languages like Python, Java, or C++ on platforms like LeetCode or HackerRank. Data structures and algorithms are a must; FAANG interviews often test these with problems like sorting or graph traversal. A 2022 study from the Indian Institute of Technology Bombay found that 70% of successful candidates mastered these basics.

Problem-solving and communication matter too. Companies value team players who can explain their ideas. Internships or projects can help—try building a small app or contributing to open-source code on GitHub. I’ve heard NMIET in Bhubaneswar offers labs where students work on such projects, and with ties to companies like Cognizant and IBM, it’s a place that comes to mind for practical training. Ranked #248 by Collegedunia for 2025 with a 3.4/5 rating on Shiksha, it shows promise.

How to Prepare Step-by-Step

Let’s break it down. First, assess your current skills. Take online tests to spot weak areas—coding or system design, for example. Then, create a study plan. Spend 2-3 hours daily on coding practice, using resources like GeeksforGeeks, which offers free tutorials tailored for interviews.

Next, build a portfolio. Showcase projects on GitHub or a personal website. A 2023 Internshala report notes that candidates with portfolios are 30% more likely to get interviews. Mock interviews are key too—sites like InterviewBit let you practice with peers or experts.

Finally, apply early. FAANG recruitment starts 6-12 months before graduation. Check company websites or job portals like Naukri.com. If you’re at the best engineering colleges in Orissa, ask your placement cell for support—they often host drives with these firms.

Tips for the Interview Process

Interviews can feel intense, but they’re manageable. Expect coding rounds, where you’ll solve 2-3 problems in 60 minutes. System design questions might come up for senior roles—think about scaling a social media app. A 2024 Glassdoor survey shows 60% of candidates fail due to poor preparation, so practice is your friend.

Behavioral questions test your fit—be ready to share examples of teamwork or challenges you’ve overcome. Dress smartly and research the company beforehand. I’ve seen students benefit from college workshops, and places like NMIET in Bhubaneswar have sessions that prep you for this, with over 400 companies visiting for 3,500+ roles in 2024.

Opportunities and Growth

The payoff is worth it. FAANG offers global exposure, with some engineers moving to offices in the US or Europe. Product-based firms in India, like Flipkart, provide roles in product management or development, with growth to ₹20-30 lakhs in 5 years, per Naukri.com data. Internships are a great entry—Amazon and Google offer summer programs with stipends of ₹50,000-₹1 lakh.

You could start in testing or support roles and move up. A 2023 LinkedIn report highlights that 25% of tech hires in India come from internships, so don’t overlook them.

Getting Started Today

Ready to begin? Start with a coding challenge today—try LeetCode’s easy problems. Join college coding clubs or online forums to learn from others. If you’re considering the best engineering colleges in Orissa, look at their placement records and training programs. It’s about finding a place that fits your goals.

Take it step by step—don’t rush. A 2022 study from the Indian Institute of Management Ahmedabad suggests consistent effort over 6 months boosts success rates by 40%. So, what do you think? Excited to aim for FAANG? I’m here to help if you need more advice!

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Blockchain & Cryptocurrencies: The Future of CSE

If you’re diving into computer science engineering (CSE), you’ve probably heard whispers about blockchain and cryptocurrencies. They’re not just buzzwords—they’re shaping how we think about tech, money, and trust. Let’s chat about why this could be a big deal for your future, especially if you’re eyeing the best colleges in Bhubaneswar to kickstart your journey.

What’s the Deal with Blockchain?

Imagine a digital ledger that no one can mess with—that’s blockchain in a nutshell. It’s a way to record transactions or data securely, where every step is visible but tamper-proof. Think of it like a shared notebook that everyone in a group can see, but only certain people can write in. This tech powers cryptocurrencies like Bitcoin and Ethereum, but its uses go way beyond digital cash. From tracking supply chains to securing medical records, it’s opening doors in ways we’re just starting to explore.

For CSE students, this means learning skills that are in high demand. Companies are looking for folks who can build decentralized apps or ensure data stays safe. It’s not just coding—it’s about understanding systems that don’t rely on a single point of failure. 

Why Cryptocurrencies Matter

Cryptocurrencies are like digital money that runs on blockchain. They let you send value across the world without banks, which is a game-changer for places with shaky financial systems. But it’s not all about buying crypto—understanding how they work can lead you to jobs in fintech, cybersecurity, or even policy-making. The market’s growing fast, with global crypto transactions hitting over $3 trillion in 2023, according to Statista. That’s a lot of opportunity knocking!

As a CSE student, you could work on wallet apps, smart contracts, or even help businesses adopt this tech. It’s hands-on stuff that could set you apart when you graduate.

How This Fits into Your CSE Path

So, how do you get into this? Start with the basics—data structures, algorithms, and networking. Then, dig into blockchain concepts like consensus mechanisms (how nodes agree on data) and cryptography (keeping it secure). Online platforms like Coursera offer courses from universities like Princeton, and they’re a great way to build skills without breaking the bank.

