Coding Projects
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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
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Red:📈 Análisis del canal de Telegram Coding Projects
El canal Coding Projects (@programming_experts) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 67 900 suscriptores, ocupando la posición 1 874 en la categoría Tecnologías y Aplicaciones y el puesto 4 770 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 900 suscriptores.
Según los últimos datos del 05 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 375, y en las últimas 24 horas de 14, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.92%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.14% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 983 visualizaciones. En el primer día suele acumular 776 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
- Intereses temáticos: El contenido se centra en temas clave como |--, algorithm, array, framework, javascript.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
67 900
Suscriptores
+1424 horas
+1137 días
+37530 días
Carga de datos en curso...
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 06 octubre | +3 | |||
| 05 octubre | +14 | |||
| 04 octubre | +28 | |||
| 03 octubre | +23 | |||
| 02 octubre | +25 | |||
| 01 octubre | +19 |
Publicaciones del Canal
What will be the output?
x = 15
if x > 10: if x < 20: print("A") else: print("B") else: print("C")
| 2 | What will be the output?
x = 5
if not x > 10: print("Yes") else: print("No") | 2 181 |
| 3 | What will be the output?
marks = 85
if marks >= 90: print("A") elif marks >= 80: print("B") else: print("C") | 2 037 |
| 4 | What will be the output?
x = 10
if x > 5 and x < 10:
print("Yes")
else:
print("No")
A) Yes ❤️
B) No 👍 | 1 833 |
| 5 | What will be the output?
age = 20
if age >= 18: print("Adult") else: print("Minor") | 1 791 |
| 6 |  𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟲🚀
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| 7 | 🔀 Now, let's Understand Conditional Statements 👨💻🔥
After variables, data types, and operators, the next important concept is conditional statements.
Conditional statements allow a program to make decisions based on whether something is true or false.
For example:
If the temperature is high → turn on the fan.
Otherwise → keep it off.
This type of decision-making is used in almost every real-world application.
🧠 1. What is a Condition?
A condition is an expression that produces a Boolean result: True or False
Example:
age = 20
age >= 18
The result is: True because 20 is greater than or equal to 18.
🐍 2. The "if" Statement
The if statement executes a block of code when a condition is true.
age = 20
if age >= 18:
print("Eligible")
Since the condition is true, the message is displayed.
🔄 3. The "if-else" Statement
Sometimes we need to handle both possibilities.
age = 16
if age >= 18:
print("Eligible")
else:
print("Not eligible")
Here, the condition is false, so the else block runs.
🧩 4. The "if-elif-else" Statement
When there are multiple possible conditions, we can use elif.
marks = 75
if marks >= 90:
print("Excellent")
elif marks >= 60:
print("Good")
else:
print("Needs improvement")
Python checks the conditions from top to bottom. Once it finds a true condition, its corresponding block is executed.
🔗 5. Multiple Conditions
Logical operators can be used to combine conditions.
age = 25
has_ticket = True
if age >= 18 and has_ticket:
print("Entry allowed")
Both conditions must be true because and is being used.
❌ 6. Using "not"
The not operator reverses a Boolean condition.
is_blocked = False
if not is_blocked:
print("Access allowed")
Since is_blocked is False, not is_blocked becomes True.
🌐 7. Conditional Statements in Different Languages
The concept is similar across programming languages, although the syntax changes.
Python
if age >= 18:
print("Adult")
JavaScript
if (age >= 18) {
console.log("Adult");
}
Java
if (age >= 18) {
System.out.println("Adult");
}
C++
if (age >= 18) {
cout << "Adult";
}
The fundamental idea remains the same: evaluate a condition and decide what code should execute.
🏦 8. Real-World Uses
Conditional statements are used everywhere:
✔ Login authentication
✔ ATM transactions
✔ Online shopping
✔ Age verification
✔ Payment processing
✔ Game logic
✔ Form validation
✔ Access control
✔ Recommendation systems
For example, an online store might check whether Stock is available before allowing a customer to place an order.
⚠️ 9. Common Beginner Mistake
Don't confuse assignment with comparison.
x = 10
means: Assign 10 to x.
