👋 Hey everyone! Welcome to Tech With Hos

I’m Hos, just like you learning and exploring the world of tech one step at a time.
This channel is a place where we can discover and understand tech concepts together, without any pressure or confusion.

I’ll share what I learn, simple explanations, and solve problems as I grow.
If you want to learn along with me and improve bit by bit, you’re in the right spot!

Let’s keep it easy, fun, and real. Hit follow and join me on this journey.
Thanks for being here let’s get started! 🚀

The @GPT4Telegrambot now offers free access to GPT-4o image generation. Users can easily create images using AI by describing their ideas in natural language or uploading a photo. Features include transforming photos into cartoon styles (like Studio Ghibli or Disney), making realistic miniatures or LEGO sets, generating stickers or avatars, and more. A user-friendly guide with prompt examples is also available. To start, users just open the bot, click Image Generation, and follow the steps.

Go to :-https://t.me/GPT4Telegrambot?start=gptimages

Tech with hos https://t.me/ethhostech

🚀 Skillbridge Open Bootcamps🔥

Looking to level up your skills, land jobs, or start your freelance journey?
Join one of our hands-on, career-focused bootcamps designed to equip you with real-world skills. 💼✨

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1️⃣ Social Media Management
2️⃣ Digital Marketing & SMMA
3️⃣ Graphics Design
4️⃣ UX/UI Design
5️⃣ Video Editing
6️⃣ Data Structures & Algorithms (2nd Batch)
🔗 For above bootcamps Register Using: Link

7️⃣ Telegram Bot Development(1 Month)
🔗 Register: Link
8️⃣ Mobile App Development with Flutter(3 Months)
🔗 Register: Link
9️⃣ Frontend And Backend Development Bootcamp(3 Months each)
🔗 Register: Link
🔟 Python Mastery Bootcamp(3 Months)
🔗 Register: Link
1️⃣1️⃣  English Language Bootcamp(3 Months)
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1️⃣2️⃣  Full-stack Bootcamp - 2nd Batch (MERN + PostgreSql)(4 Months)
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💻 Whether you're from tech or non-tech, we've got a bootcamp for YOU.

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Chinese scientists have developed a groundbreaking method to restore worn-out lithium-ion batteries using an AI-designed electrolyte solution. The AI model analyzed electrochemistry data to identify cost-effective molecules that dissolve well in electrolytes, selecting lithium salt LiSO₂CF₃ as the best candidate.

How It Works
- Similar to an IV injection for humans, the lithium salt rejuvenates depleted batteries.
- A typical EV battery lasts 2,000 charge cycles before dropping below 80% capacity.
- After adding the lithium salt, the battery performed almost like new even after 12,000 cycles, it retained 96% capacity!

♻️ Why It Matters:
- EVs now make up 20% of the global car market, with batteries accounting for 40% of a car’s cost.
- In 2024, 900,000+ tons of lithium batteries needed disposal, and by 2040, this waste will double.

#Tech #EV #AI #BatteryRevolution @TechWithHos

የቻይና ሳይንቲስቶች ያረጁ የሊቲየም-አዮን ባትሪዎችን በ AI የተነደፈ የኤሌክትሮላይት መፍትሄን በመጠቀም ወደነበረበት ለመመለስ የሚያስችል አዲስ ዘዴ ፈጥረዋል። የ AI ሞዴል የኤሌክትሮኬሚስትሪ መረጃን በኤሌክትሮላይቶች ውስጥ በደንብ የሚሟሟቸው ወጪ ቆጣቢ ሞለኪውሎችን በመለየት የሊቲየም ጨው (LiSO₂CF₃) ምርጥ እጩ አድርጎ መርጧል።

🔬 እንዴት እንደሚሰራ:
- ለሰዎች ከ IV መርፌ ጋር ተመሳሳይ ፣ የሊቲየም ጨው የተሟጠጡ ባትሪዎችን ያድሳል።
- የተለመደ የኢቪ ባትሪ ከ80% በታች ከመውረዱ በፊት 2,000 ቻርጅ ዑደቶች ይቆያል።
- የሊቲየም ጨው ከጨመረ በኋላ ባትሪው አዲስ ለማለት ይቻላል - ከ 12,000 ዑደቶች በኋላም እንኳ 96% አቅም አለው !

