Quick SQL functions cheat sheet for beginners
Aggregate Functions
COUNT(*): Counts rows.
SUM(column): Total sum.
AVG(column): Average value.
MAX(column): Maximum value.
MIN(column): Minimum value.
String Functions
CONCAT(a, b, …): Concatenates strings.
SUBSTRING(s, start, length): Extracts part of a string.
UPPER(s) / LOWER(s): Converts string case.
TRIM(s): Removes leading/trailing spaces.
Date & Time Functions
CURRENT_DATE / CURRENT_TIME / CURRENT_TIMESTAMP: Current date/time.
EXTRACT(unit FROM date): Retrieves a date part (e.g., year, month).
DATE_ADD(date, INTERVAL n unit): Adds an interval to a date.
Numeric Functions
ROUND(num, decimals): Rounds to a specified decimal.
CEIL(num) / FLOOR(num): Rounds up/down.
ABS(num): Absolute value.
MOD(a, b): Returns the remainder.
Control Flow Functions
CASE: Conditional logic.
COALESCE(val1, val2, …): Returns the first non-null value.
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Aggregate Functions
COUNT(*): Counts rows.
SUM(column): Total sum.
AVG(column): Average value.
MAX(column): Maximum value.
MIN(column): Minimum value.
String Functions
CONCAT(a, b, …): Concatenates strings.
SUBSTRING(s, start, length): Extracts part of a string.
UPPER(s) / LOWER(s): Converts string case.
TRIM(s): Removes leading/trailing spaces.
Date & Time Functions
CURRENT_DATE / CURRENT_TIME / CURRENT_TIMESTAMP: Current date/time.
EXTRACT(unit FROM date): Retrieves a date part (e.g., year, month).
DATE_ADD(date, INTERVAL n unit): Adds an interval to a date.
Numeric Functions
ROUND(num, decimals): Rounds to a specified decimal.
CEIL(num) / FLOOR(num): Rounds up/down.
ABS(num): Absolute value.
MOD(a, b): Returns the remainder.
Control Flow Functions
CASE: Conditional logic.
COALESCE(val1, val2, …): Returns the first non-null value.
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Share with credits: https://t.iss.one/sqlspecialist
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Let me explain all the major programming languages in detail so you can better understand which one would be the best fit for you starting with Python
Python Programming Roadmap
Python is beginner-friendly, used in web dev, data science, AI, automation, and is often the first choice for programming newbies.
Step 1: Learn the Basics
Time: 1–2 weeks
Variables (name = "John")
Data Types (int, float, string, list, etc.)
Input and Output (input(), print())
Operators (+, -, *, /, %, //)
Indentation and Syntax rules
*Practice Ideas:*
Build a simple calculator
Create a name greeter
Make a temperature converter
Resources :
- w3schools
- freeCodeCamp
Step 2: Control Flow and Loops
Time: 1 week
- If-else conditions
- For loops and while loops
- Loop control: break, continue, pass
Practice Ideas:
- FizzBuzz
- Number guessing game
- Print star patterns
Step 3: Data Structures in Python
Time: 1–2 weeks
- Lists, Tuples, Sets, Dictionaries
- List Methods: append(), remove(), sort()
- Dictionary Methods: get(), keys(), values()
Practice Ideas:
- Create a contact book
- Word frequency counter
- Store student scores in a dictionary
Step 4: Functions
Time: 1 week
- Define functions using def
- Return statements
- Arguments and Parameters (*args, **kwargs)
- Variable Scope
*Practice Ideas:*
- ATM simulator
- Password generator
- Function-based calculator
Step 5: File Handling and Exceptions
Time: 1 week
- Open, read, write files
- Use of with open(...) as f:
- Try-Except blocks
Practice Ideas:
- Log user data to a file
- Read and analyze text files
- Save login data
Step 6: Object-Oriented Programming (OOP)
Time: 1–2 weeks
- Classes and Objects
- The init() constructor
- Inheritance
- Encapsulation
*Practice Ideas* :
- Build a class for a Bank Account
- Design a Library Management System
- Build a Rental System
Step 7: Choose any Specialization Track
a. Data Science & ML
Learn: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
Projects: Analyze sales data, build prediction models
b. Web Development
Learn: Flask or Django, HTML, CSS, SQLite/PostgreSQL
Projects: Portfolio site, blog app, task manager
c. Automation/Scripting
Learn: Selenium, PyAutoGUI, os module, shutil
Projects: Auto-login bot, bulk file renamer, web scraper
d. AI & Deep Learning
Learn: TensorFlow, PyTorch, OpenCV
Projects: Image classification, face detection, chatbots
Final Step: Build Projects & Share on GitHub
- Upload code to GitHub
- Start with 2–3 real-world projects
- Create a personal portfolio site
*Use Replit or Jupyter Notebooks for practice*
*Practice daily – consistency matters more than speed*
Here you can find free Python Resources: https://t.iss.one/pythonproz
Credits: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
React with ♥️ if you like my explanation
Python Programming Roadmap
Python is beginner-friendly, used in web dev, data science, AI, automation, and is often the first choice for programming newbies.