While:
x == 10
means: Check whether x is equal to 10.
This difference is extremely important when writing conditions.
🧠 Conditional statements allow programs to move beyond simply executing instructions in sequence. They allow programs to make decisions.
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| 8 |  🎓 𝗛𝗔𝗥𝗩𝗔𝗥𝗗 𝗨𝗡𝗜𝗩𝗘𝗥𝗦𝗜𝗧𝗬 𝗙𝗥𝗘𝗘 𝗢𝗡𝗟𝗜𝗡𝗘 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 😍
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| 9 | Hi guys,
I got this query from many people asking if there is any demand for web development, data science, machine learning, cybersecurity or similar fields in the future. Many people who are new to these fields are wondering if AI would replace their jobs or if these fields will still be relevant.
The short answer is yes, there is still a significant demand for these skills, and they are expected to remain relevant for the foreseeable future. Here's a breakdown of each field:
1. Web Development: With the continuous growth of the internet and the increasing number of online businesses, web development remains a vital skill. The demand for dynamic and responsive websites, as well as web applications, ensures that web developers will always have opportunities.
2. Data Science: As companies accumulate more data, the need for skilled data scientists to analyze and interpret this data is growing. Data-driven decision-making is becoming essential for businesses, making data science a highly sought-after field.
3. Machine Learning: Machine learning is a subset of AI that involves teaching computers to learn from data. Its applications range from recommendation systems to predictive analytics and autonomous systems. The field is rapidly expanding and is expected to create numerous job opportunities.
4. Cybersecurity: With the increasing number of cyber threats and attacks, cybersecurity has become a top priority for organizations. Professionals in this field are crucial for protecting sensitive information and ensuring the security of digital infrastructure.
While AI is indeed advancing and automating many tasks, it is also creating new opportunities and fields of study. AI will likely augment rather than replace professionals in these areas, enabling them to work more efficiently and effectively. Adapting to new technologies and continuously upskilling will be key to staying relevant in the evolving job market.
In conclusion, take an overview of each field and see if that interests you. Pick up a field which you can do for years which will make you an expert in long run. Experts are highly valued & irreplaceable in any field. AI might automate simple tasks, but it can't replace the depth of experience and expertise you bring.
Give your best, leave the rest ✅ | 1 786 |
| 10 |  𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀!
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| 11 | 🚀 Complete Roadmap to Learn Programming 👨💻🔥
🧠 STEP 1: Understand Programming Basics
✔ What is Programming?
✔ How Computers Work
✔ Variables & Data Types
✔ Input & Output
✔ Operators & Conditions
🛠 Languages to Start With:
✔ Python
✔ JavaScript
✔ C++
📚 STEP 2: Learn Core Programming Concepts
✔ Loops & Functions
✔ Arrays & Strings
✔ Object-Oriented Programming
✔ Error Handling
✔ File Handling
⚡ STEP 3: Learn Data Structures & Algorithms
✔ Arrays & Linked Lists
✔ Stacks & Queues
✔ Trees & Graphs
✔ Sorting & Searching
✔ Time Complexity (Big-O)
🛠 Platforms to Practice:
✔ LeetCode
✔ HackerRank
✔ Codeforces
🌐 STEP 4: Learn Version Control
✔ Git Basics
✔ GitHub Repositories
✔ Branching & Merging
✔ Open Source Contributions
🛠 Tools to Learn:
✔ Git
✔ GitHub
💻 STEP 5: Choose Your Development Path
🌐 Web Development
✔ Frontend + Backend
✔ APIs & Databases
✔ Full Stack Projects
🛠 Learn:
✔ React
✔ Node.js
✔ Django
📊 Data Science & AI
✔ Data Analysis
✔ Machine Learning
✔ Deep Learning
✔ AI Projects
🛠 Learn:
✔ Pandas
✔ Scikit-learn
✔ TensorFlow
📱 App Development
✔ Android Apps
✔ iOS Apps
✔ Cross-Platform Apps
🛠 Learn:
✔ Flutter
✔ React Native
✔ Kotlin
☁️ STEP 6: Learn Databases
✔ SQL Basics
✔ Database Design
✔ CRUD Operations
✔ Query Optimization
🛠 Databases to Learn:
✔ MySQL
✔ PostgreSQL
✔ MongoDB
🚀 STEP 7: Learn Deployment & Cloud
✔ Hosting Applications
✔ APIs Deployment
✔ Docker Basics
✔ CI/CD Concepts
🛠 Platforms to Learn:
✔ Docker
✔ AWS
✔ Vercel
🔥 STEP 8: Build Real Projects
✔ Portfolio Website
✔ Chat Application
✔ AI Chatbot
✔ Dashboard Projects
✔ E-commerce App
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| 12 |  🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜! 📊
Explore these 4 Google learning programs and develop practical, career-relevant skills.