♻️ ለምን አስፈላጊ ነው:
- electric cars አሁን 20% ከአለም አቀፉ የመኪና ገበያ ይሸፍናሉ፣የመኪና ዋጋ 40% የሚሆነውን ባትሪዎች ይይዛሉ።
በ 2024 900,000+ ቶን ሊቲየም ባትሪዎች መጣል አስፈልጓቸዋል፣ እና በ2040 ይህ ቆሻሻ በእጥፍ ይጨምራል።
- ዓለም አቀፋዊ የመልሶ ጥቅም ላይ ማዋል አቅም በዓመት 350,000 ቶን ብቻ ነው፣ ቻይና የምትይዘው ከግማሽ በላይ ነው።

ይህ ፈጠራ የባትሪ ዕድሜን ማራዘም፣ ብክነትን ሊቀንስ እና ኢቪዎችን የበለጠ ዘላቂ ማድረግ ይችላል! 🚗⚡️

#Tech #EV #AI #BatteryRevolution @TechWithHos

#🔥 Python OOP Example: Follow System Simulation

# Define a User class
class User:
    
    # Initialize user with ID and username
    def __init__(self, user_id, username):
        self.id = user_id                # Unique ID
        self.username = username         # User's name
        self.followers = 0               # Starts with 0 followers
        self.following = 0               # Starts with 0 following
    
    # Define a follow method: this user follows another user
    def follow(self, user):
        user.followers += 1             # The other user gains a follower
        self.following += 1             # This user follows someone


# Create two users
user1 = User("0.01", "Hosama")
user2 = User("0.02", "Angela")

# user1 follows user2
user1.follow(user2)

# Print current stats
print(user1.followers)   # Output: 0 → Hosama has no followers
print(user1.following)   # Output: 1 → Hosama is following Angela
print(user2.followers)   # Output: 1 → Angela is followed by Hosama
print(user2.following)   # Output: 0 → Angela is not following anyone

#🔥 Python OOP Example: Follow System Simulation

# Define a User class
class User:
    
    # Initialize user with ID and username
    def __init__(self, user_id, username):
        self.id = user_id                # Unique ID
        self.username = username         # User's name
        self.followers = 0               # Starts with 0 followers
        self.following = 0               # Starts with 0 following
    
    # Define a follow method: this user follows another user
    def follow(self, user):
        user.followers += 1             # The other user gains a follower
        self.following += 1             # This user follows someone


# Create two users
user1 = User("0.01", "Hosama")
user2 = User("0.02", "Angela")

# user1 follows user2
user1.follow(user2)

# Print current stats
print(user1.followers)   # Output: 0 → Hosama has no followers
print(user1.following)   # Output: 1 → Hosama is following Angela
print(user2.followers)   # Output: 1 → Angela is followed by Hosama
print(user2.following)   # Output: 0 → Angela is not following anyone

🔥 Python OOP: Simulate a Follow System Like Instagram/Telegram!

Using just one class and a few lines of code, we can simulate a real-world "Follow" feature. In this example:

✅ Each user has:
- An ID and username
- A follower count
- A following count

✅ The follow() method:
- Lets one user follow another
- Updates both users' counts accordingly

🧠 Try making it more realistic: show mutual follows, unfollow feature, or a display method!

#python #oop #beginnercode #telegrambot #follow

🏙 AI Will Fully Manage Abu Dhabi

BOLD Technologies and My Aion are building Aion Sentia, an AI platform to manage Abu Dhabi's entire urban system — transport, healthcare, education, and more launching in 2027.

🧠 The AI “brain,” MAIA, will learn from real-time data to adjust services automatically. Citizens can use an app to get personalized help — even book dinner without lifting a finger!

