📢 INSA Weekend Talent Development Program – Registration Open

The Information Network Security Administration (INSA) invites talented individuals to apply for its Weekend Talent Development Program in cyber security and related fields.

🗓 Schedule: Saturdays & Sundays
📍 Location: INSA Talent Center, Addis Ababa

Eligible applicants:
✔️ Talented individuals with demonstrable projects
✔️ Those who pass INSA’s exam/challenge
✔️ Primary school students to university graduates
✔️ Must be available on weekends

📝 Registration: February 04 – February 14
🔗 Apply at: https://talent.insa.gov.et

ℹ️ More info:
https://t.me/insactc
| https://t.me/cteinsa
@gpspace_tech

ALX Ethiopia, in partnership with OpenAI and the Africa Fintech Summit, is hosting the Addis AI Forum in Addis Ababa on 17 February 2026 starting from 3 pm (የካቲት 10 2018 | 9:00 ሰዓት) during AU Summit Week.

The forum brings together policymakers, innovators, startups, and educators to discuss Africa’s readiness for an AI-driven future — from talent and infrastructure to opportunity and policy.

Join us in shaping Africa’s AI future. Apply to attend in person or virtually via:
https://africafintechsummit.com

#AI #AddisAbaba #ALX #OpenAI #AFTS #AfricaRising

If you’re waiting for the perfect idea, you’ll wait forever.

@Exodus_Tola

#Kingdomsound #night

🚀 Python Mini Tutorial: Calculate Average App Ratings

Ever wanted to quickly calculate average app ratings from your dataset?
Here’s how to do it using CSV and JSON files in Python!

---

📂 1️⃣ Using CSV Files

Example apps.csv:

Name,Price,Currency,Downloads,Rating
Facebook,0.0,USD,2974676,3.5
Instagram,0.0,USD,2161558,4.5
Clash of Clans,0.0,USD,2130805,4.5
Fruit Ninja Classic,1.99,USD,698516,4.5
Minecraft: Pocket Edition,6.99,USD,522012,4.5


Python code:

import csv

with open('apps.csv', 'r') as file:
    reader = csv.reader(file)
    data = list(reader)

total = 0

# Skip header
for row in data[1:]:
    total += float(row[-1])  # Rating is last column

avg = total / (len(data) - 1)

print("📊 Average rating from CSV:", avg)

✅ Output:

📊 Average rating from CSV: 4.3

📂 2️⃣ Using JSON Files

Example apps.json:
[
  {"name": "Facebook", "price": 0.0, "rating": 3.5},
  {"name": "Instagram", "price": 0.0, "rating": 4.5},
  {"name": "Clash of Clans", "price": 0.0, "rating": 4.5},
  {"name": "Fruit Ninja Classic", "price": 1.99, "rating": 4.5},
  {"name": "Minecraft: Pocket Edition", "price": 6.99, "rating": 4.5}
]

```python
import json

with open('apps.json', 'r') as file:
    data = json.load(file)

total = 0

for app in data:
    total += app['rating']

avg = total / len(data)

print(avg)

✅ Output:

Average rating from JSON: 4.3

💡 Tips:

CSV → Good for spreadsheets and data analysis.
JSON → Good for web apps, APIs, and structured data.
Use this code to calculate average, highest, or lowest ratings for any dataset.

#csv #json #AI #ML #DataSciences #GPS
@gpspace_tech

Going to my campus 💪💪💪

@gpspace_tech

📚 Data Structures and Algorithms — How to Select the Right Data Structure

Choosing the right data structure is one of the most important decisions in programming. It determines how fast, efficient, and scalable your system will be.

There are 3 key steps:

1️⃣ Analyze the Problem
Understand the resource constraints:
• How much data will you store?
• How fast must operations run?
• How much memory is available?

Resources include:
• Time (execution speed)
• Space (memory usage)

2️⃣ Determine the Basic Operations
Identify what operations your system needs:
• Insert data
• Delete data
• Search data
• Update data
• Traverse data

Also consider how frequently each operation will occur and how fast it must be.

3️⃣ Select the Best Data Structure
Choose the structure that provides the best performance for your needs.

Examples:
• Need fastest search → Use Hash Table
• Need Last-In First-Out → Use Stack
• Need First-In First-Out → Use Queue
• Need frequent insert/delete → Use Linked List
• Need sorted data → Use Tree or Array

🚀 Key Insight:
The efficiency of your program depends heavily on your data structure choice. The right structure can make your system fast and powerful.

💡 Think like a computer scientist:
First analyze → Then design → Then implement.

#DataStructures
#Algorithms
#ComputerScience
#Programming
#SoftwareEngineering
#FutureEngineers

@gpspace_tech

📘 Properties of Algorithms — Foundation of Computer Science

An algorithm is a step-by-step procedure used to solve a problem. For an algorithm to be correct and useful, it must have the following important properties:

1️⃣ Finiteness
The algorithm must stop after a finite number of steps. It cannot run forever.

2️⃣ Definiteness (No Ambiguity)
Each step must be clear, precise, and well-defined. The computer must understand exactly what to do.

3️⃣ Sequential (Order)
Steps must be executed in the correct logical order to produce the correct result.

4️⃣ Correctness
The algorithm must produce the correct output for every valid input.

5️⃣ Language Independence
