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This open-source LLM actually thinks before it answers! Perfect for complex coding, math, and reasoning prompts.
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โ Built on GigaChat 3.5 Ultra: explores multiple step-by-step reasoning paths
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โ Autonomously decides when to call external tools or revise earlier steps
โ Highly efficient: Linear attention uses 37% fewer tokens than DeepSeek V4 Flash Preview
๐ Massive benchmark gains over non-reasoning versions:
โข IFBench: 44 โ 77
โข Natural Plan: 64 โ 80
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๐ Open-sourced under MIT license. Weights on Hugging Face: fp8 | bf16
โค2
โ Let's Understand Operators & Expressions ๐จโ๐ป๐ฅ
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.
๐ง 1. What is an Operator?
An operator is a symbol or keyword that tells the computer to perform an operation.
For example:
Here, "+" is an operator used for addition.
โ 2. Arithmetic Operators
Arithmetic operators are used for mathematical calculations.
Common operators include:
"+" โ Addition
"-" โ Subtraction
"" โ Multiplication
"/" โ Division
"%" โ Remainder
"*" โ Power
Example:
These operators are commonly used in calculations and data processing.
๐ 3. Assignment Operators
Assignment operators are used to assign values to variables.
After this:
Common assignment operators:
"="
"+="
"-="
"*="
"/="
They make it easier to update existing values.
๐ 4. Comparison Operators
Comparison operators compare two values and produce a Boolean result such as "True" or "False".
Common comparison operators:
"==" โ Equal to
"!=" โ Not equal to
">" โ Greater than
"<" โ Less than
">=" โ Greater than or equal to
"<=" โ Less than or equal to
๐ง 5. Logical Operators
Logical operators are used to combine or modify conditions.
The most common ones are:
"and" โ Both conditions must be true
"or" โ At least one condition must be true
"not" โ Reverses the result
Example:
The result is:
๐ค 6. String Operators
Operators can also be used with text.
For example:
Output:
The "+" operator joins strings together.
In languages such as Python, "*" can also repeat a string:
Output:
๐งฉ 7. What is an Expression?
An expression is a combination of values, variables, and operators that produces a result.
Example:
The expression:
produces the value "52".
Expressions are everywhere in programming.
๐ 8. Operator Precedence
When an expression contains multiple operators, programming languages follow rules that determine which operation happens first.
For example:
Multiplication happens before addition.
So the result is:
not "30".
Using parentheses makes the intended order clear:
Now the result is:
๐ 9. Operators Across Languages
The syntax can change slightly between languages, but many fundamental operators are similar.
For example, addition:
Python:
JavaScript:
Java:
``
C++:
โค๏ธ Double Tap & React For More Coding Concepts!
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.
๐ง 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.
โ 2. Arithmetic Operators
Arithmetic operators are used for mathematical calculations.
Common operators include:
"+" โ Addition
"-" โ Subtraction
"" โ Multiplication
"/" โ Division
"%" โ Remainder
"*" โ 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.
๐ 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.
๐ 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:
"==" โ Equal to
"!=" โ Not equal to
">" โ Greater than
"<" โ Less than
">=" โ Greater than or equal to
"<=" โ Less than or equal to
๐ง 5. Logical Operators
Logical operators are used to combine or modify conditions.
The most common ones are:
"and" โ Both conditions must be true
"or" โ At least one condition must be true
"not" โ Reverses the result
Example:
age = 25
has_id = True
print(age >= 18 and has_id)
The result is:
True
๐ค 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
๐งฉ 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.
๐ 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
๐ 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
โค๏ธ Double Tap & React For More Coding Concepts!
โค23๐3
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โค1
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Explore these 4 Google learning programs and develop practical, career-relevant skills.
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2๏ธโฃ Google Business Intelligence Professional Certificate
3๏ธโฃ Google AI Essentials
4๏ธโฃ Google Advanced Data Analytics Professional Certificate
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๐ Complete Roadmap to Learn Programming ๐จโ๐ป๐ฅ
๐ง STEP 1: Understand Programming Basics
โ What is Programming?
