Web Development Project Ideas
Beginner-Level Projects
(Focus: HTML, CSS, basic JavaScript)
1. Calculator
2. Quiz App
3. Rock Paper Scissors
4. Note App
5. Stopwatch App
6. QR Code Reader
7. Weather App
8. Landing Page
9. Password Generator
10. Tic Tac Toe Game
11. Drawing App
12. Meme Generator
13. To-Do List App
14. Typing Speed Test
15. Random User API
Intermediate-Level Projects
(Focus: JavaScript, basic backend, APIs, local storage, UI/UX)
1. Link Shortener Website
2. Portfolio Website
3. Food Order Website
4. Movie App
5. Chat App
6. Twitter Clone
7. Survey App
8. E-Book Site
9. File Sharing App
10. Parallax Website
11. Tracker App
12. Memory App
13. Giphy Clone
14. Chess Game
15. Music Player
Advanced-Level Projects
(Focus: Full Stack, authentication, real-time, complex logic, deployment)
1. Ecommerce Website
2. Instagram Clone
3. Whatsapp Clone
4. Netflix Clone
5. Job Search App
6. Pinterest Clone
7. Dating App
8. Social Media Dashboard
9. User Activity Tracker
10. Stock-Trading App
React ❤️ for more
Join our WhatsApp channel for more: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
Beginner-Level Projects
(Focus: HTML, CSS, basic JavaScript)
1. Calculator
2. Quiz App
3. Rock Paper Scissors
4. Note App
5. Stopwatch App
6. QR Code Reader
7. Weather App
8. Landing Page
9. Password Generator
10. Tic Tac Toe Game
11. Drawing App
12. Meme Generator
13. To-Do List App
14. Typing Speed Test
15. Random User API
Intermediate-Level Projects
(Focus: JavaScript, basic backend, APIs, local storage, UI/UX)
1. Link Shortener Website
2. Portfolio Website
3. Food Order Website
4. Movie App
5. Chat App
6. Twitter Clone
7. Survey App
8. E-Book Site
9. File Sharing App
10. Parallax Website
11. Tracker App
12. Memory App
13. Giphy Clone
14. Chess Game
15. Music Player
Advanced-Level Projects
(Focus: Full Stack, authentication, real-time, complex logic, deployment)
1. Ecommerce Website
2. Instagram Clone
3. Whatsapp Clone
4. Netflix Clone
5. Job Search App
6. Pinterest Clone
7. Dating App
8. Social Media Dashboard
9. User Activity Tracker
10. Stock-Trading App
React ❤️ for more
Join our WhatsApp channel for more: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
❤3
📌 Python Cheatsheet: Master the Foundations & Beyond
Start learning Python →
⬇️ Core Python Building Blocks
Basic Commands
→ print() – Display output
→ input() – Get user input
→ len() – Get length of a data structure
→ type() – Get variable type
→ range() – Generate a sequence
→ help() – Get documentation
Data Types
→ int, float, bool, str – Numbers & text
→ list, tuple, dict, set – Data collections
Control Structures
→ if / elif / else – Conditional logic
→ for, while – Loops
→ break, continue, pass – Loop control
⬇️ Advanced Concepts
Functions & Classes
→ def, return, lambda – Define functions
→ class, init, self – Object-oriented programming
Modules
→ import, from ... import – Reuse code
⬇️ Special Tools
Exception Handling
→ try, except, finally, raise – Handle errors
File Handling
→ open(), read(), write(), close() – Manage files
Decorators & Generators
→ @decorator, yield – Extend or pause functions
List Comprehension
→ [x for x in list if condition] – Create lists efficiently
Like for more ❤️
Start learning Python →
⬇️ Core Python Building Blocks
Basic Commands
→ print() – Display output
→ input() – Get user input
→ len() – Get length of a data structure
→ type() – Get variable type
→ range() – Generate a sequence
→ help() – Get documentation
Data Types
→ int, float, bool, str – Numbers & text
→ list, tuple, dict, set – Data collections
Control Structures
→ if / elif / else – Conditional logic
→ for, while – Loops
→ break, continue, pass – Loop control
⬇️ Advanced Concepts
Functions & Classes
→ def, return, lambda – Define functions
→ class, init, self – Object-oriented programming
Modules
→ import, from ... import – Reuse code
⬇️ Special Tools
Exception Handling
→ try, except, finally, raise – Handle errors
File Handling
→ open(), read(), write(), close() – Manage files
Decorators & Generators
→ @decorator, yield – Extend or pause functions
List Comprehension
→ [x for x in list if condition] – Create lists efficiently
Like for more ❤️
❤4
### Learn HTML Easily 🤩
Here's all you need to get started 🙌
1. Introduction to HTML
- What is HTML?