💲 Costing \$2.5B, the system will be handed to local authorities after investors profit. Expansion to Europe and the U.S. is planned.

❤️ — Yes, I want this future!
🙈 — But what about privacy?

#smartcity #AI #futuretech #UAE
https://t.me/ethhostech

🎲 Almost One in Four Children Already Uses AI

In the UK, 22% of children reported using AI, according to researchers at the Alan Turing Institute and the Lego Foundation. They recently surveyed more than 800 schoolchildren aged 8-12 and over 1,000 teachers. The most popular generative AI tools among kids are ChatGPT, Gemini, and My AI from Snapchat.

🧩 At the same time, most children have never heard of the term "generative AI."

🧩 Children in private schools, as well as students with additional learning needs, use ChatGPT significantly more often. The students with learning difficulties say AI primarily helps them formulate their thoughts.

🧩 About half of children familiar with AI use bots for entertainment, such as creating funny pictures. Older children (11-12) turn to AI to search for information and help with homework.

🧩 76% of parents whose children regularly use AI approve of this. However, almost all worry that their children will encounter inappropriate content.

🎲 ከአራት ልጆች አንድ ማለት ይቻላል አስቀድሞ AI ይጠቀማል

በአላን ቱሪንግ ኢንስቲትዩት እና በሌጎ ፋውንዴሽን ተመራማሪዎች እንደተናገሩት በዩኬ ውስጥ 22% የሚሆኑት ልጆች AI መጠቀማቸውን ተናግረዋል ። በቅርቡ እድሜያቸው ከ8-12 የሆኑ ከ800 በላይ ተማሪዎችን እና ከ1,000 በላይ መምህራንን ዳሰሳ አድርገዋል። በልጆች መካከል በጣም ታዋቂው የጄነሬቲቭ AI መሳሪያዎች ChatGPT ፣ Gemini እና My AI ከ Snapchat ናቸው።

🧩 በተመሳሳይ ጊዜ፣ ብዙ ልጆች ስለ "generative AI" ቃል ሰምተው አያውቁም።

🧩 በግል ትምህርት ቤቶች ያሉ ልጆች እና ተጨማሪ የመማር ፍላጎት ያላቸው ተማሪዎች ቻትጂፒትን በብዛት ይጠቀማሉ። የመማር ችግር ያለባቸው ተማሪዎች AI በዋነኛነት ሃሳባቸውን እንዲቀርጹ ይረዳቸዋል ይላሉ።

🧩 ከ AI ጋር ከሚያውቁት ልጆች መካከል ግማሽ ያህሉ ቦቶችን ለመዝናኛ ይጠቀማሉ፣ ለምሳሌ አስቂኝ ምስሎችን መፍጠር። ትልልቅ ልጆች (11-12) መረጃ ለመፈለግ እና የቤት ስራን ለመርዳት ወደ AI ዘወር ይላሉ።

🧩 76% የሚሆኑት ልጆቻቸው AI በመደበኛነት የሚጠቀሙባቸው ወላጆች ይህንን ያጸድቃሉ። ነገር ግን፣ ሁሉም ማለት ይቻላል ልጆቻቸው ተገቢ ያልሆነ ይዘት ያጋጥማቸዋል ብለው ይጨነቃሉ።

🧩 75% የሚሆኑ አዋቂዎች AI መጠቀም የህጻናትን ሂሳዊ አስተሳሰብ እንደሚያዳክም አይገለሉም።

🧩 አብዛኛዎቹ አስተማሪዎች በአይ የመነጨ ይዘትን እንደራሳቸው አድርገው የሚያቀርቡ ተማሪዎችን ይይዛሉ። በተመሳሳይ ጊዜ 60% የሚሆኑት መምህራን ራሳቸው በስራቸው ውስጥ ቻትቦቶችን ይጠቀማሉ::

11 High Income Skills You Can Learn For Free Online (YouTube)

1. Copywriting
2. Photography
3. Video Editing
4. Digital Marketing
5. Web Development
6. Graphic Designing
7. Game Development
8. Software Development

Learn for free
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A.  Learn copywriting
1. youtu.be/Pum2gV7N_9A

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K. Learn software development

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2. youtu.be/cYXkNOeKXQM

🐶 Python OOP: Inheritance and Method Overriding

In this example, we define a base class Animal and extend it with a subclass Dog. The Dog class overrides the breath() method and adds a new method called swim().

