Recursion - Recursive Call Stacks & Algorithms - DSA Course in Python Lecture 6

Video Description

Timeline -- 0:00 Introduction to Recursion 4:07 Recursive Call Stack 9:55 Recursion Order of Execution 11:16 Time & Space Complexity 13:52 Linked List Example 14:49 Code Code solutions in Python, Java, C++ and JS can be found at my GitHub repository here: https://github.com/gahogg/Data-Structures-and-Algorithms-Theory-Course-Material The Python Colab notebook can be found at this link: https://colab.research.google.com/drive/1qdUMlMleXTlObv-r-jdJj6tR2Vmes5AF?usp=sharing Master Data Structures & Algorithms for FREE at https://AlgoMap.io/ Complete DSA Pathway Zero to Hero: https://www.youtube.com/playlist?list=PLKYEe2WisBTFEr6laH5bR2J19j7sl5O8R Please check my playlists for free DSA problem solutions: https://www.youtube.com/playlist?list=PLKYEe2WisBTGq9T0wPulXz1otUsVeOGey https://www.youtube.com/playlist?list=PLKYEe2WisBTFlP0RlwfwPrdkvHrcTBUg- https://www.youtube.com/playlist?list=PLKYEe2WisBTEK8_GVXySX9aDWBHk5fGwQ https://www.youtube.com/playlist?list=PLKYEe2WisBTFZH-p9jgAOwtHy9_LGI28W https://www.youtube.com/playlist?list=PLKYEe2WisBTH7I9sCPjSZCs-iBAH4ybmS https://youtube.com/playlist?list=PLKYEe2WisBTH601scI_A008gm34oARlIp&si=DnCpq_RiFkObYn7p https://www.youtube.com/playlist?list=PLKYEe2WisBTF21RGRtZfGGolpHmca_d3N https://www.youtube.com/playlist?list=PLKYEe2WisBTH48RzVCL_LQrGW-ahPY44S https://www.youtube.com/playlist?list=PLKYEe2WisBTHcWHAGWvKJuVMu5ElMA18M https://www.youtube.com/playlist?list=PLKYEe2WisBTEY7eJBW7W-jbxlXCGb928P https://www.youtube.com/playlist?list=PLKYEe2WisBTHCmJ6IfEMjg8o--Bvfc5gt https://www.youtube.com/playlist?list=PLKYEe2WisBTFw-XWc-kwS3dkQeeSmvpg5 My Data Science & ML YouTube Playlist: https://youtube.com/playlist?list=PLKYEe2WisBTECZ8mZCfFxzrBBuGrS1Gfu&si=hspEoaBIyVLV_TyC Learn Python and Data Science FASTER at https://mlnow.ai :) Support the content: https://www.youtube.com/channel/UCJublDh2UsiIKsAE1553miw/join Follow me on Instagram: https://www.instagram.com/greghogg5/ Connect with me on LinkedIn: https://www.linkedin.com/in/greghogg/ Follow me on TikTok: https://www.tiktok.com/@greghogg5 Coursera Plus: https://imp.i384100.net/P0E3J6 My Favorite Courses: Data Structures & Algorithms: - UCalifornia San Diego DSA: https://imp.i384100.net/LP31oV - Stanford Algorithms: https://imp.i384100.net/vNBoxd - Python Data Structures: https://imp.i384100.net/NkZn47 - Meta Coding Interview Prep: https://imp.i384100.net/Y96rBJ Python: - UMichigan Python for Everybody: https://imp.i384100.net/QOLM73 - Python Mastery from MLNOW.ai: https://mlnow.ai/course-material/python/ - Google IT Automation w/ Python: https://imp.i384100.net/5g6Xyj Web Dev / Full Stack: - Meta Front-End Developer: https://imp.i384100.net/q4Jemy - IBM Full Stack Developer: https://imp.i384100.net/Gj9dMn - Meta Back-End Developer: https://imp.i384100.net/xkW0r5 - John Hopkins HTML, CSS & JS: https://imp.i384100.net/QyoRAA - IBM DevOps: https://imp.i384100.net/kjd2r0 Cloud Development: - AWS Fundamentals: https://imp.i384100.net/anqBjZ - GCP Cloud Engineer: https://imp.i384100.net/g1jvqB - Microsoft Azure Fundamentals: https://imp.i384100.net/EKm5O4 Game Development: - Michigan State Unity Development: https://imp.i384100.net/6eOBnr - UColorado C++ for Unreal Engine: https://www.coursera.org/specializations/cplusplusunrealgamedevelopment SQL & Data Science: - SQL by MLNOW.ai: https://mlnow.ai/course-material/sql/ - Python for Data Science by MLNOW.ai: https://mlnow.ai/course-material/datascience/ - Google Data Analytics: https://imp.i384100.net/1rkWAR - IBM Data Science: https://imp.i384100.net/P0ZRL6 - IBM Data Engineer: https://imp.i384100.net/4PbZyZ Machine Learning & AI: - ML Mastery at MLNOW.ai: https://mlnow.ai/course-material/ml/ - ML w/ Andrew Ng: https://www.coursera.org/specializations/machine-learning-introduction - Deep Learning w/ Andrew Ng: https://imp.i384100.net/a1kjJj