Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd 𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh 𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5 Enroll for FREE & Get Certified 🎓

𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Looking to master SQL for Data Analytics or prep for your dream tech job? 💼 These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3TcvfsA 💥 Start learning today and build the skills top companies want!✅️

Python CheatSheet 📚 ✅ 1. Basic Syntax - Print Statement: print("Hello, World!") - Comments: # This is a comment 2. Data Types - Integer: x = 10 - Float: y = 10.5 - String: name = "Alice" - List: fruits = ["apple", "banana", "cherry"] - Tuple: coordinates = (10, 20) - Dictionary: person = {"name": "Alice", "age": 25} 3. Control Structures - If Statement:

     if x > 10:
         print("x is greater than 10")
     

- For Loop:

     for fruit in fruits:
         print(fruit)
     

- While Loop:

     while x < 5:
         x += 1
     

4. Functions - Define Function:

     def greet(name):
         return f"Hello, {name}!"
     

- Lambda Function: add = lambda a, b: a + b 5. Exception Handling - Try-Except Block:

     try:
         result = 10 / 0
     except ZeroDivisionError:
         print("Cannot divide by zero.")
     

6. File I/O - Read File:

     with open('file.txt', 'r') as file:
         content = file.read()
     

- Write File:

     with open('file.txt', 'w') as file:
         file.write("Hello, World!")
     

7. List Comprehensions - Basic Example: squared = [x**2 for x in range(10)] - Conditional Comprehension: even_squares = [x**2 for x in range(10) if x % 2 == 0] 8. Modules and Packages - Import Module: import math - Import Specific Function: from math import sqrt 9. Common Libraries - NumPy: import numpy as np - Pandas: import pandas as pd - Matplotlib: import matplotlib.pyplot as plt 10. Object-Oriented Programming - Define Class:

      class Dog:
          def __init__(self, name):
              self.name = name
          def bark(self):
              return "Woof!"
      

11. Virtual Environments - Create Environment: python -m venv myenv - Activate Environment: - Windows: myenv\Scripts\activate - macOS/Linux: source myenv/bin/activate 12. Common Commands - Run Script: python script.py - Install Package: pip install package_name - List Installed Packages: pip list This Python checklist serves as a quick reference for essential syntax, functions, and best practices to enhance your coding efficiency! Checklist for Data Analyst: https://dataanalytics.beehiiv.com/p/data Here you can find essential Python Interview Resources👇 https://t.me/DataSimplifier Like for more resources like this 👍 ♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍 Learn Full Stack Development | Data Analytics & Data Science  Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 60+ Hiring Drives Every Month 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-  🌟 500+ Hiring Partners 🤝Trusted by 7500+ Students  💼 Avg. Rs. 7.2 LPA 🚀 41 LPA Highest Package 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸  :- https://pdlink.in/4hO7rWY 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://bit.ly/4g3kyT6 Hurry, limited seats available!🏃‍♀️

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 👍👍

𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!😍 You don’t need a degree or pay lakhs to start a career in web development! 💸❌ These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jCAtJ5 📌 Save this post & tag a friend who’s ready to switch to tech!

Fullstack Developer Skills & Technologies

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴  𝟮𝘆𝗿+ 𝗘𝘅𝗽 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀 😍 Siemens :- https://pdlink.in/4kPP6tx JP Morgan :- https://pdlink.in/3Frgm2C Orange :- https://pdlink.in/43yatKg PhonePe :- https://pdlink.in/4kOTfOj Oracle :- https://pdlink.in/4kQLFCU Walmart :- https://pdlink.in/4kreO7J Amazon :- https://pdlink.in/4jzo88g Apply before the link expires💫

Python Functions 👆

𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗺𝗮𝘇𝗼𝗻 𝗗𝗮𝘁𝗮 𝗥𝗼𝗹𝗲? 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗧𝗼𝗽 𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀😍 💼 Why SQL Is Crucial for Amazon Interviews🗣 If you’re applying for a data analyst, data engineer, or business analyst role at Amazon, expect SQL to be a major part of the interview process👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jrLrRy Practicing real Amazon SQL interview questions is the key to success✅️

Software Developer Jobs available In Top MNCs 😍 Companies Hiring:-  - HSBC - Gainwell Technologies - McKinsey & Company - Deloitte Job Location:- Across India Expected Salary:- 9 To 24LPA 𝐀𝐩𝐩𝐥𝐲 𝐧𝐨𝐰👇:- https://shorturl.at/UvOIp Register now upload your resume, and apply to the desired opportunities Once you get shortlisted, you will receive a call from HR

Tools & Tech Every Developer Should Know ⚒️👨🏻‍💻 ❯ VS Code ➟ Lightweight, Powerful Code Editor ❯ Postman ➟ API Testing, Debugging ❯ Docker ➟ App Containerization ❯ Kubernetes ➟ Scaling & Orchestrating Containers ❯ Git ➟ Version Control, Team Collaboration ❯ GitHub/GitLab ➟ Hosting Code Repos, CI/CD ❯ Figma ➟ UI/UX Design, Prototyping ❯ Jira ➟ Agile Project Management ❯ Slack/Discord ➟ Team Communication ❯ Notion ➟ Docs, Notes, Knowledge Base ❯ Trello ➟ Task Management ❯ Zsh + Oh My Zsh ➟ Advanced Terminal Experience ❯ Linux Terminal ➟ DevOps, Shell Scripting ❯ Homebrew (macOS) ➟ Package Manager ❯ Anaconda ➟ Python & Data Science Environments ❯ Pandas ➟ Data Manipulation in Python ❯ NumPy ➟ Numerical Computation ❯ Jupyter Notebooks ➟ Interactive Python Coding ❯ Chrome DevTools ➟ Web Debugging ❯ Firebase ➟ Backend as a Service ❯ Heroku ➟ Easy App Deployment ❯ Netlify ➟ Deploy Frontend Sites ❯ Vercel ➟ Full-Stack Deployment for Next.js ❯ Nginx ➟ Web Server, Load Balancer ❯ MongoDB ➟ NoSQL Database ❯ PostgreSQL ➟ Advanced Relational Database ❯ Redis ➟ Caching & Fast Storage ❯ Elasticsearch ➟ Search & Analytics Engine ❯ Sentry ➟ Error Monitoring ❯ Jenkins ➟ Automate CI/CD Pipelines ❯ AWS/GCP/Azure ➟ Cloud Services & Deployment ❯ Swagger ➟ API Documentation ❯ SASS/SCSS ➟ CSS Preprocessors ❯ Tailwind CSS ➟ Utility-First CSS Framework React ❤️ if you found this helpful Coding Jobs: https://whatsapp.com/channel/0029VatL9a22kNFtPtLApJ2L

