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B Tech Coding Wala provides: 📍FREE Courses with certificates 📍Job/Internship Updates 📍Roadmaps with Sources 📍Mini Projects with source code 📍Programming Quiz With Certificates 📍Open source contribution 📍Hackathons and other event

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https://mega.nz/folder/0QVGjDBY#hYNLkXYwEskPeLueq82jJg Geeks for Geeks course Python with DSA https://mega.nz/folder/Nr5gwBIB#QyQ0ghN3nLzQ316uuHyZ1Q https://mega.nz/folder/krhzyJTJ#P-rtq7AQfK3isXnUYkSJEQ Python https://mega.nz/folder/duoniATb#1Q1T7WNm-gJFEKh5OLrV0w Computer networks /DBMS/OS https://mega.nz/folder/9zA1ERxT#S9Wuf9WA7DYHVaBsm6WQHg https://mega.nz/folder/gqx1wYqb#LnObSU-DtluZFqASWtw2KQ Coding Ninja courses https://mega.nz/folder/QqYjwaDJ#e8fAlBLGocz4b4g3gP0nnA PentesterAcademy - Python For Pentesters, by Vivek Ramachandran password :server_z https://mega.nz/folder/q9kmnKaJ#qB9r6KJMdb6nCO9iOvtEmA https://mega.nz/folder/4BIG0ToK#7Wb51Uj0YOvwfJ4vFa2RTg IELTS: https://mega.nz/folder/G9gxXQ6a#F0By_xyreF8gsueS3CsJYg/folder/L1IgkT4C Scalar academy DSA course: https://mega.nz/folder/0YBnCIYD#pmuh5JOu9tDtHtdiTCvDUg Full Devlopment:   https://mega.nz/folder/6pQDkQ6Z#mtiF9vmoiubjzefax1e6hw CAT preparation material: https://mega.nz/folder/yRx2WCaD#3bRk2-8vYHXLs_aKt3Tc6A Machine Learning course https://drive.google.com/folderview?id=1ZvVV0kmaCyEBwRglpvVTuls8cyq-fZOJ Deep learning course https://drive.google.com/folderview?id=1IBIJItPX3L18Kfq-qWG8dG4Nua4Tkotu Data science course https://drive.google.com/folderview?id=1Yop-uzSeiGrt5Vygjq5X5MQLnVEkjmzW Machine Learning for Big Data course https://drive.google.com/folderview?id=1XWbI9wl6fUFQ57pDoXBQYsL7TNV8mOVI NLP course https://drive.google.com/folderview?id=1sSIX6YPi_3P2vbzSJe6Xpj-nm2qMwafR MACHINE LEARNING LIVE LED SESSION TRAINING Machine Learning session 1: https://drive.google.com/file/d/0B6ZYkhJgGD6XUEtUUEhCb1R5VjA/view?usp=sharing Machine Learning Session 2: https://drive.google.com/file/d/0B6ZYkhJgGD6XYXhTdXV2Nl8zS28/view?usp=sharing Machine Learning Session 3: https://drive.google.com/file/d/1PwO4GrVtrOZU8qOhXOaSPVfvMKgqudRj/view?usp=sharing Machine Learning Session 4: https://drive.google.com/file/d/1L4pTJqiF_8gdXoT1Hp7GhuuVrQ2nKb0k/view?usp=sharing Machine Learning Session 5: https://drive.google.com/file/d/1WbarDTUvFEoBRVlzzKqaTiW-yVMxl5kM/view?usp=sharing Machine Learning Session 6: https://drive.google.com/file/d/1u0hJnQ0a4SvMLDg1SyDVQmrYn53okrXG/view?usp=sharing Machine Learning Session 7: https://drive.google.com/file/d/1a75Xs601WBIdYTiG_aX3_XN25IPk_K0V/view?usp=sharing Machine Learning Session 8: https://drive.google.com/file/d/1yti3Vh-lMybeqnF_96G9TEwiiaNP-gs9/view?usp=sharing Machine Learning Session 9: --Hi 8th session ending, 10 th session begining is same. Machine Learning Session 10: https://drive.google.com/file/d/1yP2TZJ2vlM0YOwbLZnqEl5F76PCOMs2f/view?usp=sharing Machine Learning Session 11: https://drive.google.com/file/d/1qw7tOa56d1VSzA8gjRE7SqU2-ehfoINf/view?usp=sharing Machine Learning Session 12: https://drive.google.com/file/d/1X_oYPl371Mr5TXMOHIr2kz-E4CuybcEs/view?usp=sharing Machine Learning Session 13: https://drive.google.com/file/d/1v24y-TaASY2aO1Wg8AvpmFgGqUzmQTvF/view?usp=sharing Machine Learning Session 14: https://drive.google.com/file/d/1ku57ktvAQTks8lFEdFIx-djXcM3ZA8ym/view?usp=sharing Machine Learning Session 15: https://drive.google.com/file/d/1fSS4FWXhWwd7VCkfom6dPmEzyQyOQjDo/view?usp=sharing Machine Learning Session 16: https://drive.google.com/file/d/1sFJbpiR0oUtug8RIkfMeJYODk4_sTzNC/view?usp=sharing Machine Learning Session 17: https://drive.google.com/file/d/1VjngOqQO0rwI0yYUwloU2R9-CUAwbNgy/view?usp=sharing Machine Learning Session 18: https://drive.google.com/file/d/1bRhyLrQfIjDd8O1EeYEvf0sCydb3aatE/view?usp=sharing Machine Learning Session 19: https://drive.google.com/file/d/191GXly1xPZXYjoZUbdwRZSv-gjpFkvpm/view?usp=sharing Machine Learning Session 20: https://drive.google.com/file/d/1ivqk_EwPW8iMnRyDi3Rpnm3ZljSCBowG/view?usp=sharing Machine Learning Session 21: https://drive.google.com/file/d/1eOK8D77RHBZR6NPfmxU3ieC3WYjR84RX/view?usp=sharing Machine Learning Session 22: https://drive.google.com/file/d/1SYGTpKJkMvAOrExESXoFxEjh4Jma5zAa/view?usp=sharing https://mega.nz/folder/twhg2JyC#6QOZ08iLG_enCZfRZu8hJA Vivek bindra:  https://mega.nz/folder/iWAWVaIb#h-_F4jhOoDoZ-8vD-4SHlQ