- HTML Document Structure
- Doctype Declaration
2. Basic HTML Elements
- Headings (
- Paragraphs (
- Line Breaks (
3. Text Formatting
- Emphasis (
- Inline Elements (
- Lists (
4. Links and Navigation
- Creating Links (
- Navigation Menus
- Anchor Links
5. Images and Multimedia
- Inserting Images (
- Image Attributes (alt, width, height)
- Audio and Video (
6. Tables
- Creating Tables (
- Table Attributes
- Spanning Rows and Columns
7. Forms
- Form Structure (
- Input Types (text, password, email, checkbox, radio)
- Buttons and Submit
8. Semantic HTML
- Understanding Semantic Elements (
- Benefits of Semantic HTML
9. HTML5 Features
- New Input Types (date, color, range)
- Canvas (
- Local Storage
10. Attributes and Global Attributes
- Understanding Attributes (id, class, style)
- Global Attributes (data-*, tabindex, title)
11. Meta Tags
- Understanding the
- Essential Meta Tags (charset, viewport, description)
12. Document Structure and Accessibility
- Using
- ARIA Roles and Accessibility Best Practices
13. Microdata and Schema.org
- Adding Microdata for SEO
- Using Schema.org Markup
14. HTML Best Practices
- Code Indentation and Formatting
- Comments and Documentation
- Avoiding Deprecated Tags
15. Responsive Web Design
- Viewport Tag
- Mobile-Friendly HTML Structure
- Integrating with CSS for Responsiveness
16. HTML and SEO
- Importance of Heading Structure
- Using Alt Text for Images
- Semantic HTML for Better SEO
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING 👍👍
Here's all you need to get started 🙌
1. Introduction to HTML
- What is HTML?
- HTML Document Structure
- Doctype Declaration
2. Basic HTML Elements
- Headings (
<h1> to <h6>)- Paragraphs (
<p>)- Line Breaks (
<br>) and Horizontal Rules (<hr>)3. Text Formatting
- Emphasis (
<em>, <strong>)- Inline Elements (
<span>, <a>)- Lists (
<ul>, <ol>, <li>)4. Links and Navigation
- Creating Links (
<a>)- Navigation Menus
- Anchor Links
5. Images and Multimedia
- Inserting Images (
<img>)- Image Attributes (alt, width, height)
- Audio and Video (
<audio>, <video>)6. Tables
- Creating Tables (
<table>, <tr>, <td>, <th>)- Table Attributes
- Spanning Rows and Columns
7. Forms
- Form Structure (
<form>, <input>, <label>)- Input Types (text, password, email, checkbox, radio)
- Buttons and Submit
8. Semantic HTML
- Understanding Semantic Elements (
<header>, <footer>, <article>, <section>, <aside>)- Benefits of Semantic HTML
9. HTML5 Features
- New Input Types (date, color, range)
- Canvas (
<canvas>)- Local Storage
10. Attributes and Global Attributes
- Understanding Attributes (id, class, style)
- Global Attributes (data-*, tabindex, title)
11. Meta Tags
- Understanding the
<head> Section- Essential Meta Tags (charset, viewport, description)
12. Document Structure and Accessibility
- Using
<header>, <main>, <footer>- ARIA Roles and Accessibility Best Practices
13. Microdata and Schema.org
- Adding Microdata for SEO
- Using Schema.org Markup
14. HTML Best Practices
- Code Indentation and Formatting
- Comments and Documentation
- Avoiding Deprecated Tags
15. Responsive Web Design
- Viewport Tag
- Mobile-Friendly HTML Structure
- Integrating with CSS for Responsiveness
16. HTML and SEO
- Importance of Heading Structure
- Using Alt Text for Images
- Semantic HTML for Better SEO
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING 👍👍
❤2
Some popular websites to practice Python programming:
1. LeetCode (leetcode.com) – Offers a vast collection of coding problems, including Python-specific problems. It's great for preparing for technical interviews.
