अभ्यास • Week 03

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Weekly Production Deliverable

Target Output

Deliverable: OOPs (Java) complete — pass the TUF+ OOPs quizzes at >90%. Two real from-scratch Python projects on GitHub. You've started seeing vectors visually.

Weeks: W01 W02 W03 Active W04 W05

Monday

0 / 2 done

DSA Recursion theory + concepts with parameters, sum of first N numbers

1.5h

AI/ML From-Scratch Python Project 1

Build an OOP-based Python program from scratch, no tutorial open (e.g. a bank-account or library-management simulator) + add proper docstrings and a README

2.5h

Tuesday

0 / 2 done

DSA Recursion

factorial, sum of array-II, reverse a string-I

1.5h

CORE Abstraction, Interfaces & Static Members

Abstraction + Interfaces + Static Keyword + Inner Classes + TUF+ Quizzes & code practice

2.5h

Wednesday

0 / 2 done

DSA Recursion

check palindrome, check prime, reverse array

1.5h

AI/ML From-Scratch Python Project 2

Build a second OOP-based Python program from scratch in a different domain (e.g. a quiz app or inventory tracker) + debug, polish, and push both projects to GitHub

2.5h

Thursday

0 / 2 done

DSA Recursion

check sorted-II, sum of digits, Fibonacci

1.5h

CORE OOP Advanced & Java Internals

Association, Aggregation, Composition + Object Cloning + Exception Handling (Java) + Generics + File Handling (Java) + Quizzes — OOPs fully done

2.5h

Friday

0 / 2 done

DSA Selection Sort, Bubble Sort

1.5h

AI/ML Linear Algebra Begins (Intuition)

3Blue1Brown — Essence of Linear Algebra ([YouTube]open_in_new) Ep. 1 ("Vectors, what even are they?"), Ep. 2–3 (Linear combinations, span, basis vectors), and Ep. 4 (Linear transformations & matrices)

2.5h

⚡ Weekend High-Load Execution • 8.0h Daily Deep Focus Lab

Saturday

0 / 3 done

DSA Insertion Sort, Merge Sort

1.5h

AI/ML Linear Algebra in Python Lab (4.0h)

Implement vector operations (addition, scalar multiplication, dot product, cosine similarity) in pure Python without NumPy; verify against 3Blue1Brown geometric intuition.

4.0h

APT Quant M3 & Verbal

Quant M3 Work & Wages (Basic & Advance) + Verbal: Fill in the Blanks (Basic & Advance)

2.5h

Sunday

0 / 3 done

DSA Quick Sort + revision: mixed recursion + sorting problems

1.5h

AI/ML Matrix Transformation Visualizer (4.0h)

Code a 2D matrix transformation visualizer using matplotlib (or pure Python vectors); observe shear, rotation, scaling, and determinant areas visually.

4.0h

APT Logical & Full Week Test

Logical: Data Sufficiency (Basic & Advance) + mixed timed revision test (Quant M1–3)

2.5h

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Week 03 Technical Notes & Journal

#LeetCode #Java #DSA #Week03