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4️⃣ Google Advanced Data Analytics Professional Certificate
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| 13 | https://t.me/javascript_courses/3711 | 1 |
| 14 |  🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝟐𝟎𝟐𝟔
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| 15 | ➕ Let's Understand Operators & Expressions 👨💻🔥
After variables and data types, the next important programming concept is understanding operators and expressions.
These are used to perform calculations, compare values, assign data, and create logical conditions.
🧠 1. What is an Operator?
An operator is a symbol or keyword that tells the computer to perform an operation.
For example:
a = 10
b = 5
result = a + b
Here, "+" is an operator used for addition.
➕ 2. Arithmetic Operators
Arithmetic operators are used for mathematical calculations.
Common operators include:
"+" → Addition
"-" → Subtraction
"" → Multiplication
"/" → Division
"%" → Remainder
"*" → Power
Example:
a = 10
b = 3
print(a + b)
print(a - b)
print(a * b)
print(a / b)
print(a % b)
These operators are commonly used in calculations and data processing.
📝 3. Assignment Operators
Assignment operators are used to assign values to variables.
x = 10
x += 5
After this:
x = 15
Common assignment operators:
"="
"+="
"-="
"*="
"/="
They make it easier to update existing values.
🔍 4. Comparison Operators
Comparison operators compare two values and produce a Boolean result such as "True" or "False".
a = 10
b = 5
print(a > b)
print(a == b)
print(a != b)
Common comparison operators:
"==" → Equal to
"!=" → Not equal to
">" → Greater than
"<" → Less than
">=" → Greater than or equal to
"<=" → Less than or equal to
🧠 5. Logical Operators
Logical operators are used to combine or modify conditions.
The most common ones are:
"and" → Both conditions must be true
"or" → At least one condition must be true
"not" → Reverses the result
Example:
age = 25
has_id = True
print(age >= 18 and has_id)
The result is:
True
🔤 6. String Operators
Operators can also be used with text.
For example:
first = "Hello"
second = "World"
print(first + " " + second)
Output:
Hello World
The "+" operator joins strings together.
In languages such as Python, "*" can also repeat a string:
print("Hi " * 3)
Output:
Hi Hi Hi
🧩 7. What is an Expression?
An expression is a combination of values, variables, and operators that produces a result.
Example:
x = 10
y = 5
result = x * y + 2
The expression:
x * y + 2
produces the value "52".
Expressions are everywhere in programming.
📌 8. Operator Precedence
When an expression contains multiple operators, programming languages follow rules that determine which operation happens first.
For example:
result = 10 + 5 * 2
Multiplication happens before addition.
So the result is:
20
not "30".
Using parentheses makes the intended order clear:
result = (10 + 5) * 2
Now the result is:
30
🌍 9. Operators Across Languages
The syntax can change slightly between languages, but many fundamental operators are similar.
For example, addition:
Python:
a + b
JavaScript:
a + b
Java:
``java
a + b``
C++:
a + b
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| 16 |  🤖 New Powerful AI Model: GigaChat 3.5 Reasoning
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✅ Autonomously decides when to call external tools or revise earlier steps
✅ Highly efficient: Linear attention uses 37% fewer tokens than DeepSeek V4 Flash Preview
📈 Massive benchmark gains over non-reasoning versions:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
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| 17 |  🚀 𝗧𝗼𝗽 𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊
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| 18 |  🎓 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀! 🚀
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💼 Business & Entrepreneurship
💡 Leadership & Innovation
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