Added task 3374

Author: javadev

README.md

@@ -2133,6 +2133,7 @@
 | 3377 |[Digit Operations to Make Two Integers Equal](src/main/kotlin/g3301_3400/s3377_digit_operations_to_make_two_integers_equal)| Medium | Math, Heap_Priority_Queue, Graph, Shortest_Path, Number_Theory | 215 | 100.00
 | 3376 |[Minimum Time to Break Locks I](src/main/kotlin/g3301_3400/s3376_minimum_time_to_break_locks_i)| Medium | Array, Dynamic_Programming, Bit_Manipulation, Backtracking, Bitmask | 202 | 100.00
 | 3375 |[Minimum Operations to Make Array Values Equal to K](src/main/kotlin/g3301_3400/s3375_minimum_operations_to_make_array_values_equal_to_k)| Easy | Array, Hash_Table | 191 | 100.00
+| 3374 |[First Letter Capitalization II](src/main/kotlin/g3301_3400/s3374_first_letter_capitalization_ii)| Hard | Database | 261 | 84.21
 | 3373 |[Maximize the Number of Target Nodes After Connecting Trees II](src/main/kotlin/g3301_3400/s3373_maximize_the_number_of_target_nodes_after_connecting_trees_ii)| Hard | Depth_First_Search, Breadth_First_Search, Tree | 26 | 98.75
 | 3372 |[Maximize the Number of Target Nodes After Connecting Trees I](src/main/kotlin/g3301_3400/s3372_maximize_the_number_of_target_nodes_after_connecting_trees_i)| Medium | Depth_First_Search, Breadth_First_Search, Tree | 50 | 99.49
 | 3371 |[Identify the Largest Outlier in an Array](src/main/kotlin/g3301_3400/s3371_identify_the_largest_outlier_in_an_array)| Medium | Array, Hash_Table, Counting, Enumeration | 5 | 100.00

src/main/kotlin/g3301_3400/s3374_first_letter_capitalization_ii/readme.md

@@ -0,0 +1,79 @@
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+
+## 3374\. First Letter Capitalization II
+
+Hard
+
+SQL Schema
+
+Table: `user_content`
+
+    +-------------+---------+
+    | Column Name | Type    |
+    +-------------+---------+
+    | content_id  | int     |
+    | content_text| varchar |
+    +-------------+---------+
+content_id is the unique key for this table. Each row contains a unique ID and the corresponding text content. 
+
+Write a solution to transform the text in the `content_text` column by applying the following rules:
+
+*   Convert the **first letter** of each word to **uppercase** and the **remaining** letters to **lowercase**
+*   Special handling for words containing special characters:
+    *   For words connected with a hyphen `-`, **both parts** should be **capitalized** (**e.g.**, top-rated → Top-Rated)
+*   All other **formatting** and **spacing** should remain **unchanged**
+
+Return _the result table that includes both the original `content_text` and the modified text following the above rules_.
+
+The result format is in the following example.
+
+**Example:**
+
+**Input:**
+
+user\_content table:
+
+    +------------+---------------------------------+
+    | content_id | content_text                    |
+    +------------+---------------------------------+
+    | 1          | hello world of SQL              |
+    | 2          | the QUICK-brown fox             |
+    | 3          | modern-day DATA science         |
+    | 4          | web-based FRONT-end development |
+    +------------+---------------------------------+ 
+
+**Output:**
+
+    +------------+---------------------------------+---------------------------------+
+    | content_id | original_text                   | converted_text                  |
+    +------------+---------------------------------+---------------------------------+
+    | 1          | hello world of SQL              | Hello World Of Sql              |
+    | 2          | the QUICK-brown fox             | The Quick-Brown Fox             |
+    | 3          | modern-day DATA science         | Modern-Day Data Science         |
+    | 4          | web-based FRONT-end development | Web-Based Front-End Development |
+    +------------+---------------------------------+---------------------------------+ 
+
+**Explanation:**
+
+*   For content\_id = 1:
+    *   Each word's first letter is capitalized: "Hello World Of Sql"
+*   For content\_id = 2:
+    *   Contains the hyphenated word "QUICK-brown" which becomes "Quick-Brown"
+    *   Other words follow normal capitalization rules
+*   For content\_id = 3:
+    *   Hyphenated word "modern-day" becomes "Modern-Day"
+    *   "DATA" is converted to "Data"
+*   For content\_id = 4:
+    *   Contains two hyphenated words: "web-based" → "Web-Based"
+    *   And "FRONT-end" → "Front-End"
+
+## Solution
+
+```python
+import pandas as pd
+
+def capitalize_content(user_content):
+    user_content['converted_text'] = (user_content.content_text.apply(lambda x: x.title()))
+    return user_content.rename(columns={'content_text': 'original_text'})
+```