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✨ LeetCode Series Study Group ✨
Description
Are you looking for a place to practice your code interview with a group of Python enthusiasts?
Join us for our LeetCode series study group to learn solving algorithm patterns problems every other Thursday at 8PM Eastern US Time!
We will talk through intermediate/medium level problems on LeetCode by recognizing patterns and figuring out a strategy to solve them.
The series will cover the following topics:
Session 1: Sep 23 - Two Pointers
Session 2: Oct 7 - Sliding Window
Session 3: Oct 21 - Binary Search
Session 4: Nov 4 - Greedy
Session 5: Nov 18 - Hash Tables (at CONNECT Forward)
Session 6: Dec 9 - DFS (& BFS)
Session 7: Jan 20 - Backtracking
Session 8: Feb 3 - Bonus patterns #1 - Linked list dummy node, fast and slow pointers
Session 9: Feb 17 - Helpful resources for patterns discussed and next steps
Recommended Prerequisites for the Study Group:
Some familiarity with data structures would be great as the series will focus more on problem solving patterns using various data structures rather than introducing the data structures.
Speakers:
Chethana Gopinath & Karen Wong
Questions/Suggestions: python@womenwhocode.com
Moderated/Hosted by Chethana Gopinath & Karen Wong
Become a member: https://www.womenwhocode.com/python
Join the conversation on Twitter/Instagram/Facebook: @WWCodePython
About Women Who Code:
WWCode is the largest and most active community of technical women in the world. Our mission is to inspire women to excel in technology careers. We have 290,000 members in 134 countries & counting. Join our community by visiting womenwhocode.com and sign up to become a member.
Hosted by the WWCode Python technical track community.
For our - slack channel, - previous event recordings, - upcoming events, - Github repo and more, check us out on https://beacons.ai/wwcodepython
Webinar is over, you cannot register now. If you have any questions, please contact Webinar host:
WWCode Python
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Hi there, You are invited to a Zoom webinar. Topic: ✨ LeetCode Series Study Group ✨ Register in advance for this webinar: https://us02web.zoom.us/webinar/register/WN_0sE6MjRSSS-iUu5HcUMAZA After registering, you will receive a confirmation email containing information about joining the webinar.
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