MEE6 in Telegram 🔥 🤖 T22 - The best-in-class telegram group bot! Stop juggling bots —T22 is MissRose x GroupHelp x Safeguard with a mini-app dashboard! 🔐 Verification & Captcha 🛡 Advanced Moderation Tools   📈 Leveling System 💬 Smart Welcome Flows 🐦 Twitter Raids 🧠 Mini-App Dashboard 📦 Miss Rose Config Importer Discover T22 🆓 By MEE6 Creator

Ad 👇👇

Hi guys, Now you can directly find job opportunities on WhatsApp. Here is the list of top job related channels on WhatsApp 👇 Latest Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 Python & AI Jobs: https://whatsapp.com/channel/0029VaxtmHsLikgJ2VtGbu1R Software Engineer Jobs: https://whatsapp.com/channel/0029VatL9a22kNFtPtLApJ2L Data Science Jobs: https://whatsapp.com/channel/0029VaxTMmQADTOA746w7U2P Data Analyst Jobs: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J Web Developer Jobs: https://whatsapp.com/channel/0029Vb1raTiDjiOias5ARu2p Remote Jobs: https://whatsapp.com/channel/0029Vb1RrFuC1Fu3E0aiac2E Google Jobs: https://whatsapp.com/channel/0029VaxngnVInlqV6xJhDs3m Hope it helps :)

🎓 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, 𝗠𝗜𝗧 & 𝗚𝗼𝗼𝗴𝗹𝗲😍 Why pay thousands when you can access world-class Computer Science courses for free? 🌐 Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨‍🎓📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3ZyQpFd Perfect for students, self-learners, and career switchers✅️

How to master Python from scratch🚀 1. Setup and Basics 🏁    - Install Python 🖥️: Download Python and set it up.    - Hello, World! 🌍: Write your first Hello World program. 2. Basic Syntax 📜    - Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.    - Control Structures 🔄: Understand if-else statements, for loops, and while loops.    - Functions 🛠️: Write reusable blocks of code. 3. Data Structures 📂    - Lists 📋: Manage collections of items.    - Dictionaries 📖: Store key-value pairs.    - Tuples 📦: Work with immutable sequences.    - Sets 🔢: Handle collections of unique items. 4. Modules and Packages 📦    - Standard Library 📚: Explore built-in modules.    - Third-Party Packages 🌐: Install and use packages with pip. 5. File Handling 📁    - Read and Write Files 📝    - CSV and JSON 📑 6. Object-Oriented Programming 🧩    - Classes and Objects 🏛️    - Inheritance and Polymorphism 👨‍👩‍👧 7. Web Development 🌐    - Flask 🍼: Start with a micro web framework.    - Django 🦄: Dive into a full-fledged web framework. 8. Data Science and Machine Learning 🧠    - NumPy 📊: Numerical operations.    - Pandas 🐼: Data manipulation and analysis.    - Matplotlib 📈 and Seaborn 📊: Data visualization.    - Scikit-learn 🤖: Machine learning. 9. Automation and Scripting 🤖    - Automate Tasks 🛠️: Use Python to automate repetitive tasks.    - APIs 🌐: Interact with web services. 10. Testing and Debugging 🐞     - Unit Testing 🧪: Write tests for your code.     - Debugging 🔍: Learn to debug efficiently. 11. Advanced Topics 🚀     - Concurrency and Parallelism 🕒     - Decorators 🌀 and Generators ⚙️     - Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy. 12. Practice Projects 💡     - Calculator 🧮     - To-Do List App 📋     - Weather App ☀️     - Personal Blog 📝 13. Community and Collaboration 🤝     - Contribute to Open Source 🌍     - Join Coding Communities 💬     - Participate in Hackathons 🏆 14. Keep Learning and Improving 📈     - Read Books 📖: Like "Automate the Boring Stuff with Python".     - Watch Tutorials 🎥: Follow video courses and tutorials.     - Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars. 15. Teach and Share Knowledge 📢     - Write Blogs ✍️     - Create Video Tutorials 📹     - Mentor Others 👨‍🏫 I have curated the best interview resources to crack Python Interviews 👇👇 https://topmate.io/coding/898340 Hope you'll like it Like this post if you need more resources like this 👍❤️

𝗪𝗼𝗿𝗸 𝗙𝗿𝗼𝗺 𝗛𝗼𝗺𝗲 𝗝𝗼𝗯 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗕𝗿𝗮𝗻𝗱!😍  Role: SEPO - Transaction Risk Investigator  Salary: ₹3.2–₹4 LPA Eligibility: All graduates are welcome  Location:- Work From Home 𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸👇:- https://pdlink.in/4mGpCAn Apply before the link expires💫 ✅ Take a quick online assessment to get started!