An algorithm is not tied to any programming language. It can be implemented in Python, C, Java, or any language.

6️⃣ Feasibility
Each step must be practical and possible to execute with available resources.

7️⃣ Effectiveness
Every instruction must be simple and executable by a computer in a finite time.

8️⃣ Efficiency
The algorithm should use minimum time and memory. Efficient algorithms are faster and more scalable.

9️⃣ Precision
Each instruction must be exact and specific, with no confusion.

🔟 Simplicity
The algorithm should be easy to understand, implement, and maintain.

Additional Properties:

✔️ Input — Accepts zero or more inputs
✔️ Output — Produces at least one output
✔️ Generality — Solves a general problem, not just one specific case

🚀 Key Insight:
Data Structures store data. Algorithms process data. Together, they form the foundation of all software, artificial intelligence, and modern computing.

💡 Master algorithms, and you master problem-solving.

#Algorithms
#DataStructures
#ComputerScience
#Programming
#SoftwareEngineering
#FutureEngineers
#Python

@gpspace_tech

Building AI That Ships — Biniyam Daniel, Addis AI
• youtu.be/4g6ncDSv4B4

This talk is a technical talk for every AI enthusiast covering the parts that make AI work. From infrastructure and platforms, to fine-tuning and inference. This will be one of the best and most comprehensive AI talks given in Ethiopia. Excited for you to listen to it.

#DagmawiBabisMeetup #YouTube
@Dagmawi_Babi

🚀 Python Tip: List vs Generator — Save Memory Like a Pro!

When working with large data in Python, choosing between a List and a Generator can make a huge difference.

Example:

import sys

x = [i for i in range(1, 1000000)]   # List
y = (i for i in range(1, 1000000))   # Generator

print(sys.getsizeof(x))
print(sys.getsizeof(y))  

📊 Result:
• List → Uses ~8,000,000+ bytes
• Generator → Uses ~100 bytes

Huge difference!

🔎 Why?

✅ List:
• Stores ALL values in memory
• Faster access
• Uses more RAM

Memory example:
[1, 2, 3, ..., 999999]

✅ Generator:
• Does NOT store values
• Generates values one-by-one
• Uses very little memory

Memory example:
(generator object only)

💡 Generator example:

def square_gen(n):
    for i in range(1, n+1):
        yield i*i

g = square_gen(5)

for num in g:
    print(num)

Output:
1
4
9
16
25
`

🔥 Why this matters for AI & Big Data:
Generators are used in:
• Machine Learning datasets
• Neural network training
• Large file processing
• Streaming data

🏆 Rule:
Use List → Small data
Use Generator → Large data

Master this, and your Python becomes professional-level.

— Eba Innovate Tech

@gpspace_tech

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@gpspace_tech

REST API ምንድን ነው?

ኢንተርኔት ስንጠቀም አንድ አፕሊኬሽን ከሌላው ጋር እንዴት እንደሚነጋገር አስበው ያውቃሉ? ለምሳሌ፦ አንድ የጉዞ መረጃ የሚሰጥ ድረ-ገጽ የበረራ ሰዓቶችን ከሌላ አየር መንገድ ሲስተም እንዴት ያገኛል? ለዚህ ጥያቄ መልሱ REST API ነው።

API (Application Programming Interface) ማለት ሁለት ሶፍትዌሮች እርስ በእርስ እንዲገናኙ የሚያደርግ ድልድይ ሲሆን፣ REST (Representational State Transfer) ደግሞ ይህ ድልድይ እንዴት መገንባት እንዳለበት የተቀመጠ ዘመናዊ የሕግጋት ስብስብ (Architecture) ነው።

