fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

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Quick Overview

The "fucking-algorithm" repository on GitHub, created by labuladong, is a comprehensive collection of algorithms and data structures, accompanied by detailed explanations and solutions to common coding problems. The repository serves as a valuable resource for developers, students, and anyone interested in improving their problem-solving skills and expanding their algorithmic knowledge.

Pros

Comprehensive Coverage: The repository covers a wide range of algorithmic topics, including dynamic programming, greedy algorithms, graph theory, and more, making it a one-stop-shop for algorithm learning.
Detailed Explanations: The author, labuladong, provides in-depth explanations and step-by-step solutions for each problem, making it easier for users to understand the underlying concepts and approaches.
Practical Applications: The problems and solutions presented in the repository are often drawn from real-world scenarios, making the content more relevant and applicable to everyday programming tasks.
Active Community: The repository has a large and active community of contributors and users, who provide feedback, suggestions, and additional solutions, further enhancing the project's value.

Cons

Language Specific: The repository is primarily focused on algorithms and solutions in the Python and Java programming languages, which may limit its usefulness for developers working in other languages.
Lack of Structured Curriculum: While the repository covers a wide range of topics, it may lack a structured curriculum or learning path, which could make it challenging for beginners to navigate and progress through the content.
Potential Outdated Content: As with any open-source project, there is a possibility that some of the content in the repository may become outdated over time, requiring regular updates and maintenance.
Overwhelming for Beginners: The sheer volume of content and the complexity of some of the algorithms presented in the repository may be overwhelming for beginners, who may benefit from a more gradual and structured approach to learning.

Code Examples

Here are a few short code examples from the "fucking-algorithm" repository:

Reversing a Linked List:

def reverseList(head: ListNode) -> ListNode:
    prev, curr = None, head
    while curr:
        next_node = curr.next
        curr.next = prev
        prev = curr
        curr = next_node
    return prev

This code demonstrates the implementation of the "Reverse Linked List" problem, where the goal is to reverse the order of the nodes in a singly-linked list.

Climbing Stairs:

public int climbStairs(int n) {
    if (n <= 2) {
        return n;
    }
    int[] dp = new int[n + 1];
    dp[1] = 1;
    dp[2] = 2;
    for (int i = 3; i <= n; i++) {
        dp[i] = dp[i - 1] + dp[i - 2];
    }
    return dp[n];
}

This code demonstrates the implementation of the "Climbing Stairs" problem, where the goal is to find the number of unique ways to climb to the top of a staircase with n steps, given that you can either take 1 step or 2 steps at a time.

Merge Two Sorted Lists:

def mergeTwoLists(l1: ListNode, l2: ListNode) -> ListNode:
    dummy = ListNode()
    curr = dummy
    while l1 and l2:
        if l1.val < l2.val:
            curr.next = l1
            l1 = l1.next
        else:
            curr.next = l2
            l2 = l2.next
        curr = curr.next
    if l1:
        curr.next = l1
    if l2:
        curr.next = l2
    return dummy.next

This code demonstrates the implementation of the "Merge Two Sorted Lists" problem, where the goal is to merge two sorted linked lists into a single sorted linked list.

Getting Started

To get started with the "fucking-algorithm" repository, follow these steps:

Clone the repository to your local machine:

git clone https://github.com/labuladong/fucking-algorithm.git

Navigate

Competitor Comparisons

hello-algo

96,941

Pros of hello-algo

Offers implementations in multiple programming languages (C, C++, Java, Python, etc.)
Provides interactive visualizations for algorithms and data structures
Includes a comprehensive e-book with detailed explanations

Cons of hello-algo

Less extensive coverage of advanced algorithms compared to fucking-algorithm
Newer project with potentially fewer community contributions and discussions
May lack some of the in-depth problem-solving strategies found in fucking-algorithm

Code Comparison

hello-algo (Python):

def binary_search(nums: List[int], target: int) -> int:
    left, right = 0, len(nums) - 1
    while left <= right:
        mid = (left + right) // 2
        if nums[mid] < target:
            left = mid + 1
        elif nums[mid] > target:
            right = mid - 1
        else:
            return mid
    return -1

fucking-algorithm (Java):

int binarySearch(int[] nums, int target) {
    int left = 0, right = nums.length - 1;
    while(left <= right) {
        int mid = left + (right - left) / 2;
        if (nums[mid] == target)
            return mid;
        else if (nums[mid] < target)
            left = mid + 1;
        else if (nums[mid] > target)
            right = mid - 1;
    }
    return -1;
}

Both repositories provide excellent resources for learning algorithms and data structures. hello-algo offers a more visual and interactive approach with multi-language support, while fucking-algorithm provides a deeper dive into problem-solving techniques and advanced algorithms.

leetcode-master

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Pros of leetcode-master

More comprehensive coverage of LeetCode problems, with over 300 solutions
Includes detailed explanations and diagrams for complex algorithms
Regularly updated with new problems and solutions

Cons of leetcode-master

Primarily focused on C++ solutions, which may not be ideal for all users
Less emphasis on general problem-solving strategies compared to fucking-algorithm

Code Comparison

leetcode-master (C++):

class Solution {
public:
    vector<int> twoSum(vector<int>& nums, int target) {
        unordered_map<int, int> map;
        for (int i = 0; i < nums.size(); i++) {
            auto it = map.find(target - nums[i]);
            if (it != map.end()) {
                return {it->second, i};
            }
            map[nums[i]] = i;
        }
        return {};
    }
};

fucking-algorithm (Java):

class Solution {
    public int[] twoSum(int[] nums, int target) {
        Map<Integer, Integer> map = new HashMap<>();
        for (int i = 0; i < nums.length; i++) {
            int complement = target - nums[i];
            if (map.containsKey(complement)) {
                return new int[] { map.get(complement), i };
            }
            map.put(nums[i], i);
        }
        throw new IllegalArgumentException("No two sum solution");
    }
}

