Beginner to Advanced5 Weeks Duration

Master Core Python Programming with DSA

Build a rock-solid programming foundation for software engineering.

Learn the core principles of Python development. Master Object-Oriented Programming (OOPs), dynamic memory behaviors, standard library sequences, and build strong problem-solving skills with searching, sorting, and tree structures.

LEARNING SANDBOX

PROJECT LAB

Design & Deploy Dynamic Portfolios

Build completely responsive client landing layouts from Figma grids directly to production servers.

Curriculum Overview

Learn by shipping production assets

We focus 100% on hands-on creation. Each module has practical assignments and portfolio milestones graded manually by developers.

Modules15 Packages
Review Cycles1-on-1 calls
Enrolled150+ Learners

Learn in Tamil & English

Complex software concepts are taught in simple, accessible Tamil so you fully grasp the logic. Professional terminology is kept in English to keep you industry-ready.

Portfolio-Driven Work

We skip dry, academic tests. Every milestone requires you to design or program a real asset. You graduate with a client-ready case study portfolio.

1-on-1 Mentor Reviews

No getting lost in generic video playlists. Get detailed screen-record feedback and 1-on-1 calls with professional designers and developers.

PRODUCTION TOOLKITS

Industrial tools you will master

Skip theoretical tools. Master the layout engines, design programs, and workflows used by high-performance agencies.

Python

Dynamic, high-level programming language ideal for scripting, algorithm design, and data structures.

Dynamic TypingList ComprehensionsStandard Library

PyCharm

Professional Python IDE built for intelligent code analysis, debugging runtime, and syntax refactorings.

Code LintingIntegrated DebuggerTesting Frameworks

Git

Distributed version control system to manage developer branches, commits, merging pipelines, and GitHub codebases.

Commit WorkflowsBranching & MergesRemote Repositories
PATH TIMELINE

Inside the curriculum

Our curriculum is structured to support sequential progress. From foundational theories to advanced production structures and business freelancing tactics.

CURRICULUM SNAPSHOT:

  • 15 Structured Skill Modules
  • Includes 58 Practical Lessons
  • Manually Reviewable Hands-on Projects

Python Interpreter & Compilation Internals

Understanding dynamic parsing, bytecode compilation, and how the interpreter executes files.

25 min

Setup Python, Anaconda & VS Code

Installing Python interpreter environment, managing virtual environments, and setting up VS Code/PyCharm editors.

30 min

First Script & Print Function breakdown

Writing execution scripts, using print parameters, and handling standard string literals.

20 min

🔨 Project: System Checker Console Diagnostic tool

Build a Python console script checking local system metrics using basic modules.

45 min

Dynamic Typing & Reference Identifiers

Understanding memory reference naming, variable type reassignments, and the id() memory checks.

30 min

Python Primitive Types & Value Mutability

Dissecting float, int, complex, string, and understanding mutable vs immutable properties.

25 min

Arithmetic & Logical Expressions

Evaluating conditional comparisons, short-circuiting logic, and mathematical operations.

30 min

Data Conversions & Floating representation

Implicit vs explicit type conversion, formatting round methods, and tracking floating point limits.

25 min

🔨 Project: Dynamic Input Bill Splitter

Create an interactive CLI program calculating split checks, tip percentages, and formatted currency prints.

60 min

If, Elif, and Else Statements

Structuring branching logic checks, truthy/falsy objects evaluation, and nesting rules.

30 min

Ternary Conditional Expressions

Writing compact conditional evaluations and utilizing them for inline assignments.

25 min

Identity checks (is vs ==)

Comparing object values using equality versus checking underlying memory reference identity.

30 min

🔨 Project: Dynamic Order Eligibility checker

Enforce multi-tiered check rules assessing discounts and shipping rates.

90 min

For Loops & Iterator Ranges

Traversing sequences using range generators, enumerators, and custom step settings.

30 min

While Loops & Sentinel Checks

Looping indefinitely until exit inputs or flag resets are parsed.

25 min

Control statements: Break, Continue & Pass

Exiting loops early, skipping iteration steps, and utilizing placeholders.

30 min

🔨 Project: User Register Validation Loop

Create an active menu loop checking passwords, emails, and credentials inputs.

60 min

List declarations & Index slicing

Accessing items using positive/negative bounds, slice steps, and deep copy parameters.

30 min

List modifications & Memory behaviors

Append, pop, insert methods execution and tracking array-doubling dynamics.

25 min

Tuples: Immutable Sequence containers

Declaring tuples, tuple packing/unpacking features, and use-case comparisons with lists.

35 min

🔨 Project: Inventory Catalog Tracking Database

Build inventory item registers using lists and tuples to filter records.

90 min

Defining Functions & Parameter signatures

Creating def blocks, tracking args/kwargs, and defining default parameter initializers.

30 min

Python LEGB Scope boundaries

Dissecting Local, Enclosing, Global, and Built-in scopes, and utilizing global/nonlocal terms.

30 min

Lambda Functions & Functional helpers

Writing anonymous functions and mapping/filtering list items.

