9 Baby Steps to Learn Web Development ๐๐
1. Understand the Basics: Begin with learning the fundamental technologies that power the web: HTML, CSS, and JavaScript. HTML structures the content, CSS styles it, and JavaScript adds interactivity. Focus on building simple web pages to get comfortable with these technologies.
2. Build Simple Websites: Start creating basic websites. Begin with static websites where you practice structuring content with HTML and styling it with CSS. Try building a personal portfolio or a simple landing page to apply what youโve learned.
3. Learn Version Control with Git: Git is essential for tracking changes and collaborating on projects. Learn the basics of Git and GitHub, such as creating repositories, committing changes, and pushing code. Start by managing your web projects with Git.
4. Dive into Responsive Design: Learn how to make your websites responsive, so they look good on different devices. Study CSS techniques like Flexbox and Grid, and practice using media queries to adapt your siteโs layout for various screen sizes.
5. Explore JavaScript Further: Deepen your understanding of JavaScript by learning about DOM manipulation, event handling, and AJAX. Practice by adding dynamic elements to your websites, such as interactive forms, image sliders, or real-time content updates.
6. Start with Front-End Frameworks: Familiarize yourself with popular front-end frameworks like Bootstrap for faster styling and layout or React.js for building dynamic user interfaces. Use these tools to create more complex web applications.
7. Work on Full-Stack Projects: Once youโre comfortable with front-end development, start learning about back-end technologies like Node.js, Express.js, and databases (SQL or NoSQL). Build full-stack applications that include both front-end and back-end components, such as a blog platform or a basic e-commerce site.
8. Join Web Development Communities: Engage with communities on platforms like StackOverflow, Redditโs webdev subreddit, and GitHub. Contributing to open-source projects or seeking feedback on your work will accelerate your learning.
9. Practice and Keep Learning: Web development is vast and continuously evolving. Keep building projects, learning new frameworks, and staying updated with industry trends. Consistent practice and staying curious are key to becoming a proficient web developer.
5 Free Web Development Courses by Udacity & Microsoft ๐๐
Intro to HTML and CSS
Intro to Backend
Intro to JavaScript
Web Development for Beginners
Object-Oriented JavaScript
Best Web Development Resources
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
1. Understand the Basics: Begin with learning the fundamental technologies that power the web: HTML, CSS, and JavaScript. HTML structures the content, CSS styles it, and JavaScript adds interactivity. Focus on building simple web pages to get comfortable with these technologies.
2. Build Simple Websites: Start creating basic websites. Begin with static websites where you practice structuring content with HTML and styling it with CSS. Try building a personal portfolio or a simple landing page to apply what youโve learned.
3. Learn Version Control with Git: Git is essential for tracking changes and collaborating on projects. Learn the basics of Git and GitHub, such as creating repositories, committing changes, and pushing code. Start by managing your web projects with Git.
4. Dive into Responsive Design: Learn how to make your websites responsive, so they look good on different devices. Study CSS techniques like Flexbox and Grid, and practice using media queries to adapt your siteโs layout for various screen sizes.
5. Explore JavaScript Further: Deepen your understanding of JavaScript by learning about DOM manipulation, event handling, and AJAX. Practice by adding dynamic elements to your websites, such as interactive forms, image sliders, or real-time content updates.
6. Start with Front-End Frameworks: Familiarize yourself with popular front-end frameworks like Bootstrap for faster styling and layout or React.js for building dynamic user interfaces. Use these tools to create more complex web applications.
7. Work on Full-Stack Projects: Once youโre comfortable with front-end development, start learning about back-end technologies like Node.js, Express.js, and databases (SQL or NoSQL). Build full-stack applications that include both front-end and back-end components, such as a blog platform or a basic e-commerce site.
8. Join Web Development Communities: Engage with communities on platforms like StackOverflow, Redditโs webdev subreddit, and GitHub. Contributing to open-source projects or seeking feedback on your work will accelerate your learning.
9. Practice and Keep Learning: Web development is vast and continuously evolving. Keep building projects, learning new frameworks, and staying updated with industry trends. Consistent practice and staying curious are key to becoming a proficient web developer.
5 Free Web Development Courses by Udacity & Microsoft ๐๐
Intro to HTML and CSS
Intro to Backend
Intro to JavaScript
Web Development for Beginners
Object-Oriented JavaScript
Best Web Development Resources
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
โค2
When youโre in an interview, itโs super important to know how to talk about your projects in a way that impresses the interviewer. Here are some key points to help you do just that:
โค ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.
โค ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ฆ๐๐ฎ๐๐ฒ๐บ๐ฒ๐ป๐:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.
โค ๐ฃ๐ฟ๐ผ๐ฝ๐ผ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?
โค ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ผ๐น๐ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโs clear whether you were leading the project, a key player, or supporting the team.
โค ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ผ๐ผ๐น๐:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.
