Live mentorship on campus
Shribi engineers walk the aisles, review code, and run stand-up style labs in your college.
Campus workshop
Master Data Structures and Algorithms using Python
A campus lab workshop where students implement core data structures and algorithms in Python, then solve placement-style problems with live mentoring from Shribi engineers.
What students will learn
Outcomes for this campus batch
- Write clean Python for arrays, hashing, recursion, lists, stacks, queues, trees, and graphs
- Explain time and space complexity the way interviewers expect
- Debug on a whiteboard and in a lab, not only from slides
- Complete a small project they can show in placements
- Sit a timed problem set that feels like a campus drive round
40+Practice problems
16–24Lab hours
2–3Campus days
LiveShribi mentors
Highlights
Built for college labs, not an online store
Problem sheets, not only lectures
Each module has practice problems. Students code in the lab while mentors unstick them.
Placement-shaped practice
Timed sets and “explain your approach” rounds, without pretending this is an off-campus bootcamp.
Projects you can demo
Every batch ships a small Python project they can talk about in interviews.
Labs & projects
What the batch will build
Students work in your labs. These are the artefacts they leave with.
Sudoku solver
Backtracking in Python with a clear explanation of pruning.
LRU cache
Hash map + linked list — a favourite placement question, implemented fully.
Graph navigator
BFS / DFS on a campus-map style graph with a short write-up.
Sorting visualiser
Compare a few algorithms and discuss when each is the wrong choice.
Expression evaluator
Stacks for infix / postfix — useful for compiler and interview talk.
Mini contest set
A timed sheet students finish in lab hours, then review as a group.
How you can host it
Choose a campus format
No individual checkout. The college books the batch and we deliver on site.
2-day campus lab
2 days
- Language warmup
- Core structures
- One project
- Closing problem set
3-day placement intensive
3 days
- Full curriculum
- Two projects
- Mock interview drill
- Talent opt-in review
Curriculum
How the campus days are structured
- 01
Python warmup
Syntax refresh · STL / collections you will actually use · How we review code in lab
- 02
Arrays & hashing
Two pointers · Prefix patterns · Maps and sets
- 03
Recursion & backtracking
Call stack mental model · Subsets and permutations · Sudoku-style search
- 04
Lists, stacks, queues
Pointers vs indices · LRU sketch · Expression parsing
- 05
Trees & graphs
BST vs heap talk · BFS / DFS · When graphs show up in product work
- 06
Timed lab
Placement-style set · Explain your approach · Group review
Mentors
Know the engineers who run the lab
Practising Shribi engineers — not a rented recording of someone else's course.
Hemant Sharma
Software Engineer, Shribi Technologies
Builds production software at Shribi and runs campus labs so students practise the same problem-solving we use on client work.
Gaurav Singh
Sr. Software Engineer, Shribi Technologies
Architects applications and coaches student batches on structure, debugging, and how interviews actually run.
Krishna
Sr. Software Engineer, Shribi Technologies
Focuses on system design and backend thinking — useful when DSA has to connect to real APIs and products.
Still planning the batch?
Get a call back for your college
Tell us the campus, student year, lab size, and preferred dates. We will propose a schedule for Master Data Structures and Algorithms using Python.
FAQ
Questions colleges ask before they book
Is this an online course we buy individually?
No. This is an on-campus workshop that Shribi runs at your college. Placement cells, HODs, or clubs book a batch. Students do not purchase a seat online.
Where is the training held?
In your campus computer labs. We travel to colleges; we started with the GLA University ecosystem in Mathura and run programmes for other engineering campuses on request.
Do students get a certificate after the Python DSA workshop?
Yes. Participants who complete the labs receive a Shribi workshop completion note. It is not a substitute for a degree — it records the project and problem work they did on campus.
What should the college provide?
A lab with machines, a projector or screen, and a student list. We bring the curriculum, problem sheets, mentors, and the closing demo format.
Can this connect to internships or hiring?
If the college opts in, strong participants can be reviewed privately through Shribi Talent. We do not publish a public directory of students.