Both repositories offer valuable resources for learning algorithms and solving LeetCode problems. leetcode-master provides a more extensive collection of problems and solutions, while fucking-algorithm focuses on teaching problem-solving strategies and techniques. The choice between the two depends on the user's preferred programming language and learning style.

leetcode

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Pros of leetcode

Covers a wider range of LeetCode problems, providing solutions in multiple programming languages
Includes detailed explanations and time/space complexity analyses for each solution
Offers a more comprehensive approach to LeetCode preparation, including company-specific problem lists

Cons of leetcode

Less focus on algorithmic patterns and problem-solving techniques compared to fucking-algorithm
May be overwhelming for beginners due to the sheer volume of problems and solutions
Lacks the structured learning path and in-depth explanations found in fucking-algorithm

Code Comparison

fucking-algorithm (Java):

public ListNode reverseList(ListNode head) {
    ListNode prev = null, curr = head;
    while (curr != null) {
        ListNode next = curr.next;
        curr.next = prev;
        prev = curr;
        curr = next;
    }
    return prev;
}

leetcode (JavaScript):

var reverseList = function(head) {
    let prev = null, curr = head;
    while (curr) {
        [curr.next, prev, curr] = [prev, curr, curr.next];
    }
    return prev;
};

Both repositories provide solutions to common LeetCode problems, but they differ in their approach and focus. fucking-algorithm emphasizes understanding algorithmic patterns and problem-solving techniques, while leetcode offers a broader range of problems and solutions in multiple languages. The code comparison shows similar implementations of reversing a linked list, with fucking-algorithm using a more traditional approach in Java and leetcode showcasing a concise ES6 solution in JavaScript.

LeetCode-Go

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Pros of LeetCode-Go

Focuses specifically on Go language implementations
Includes detailed explanations and comments in the code
Covers a wide range of LeetCode problems with consistent structure

Cons of LeetCode-Go

Limited to Go language, less accessible for users of other languages
May not provide as in-depth algorithmic explanations as fucking-algorithm

Code Comparison

LeetCode-Go:

func twoSum(nums []int, target int) []int {
    m := make(map[int]int)
    for i, num := range nums {
        if j, ok := m[target-num]; ok {
            return []int{j, i}
        }
        m[num] = i
    }
    return nil
}

fucking-algorithm:

public int[] twoSum(int[] nums, int target) {
    Map<Integer, Integer> map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int complement = target - nums[i];
        if (map.containsKey(complement)) {
            return new int[] { map.get(complement), i };
        }
        map.put(nums[i], i);
    }
    throw new IllegalArgumentException("No two sum solution");
}

Both repositories provide high-quality algorithm implementations and explanations, but they cater to different audiences. LeetCode-Go is ideal for Go developers looking for language-specific solutions, while fucking-algorithm offers a more language-agnostic approach with in-depth algorithmic insights.

LeetCodeAnimation

75,422

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Pros of LeetCodeAnimation

Utilizes animations and visual aids to explain algorithms, making complex concepts easier to understand
Covers a wide range of LeetCode problems, providing solutions for various difficulty levels
Includes explanations in both Chinese and English, making it accessible to a broader audience

Cons of LeetCodeAnimation

Less comprehensive in terms of algorithm theory and problem-solving strategies
Animations may not be as effective for learners who prefer text-based explanations
Updates are less frequent compared to fucking-algorithm

Code Comparison

LeetCodeAnimation:

public ListNode reverseList(ListNode head) {
    ListNode prev = null;
    ListNode curr = head;
    while (curr != null) {
        ListNode nextTemp = curr.next;
        curr.next = prev;
        prev = curr;
        curr = nextTemp;
    }
    return prev;
}

fucking-algorithm:

ListNode* reverseList(ListNode* head) {
    if (head == nullptr || head->next == nullptr) {
        return head;
    }
    ListNode* last = reverseList(head->next);
    head->next->next = head;
    head->next = nullptr;
    return last;
}

Both repositories offer valuable resources for learning algorithms and solving LeetCode problems. LeetCodeAnimation excels in visual explanations, while fucking-algorithm provides more in-depth theoretical knowledge and problem-solving techniques.

CS-Notes

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Pros of CS-Notes

Broader coverage of computer science topics, including operating systems, networks, and databases
More comprehensive preparation for technical interviews and coding tests
Includes system design concepts, which are crucial for senior-level positions

Cons of CS-Notes

Less focus on in-depth algorithm explanations and problem-solving strategies
May be overwhelming for beginners due to the vast amount of information covered
Lacks the engaging narrative style found in fucking-algorithm

Code Comparison

CS-Notes example (Java):

public ListNode reverseList(ListNode head) {
    ListNode prev = null;
    ListNode curr = head;
    while (curr != null) {
        ListNode nextTemp = curr.next;
        curr.next = prev;
        prev = curr;
        curr = nextTemp;
    }
    return prev;
}

fucking-algorithm example (Python):

def reverseList(self, head: ListNode) -> ListNode:
    prev, curr = None, head
    while curr:
        curr.next, prev, curr = prev, curr, curr.next
    return prev

Both repositories offer valuable resources for learning algorithms and data structures. CS-Notes provides a more comprehensive overview of computer science topics, making it suitable for interview preparation and general knowledge. fucking-algorithm focuses more on in-depth algorithm explanations and problem-solving techniques, which can be particularly helpful for mastering specific algorithms and improving coding skills.