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Bank management system using python complete source code https://inprogrammer.com/bank-management-sytem-using-python-complete-code/
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Full-Stack Web Developer Roadmap๐๐ฅ
โ Day 1-25: HTML, CSS, JS.
โ Day 26-40: React JS.
โ Day 41-55: Node JS & Express.
โ Day 56-70: MongoDB.
โ Day 71-90: Build Projects.
For More Informative Contents.
Don't Forget To React โค๏ธ
โ Day 1-25: HTML, CSS, JS.
โ Day 26-40: React JS.
โ Day 41-55: Node JS & Express.
โ Day 56-70: MongoDB.
โ Day 71-90: Build Projects.
For More Informative Contents.
Don't Forget To React โค๏ธ
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The <input> tag in HTML is used to collect user input in web forms. Here are some key points about it:
Versatile Usage โ Supports multiple input types like text, password, number, email, date, etc.
User Interaction โ Enables users to enter or select data for forms.
Customizable โ Can include attributes like placeholder, required, disabled, and readonly to control behavior.
Form Submission โ Works with the <form> tag to send user data to a server.
Validation Support โ Helps validate input using attributes like maxlength, pattern, min, and max.
Enhanced UX โ Improves usability with features like auto-focus, default values, and autocomplete.
For More Informative Contents.
Don't Forget To React โค๏ธ
Versatile Usage โ Supports multiple input types like text, password, number, email, date, etc.
User Interaction โ Enables users to enter or select data for forms.
Customizable โ Can include attributes like placeholder, required, disabled, and readonly to control behavior.
Form Submission โ Works with the <form> tag to send user data to a server.
Validation Support โ Helps validate input using attributes like maxlength, pattern, min, and max.
Enhanced UX โ Improves usability with features like auto-focus, default values, and autocomplete.
For More Informative Contents.
Don't Forget To React โค๏ธ
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Data Analyst Interview Questions.pdf
2.8 MB
Data Analyst Notes ๐
Don't Forget To React โค๏ธ
Don't Forget To React โค๏ธ
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Git Commands
๐ git init โ Initialize a new Git repository
๐ฅ git clone <repo> โ Clone a repository
๐ git status โ Check the status of your repository
โ git add <file> โ Add a file to the staging area
๐ git commit -m "message" โ Commit changes with a message
๐ git push โ Push changes to a remote repository
โฌ๏ธ git pull โ Fetch and merge changes from a remote repository
Branching
๐ git branch โ List all branches
๐ฑ git branch <name> โ Create a new branch
๐ git checkout <branch> โ Switch to a branch
๐ git merge <branch> โ Merge a branch into the current branch
โก๏ธ git rebase <branch> โ Apply commits on top of another branch
Undo & Fix Mistakes
โช git reset --soft HEAD~1 โ Undo the last commit but keep changes
โ git reset --hard HEAD~1 โ Undo the last commit and discard changes
๐ git revert <commit> โ Create a new commit that undoes a specific commit
Logs & History
๐ git log โ Show commit history
๐ git log --oneline --graph --all โ View commit history in a simple graph
Stashing
๐ฅ git stash โ Save changes without committing
๐ญ git stash pop โ Apply stashed changes and remove them from stash
Remote & Collaboration
๐ git remote -v โ View remote repositories
๐ก git fetch โ Fetch changes without merging
๐ต๏ธ git diff โ Compare changes
Donโt forget to react โค๏ธ if youโd like to see more content like this!