Step 1: Learn the Basics
Time: 1–2 weeks
Variables (name = "John")
Data Types (int, float, string, list, etc.)
Input and Output (input(), print())
Operators (+, -, *, /, %, //)
Indentation and Syntax rules
*Practice Ideas:*
Build a simple calculator
Create a name greeter
Make a temperature converter
Resources :
- w3schools
- freeCodeCamp
Step 2: Control Flow and Loops
Time: 1 week
- If-else conditions
- For loops and while loops
- Loop control: break, continue, pass
Practice Ideas:
- FizzBuzz
- Number guessing game
- Print star patterns
Step 3: Data Structures in Python
Time: 1–2 weeks
- Lists, Tuples, Sets, Dictionaries
- List Methods: append(), remove(), sort()
- Dictionary Methods: get(), keys(), values()
Practice Ideas:
- Create a contact book
- Word frequency counter
- Store student scores in a dictionary
Step 4: Functions
Time: 1 week
- Define functions using def
- Return statements
- Arguments and Parameters (*args, **kwargs)
- Variable Scope
*Practice Ideas:*
- ATM simulator
- Password generator
- Function-based calculator
Step 5: File Handling and Exceptions
Time: 1 week
- Open, read, write files
- Use of with open(...) as f:
- Try-Except blocks
Practice Ideas:
- Log user data to a file
- Read and analyze text files
- Save login data
Step 6: Object-Oriented Programming (OOP)
Time: 1–2 weeks
- Classes and Objects
- The init() constructor
- Inheritance
- Encapsulation
*Practice Ideas* :
- Build a class for a Bank Account
- Design a Library Management System
- Build a Rental System
Step 7: Choose any Specialization Track
a. Data Science & ML
Learn: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
Projects: Analyze sales data, build prediction models
b. Web Development
Learn: Flask or Django, HTML, CSS, SQLite/PostgreSQL
Projects: Portfolio site, blog app, task manager
c. Automation/Scripting
Learn: Selenium, PyAutoGUI, os module, shutil
Projects: Auto-login bot, bulk file renamer, web scraper
d. AI & Deep Learning
Learn: TensorFlow, PyTorch, OpenCV
Projects: Image classification, face detection, chatbots
Final Step: Build Projects & Share on GitHub
- Upload code to GitHub
- Start with 2–3 real-world projects
- Create a personal portfolio site
*Use Replit or Jupyter Notebooks for practice*
*Practice daily – consistency matters more than speed*
Here you can find free Python Resources: https://t.iss.one/pythonproz
Credits: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
React with ♥️ if you like my explanation
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Closures & Decorators in Python 👆
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Prize for the best article - 1 million roubles!
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Prize for the best scientific paper - 1 million roubles!
Selected papers will be published in the scientific journal Doklady Mathematics.
📖 The journal:
• Indexed in the largest bibliographic databases of scientific citations
• Accessible to an international audience and published in the world’s digital libraries
Submit your article by August 20 and get the opportunity not only to publish your research the scientific journal, but also to present it at the AI Journey conference.
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• CSS3 & Preprocessors (SASS, SCSS) – Advanced styling
• JavaScript ES6+ – Arrow functions, Promises, Async/Await
CSS Frameworks & UI Libraries:
• Bootstrap & Tailwind CSS – Speed up styling
• Flexbox & CSS Grid – Modern layout techniques
• Material UI, Ant Design, Chakra UI – Prebuilt UI components
JavaScript Frameworks & Libraries:
• React.js – Component-based UI development
• Vue.js / Angular – Alternative frontend frameworks
• Next.js & Nuxt.js – Server-side rendering (SSR) & static site generation
State Management:
• Redux / Context API (React) – Manage complex state
• Pinia / Vuex (Vue) – Efficient state handling
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• Fetch API & Axios – Consume RESTful APIs
• GraphQL & Apollo Client – Query APIs efficiently
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• Lazy Loading & Code Splitting – Faster load times
• Web Performance Optimization (Lighthouse, Core Web Vitals)
Version Control & Deployment:
• Git & GitHub – Track changes and collaborate
• CI/CD & Hosting – Deploy with Vercel, Netlify, Firebase
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