LEGEND Form Project ๐
๐
-----------------------------------------------------
Complete Source Code ๐
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
-----------------------------------------------------
Complete Source Code ๐
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
๐4๐ฅ1
10 Coding Project Ideas to Boost Your Portfolio
โ To-Do List App โ Practice CRUD operations and UI/UX basics
โ Weather App (API) โ Learn to work with real-time APIs
โ Blog Website โ Build full-stack with auth, CMS, and comments
โ Portfolio Website โ Showcase your skills and projects professionally
โ Expense Tracker โ Handle forms, charts, and local storage
โ Chat App โ Real-time messaging using WebSockets or Firebase
โ Movie Recommendation System โ Intro to ML with collaborative filtering
โ E-commerce Store โ Simulate cart, checkout, payment logic
โ SQL Dashboard with Power BI/Tableau โ Combine backend + data viz skills
โ AI Chatbot โ Use NLP libraries like spaCy or transformers
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
ENJOY LEARNING ๐๐
โ To-Do List App โ Practice CRUD operations and UI/UX basics
โ Weather App (API) โ Learn to work with real-time APIs
โ Blog Website โ Build full-stack with auth, CMS, and comments
โ Portfolio Website โ Showcase your skills and projects professionally
โ Expense Tracker โ Handle forms, charts, and local storage
โ Chat App โ Real-time messaging using WebSockets or Firebase
โ Movie Recommendation System โ Intro to ML with collaborative filtering
โ E-commerce Store โ Simulate cart, checkout, payment logic
โ SQL Dashboard with Power BI/Tableau โ Combine backend + data viz skills
โ AI Chatbot โ Use NLP libraries like spaCy or transformers
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
ENJOY LEARNING ๐๐
โค5๐2
2 VERY IMPORTANT MISAKES to avoid for job seekers
Trying or struggling to get Interview Calls
Let me summarise.
Many job applicants for analytics roles (also applicable for other roles) often get frustrated with receiving no interview calls DESPITE putting a lot of good projects, certifications and even their prior experience.
There are probably 2 key yet common mistakes you could be making during your application:
๐. ๐๐จ๐ฎ๐ซ ๐๐๐ฌ๐ฎ๐ฆ๐ ๐๐ฌ๐ง'๐ญ ๐๐๐ข๐ฅ๐จ๐ซ๐๐ ๐ ๐จ๐ซ ๐๐ก๐ ๐๐จ๐ฅ๐
- Companies use an ATS to scan for relevant profiles amongst 100 of applications based on finding relevant key words.
- Ensure you update your resume to include the skills they're looking for.
- This will increase the chance of the ATS picking up on your resume.
๐. ๐๐ฎ๐ข๐ฅ๐ ๐๐จ๐ฎ๐ซ ๐๐ข๐ง๐ค๐๐๐๐ง ๐๐ซ๐จ๐๐ข๐ฅ๐ & ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ- - - - - If your resume reaches the technical/hiring team - they'll want to get more information about you.
- Their Next Stop - YOUR LINKEDIN PROFILE
- Update your certifications/skills & upload your key projects.
- Be Active and Share Your Learnings.
- This builds your credibility in their eyes
Remember....
You're competing against large pool of equally or more talented individuals like yourself.
On A Technical And Accomplishment level, you might on par with others.
Then it goes down to who can stand out from the rest.
Luck can play a huge role, but so can being strategic in your application.
Leave no stone unturned.
Join our WhatsApp channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Trying or struggling to get Interview Calls
Let me summarise.
Many job applicants for analytics roles (also applicable for other roles) often get frustrated with receiving no interview calls DESPITE putting a lot of good projects, certifications and even their prior experience.
There are probably 2 key yet common mistakes you could be making during your application:
๐. ๐๐จ๐ฎ๐ซ ๐๐๐ฌ๐ฎ๐ฆ๐ ๐๐ฌ๐ง'๐ญ ๐๐๐ข๐ฅ๐จ๐ซ๐๐ ๐ ๐จ๐ซ ๐๐ก๐ ๐๐จ๐ฅ๐
- Companies use an ATS to scan for relevant profiles amongst 100 of applications based on finding relevant key words.
- Ensure you update your resume to include the skills they're looking for.
- This will increase the chance of the ATS picking up on your resume.
๐. ๐๐ฎ๐ข๐ฅ๐ ๐๐จ๐ฎ๐ซ ๐๐ข๐ง๐ค๐๐๐๐ง ๐๐ซ๐จ๐๐ข๐ฅ๐ & ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ- - - - - If your resume reaches the technical/hiring team - they'll want to get more information about you.
- Their Next Stop - YOUR LINKEDIN PROFILE
- Update your certifications/skills & upload your key projects.
