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Udemy - Python Coding Interview Prep 2026 - 70 + Real Problems

Category : Other
Type: Tutorials
Language: English
Total Size: 1.1 GB
Uploaded By: freecoursewb
Downloads: 36526
Last checked: Oct. 2nd '26
Date uploaded: Oct. 2nd '26
Seeders: 13055
Leechers: 8606
INFO HASH: 6035495E1EF03347345839115E2E465A4CF12351

About Udemy - Python Coding Interview Prep 2026 - 70 + Real Problems

Overview

Python Coding Interview Prep 2026: 70+ Real Problems https://WebToolTip.com Published 9/2026 Created by Robert Westbrook MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 78 Lectures ( 3h 35m ) | Size: 1.2 GB Master 70+ Python coding interview problems using proven patterns for arrays, trees, graphs and dynamic programming. What you'll learn ⚡ Solve 70+ Python coding interview problems using practical patterns that tran

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Python Coding Interview Prep 2026: 70+ Real Problems

https://WebToolTip.com

Published 9/2026
Created by Robert Westbrook
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 78 Lectures ( 3h 35m ) | Size: 1.2 GB

Master 70+ Python coding interview problems using proven patterns for arrays, trees, graphs and dynamic programming.

What you'll learn
⚡ Solve 70+ Python coding interview problems using practical patterns that transfer to new problems.
⚡ Master arrays, strings, hash maps, sets, two pointers and sliding window techniques.
⚡ Solve stack, queue, heap, binary search, sorting and interval problems with efficient approaches.
⚡ Build and manipulate linked lists, binary trees and binary search trees with confidence.
⚡ Solve graph problems using traversal, shortest path and other practical graph algorithms.
⚡ Apply backtracking and dynamic programming to solve challenging interview problems.
⚡ Recognize common coding interview patterns and choose the right strategy for unfamiliar problems.
⚡ Analyze solutions for correctness and time and space complexity.

Requirements
❗ Basic Python programming knowledge is recommended, including variables, functions, lists and dictionaries.
❗ A Python environment and code editor are recommended for practicing the solutions.
❗ Basic familiarity with common data structures is helpful but not required.
❗ No previous coding interview experience is required.