2. HackerRank (hackerrank.com) – Provides challenges across multiple domains, including Python. It has a wide range of problems, from beginner to advanced levels.
3. CodeWars (codewars.com) – A community-driven platform with Python challenges at varying levels of difficulty. It has a gamified approach to problem-solving.
4. Exercism (exercism.org) – Offers Python challenges and provides mentor-guided learning. It's excellent for in-depth practice.
5. Project Euler (projecteuler.net) – Great for mathematical and algorithmic challenges that can be solved using Python.
6. Real Python (realpython.com) – Besides tutorials, it offers exercises to practice Python in real-world scenarios.
7. Edabit (edabit.com) – Features interactive Python challenges with a focus on bite-sized coding problems.
8. Python.org (python.org) – The official Python website has a section for beginner tutorials, as well as links to advanced topics and exercises.
These platforms should provide a variety of challenges that can help you strengthen your Python skills.
1. LeetCode (leetcode.com) – Offers a vast collection of coding problems, including Python-specific problems. It's great for preparing for technical interviews.
2. HackerRank (hackerrank.com) – Provides challenges across multiple domains, including Python. It has a wide range of problems, from beginner to advanced levels.
3. CodeWars (codewars.com) – A community-driven platform with Python challenges at varying levels of difficulty. It has a gamified approach to problem-solving.
4. Exercism (exercism.org) – Offers Python challenges and provides mentor-guided learning. It's excellent for in-depth practice.
5. Project Euler (projecteuler.net) – Great for mathematical and algorithmic challenges that can be solved using Python.
6. Real Python (realpython.com) – Besides tutorials, it offers exercises to practice Python in real-world scenarios.
7. Edabit (edabit.com) – Features interactive Python challenges with a focus on bite-sized coding problems.
8. Python.org (python.org) – The official Python website has a section for beginner tutorials, as well as links to advanced topics and exercises.
These platforms should provide a variety of challenges that can help you strengthen your Python skills.
❤4
🔥 | Top 10 VS Code Extensions 📚👨💻
✨ | Prettier: Clean, consistent auto-formatting
🧩 | Bracket Pair Colorizer: Color-coded brackets
⚡️ | Live Server: Auto-refresh websites as you code
📸 | CodeSnap: Snap stunning code screenshots
🖤 | Aura Theme: Sleek dark mode for your editor
🎨 | Material Icon Theme: Colorful file icons, easy nav
🤖 | GitHub Copilot: AI code buddy with smart suggestions
⚙️ | ESLint: Catch and fix errors on the fly
🚀 | Tabnine: Speed up coding with AI autocomplete
🔍 | Path Intellisense: Auto path imports, zero hassle
React ❤️ for more like this
✨ | Prettier: Clean, consistent auto-formatting
🧩 | Bracket Pair Colorizer: Color-coded brackets
⚡️ | Live Server: Auto-refresh websites as you code
📸 | CodeSnap: Snap stunning code screenshots
🖤 | Aura Theme: Sleek dark mode for your editor
🎨 | Material Icon Theme: Colorful file icons, easy nav
🤖 | GitHub Copilot: AI code buddy with smart suggestions
⚙️ | ESLint: Catch and fix errors on the fly
🚀 | Tabnine: Speed up coding with AI autocomplete
🔍 | Path Intellisense: Auto path imports, zero hassle
React ❤️ for more like this
❤5
SQL CHEAT SHEET👩💻
Here is a quick cheat sheet of some of the most essential SQL commands:
SELECT - Retrieves data from a database
UPDATE - Updates existing data in a database
DELETE - Removes data from a database
INSERT - Adds data to a database
CREATE - Creates an object such as a database or table
ALTER - Modifies an existing object in a database
DROP -Deletes an entire table or database
ORDER BY - Sorts the selected data in an ascending or descending order
WHERE – Condition used to filter a specific set of records from the database
GROUP BY - Groups a set of data by a common parameter
HAVING - Allows the use of aggregate functions within the query
JOIN - Joins two or more tables together to retrieve data
INDEX - Creates an index on a table, to speed up search times.
