Generate Audio captcha using Python

#code #Python
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میخواهی یه جوری برنامه‌نویسی و طراحی سایت رو یاد بگیری که
سریعا بعدش وارد بازار کار بشی ❗️❗️⁉️‼️

⭕️ تخفیف ویژه با ارائه کارت دانشجویی ⭕️
⭐️ مجتمع فنی تهران نمایندگی اکباتان ⭐️

در تمامی دوره‌های دپارتمان IT :
-ICDL (مهارت های هفتگانه کامپیوتر )

-WEB DESIGN PACK (طراحی سایت)

-PYTHON PACK (آموزش صفر تا ۱۰۰ پایتون )

-JAVA (برنامه نویسی با جاوا )

-C#(برنامه نویسی با C#)

-WORDPRESS &SEO
(طراحی سایت بدون کد نویسی کلی میشه ازش پول در بیاری که ما تازه seo رو هم آموزش میدیم )

⚡️اگر میخوای خیلی حرفه‌ای وارد بازار کار بشی

⚡️اگر میخوای داخل ایران فریلنسر کار کنی

⚡️اگر میخوای پروژه‌های خارجی بگیری

⚡️ حتما دوره‌های تخصصی ما که توسط بهترین
⚡️اساتید ما دارای پروژه های ملی  هستند
و
⚡️ ویژه بازار کار هستش رو از دست ندید

⭕️جهت بهره مندی از تخفیفات حتما با شماره
⭕️های زیر تماس حاصل نمایید :

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۰۹۳۷۶۶۰۴۹۳۱
ویا آیدی واتساپ :
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کانال ما در تلگرام :
https://t.me/mftekbatan

Free Data Science using Python

https://bit.ly/3zmbJDf

#Python #Free_course #Data_Science

🆔 @Python4all_pro

Python for Everybody Specialization

Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data

Skills you'll gain:
Json
Xml
Python Programming
Database (DBMS)

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#Python #Free_course
🆔 @Python4all_pro

Excel Basics for Data Analysis

‼️What you'll learn

Display working knowledge of Excel for Data Analysis.

Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

Employ data quality techniques to import and clean data in Excel.

Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables

📥https://imp.i384100.net/Qy9rYo

#علم_داده #اکسل
#DataScience
#Python #Free_course
🆔 @Python4all_pro

معرفی چند سایت خوب برای یادگیری پایتون

🔹https://calmcode.io/

🔹https://superfastpython.com/

🔹https://realpython.com/

#Python
🆔 @Python4all_pro

حل سوالات استخدامی سایت leetcode.com

Task: No. 17. Letter Combinations of a Phone Number #medium

Condition:
Given a string containing the numbers 2 to 9 inclusive, return all possible combinations of letters that the number can represent. Return the answer in any order. The correspondence between numbers and letters (as on telephone buttons) is given below. Note that 1 does not match any letters.

Solution:

```
class Solution(object):
def subsetsWithDup(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
res = []
nums.sort()
self.dfs(nums, [], res)
return res

```

Explanation:
Sorting:

First we sort the nums array. Sorting makes it easy to handle duplicates because similar items will be placed next to each other.
Recursive dfs method:

The dfs method is used to recursively construct all possible subsets. In dfs, path represents the current subset, and res is a list of all subsets.
Adding a subset to the result:

At each level of recursion, we add the current subset of path to the result of res.
Handling duplicates:

Before continuing the recursion, we check whether the current element nums[i] is a duplicate of the previous element. If so, skip it to avoid adding identical subsets to res.
Recursive construction of subsets:

For each element in nums, starting at the current index, we call dfs on the next elements of the array (nums[i+1:]). This means that we consider subsets that include the current element, and continue to build subsets without the current element.
Path (path) and compartment (nums):

Each time dfs is called, a new subset is created by adding the current element to path. This new list is then passed to the next level of recursion, allowing all possible subsets to be constructed.
Time and space complexity:
Time complexity: O(2^n), where n is the number of elements in nums. This is because there are 2^n subsets for an array of n elements.
Space complexity: O(2^n * n), since each of the 2^n possible subsets may require up to n elements to store.

#interview #LeetCode

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