REST API መረጃን ለመለዋወጥ የኢንተርኔት ፕሮቶኮል የሆነውን HTTP ይጠቀማል። ልክ አንድ ደንበኛ ምግብ ቤት ሄዶ አስተናጋጅን እንደሚያዘው ሁሉ፣ የእርስዎ ኮምፒውተር (Client) ለሰርቨሩ (Server) ጥያቄ ያቀርባል፤ ሰርቨሩም የጠየቁትን መረጃ መልሶ ይልካል።

REST API በብዛት የሚጠቀማቸው ዋና ዋና ትዕዛዞች (Methods):
➤ GET: መረጃን ለማምጣት (ለምሳሌ፦ የፌስቡክ ጓደኞቻችሁን ዝርዝር ለማየት )
➤ POST: አዲስ መረጃ ለመላክ (ለምሳሌ፦ አዲስ ፎቶ ለመጫን )
➤ PUT: የነበረን መረጃ ለማስተካከል (ለምሳሌ፦ ፕሮፋይልዎን ለመቀየር )
➤ DELETE: መረጃን ለማጥፋት (ለምሳሌ፦ የጻፉትን ፖስት ለመሰረዝ )

REST API ለምን ተመራጭ ሆነ?

➤ ቀላልነት: ለመረዳት እና ለመጠቀም በጣም ቀላል ነው።
➤ ተለዋዋጭነት (Flexibility): መረጃን በተለያዩ ቅርጾች በተለይም በ JSON መላክ ይችላል።
➤ ፍጥነት: ቀላል በመሆኑ መረጃን በፍጥነት ያመላልሳል።

ዛሬ የምንጠቀማቸው እንደ YouTube, Spotify, እና Google Maps ያሉ ትልልቅ ሲስተሞች በሙሉ ከጀርባ በ REST API የታጠሩ ናቸው። ይህን ቴክኖሎጂ ማወቅ ለFrontendም ሆነ ለBackend ደቨሎፐሮች ግዴታ ነው።

ጽሑፉን ከወደዳችሁት 👍,❤️ አይረሳ። 😊

✍️ @codebiruh

#RESTAPI #WebDevelopment #Backend #JSON

🟢 💻 Coding Challenge: Digit Product vs Digit Sum
Problem:
Given a positive integer n, calculate:
Copy code

(product of digits) - (sum of digits) 

⚠️ Rules:

Do NOT convert the number to a string
Use only arithmetic operators: %, //, *, +
Solve it using a loop 

📌 Example 1:

Input: n = 234
Digits: 2, 3, 4
Product = 2 × 3 × 4 = 24
Sum = 2 + 3 + 4 = 9
Output: 24 - 9 = 15 

📌 Example 2:

Input: n = 4421
Digits: 4, 4, 2, 1
Product = 4 × 4 × 2 × 1 = 32
Sum = 4 + 4 + 2 + 1 = 11
Output: 32 - 11 = 21 

💡 Hint:

Extract last digit: digit = n % 10
Remove last digit: n //= 10
Update sum and product in each loop iteration 

#leetcode #add #multiply #codeforce
The solu 👇👇👇
@gpspace_tech

GraphQL ምንድን ነው?

ከዚህ ቀደም ስለ REST API ተነጋግረን ነበር። ነገር ግን በቴክኖሎጂው ዓለም መረጃን ይበልጥ በብቃት ለማምጣት አዲስና የተሻለ አማራጭ መጥቷል 👉 GraphQL.

GraphQL በ 2012 በ Facebook (Meta) develop የሆነ እና በ 2015 Open-source የሆነ የዳታ መጠየቂያ ቋንቋ (Query Language) ነው። እንደ REST API ሁሉ መረጃን ከሰርቨር ለማምጣት ያገለግላል፤ ልዩነቱ ግን አጠቃቀሙ ላይ ነው።

በ REST API ጊዜ ሰርቨሩ የሰጠንን ዳታ በሙሉ ለመቀበል እንገደዳለን። በ GraphQL ግን የምንፈልገውን መረጃ ብቻ ለይተን መጠየቅ እንችላለን።

ለምሳሌ፦ የአንድን ተጠቃሚ ስም ብቻ ከፈለጋችሁ፣ ሰርቨሩ ስሙን ብቻ ይልክላችኋል። በ REST ቢሆን ኖሮ ግን ስሙን፣ ስልኩን፣ አድራሻውን እና የማይፈለጉ ብዙ መረጃዎችን አብሮ ይልክ ነበር።

GraphQL ለምን ልዩ ነው?
➤ Over-fetchingን ያስቀራል: የማንፈልገውን ዳታ አናመጣም።
➤ Under-fetchingን ይከላከላል: በአንድ ጥያቄ (Query) ብቻ ከተለያዩ ቦታዎች መረጃን መሰብሰብ ይችላል።
➤ ፍጥነት: ለሞባይል አፕሊኬሽኖች እና ዝቅተኛ ኢንተርኔት ላላቸው ተጠቃሚዎች በጣም ፈጣን ነው።
➤ አንድ Endpoint: እንደ REST ብዙ URL አያስፈልገውም፤ ሁሉንም ነገር በአንድ /graphql በኩል መጨረስ ይቻላል።

ዛሬ እንደ GitHub, Pinterest, እና Shopify ያሉ ግዙፍ ኩባንያዎች ወደ GraphQL ተቀይረዋል። ለአንድ ዘመናዊ Full-stack ደቨሎፐር GraphQLን ማወቅ ትልቅ ብቃት ነው።

ባጭሩ GraphQL ማለት "የምትፈልገውን ብቻ ጠይቅ፣ የጠየቅከውን ብቻ አግኝ" የሚል መርህ ያለው ቴክኖሎጂ ነው።

ጽሑፉን ከወደዳችሁት 👍,❤️ አይረሳ። 😊

📌 እስኪ እናንተ ደግሞ GraphQLን ሞክራችሁታል? ከ REST API የትኛው ይበልጥ ይመቻችኋል? Comment ላይ አስተያየታችሁን ጻፉልን! 👇

✍️ @codebiruh

#GraphQL #API #Frontend #Backend

እንዲህም አሏቸው፤ “እናንት የገሊላ ሰዎች ሆይ፤ ወደ ሰማይ እየተመለከታችሁ እዚህ የቆማችሁት ለምንድን ነው? ይህ ከእናንተ ዘንድ ወደ ሰማይ ሲያርግ ያያችሁት ኢየሱስ፣ ልክ ወደ ሰማይ ሲወጣ እንዳያችሁት በዚሁ ሁኔታ ይመለሳል።”
ሐዋርያት ሥራ 1:11
#bible #myjesus #myking
@gpspace_tech

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