๐ git init โ Initialize a new Git repository
๐ฅ git clone <repo> โ Clone a repository
๐ git status โ Check the status of your repository
โ git add <file> โ Add a file to the staging area
๐ git commit -m "message" โ Commit changes with a message
๐ git push โ Push changes to a remote repository
โฌ๏ธ git pull โ Fetch and merge changes from a remote repository
Branching
๐ git branch โ List all branches
๐ฑ git branch <name> โ Create a new branch
๐ git checkout <branch> โ Switch to a branch
๐ git merge <branch> โ Merge a branch into the current branch
โก๏ธ git rebase <branch> โ Apply commits on top of another branch
Undo & Fix Mistakes
โช git reset --soft HEAD~1 โ Undo the last commit but keep changes
โ git reset --hard HEAD~1 โ Undo the last commit and discard changes
๐ git revert <commit> โ Create a new commit that undoes a specific commit
Logs & History
๐ git log โ Show commit history
๐ git log --oneline --graph --all โ View commit history in a simple graph
Stashing
๐ฅ git stash โ Save changes without committing
๐ญ git stash pop โ Apply stashed changes and remove them from stash
Remote & Collaboration
๐ git remote -v โ View remote repositories
๐ก git fetch โ Fetch changes without merging
๐ต๏ธ git diff โ Compare changes
Donโt forget to react โค๏ธ if youโd like to see more content like this!
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Stanfordโs Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
A complete lecture notes of 227 pages. Available Free.
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DSA in Python Handwritten Notes.pdf
22.4 MB
Handwritten DSA Notes in Python ๐๐
Perfect for quick revision and solid understanding!
๐ React if you find it helpful โ more coming soon!
Perfect for quick revision and solid understanding!
๐ React if you find it helpful โ more coming soon!
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70 Interview Q&A.pdf
1.1 MB
70 Toughest Interview Questions And answers
React โค๏ธ If You Find This Helpful
React โค๏ธ If You Find This Helpful
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HTML Tags List.pdf
115.1 KB
๐ฐ HTML Tags List ๐
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Do not forget to React โค๏ธ to this Message for More Content Like this
Thanks For Joining All โค๏ธ๐
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๐ฅ Master These 30 Algorithms to Boost Your Coding Skills! ๐
- Binary Search ๐ต๏ธโโ๏ธ
- Quick Sort โก
- Merge Sort ๐
- Heap Sort ๐ฐ
- BFS ๐
- DFS ๐ฒ
- Dijkstraโs Shortest Path ๐
- Bellman-Ford ๐ฆ
- Floyd-Warshall ๐
- Kruskalโs Minimum Spanning Tree ๐ณ
- Primโs Algorithm ๐ฟ
- KMP Pattern Matching ๐
- Rabin-Karp Search ๐งฎ
- Dynamic Programming ๐ง
- Kadaneโs Max Subarray Sum ๐ฅ
- Floydโs Cycle Detection ๐
- Topological Sort ๐๏ธ
- Backtracking ๐ฏ
- Binary Tree Traversals ๐ณ
- Segment Tree ๐
- Union-Find Disjoint Set ๐
- Greedy Algorithms ๐ฏ
- Bit Manipulation ๐ก
- Sliding Window โฑ๏ธ
- Two Pointers ๐
- Hashing ๐
- Recursion ๐
- Divide & Conquer โ๏ธ
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Master these, ace interviews, and become a problem-solving pro! ๐ช๐ฅ
***
- Binary Search ๐ต๏ธโโ๏ธ
- Quick Sort โก
- Merge Sort ๐
- Heap Sort ๐ฐ
- BFS ๐
- DFS ๐ฒ
- Dijkstraโs Shortest Path ๐
- Bellman-Ford ๐ฆ
- Floyd-Warshall ๐
- Kruskalโs Minimum Spanning Tree ๐ณ
- Primโs Algorithm ๐ฟ
- KMP Pattern Matching ๐
- Rabin-Karp Search ๐งฎ
- Dynamic Programming ๐ง
- Kadaneโs Max Subarray Sum ๐ฅ
- Floydโs Cycle Detection ๐
- Topological Sort ๐๏ธ
- Backtracking ๐ฏ
- Binary Tree Traversals ๐ณ
- Segment Tree ๐
- Union-Find Disjoint Set ๐
- Greedy Algorithms ๐ฏ
- Bit Manipulation ๐ก
- Sliding Window โฑ๏ธ
- Two Pointers ๐
- Hashing ๐
- Recursion ๐
- Divide & Conquer โ๏ธ
- Graph Coloring ๐จ
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Master these, ace interviews, and become a problem-solving pro! ๐ช๐ฅ
***
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โ
Python Interview Questions with Answers ๐งโ๐ป๐ฉโ๐ป
1๏ธโฃ Write a function to remove outliers from a list using IQR.
