100 Days Complete Python
3 Learning Levels • 1 Complete Python Series (37 Live Lectures)
Program Overview
100 Days Complete Python is a comprehensive, mentor-led live group series engineered to take learners from day-one fundamentals to fluent, professional-grade Core Python code. Positioned as '3 Learning Levels • 1 Complete Python Series' spanning 37 structured lectures, the curriculum guides students step-by-step through computational thinking, algorithmic problem solving, deep data structures, modular file systems, full object-oriented programming, and advanced language internals. Every lecture combines conceptual clarity with live coding, rigorous exercises, and structured milestone projects.
Program Highlights
- 3 Learning Levels • 1 Complete Python Series (single unified program)
- 37 structured live lectures with live instructor coding & screen sharing
- 6 progressive phases covering syntax, OOP, files, and language internals
- Regular algorithmic challenges, homework reviews, and milestone projects
- Dedicated live Q&A in every class to resolve student doubts
- Free Demo trial session available before paid commitment
Syllabus & Roadmap
Structured progressive phases designed for deep mastery.
Phase 1: Programming & Python Foundations
- Python interpreter architecture & runtime execution model
- Variables, memory references, dynamic typing & standard types
- Expressions, operators & operator precedence
- Conditional branching & complex decision structures
- Iteration patterns: while and for loops with control statements
Phase 2: Functions & Problem Solving
- Function signatures, positional vs keyword arguments, and defaults
- Arbitrary arguments (*args, **kwargs) and tuple unpacking
- Scope resolution: LEGB rule (Local, Enclosing, Global, Built-in)
- First-class functions, lambdas, and functional utilities (map, filter)
- Algorithmic problem-solving patterns & recursion fundamentals
Phase 3: Complete Python Data Structures
- Lists: internal arrays, time complexity, slicing & sorting algorithms
- Tuples: immutability, hashing & tuple packing/unpacking
- Sets: hashing, uniqueness & mathematical set operations
- Dictionaries: hash tables, lookup efficiency, nested data & merging
- List, set, and dictionary comprehensions with conditional filtering
Phase 4: Modules, Files & Reliable Programs
- File system operations: reading, writing, seeking & buffering
- Structured data persistence: JSON, CSV, and text streams
- Context managers & the with statement pattern
- Exception handling hierarchy: try, except, else, finally, custom errors
- Modular architecture: creating packages, namespaces & __init__.py
Phase 5: Complete Object-Oriented Python
- Classes, instances, self reference & constructor initialization
- Encapsulation: public, protected, and private attribute conventions
- Inheritance models: single, multilevel, and multiple inheritance (MRO)
- Polymorphism, method overriding & duck typing principles
- Class methods (@classmethod), static methods (@staticmethod) & properties
- Dunder (magic) methods: __str__, __repr__, __len__, __eq__, operator overloading
Phase 6: Advanced Python Language
- Iterators protocol (__iter__, __next__) & custom iterables
- Generators, yield expressions & memory-efficient stream processing
- Function & method decorators with parameter wrapping
- Regular expressions (re module) for pattern validation
- Type annotations, type hinting (mypy fundamentals) & documentation
- Capstone Project: Multi-module Object-Oriented Python System
Who this is for
- Beginners wanting a structured, disciplined pathway to master Core Python
- University students preparing for data structures, algorithms, or lab projects
- Professionals and hobbyists seeking deep language comprehension without gaps
Prerequisites
- Basic computer literacy (navigating files, installing software)
- Commitment to write code and complete assignments consistently
- No prior programming background required — taught from fundamental principles
Free Demo Trial Session Available
We offer a complimentary trial demo class so students and parents can experience our live interactive teaching environment, mentor style, and curriculum firsthand before enrolling. The full program is a structured paid monthly course.
Current Group Cohort Fee
Structured 100-day series paid monthly (37 live lectures across 6 phases)
Enrol in 100 Days Complete Python
- Duration: 100 days
- Frequency: 3–4 classes/week
- Session: 1–1.5 hours per session
- Format: Live Online Structured Series
Next Schedule: Contact admissions for next confirmed batch schedule
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Ready to start your learning journey?
Apply today and our admissions team will review your application and guide you through the next steps.