💡 Key Concepts:

super() to reuse parent methods and constructors
Method overriding to add custom behavior in child classes
Class-based code organization in Python

class Animal:
    def __init__(self):
        self.num_eyes = 2

    def breath(self):
        print("inheal ,exhale")

class Dog(Animal):
    def __init__(self):
        super().__init__()

    def breath(self):
        super().breath()
        print("by it is  mouth")

    def swim(self):
        print("woof")

moomy = Dog()
moomy.breath()
moomy.swim()

🖨 Output:

inheal ,exhale
by it is  mouth
woof

🔁 Practice modifying the class or adding more animals!
Python #OOP #Inheritance #TechWithHos #LearnToCode

📊 "Reading CSV Files with Python & Pandas!"
#TechWithHos #PythonTips #DataScience*

🚀 *"Data is the new oil — and Python is the drill."*

In this snippet, we explore how to read and extract data from a CSV file using both Python’s built-in csv module and the powerful Pandas library.

import csv
'''
with open("/Users/kvava/OneDrive/Desktop/002 weather-data.csv") as data_s:
    h = data_s.readlines()
    print(h)

with open("/Users/kvava/OneDrive/Desktop/002 weather-data.csv") as data_s:
    data = csv.reader(data_s)
    tempratures = []

    for row in data:
        if row[1] != "temp":
            temp = int(row[1])
            tempratures.append(temp)
    print(tempratures)
    '''
import pandas

data = pandas.read_csv("/Users/kvava/OneDrive/Desktop/002 weather-data.csv")
print(data["temp"])

🔍 What this code does:

1. The first part (commented out) uses the csv module to manually read temperature values from a CSV file.
2. The second part uses Pandas to read the same file more efficiently — and directly accesses the "temp" column.

📌 Why use Pandas?
Pandas is a powerful Python library for data manipulation and analysis. It makes working with structured data super easy — whether it’s filtering rows, summarizing columns, or transforming tables.

🔥 With Pandas, a few lines of code can replace dozens!
Perfect for data science, machine learning, or just wrangling messy spreadsheets.



💡 Follow @TechWithHos for more Python & tech tips like this!
\#Python #Pandas #CodeSnippet #CSV #LearnToCode #ProgrammingTips

🚀 Python List Comprehension – Clean, Powerful, and Pythonic! 🐍

List comprehensions make your code shorter, faster, and more readable. Whether you're transforming, filtering, or generating data—this tool is a must-know for any Pythonista!

Here’s a quick showcase of how elegant Python can be 👇

# Add 1 to each item in a list
new_numbers = [item + 1 for item in numbers]

# Turn a string into a list of characters
name = "Angela"
new_list = [letter for letter in name]

# Square numbers from 1 to 4
new_double = [d * d for d in range(1, 5)]

# Double the numbers from 1 to 4
new_one = [s + s for s in range(1, 5)]

# Filter names with exactly 4 letters
names = ["Alex", "beth", "caroline", "Dave", "elias", "freddie"]
short_names = [sh for sh in names if len(sh) == 4]

# Capitalize names longer than 5 letters
capitalized = [ca.upper() for ca in names if len(ca) > 5]

⚡️ Why use list comprehensions?
✅ More readable than loops
✅ Great for data transformations
✅ Ideal for filtering and mapping
✅ Just look cooler 😎

🧠 Try tweaking the conditions and expressions—it's one of the fastest ways to learn Python.

\#Python #ListComprehension #CodeSnippet #PythonTips