2๏ธโฃ Convert a nested list to a flat list.
3๏ธโฃ Read a CSV file and count rows with nulls.
4๏ธโฃ How do you handle missing data in pandas?
โฆ Drop missing rows: df.dropna()
โฆ Fill missing values: df.fillna(value)
โฆ Check missing data: df.isnull().sum()
5๏ธโฃ Explain the difference between loc[] and iloc[].
โฆ loc[]: Label-based indexing (e.g., row/column names)
Example: df.loc[0, 'Name']
โฆ iloc[]: Position-based indexing (e.g., row/column numbers)
Example: df.iloc
๐ฌ Tap โค๏ธ for more!
1๏ธโฃ Write a function to remove outliers from a list using IQR.
import numpy as np
def remove_outliers(data):
q1 = np.percentile(data, 25)
q3 = np.percentile(data, 75)
iqr = q3 - q1
lower = q1 - 1.5 * iqr
upper = q3 + 1.5 * iqr
return [x for x in data if lower <= x <= upper]
2๏ธโฃ Convert a nested list to a flat list.
nested = [[1, 2], [3, 4],]
flat = [item for sublist in nested for item in sublist]
3๏ธโฃ Read a CSV file and count rows with nulls.
import pandas as pd
df = pd.read_csv('data.csv')
null_rows = df.isnull().any(axis=1).sum()
print("Rows with nulls:", null_rows)
4๏ธโฃ How do you handle missing data in pandas?
โฆ Drop missing rows: df.dropna()
โฆ Fill missing values: df.fillna(value)
โฆ Check missing data: df.isnull().sum()
5๏ธโฃ Explain the difference between loc[] and iloc[].
โฆ loc[]: Label-based indexing (e.g., row/column names)
Example: df.loc[0, 'Name']
โฆ iloc[]: Position-based indexing (e.g., row/column numbers)
Example: df.iloc
๐ฌ Tap โค๏ธ for more!
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๐ฅ Start your programming journey with PythonAdvisor today.
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๐ Welcome to PythonAdvisor โ your ultimate hub for mastering Python programming and AI technologies!
๐จโ๐ป Whether youโre a beginner or an advanced developer, join our community for:
โข Daily Python tutorials and coding tips
โข Latest AI insights and projects
โข Interactive quizzes and challenges
โข Support from fellow learners and experts
๐ฅ Start your programming journey with PythonAdvisor today.
Subscribe now and unlock the power of coding!
๐ Join us on Telegram: [https://t.me/pythonadvisor]
#Python #AI #Programming #LearnPython #PythonAdvisor
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Get started with Python quickly using this easy cheatsheet! ๐
From comments and operators to data structures, loops, and file handling, this guide covers the most useful Python basics, making coding faster and simpler for beginners and pros alike. Save this post and level up your Python journey!
For more tips, follow and share with friends interested in learning Python!
Check out WhatsApp channels for more updates. ๐
https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26
From comments and operators to data structures, loops, and file handling, this guide covers the most useful Python basics, making coding faster and simpler for beginners and pros alike. Save this post and level up your Python journey!
For more tips, follow and share with friends interested in learning Python!
Check out WhatsApp channels for more updates. ๐
https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26
PYTHONADVISOR pinned ยซFREE FREE FREE FREE FREE ๐ Welcome to PythonAdvisor โ your ultimate hub for mastering Python programming and AI technologies! ๐จโ๐ป Whether youโre a beginner or an advanced developer, join our community for: โข Daily Python tutorials and coding tips โข Latestโฆยป
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๐ Welcome to PythonAdvisor โ your ultimate hub for mastering Python programming and AI technologies!
๐จโ๐ป Whether youโre a beginner or an advanced developer, join our community for:
โข Daily Python tutorials and coding tips
โข FREE FREE FREE FREE
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๐ Join us on Telegram: [https://t.me/pythonadvisor]
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