25 min

🔨 Project: Math helper calculator suite

Define functional tools calculating averages, products, and geometric values.

60 min

Class Blueprints & Instance mappings

Declaring class definitions and instantiating objects.

35 min

Initializer Constructor (__init__) & Self

Declaring object constructors, binding values to instance descriptors, and self reference utility.

30 min

Encapsulation: Public, Protected & Private states

Enforcing variable controls using single/double underscores and property getters/setters.

30 min

🔨 Project: Student Profile Registrar Database

Create encapsulated data classes representing student records with grades and course lists.

90 min

Single & Multiple Inheritance structures

Deriving child classes, resolving Method Resolution Order (MRO), and multiple inheritance.

30 min

Method Overriding & Super helper call

Accessing parent method definitions and modifying dynamic actions dynamically.

35 min

Polymorphism & Duck Typing interfaces

Writing polymorphic interfaces based on matching behaviors rather than hard inheritance.

30 min

🔨 Project: Corporate Employee Payroll Engine

Override pay calculator methods across contractor, developer, and executive profiles.

90 min

Dunder methods string outputs (__str__, __repr__)

Overriding string representations to output readable info for developers vs users.

30 min

Custom sequence helpers (__len__, __getitem__)

Enabling standard indexing and length operations on custom class instances.

35 min

Operator Overloading protocols

Mapping mathematical symbols (+, -, *) to custom object properties.

25 min

🔨 Project: Vector Mathematics coordinates engine

Write coordinate vector objects supporting element-wise additions and products.

90 min

String Sequence behavior & Immutability

Working with character indexing, immutability limits, and string caching.

30 min

Split, Join, and F-String formatting

F-string formatting variables, splitting texts, and joining array lists.

35 min

String Search & Regular Match utilities

Using find, count, and re regex models to scan text targets.

25 min

🔨 Project: Log file analyzer parser

Write a script parsing error logs, counting code triggers, and outputting summaries.

60 min

Time Complexity & Big-O Notation

Calculating step scales relative to input growth and loop tracking.

35 min

Python operations complexities

Analyzing runtime of list inserts/pops, dict checks, and sequence copies.

30 min

🔨 Project: Execution Profiler benchmark

Measure actual runtime of loops vs generator comprehensions.

60 min

Linear Search and Binary Search theory

Comparing sequential searches to log N bisections.

30 min

Binary Search implementation details

Writing recursive and iterative binary search and preventing index pointer index loops.

35 min

🔨 Project: Dynamic inventory lookup finder

Deploy binary search to lookup target stock codes on sorted inventory database list records.

60 min

Bubble Sort & Selection Sort algorithms

Implementing bubble and selection passes, swapping list indices.

35 min

Insertion Sort mechanics

Iteratively positioning key values in sorted subsets.

30 min

🔨 Project: Sort items comparator suite

Sort transactions arrays by values using sorting algorithm passes.

90 min

Dictionaries: Hash table structures

Under the hood hash slots mapping, collisions handling, and constant-time search.

35 min

Sets: Unique elements collections

Determining set intersection, union, difference bounds, and O(1) membership checks.

30 min

Custom hashing validation keys

Understanding hashable vs unhashable items and custom __hash__ definitions.

30 min

🔨 Project: Shopping Cart transaction tracker

Track customer order baskets and deduplicate visitor records utilizing dictionaries and sets.

90 min

HashMap Hashing and Collisions Mapping

Hashing keys, map slots, handling bucket conflicts, and constant-time search.

40 min

Binary Search Tree properties

Nodes instantiation, reference linking, and BST properties.

35 min

DFS & BFS Traversal algorithms

Writing traversals (Inorder, Preorder, Postorder) and level order BFS traversals.

35 min

🔨 Project: Family tree hierarchy locator database

Build tree records, trace paths recursively, and locate ancestors.

90 min
PATH LEADERS

Meet your mentors

Learn from engineers and designers actively building production-grade platforms.

Balapriyan B
EXPERTISED MENTOR

Balapriyan B

Founder & Lead Developer

Lead developer at Aruvili specializing in systems programming and full-stack software delivery.

No-Code AutomationProduct SystemsWorkflow Operations
Book 1-on-1 Consultation
FAQ INDEX

Course FAQs

Got questions about this path? We have compiled responses below.

Aruvili Assistant • Support
Yes. Python has clear, readable syntax that reduces boilerplate overhead, making it highly suited for beginners learning algorithmic logic.
Yes. Modules 11 to 15 focus specifically on time complexity, searching, sorting, hashing, and tree algorithms widely asked in coding interviews.
No. Module 01 guides you step-by-step through installing Python, Anaconda environment manager, and setting up VS Code/PyCharm.
Yes, concepts are explained in Tamil with technical English terms to keep alignment with modern software engineering standards.
START TODAY

Ready to master Core Python Programming with DSA?

Schedule a free chat with our mentors on WhatsApp. Review prerequisites, custom paths, and book your slot.

Chat with us