Here is a quick cheat sheet of some of the most essential SQL commands:
SELECT - Retrieves data from a database
UPDATE - Updates existing data in a database
DELETE - Removes data from a database
INSERT - Adds data to a database
CREATE - Creates an object such as a database or table
ALTER - Modifies an existing object in a database
DROP -Deletes an entire table or database
ORDER BY - Sorts the selected data in an ascending or descending order
WHERE – Condition used to filter a specific set of records from the database
GROUP BY - Groups a set of data by a common parameter
HAVING - Allows the use of aggregate functions within the query
JOIN - Joins two or more tables together to retrieve data
INDEX - Creates an index on a table, to speed up search times.
❤3
SQL Basics for Beginners: Must-Know Concepts
1. What is SQL?
SQL (Structured Query Language) is a standard language used to communicate with databases. It allows you to query, update, and manage relational databases by writing simple or complex queries.
2. SQL Syntax
SQL is written using statements, which consist of keywords like
- SQL keywords are not case-sensitive, but it's common to write them in uppercase (e.g.,
3. SQL Data Types
Databases store data in different formats. The most common data types are:
-
-
-
-
4. Basic SQL Queries
Here are some fundamental SQL operations:
- SELECT Statement: Used to retrieve data from a database.
- WHERE Clause: Filters data based on conditions.
- ORDER BY: Sorts data in ascending (
- LIMIT: Limits the number of rows returned.
5. Filtering Data with WHERE Clause
The
You can use comparison operators like:
-
-
-
-
6. Aggregating Data
SQL provides functions to summarize or aggregate data:
- COUNT(): Counts the number of rows.
- SUM(): Adds up values in a column.
- AVG(): Calculates the average value.
- GROUP BY: Groups rows that have the same values into summary rows.
7. Joins in SQL
Joins combine data from two or more tables:
- INNER JOIN: Retrieves records with matching values in both tables.
- LEFT JOIN: Retrieves all records from the left table and matched records from the right table.
8. Inserting Data
To add new data to a table, you use the
9. Updating Data
You can update existing data in a table using the
10. Deleting Data
To remove data from a table, use the
Here you can find essential SQL Interview Resources👇
https://t.me/DataSimplifier
Like this post if you need more 👍❤️
Hope it helps :)
1. What is SQL?
SQL (Structured Query Language) is a standard language used to communicate with databases. It allows you to query, update, and manage relational databases by writing simple or complex queries.
2. SQL Syntax
SQL is written using statements, which consist of keywords like
SELECT, FROM, WHERE, etc., to perform operations on the data.- SQL keywords are not case-sensitive, but it's common to write them in uppercase (e.g.,
SELECT, FROM).3. SQL Data Types
Databases store data in different formats. The most common data types are:
-
INT (Integer): For whole numbers.-
VARCHAR(n) or TEXT: For storing text data.-
DATE: For dates.-
DECIMAL: For precise decimal values, often used in financial calculations.4. Basic SQL Queries
Here are some fundamental SQL operations:
- SELECT Statement: Used to retrieve data from a database.
SELECT column1, column2 FROM table_name;
- WHERE Clause: Filters data based on conditions.