โค ๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got.
โค ๐ง๐ฒ๐ฎ๐บ ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโs success?
โค ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐:
- Reflect on what you learned from the project. What new skills did you gain, and what would you do differently next time?
โค ๐ง๐ถ๐ฝ๐ ๐ณ๐ผ๐ฟ ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- If thereโs a pause after you describe the project, donโt hesitate to ask if theyโd like more details or if thereโs a specific part theyโre interested in.
By preparing your project details thoroughly and understanding what the interviewer is looking for, you can talk about your experience in a way that really showcases your skills and increases your chances of getting the job.
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
โค ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.
โค ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ฆ๐๐ฎ๐๐ฒ๐บ๐ฒ๐ป๐:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.
โค ๐ฃ๐ฟ๐ผ๐ฝ๐ผ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?
โค ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ผ๐น๐ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโs clear whether you were leading the project, a key player, or supporting the team.
โค ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ผ๐ผ๐น๐:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.
โค ๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got.
โค ๐ง๐ฒ๐ฎ๐บ ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโs success?
โค ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐:
- Reflect on what you learned from the project. What new skills did you gain, and what would you do differently next time?
โค ๐ง๐ถ๐ฝ๐ ๐ณ๐ผ๐ฟ ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- If thereโs a pause after you describe the project, donโt hesitate to ask if theyโd like more details or if thereโs a specific part theyโre interested in.
By preparing your project details thoroughly and understanding what the interviewer is looking for, you can talk about your experience in a way that really showcases your skills and increases your chances of getting the job.
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
โค2
Complete DSA Roadmap
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| โโ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | โโ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | โ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | โ Bellman-Ford_Algorithm
| | |
| | โโ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | โ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | โโ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| โโ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| โโ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| โโ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| โโ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| โโ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| โโ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| โโ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| โโ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | โโ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | โโ Mobius_Function
| |
| โโ String_Algorithms
| |-- KMP_Algorithm
| โโ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| โโ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | โโ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | โ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | โ Bellman-Ford_Algorithm
| | |
| | โโ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | โ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | โโ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| โโ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| โโ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| โโ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| โโ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| โโ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| โโ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| โโ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| โโ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | โโ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | โโ Mobius_Function
| |
| โโ String_Algorithms
| |-- KMP_Algorithm
| โโ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
โค8
Here are some essential SQL tips for beginners ๐๐
โ Primary Key = Unique Key + Not Null constraint
โ To perform case insensitive search use UPPER() function ex. UPPER(customer_name) LIKE โA%Aโ
โ LIKE operator is for string data type
โ COUNT(*), COUNT(1), COUNT(0) all are same
โ All aggregate functions ignore the NULL values
โ Aggregate functions MIN, MAX, SUM, AVG, COUNT are for int data type whereas STRING_AGG is for string data type
โ For row level filtration use WHERE and aggregate level filtration use HAVING
โ UNION ALL will include duplicates where as UNION excludes duplicates
โ If the results will not have any duplicates, use UNION ALL instead of UNION
โ We have to alias the subquery if we are using the columns in the outer select query
โ Subqueries can be used as output with NOT IN condition.
โ CTEs look better than subqueries. Performance wise both are same.
โ When joining two tables , if one table has only one value then we can use 1=1 as a condition to join the tables. This will be considered as CROSS JOIN.
โ Window functions work at ROW level.
โ The difference between RANK() and DENSE_RANK() is that RANK() skips the rank if the values are the same.
โ EXISTS works on true/false conditions. If the query returns at least one value, the condition is TRUE. All the records corresponding to the conditions are returned.
Like for more ๐๐
โ Primary Key = Unique Key + Not Null constraint
โ To perform case insensitive search use UPPER() function ex. UPPER(customer_name) LIKE โA%Aโ
โ LIKE operator is for string data type
โ COUNT(*), COUNT(1), COUNT(0) all are same
โ All aggregate functions ignore the NULL values
โ Aggregate functions MIN, MAX, SUM, AVG, COUNT are for int data type whereas STRING_AGG is for string data type
โ For row level filtration use WHERE and aggregate level filtration use HAVING
โ UNION ALL will include duplicates where as UNION excludes duplicates
โ If the results will not have any duplicates, use UNION ALL instead of UNION
โ We have to alias the subquery if we are using the columns in the outer select query
โ Subqueries can be used as output with NOT IN condition.
โ CTEs look better than subqueries. Performance wise both are same.
โ When joining two tables , if one table has only one value then we can use 1=1 as a condition to join the tables. This will be considered as CROSS JOIN.
โ Window functions work at ROW level.
โ The difference between RANK() and DENSE_RANK() is that RANK() skips the rank if the values are the same.
โ EXISTS works on true/false conditions. If the query returns at least one value, the condition is TRUE. All the records corresponding to the conditions are returned.
Like for more ๐๐
โค4