Code Like A Google Engineer: Python Fundamentals & Interview

From Python syntax to advanced coding challenges — build skills for FAANG interviews.

What you'll learn

Understand Python syntax, variables, and data types with hands-on examples.

Master string operations, escape sequences, and formatted strings.

Use conditional statements, logical operators, and comparisons confidently.

Write loops, nested loops, and iterate over data effectively.

Define functions with keyword, default, *args, and **kwargs parameters.

Work with core data structures: lists, tuples, sets, and dictionaries.

Solve real problems like reversing strings and finding prime numbers.

Apply lambda, map, zip, filter, and comprehensions for cleaner code.

Handle exceptions and write basic object-oriented Python code.

Prepare for coding interviews with LeetCode-style challenges and tips.

Requirements

No prior programming experience needed — this course starts from absolute scratch.

A computer (Windows, Mac, or Linux) with internet access.

A web browser and willingness to install Python (step-by-step guide provided).

Basic English reading skills (for understanding code and instructions).

Curiosity to learn, build, and solve real problems with code!

Description

Unlock the power of Python and elevate your coding skills with “Code Like a Googler: Python from Scratch to Interviews.” This comprehensive course is designed to take you from absolute beginner to confident programmer capable of tackling real-world challenges and cracking competitive coding interviews at top tech companies worldwide.Starting with the basics, you will learn essential Python concepts such as variable naming conventions, strings and their methods, data types including integers, floats, and complex numbers, and how to perform data type conversions. You’ll master control flow with conditional statements, logical operators, and loops to write clear, efficient programs. The course also covers functions in depth — from defining your own to understanding arguments, default values, and advanced features like *args and **kwargs.Beyond fundamentals, this course dives into critical data structures — lists, tuples, sets, and dictionaries — teaching you how to access, manipulate, and sort data effectively. You’ll explore advanced Python tools like lambda functions, comprehensions, generators, and exception handling to write elegant, pythonic code.To prepare you for interviews, the course includes carefully selected coding exercises and challenges that reflect questions asked by companies such as Google, Dropbox, and Airbnb. With quizzes, hands-on coding assignments, and detailed explanations, you will gain problem-solving skills essential for technical interviews.Whether you’re aiming for your first job in tech or looking to strengthen your Python expertise, this course equips you with practical knowledge and confidence. Join now and start coding like a Googler today!

Overview

Section 1: Python for Data Science: Learn and crack the interviews

Lecture 1 About this course

Lecture 2 Basics part 1

Lecture 3 Basics part 2

Lecture 4 Basics part 3

Lecture 5 Basics part 4

Lecture 6 Basics part 5

Lecture 7 Basics part 6

Section 2: FAANG Interview questions and explanation

Lecture 8 Count the number of Vowels in a given string using Python

Lecture 9 Write a function to reverse a string using Python

Lecture 10 Find the FACTORIAL of a given number using Recursion

Lecture 11 Check if a given number is a prime?

Lecture 12 Find the most frequent element in a list

Lecture 13 Remove all duplicates from a list while maintaining the order

Lecture 14 Find the second largest number in a list

Lecture 15 Convert an integer to Binary Format using Python

Lecture 16 Find the sum of digits of a given number

Lecture 17 Merge 2 sorted lists into one sorted list

Lecture 18 Find the longest word in a given Sentence using Python

Section 3: Real Interview Challenges in Python: Practice on your own pace

Job seekers preparing for interviews at tech companies, including Google, Amazon, Meta, and startups.,Professionals switching careers into tech, data science, automation, or software development.,Aspiring programmers who want a solid foundation in Python to build apps, scripts, or automation tools.,Complete beginners who want to learn Python from scratch with real-world examples.,Students and recent graduates preparing for coding interviews or internships.,Self-learners looking for a structured, beginner-friendly path with practical exercises and challenges.,Anyone who wants to learn Python the smart, clean, and efficient way — like engineers at Google.