โ How Computers Work
โ Variables & Data Types
โ Input & Output
โ Operators & Conditions
๐ Languages to Start With:
โ Python
โ JavaScript
โ C++
๐ STEP 2: Learn Core Programming Concepts
โ Loops & Functions
โ Arrays & Strings
โ Object-Oriented Programming
โ Error Handling
โ File Handling
โก STEP 3: Learn Data Structures & Algorithms
โ Arrays & Linked Lists
โ Stacks & Queues
โ Trees & Graphs
โ Sorting & Searching
โ Time Complexity (Big-O)
๐ Platforms to Practice:
โ LeetCode
โ HackerRank
โ Codeforces
๐ STEP 4: Learn Version Control
โ Git Basics
โ GitHub Repositories
โ Branching & Merging
โ Open Source Contributions
๐ Tools to Learn:
โ Git
โ GitHub
๐ป STEP 5: Choose Your Development Path
๐ Web Development
โ Frontend + Backend
โ APIs & Databases
โ Full Stack Projects
๐ Learn:
โ React
โ Node.js
โ Django
๐ Data Science & AI
โ Data Analysis
โ Machine Learning
โ Deep Learning
โ AI Projects
๐ Learn:
โ Pandas
โ Scikit-learn
โ TensorFlow
๐ฑ App Development
โ Android Apps
โ iOS Apps
โ Cross-Platform Apps
๐ Learn:
โ Flutter
โ React Native
โ Kotlin
โ๏ธ STEP 6: Learn Databases
โ SQL Basics
โ Database Design
โ CRUD Operations
โ Query Optimization
๐ Databases to Learn:
โ MySQL
โ PostgreSQL
โ MongoDB
๐ STEP 7: Learn Deployment & Cloud
โ Hosting Applications
โ APIs Deployment
โ Docker Basics
โ CI/CD Concepts
๐ Platforms to Learn:
โ Docker
โ AWS
โ Vercel
๐ฅ STEP 8: Build Real Projects
โ Portfolio Website
โ Chat Application
โ AI Chatbot
โ Dashboard Projects
โ E-commerce App
๐ก The best way to learn programming:
๐ Learn Fundamentals โ Practice Daily โ Build Projects โ Stay Consistent
๐ฌ Tap โค๏ธ for the detailed explanation!
๐ง STEP 1: Understand Programming Basics
โ What is Programming?
โ How Computers Work
โ Variables & Data Types
โ Input & Output
โ Operators & Conditions
๐ Languages to Start With:
โ Python
โ JavaScript
โ C++
๐ STEP 2: Learn Core Programming Concepts
โ Loops & Functions
โ Arrays & Strings
โ Object-Oriented Programming
โ Error Handling
โ File Handling
โก STEP 3: Learn Data Structures & Algorithms
โ Arrays & Linked Lists
โ Stacks & Queues
โ Trees & Graphs
โ Sorting & Searching
โ Time Complexity (Big-O)
๐ Platforms to Practice:
โ LeetCode
โ HackerRank
โ Codeforces
๐ STEP 4: Learn Version Control
โ Git Basics
โ GitHub Repositories
โ Branching & Merging
โ Open Source Contributions
๐ Tools to Learn:
โ Git
โ GitHub
๐ป STEP 5: Choose Your Development Path
๐ Web Development
โ Frontend + Backend
โ APIs & Databases
โ Full Stack Projects
๐ Learn:
โ React
โ Node.js
โ Django
๐ Data Science & AI
โ Data Analysis
โ Machine Learning
โ Deep Learning
โ AI Projects
๐ Learn:
โ Pandas
โ Scikit-learn
โ TensorFlow
๐ฑ App Development
โ Android Apps
โ iOS Apps
โ Cross-Platform Apps
๐ Learn:
โ Flutter
โ React Native
โ Kotlin
โ๏ธ STEP 6: Learn Databases
โ SQL Basics
โ Database Design
โ CRUD Operations
โ Query Optimization
๐ Databases to Learn:
โ MySQL
โ PostgreSQL
โ MongoDB
๐ STEP 7: Learn Deployment & Cloud
โ Hosting Applications
โ APIs Deployment
โ Docker Basics
โ CI/CD Concepts
๐ Platforms to Learn:
โ Docker
โ AWS
โ Vercel
๐ฅ STEP 8: Build Real Projects
โ Portfolio Website
โ Chat Application
โ AI Chatbot
โ Dashboard Projects
โ E-commerce App
๐ก The best way to learn programming:
๐ Learn Fundamentals โ Practice Daily โ Build Projects โ Stay Consistent
๐ฌ Tap โค๏ธ for the detailed explanation!
โค12
๐๐ฒ๐๐ฒ๐น ๐จ๐ฝ ๐ฌ๐ผ๐๐ฟ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐๐ถ๐๐ต ๐ง๐ต๐ฒ๐๐ฒ ๐๐ฎ๐บ๐ฒ-๐๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด ๐๐ผ๐๐ฟ๐๐ฒ๐!