SELECT * FROM table_name WHERE condition;
- ORDER BY: Sorts data in ascending (
ASC) or descending (DESC) order.SELECT column1, column2 FROM table_name ORDER BY column1 ASC;
- LIMIT: Limits the number of rows returned.
SELECT * FROM table_name LIMIT 5;
5. Filtering Data with WHERE Clause
The
WHERE clause helps you filter data based on a condition:SELECT * FROM employees WHERE salary > 50000;
You can use comparison operators like:
-
=: Equal to-
>: Greater than-
<: Less than-
LIKE: For pattern matching6. Aggregating Data
SQL provides functions to summarize or aggregate data:
- COUNT(): Counts the number of rows.
SELECT COUNT(*) FROM table_name;
- SUM(): Adds up values in a column.
SELECT SUM(salary) FROM employees;
- AVG(): Calculates the average value.
SELECT AVG(salary) FROM employees;
- GROUP BY: Groups rows that have the same values into summary rows.
SELECT department, AVG(salary) FROM employees GROUP BY department;
7. Joins in SQL
Joins combine data from two or more tables:
- INNER JOIN: Retrieves records with matching values in both tables.
SELECT employees.name, departments.department
FROM employees
INNER JOIN departments
ON employees.department_id = departments.id;
- LEFT JOIN: Retrieves all records from the left table and matched records from the right table.
SELECT employees.name, departments.department
FROM employees
LEFT JOIN departments
ON employees.department_id = departments.id;
8. Inserting Data
To add new data to a table, you use the
INSERT INTO statement: INSERT INTO employees (name, position, salary) VALUES ('John Doe', 'Analyst', 60000);
9. Updating Data
You can update existing data in a table using the
UPDATE statement:UPDATE employees SET salary = 65000 WHERE name = 'John Doe';
10. Deleting Data
To remove data from a table, use the
DELETE statement:DELETE FROM employees WHERE name = 'John Doe';
Here you can find essential SQL Interview Resources👇
https://t.me/DataSimplifier
Like this post if you need more 👍❤️
Hope it helps :)
❤6
Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months
### Week 1: Introduction to Python
Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions
Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules
Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode
### Week 2: Advanced Python Concepts
Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions
Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files
Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
Day 14: Practice Day
- Solve intermediate problems on coding platforms
### Week 3: Introduction to Data Structures
Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists
Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues
Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions
Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues
### Week 4: Fundamental Algorithms
Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort
Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis
Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques
Day 28: Practice Day
- Solve problems on sorting, searching, and hashing
### Week 5: Advanced Data Structures
Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)
Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps
Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)
Day 35: Practice Day
- Solve problems on trees, heaps, and graphs
### Week 6: Advanced Algorithms
Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)
Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms
Day 40-41: Graph Algorithms
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s algorithms for minimum spanning tree
Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms
### Week 7: Problem Solving and Optimization
Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems
Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef
Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization
Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them
### Week 8: Final Stretch and Project
Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts
Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project
Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems
Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report
Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://t.me/free4unow_backup
ENJOY LEARNING 👍👍
### Week 1: Introduction to Python
Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions
Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules
Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode
### Week 2: Advanced Python Concepts
Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions
Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files
Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
Day 14: Practice Day
- Solve intermediate problems on coding platforms
### Week 3: Introduction to Data Structures
Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists
Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues
Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions
Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues
### Week 4: Fundamental Algorithms
Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort
Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis
Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques
Day 28: Practice Day
- Solve problems on sorting, searching, and hashing
### Week 5: Advanced Data Structures
Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)
Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps
Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)
Day 35: Practice Day
- Solve problems on trees, heaps, and graphs
### Week 6: Advanced Algorithms
Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)
Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms
Day 40-41: Graph Algorithms
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s algorithms for minimum spanning tree
Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms
### Week 7: Problem Solving and Optimization
Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems
Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef
Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization
Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them
### Week 8: Final Stretch and Project
Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts
Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project
Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems
Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report
Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://t.me/free4unow_backup
ENJOY LEARNING 👍👍
❤3👏1