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Yostina | Bytephilosopher
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a curious mind exploring tech, AI, and social change || ORTHODOX CHRISTIAN || A2SVian
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Today is big day for me, it is a day which I started my first internship at ohio state global one health and also my telegram channel is also created.
No word just thank God And have a blessed night guys.
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Happy holiday for all who celebrate st. Gebriel

ዝክር ተጠርታችኋል everyone😁
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This month I was focusing on ML traning datasets to build real world projects and hosted my first version of it a few days ago

Version 1
https://word-analyzer.streamlit.app

And second version today
Version 2
https://word-analyzer-v1.streamlit.app

So check which one do you think better and please suggest me a way that I can improve it. Also if you know a really good dataset let me know
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Forwarded from Orthodox Spirituality
The lesson of humility cannot be taught by intellectual persuasion, but only by a prolonged and bitter struggle against one’s ego.

–Matthew the Poor
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Happy Sunday y'all🫶
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Good morning my people

It is Monday. New day new beginning. Have a great weekday.
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Today i was working on flask with react. It literally took me the whole day to figure out CORS and also sleeping leaving it with bug oh 🙃. The hard part of being developer is debugging.🤦‍♀

@byte_philosopher
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As today is 21🕯 (in Orthodoxy we celebrate st. Mary in this day) so let me share you my fav part of Tselote arganon

@byte_philosopher
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Hello my people, I am thinking about posting my learning journey of DSA fundamentals. So I will post the summery of today's lesson and some resources daily. Let me know any resources you may recommend me.

@byte_philosopher
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#day1

I tried to study what DSA(data structure and algorithm) is and the most simple DSA which is Array.

@byte_philosopher
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#Day1
Today I learned the basics of DSA (Data Structures & Algorithms) — the backbone of problem-solving in programming.

🔹 DSA helps write efficient code by organizing data (e.g., arrays, trees) and applying algorithms (e.g., search, sort).
🔹 Started with Arrays — ordered collections of elements.

📦 Static vs Dynamic Arrays:

Static Array: Fixed size (e.g., C/C++).

Dynamic Array: Resizable (e.g., Python list, Java ArrayList).


⚙️ Big-O Notation:
Used to measure time/space complexity.

Access: O(1)

Insert/Delete at middle: O(n)

Insert at end (amortized): O(1)

Insert at beginning: O(n)

@byte_philosopher
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Here is the Python code of arrays but manually that actually look like in leetcode challange

# Insert at index i
def insert_at(arr, i, val):
n = len(arr)
new_arr = [0] * (n + 1)
for j in range(i):
new_arr[j] = arr[j]
new_arr[i] = val
for j in range(i, n):
new_arr[j + 1] = arr[j]
return new_arr

# Delete at index i
def delete_at(arr, i):
n = len(arr)
new_arr = [0] * (n - 1)
for j in range(i):
new_arr[j] = arr[j]
for j in range(i + 1, n):
new_arr[j - 1] = arr[j]
return new_arr

# Append at end
def append(arr, val):
n = len(arr)
new_arr = [0] * (n + 1)
for i in range(n):
new_arr[i] = arr[i]
new_arr[n] = val
return new_arr


📌 Arrays are efficient for random access but slow for shifting.
This matters a lot when optimizing real-world problems.

@byte_philosopher
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Forwarded from Samri’s Log
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“There is nothing so strong as gentleness and nothing so gentle as real strength.”


+St. Jerome

@byte_philosopher
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Good night family 🫶
@byte_philosopher
Forwarded from Chapi Dev Talks
Python 3.14 is here with some exciting updates for developers!

The biggest news for most of you is the improved performance for multi-threaded apps thanks to official support for free-threaded Python.

Plus, a new concurrent.interpreters module opens the door for true multi-core parallelism within a single process, offering a new way to write concurrent code that bypasses the GIL for better efficiency.

You'll also find smarter error messages to help you debug faster. Keep an eye out for these changes making your coding life a bit easier!

Test the JIT build of CPython by adding export PYTHON_JIT=1 as new environment variable.

https://docs.python.org/3.14/whatsnew/3.14.html
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What I’ve Learned from Solving LeetCode Challenges 💻🧠

1. Understand the Question Deeply

Don’t rush — take time to fully grasp the problem. Also, understand how your code will be tested so you can write solutions that truly pass all conditions.


2. Build Your Own Logic

Instead of relying too heavily on built-in keywords or shortcuts, try developing your own approach. Sometimes, overusing these shortcuts can lead to unexpected errors.


3. Debug in Your Mind 🧩

Before running your code, mentally simulate it with sample inputs. This helps catch logic flaws early and improves your problem-solving skills.


Keep pushing! Every bug fixed is a step closer to mastery 🔥
#LeetCode #CodingJourney #Debugging #ProblemSolving #LearnToCode

@byte_philosopher
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