โ
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Save this post and share with your friends
โ
Looking to learn practical, in-demand skills? These courses cover Generative AI, Cybersecurity, AI tools and Digital Marketing.
๐ซ Learn at your own pace
โกBuild career-relevant skills
๐ฅPractical learning opportunities
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โค4๐1
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 โ
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 โ
โค6
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๐ข Share this valuable opportunity with your friends and classmates!
Dreaming of learning from one of the worldโs most prestigious universities? Explore Harvardโs online courses and build valuable, career-ready skills from home!
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โค1
๐ Now, let's Understand Conditional Statements ๐จโ๐ป๐ฅ
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 โ turn on the fan.
Otherwise โ keep it off.
This type of decision-making is used in almost every real-world application.
๐ง 1. What is a Condition?
A condition is an expression that produces a Boolean result: True or False
Example:
The result is: True because 20 is greater than or equal to 18.
๐ 2. The "if" Statement
The if statement executes a block of code when a condition is true.
Since the condition is true, the message is displayed.
๐ 3. The "if-else" Statement
Sometimes we need to handle both possibilities.
Here, the condition is false, so the else block runs.
๐งฉ 4. The "if-elif-else" Statement
When there are multiple possible conditions, we can use elif.
Python checks the conditions from top to bottom. Once it finds a true condition, its corresponding block is executed.
๐ 5. Multiple Conditions
Logical operators can be used to combine conditions.
Both conditions must be true because and is being used.
โ 6. Using "not"
The not operator reverses a Boolean condition.
Since is_blocked is False, not is_blocked becomes True.
๐ 7. Conditional Statements in Different Languages
The concept is similar across programming languages, although the syntax changes.
Python
JavaScript
Java
C++
The fundamental idea remains the same: evaluate a condition and decide what code should execute.
๐ฆ 8. Real-World Uses
Conditional statements are used everywhere:
โ Login authentication
โ ATM transactions
โ Online shopping
โ Age verification
โ Payment processing
โ Game logic
โ Form validation
โ Access control
โ Recommendation systems
For example, an online store might check whether Stock is available before allowing a customer to place an order.
โ ๏ธ 9. Common Beginner Mistake
Don't confuse assignment with comparison.
means: Assign 10 to x.
While:
means: Check whether x is equal to 10.
This difference is extremely important when writing conditions.
๐ง Conditional statements allow programs to move beyond simply executing instructions in sequence. They allow programs to make decisions.
Double Tap โค๏ธ For More
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 โ turn on the fan.
Otherwise โ keep it off.
This type of decision-making is used in almost every real-world application.
๐ง 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.
๐ 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.
๐ 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.
๐งฉ 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.
๐ 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.
โ 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.
๐ 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.
๐ฆ 8. Real-World Uses
Conditional statements are used everywhere:
โ Login authentication
โ ATM transactions
โ Online shopping
โ Age verification
โ Payment processing
โ Game logic
โ Form validation
โ Access control
โ Recommendation systems
For example, an online store might check whether Stock is available before allowing a customer to place an order.
โ ๏ธ 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.
๐ง Conditional statements allow programs to move beyond simply executing instructions in sequence. They allow programs to make decisions.
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What will be the output?
age = 20
if age >= 18: print("Adult") else: print("Minor")
age = 20
if age >= 18: print("Adult") else: print("Minor")
Anonymous Quiz
87%
Adult
13%
Minor
๐3
What will be the output?
x = 10
if x > 5 and x < 10:
print("Yes")
else:
print("No")
A) Yes โค๏ธ
B) No ๐
x = 10
if x > 5 and x < 10:
print("Yes")
else:
print("No")
A) Yes โค๏ธ
B) No ๐
๐64โค6
What will be the output?
marks = 85
if marks >= 90: print("A") elif marks >= 80: print("B") else: print("C")
marks = 85
if marks >= 90: print("A") elif marks >= 80: print("B") else: print("C")
Anonymous Quiz
17%
A
73%
B
10%
C
What will be the output?
x = 5
if not x > 10: print("Yes") else: print("No")
x = 5
if not x > 10: print("Yes") else: print("No")
Anonymous Quiz
56%
Yes
44%
No
What will be the output?
x = 15
if x > 10: if x < 20: print("A") else: print("B") else: print("C")
x = 15
if x > 10: if x < 20: print("A") else: print("B") else: print("C")
Anonymous Quiz
64%
A
23%
B
13%
C
โค2