Python Fast-Track: Learn Code, Crack Interviews

A concise Python bootcamp covering core concepts, real coding problems & interview readiness, perfect for beginners.

What you'll learn

Understand Python fundamentals in a fast-paced, beginner-friendly format

Write clean Python code using variables, loops, conditionals, and functions

Master data structures like lists, sets, dictionaries, and tuples

Work with file input/output, read/write files, and handle exceptions

Apply Object-Oriented Programming principles in Python (classes, objects, inheritance)

Learn the basics of concurrency and parallelism (threading, multiprocessing)

Solve real-world coding problems commonly asked in interviews

Gain confidence to attempt online assessments and technical interviews

Requirements

No prior programming experience needed

A computer (Windows, macOS, or Linux) with internet access

Willingness to learn and solve coding problems

Basic school-level math (e.g., loops, logic, problem-solving)

Description

Python Fast-Track: Learn Code, Crack InterviewsA concise Python bootcamp covering core concepts, real coding problems & interview readiness, perfect for beginners.Are you short on time but determined to master Python and land that tech job?This course is designed for you.Python Fast-Track is a compact, high-impact course that teaches you the most essential Python concepts, gives you hands-on practice with real-world coding problems, and prepares you for technical interviews in just a few hours.You’ll start with the core programming fundamentals and move quickly into data structures, loops, functions, file handling, and object-oriented programming. We also introduce concurrency and parallelism, the kind of topics that help you stand out in interviews.No fluff. No long-winded theory. Just practical Python, explained clearly and applied immediately.By the end of this course, you will:Write clean, efficient Python code using modern best practicesUnderstand key programming concepts like variables, loops, and conditionalsWork with data structures like lists, dictionaries, sets, and tuplesBuild and use Python functions and classes with confidenceRead from and write to files using Python’s built-in toolsUnderstand basic object-oriented programming (OOP) conceptsLearn introductory concurrency with threads and multiprocessingSolve common interview-level coding problems in PythonBe confident in facing coding rounds and online assessmentsWho this course is for:Beginners and non-programmers who want to learn Python fastStudents or recent grads preparing for coding interviewsProfessionals switching careers or learning Python for job readinessBootcamp learners need a concise and effective Python refresherAnyone who wants to go from zero to interview-ready in Python, without wasting timeWhat you’ll need:No prior programming experience is requiredJust a computer (Windows/Mac/Linux) and the motivation to learnWe’ll guide you step-by-step from setup to solving interview-style problemsThis course is ideal if you want to move quickly, learn effectively, and ace coding interviews with confidence.

Overview

Section 1: Top Interview Questions (Part 1)

Lecture 1 Introduction

Lecture 2 Course Resources on GitHub

Lecture 3 List Vs Tuple

Lecture 4 What is a Decorator ?

Lecture 5 List Vs Dict Comprehension

Lecture 6 Memory Management in Python

Lecture 7 Generators Vs Iterators

Lecture 8 Init Keyword

Lecture 9 Modules Vs Package

Lecture 10 Range Vs XRange

Lecture 11 What are Generators ?

Lecture 12 Built-in Data Types in Python

Lecture 13 Ternary Operator

Lecture 14 Inheritance in Python

Lecture 15 Local Variable Vs Global Variable

Lecture 16 Break Vs Continue Vs Pass

Lecture 17 Self Keyword

Lecture 18 Pickling Vs Unpickling ?

Lecture 19 Type Conversion in Python

Lecture 20 *args and **kwargs

Lecture 21 open and with statement

Lecture 22 Different ways to read and write in a file in Python ?

Lecture 23 What is Pythonpath ?

Lecture 24 How Exception Handled in Python

Lecture 25 Python 2 vs Python 3

Lecture 26 What is PIP ?

Lecture 27 How to use F String and Format or Replacement Operator ?

Lecture 28 Difference between Abstraction and Encapsulation ?

Lecture 29 Does Python Support Multiple Inheritance (Diamond Problem) ?

Lecture 30 Difference Between .py and .pyc ?

Lecture 31 Can you Concatenate Two Tuples ? If Yes, How is it Possible ?

Lecture 32 What is _a, __a, __a__ in Python ?

Section 2: Top Interview Questions (Part 2)

Lecture 33 Difference between Anonymous and Lambda Function ?

Lecture 34 What is GIL ?

Lecture 35 Explain Namespace and Its Types ?

Lecture 36 What are Unittests in Python ?

Lecture 37 How to use Map, Filter and Reduce Function in Python ?

Lecture 38 Difference between Shallow Copy and Deep Copy ?

Lecture 39 What does MONKEY PATCHING refer to in python ?

Lecture 40 What is Dunder Method ?

Lecture 41 What is Operator Overloading ?

Lecture 42 Why Python is called Dynamic Typed Language or what is Duck Typing ?

Lecture 43 Why Python is called an Interpreted Language ?

Lecture 44 Is Python a Fully Object Oriented Language ?

Lecture 45 Difference between Static & Class Method ?

Lecture 46 Multi-Processing Vs Multi-Threading

Section 3: Object-Oriented Programming (Optional)

Lecture 47 Introduction to OOPs

Lecture 48 Classes & Objects

Lecture 49 Interfaces

Lecture 50 Inheritance

Lecture 51 Polymorphism

Lecture 52 Abstraction

Lecture 53 Encapsulation

Lecture 54 Aggregation

Lecture 55 Composition

Lecture 56 Association

Section 4: Mock Interview

Section 5: Conclusion

Lecture 57 Thank You

Beginners and non-programmers who want to learn Python fundamentals quickly,Students or recent graduates preparing for coding interviews and assessments,Software developers in other languages who want a fast Python crash course,Working professionals and career switchers looking to become interview-ready in Python,Bootcamp learners needing a concise, practical Python + DSA refresher,Anyone looking to master Python basics, OOP, file handling, and concurrency in a short time,Anyone who wants to solve coding problems confidently in interviews using Python