If you’re in Bhubaneswar, the best colleges in Bhubaneswar, like those with strong CSE programs, can give you a solid foundation. Look for places with labs where you can experiment with blockchain tools like Ethereum or Hyperledger. Practical experience beats theory any day when it comes to landing jobs with companies like Infosys or Wipro, which are exploring blockchain solutions.

Challenges and Opportunities Ahead

It’s not all smooth sailing. The crypto world can be volatile—prices swing wildly, and regulations are still catching up. In India, the Reserve Bank of India has been cautious, but the 2023 crypto framework shows a willingness to adapt. This means job security might depend on staying updated, but it also opens doors for innovation. You could be the one designing systems that governments or banks rely on!

On the flip side, the demand for blockchain pros is soaring. A 2023 report from LinkedIn listed it among the top emerging jobs, with salaries in India ranging from ₹6-15 lakhs annually for entry-level roles. That’s a solid start, and with experience, you could climb higher.

Getting Started Today

Ready to explore? Start small—try building a simple blockchain on your laptop using Python tutorials from sites like freeCodeCamp. Join forums like Reddit’s r/blockchain to learn from others. If you’re at a college, ask about projects or internships with local tech firms. The key is to get your hands dirty and build a portfolio.

As you plan your CSE path, think about how blockchain fits. It’s not just a trend—it’s a skill set that could define your career. So, grab the chance, learn the ropes, and let’s see where this takes you. What do you think—excited to give it a shot?

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How to Become a Data Scientist as a CSE Student?

If you’re a CSE (Computer Science and Engineering) student, chances are you’ve already heard the term data science quite a few times. It’s one of the fastest-growing career fields in tech—and for good reason. Companies across the world rely on data to make decisions, and they need skilled people who can make sense of all that information.

So, how do you become a data scientist when you’re still a student? Let’s break it down step by step.

Understand What a Data Scientist Really Does

A data scientist is someone who collects, cleans, and analyzes large amounts of data to help businesses or organizations make smarter decisions. This can involve writing code, using math, working with databases, and communicating findings clearly.

It’s not just about writing programs—it’s also about thinking critically and solving real-world problems with the help of data.

Step 1: Get Your Basics Right

As a CSE student, you already have a head start. Your curriculum likely includes core subjects like programming, algorithms, databases, and computer networks. Pay close attention to:

Python or R (Python is more widely used in data science)

SQL for handling data in databases

Math and Statistics, especially probability, linear algebra, and basic statistics

Data Structures and Algorithms for handling data efficiently

These skills form the foundation of data science work.

Step 2: Learn Data Science Tools and Libraries

Once you’re comfortable with basic programming and math, it’s time to explore tools used by data scientists. You don’t need to master everything at once—start small.

NumPy and Pandas (for handling and analyzing data)

Matplotlib and Seaborn (for creating charts and graphs)

Scikit-learn (for machine learning models)

Jupyter Notebooks (for writing and sharing your code easily)

Plenty of free tutorials and YouTube videos can help you practice these.

Step 3: Take Online Courses and Certifications

While your college of engineering and technology in Bhubaneswar may offer some electives or workshops, adding extra courses can boost your learning. Platforms like Coursera, edX, Udemy, and Kaggle offer beginner-friendly courses in data science and machine learning.

Look for beginner tracks with practical projects. Try courses like:

"Introduction to Data Science in Python"

"Machine Learning" by Andrew Ng

"Python for Data Science and AI" by IBM

These certifications can also strengthen your resume later on.

Step 4: Work on Real Projects

Theory is important, but nothing beats hands-on experience. Try simple projects first:

Analyze sales or weather data

Build a movie recommendation system

Predict house prices using public datasets

Visualize COVID-19 data trends

You can find datasets on sites like Kaggle, UCI Machine Learning Repository, or Google Dataset Search. Try to write a short blog post or upload your project to GitHub so others can see your work.

Step 5: Join Internships and Communities

Real-world experience can help you build both skills and confidence. Look for internships related to data analysis, data science, or even software roles that deal with data.

Also, join online communities like:

Kaggle (for competitions and discussions)

Reddit’s r/datascience

LinkedIn groups focused on analytics

Discord or Telegram groups for peer learning

You’ll learn a lot from seeing what others are doing and sharing your progress too.

Step 6: Build a Portfolio

Before applying for full-time jobs, put together a portfolio. This can include:

2–3 well-documented projects

A GitHub profile with clean code

A short resume highlighting your tools and skills

A LinkedIn profile that reflects your interests in data science

If you're studying at a college of engineering and technology in Bhubaneswar, consider joining tech fests, project expos, or coding clubs that give you space to present your work.

Conclusions

Becoming a data scientist as a CSE student doesn’t require fancy degrees or expensive tools. What you do need is consistency, curiosity, and a clear plan. Start with your basics, explore tools, build small projects, and grow step by step.

The field of data science is full of opportunities—and your classroom is just the beginning.

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