- Be Active and Share Your Learnings.
- This builds your credibility in their eyes
Remember....
You're competing against large pool of equally or more talented individuals like yourself.
On A Technical And Accomplishment level, you might on par with others.
Then it goes down to who can stand out from the rest.
Luck can play a huge role, but so can being strategic in your application.
Leave no stone unturned.
Join our WhatsApp channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐2
๐ Top 10 Tools Data Scientists Love! ๐ง
In the ever-evolving world of data science, staying updated with the right tools is crucial to solving complex problems and deriving meaningful insights.
๐ Hereโs a quick breakdown of the most popular tools:
1. Python ๐: The go-to language for data science, favored for its versatility and powerful libraries.
2. SQL ๐ ๏ธ: Essential for querying databases and manipulating data.
3. Jupyter Notebooks ๐: An interactive environment that makes data analysis and visualization a breeze.
4. TensorFlow/PyTorch ๐ค: Leading frameworks for deep learning and neural networks.
5. Tableau ๐: A user-friendly tool for creating stunning visualizations and dashboards.
6. Git & GitHub ๐ป: Version control systems that every data scientist should master.
7. Hadoop & Spark ๐ฅ: Big data frameworks that help process massive datasets efficiently.
8. Scikit-learn ๐งฌ: A powerful library for machine learning in Python.
9. R ๐: A statistical programming language that is still a favorite among many analysts.
10. Docker ๐: A must-have for containerization and deploying applications.
I have curated the best interview resources to crack Data Science Interviews
๐๐
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Like if you need similar content ๐๐
In the ever-evolving world of data science, staying updated with the right tools is crucial to solving complex problems and deriving meaningful insights.
๐ Hereโs a quick breakdown of the most popular tools:
1. Python ๐: The go-to language for data science, favored for its versatility and powerful libraries.
2. SQL ๐ ๏ธ: Essential for querying databases and manipulating data.
3. Jupyter Notebooks ๐: An interactive environment that makes data analysis and visualization a breeze.
4. TensorFlow/PyTorch ๐ค: Leading frameworks for deep learning and neural networks.
5. Tableau ๐: A user-friendly tool for creating stunning visualizations and dashboards.
6. Git & GitHub ๐ป: Version control systems that every data scientist should master.
7. Hadoop & Spark ๐ฅ: Big data frameworks that help process massive datasets efficiently.
8. Scikit-learn ๐งฌ: A powerful library for machine learning in Python.
9. R ๐: A statistical programming language that is still a favorite among many analysts.
10. Docker ๐: A must-have for containerization and deploying applications.
I have curated the best interview resources to crack Data Science Interviews
๐๐
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Like if you need similar content ๐๐
๐2
Python Interview Questions โ Part 1
1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.
2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.
3. What is the difference between a list and a tuple?
List is mutable, can be modified.
Tuple is immutable, cannot be changed after creation.
4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.
5. What is the output of this code?
x = [1, 2, 3]
print(x * 2)
Answer: [1, 2, 3, 1, 2, 3]
6. Write a Python program to check if a number is even or odd.
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
7. What is a Python dictionary?
A collection of key-value pairs. Example:
person = {"name": "Alice", "age": 25}
8. Write a function to return the square of a number.
def square(n):
return n * n
Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING ๐๐
1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.
2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.
3. What is the difference between a list and a tuple?
List is mutable, can be modified.
Tuple is immutable, cannot be changed after creation.
4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.
5. What is the output of this code?
x = [1, 2, 3]
print(x * 2)
Answer: [1, 2, 3, 1, 2, 3]
6. Write a Python program to check if a number is even or odd.
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
7. What is a Python dictionary?
A collection of key-value pairs. Example:
person = {"name": "Alice", "age": 25}
8. Write a function to return the square of a number.
def square(n):
return n * n
Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING ๐๐
๐5๐ฅ3โค1
Software development is complex, and the fancy names don't help.
Hashing vs. Encryption vs. Encoding
๐๐ฎ๐๐ต๐ถ๐ป๐ด
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
๐๐ป๐ฐ๐ฟ๐๐ฝ๐๐ถ๐ผ๐ป
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
๐๐ป๐ฐ๐ผ๐ฑ๐ถ๐ป๐ด
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
โข Base64
โข UTF-8
โข ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
Hashing vs. Encryption vs. Encoding
๐๐ฎ๐๐ต๐ถ๐ป๐ด
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
๐๐ป๐ฐ๐ฟ๐๐ฝ๐๐ถ๐ผ๐ป
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
๐๐ป๐ฐ๐ผ๐ฑ๐ถ๐ป๐ด
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
โข Base64
โข UTF-8
โข ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
๐4