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Daryl Taylor에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daryl Taylor 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Binary Search Algorithms and Query Practice

9:33
 
공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on February 10, 2025 12:10 (4M ago). Last successful fetch was on October 14, 2024 06:04 (8M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 444544471 series 3603581
Daryl Taylor에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daryl Taylor 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, Eugene Uwiragiye dives deep into the intricacies of binary search algorithms. The episode opens with a review of a recent assignment, where Eugene emphasizes the importance of structuring database queries efficiently. Then, the discussion shifts to the linear search algorithm and its time complexity before focusing on binary search. Key concepts, such as how binary search requires sorted data, how it works by continually splitting the list in half, and the importance of understanding the conditions for convergence, are explained in detail. Listeners get to follow along with examples in Python and understand how to implement and optimize search algorithms.

Key Topics Covered:

  1. Assignment Review:
    • Importance of correct column names in queries.
    • How to approach SQL queries and assignments effectively.
  2. Linear vs. Binary Search:
    • Time complexity of linear search: O(n).
    • Binary search explained: working with sorted data, reducing search space by halves.
  3. Binary Search in Python:
    • Code example walk-through for implementing binary search.
    • Recursive function structure and its use in binary search.
    • Handling edge cases in binary search (what happens when the element isn’t found).
  4. Practical Tips for Queries:
    • How to test your SQL queries in tools like DBeaver and Visual Studio.
    • The importance of creating a small database to test queries.

Memorable Quotes:

  • "I want to train you... If someone doesn’t know, give them a table and they’ll figure it out!"
  • "The beauty of binary search is in its efficiency – shrinking the search space every step of the way."

Resources Mentioned:

  • Python for Data Structures: [Online Tutorials]
  • SQL Query Practice Tools: DBeaver, Visual Studio

Call to Action: Got stuck on your binary search code? Share your code snippets on our community forum and get help from fellow listeners!

CSE704L13

  continue reading

20 에피소드

Artwork
icon공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on February 10, 2025 12:10 (4M ago). Last successful fetch was on October 14, 2024 06:04 (8M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 444544471 series 3603581
Daryl Taylor에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daryl Taylor 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, Eugene Uwiragiye dives deep into the intricacies of binary search algorithms. The episode opens with a review of a recent assignment, where Eugene emphasizes the importance of structuring database queries efficiently. Then, the discussion shifts to the linear search algorithm and its time complexity before focusing on binary search. Key concepts, such as how binary search requires sorted data, how it works by continually splitting the list in half, and the importance of understanding the conditions for convergence, are explained in detail. Listeners get to follow along with examples in Python and understand how to implement and optimize search algorithms.

Key Topics Covered:

  1. Assignment Review:
    • Importance of correct column names in queries.
    • How to approach SQL queries and assignments effectively.
  2. Linear vs. Binary Search:
    • Time complexity of linear search: O(n).
    • Binary search explained: working with sorted data, reducing search space by halves.
  3. Binary Search in Python:
    • Code example walk-through for implementing binary search.
    • Recursive function structure and its use in binary search.
    • Handling edge cases in binary search (what happens when the element isn’t found).
  4. Practical Tips for Queries:
    • How to test your SQL queries in tools like DBeaver and Visual Studio.
    • The importance of creating a small database to test queries.

Memorable Quotes:

  • "I want to train you... If someone doesn’t know, give them a table and they’ll figure it out!"
  • "The beauty of binary search is in its efficiency – shrinking the search space every step of the way."

Resources Mentioned:

  • Python for Data Structures: [Online Tutorials]
  • SQL Query Practice Tools: DBeaver, Visual Studio

Call to Action: Got stuck on your binary search code? Share your code snippets on our community forum and get help from fellow listeners!

CSE704L13

  continue reading

20 에피소드

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