Take a look at my Canva design!
Take a look at my Canva design!

By joining the TechA Inter program, you'll not only boost your technical expertise but also develop critical soft skills, inc
By joining the TechA Inter program, you'll not only boost your technical expertise but also develop critical soft skills, including problem-solving, time management, and adaptability. These skills will be invaluable as you navigate your future career in the rapidly evolving tech landscape. https://www.linkedin.com/company/tech-a-intern/

We are excited to announce our collaboration with Tech-A-Intern, a groundbreaking startup company that offers free virtual internships in various domains. This partnership aims to empower aspiring professionals by providing them with valuable hands-on experience and industry exposure, all from the convenience of their own homes Tech-A-Intern innovative platform revolutionizes the traditional internship model by leveraging cutting-edge technology to create immersive virtual internship experiences. Participants will have the opportunity to work on real-world projects, gain practical skills, and learn from industry experts, all while maintaining the flexibility of remote work. With Tech-A-Intern, interns can choose from a wide range of domains to specialize in, including technology, marketing, design, business development, and more. This diverse selection ensures that individuals can explore their passions and develop expertise in their desired fields. Discover your passion, acquire real-world experience, and unlock endless possibilities—all through the power of virtual internships. Telegram - https://t.me/techaintern Instagram - https://www.instagram.com/techaintern LinkedIn - https://www.linkedin.com/company/tech-a-intern

_AI_Stanford_Super_#DeepLearning_Cheat_Sheet!_😊🙃😀🙃😊.pdf4.52 MB

Data Structure and Algorithm Notes-1.pdf5.50 MB

Introduction-to-C-Programming.pdf17.40 MB

devopss (2).pdf1.24 KB

Remote Working Companies 👉 (1) (1).pdf2.06 MB

Statistics -Course-Notes-365-Data-Science.pdf3.12 MB

GIT Cheat-Sheet.pdf8.24 KB

recursion notes.pdf11.52 MB

Complete DSA Guide -1.pdf1.58 MB

YOUTUBE CHANNEL TO LEARN DEVOPS ⭐️Note: This tutorial should be followed, the way I numbered it. COMPLETE DEVOPS TUTORIAL: 1. DevOps Pre-requisite https://lnkd.in/dD9Z_5qA 2. Networking https://lnkd.in/dEmZ8zhY https://lnkd.in/dwfmwmA9 3. Linux https://lnkd.in/d7gzxH5z https://lnkd.in/dr4pjCV3 https://lnkd.in/dzTQE4b7 4. Shell scripting https://lnkd.in/dKrD_up7 https://lnkd.in/dJVqMt3Y https://lnkd.in/d7VVbbNJ 5. Git & GitHub https://lnkd.in/dEp3KrTJ https://lnkd.in/d6aM7Ek7 https://lnkd.in/duksFRgG https://lnkd.in/ddpKXxqt 6. Databases https://lnkd.in/duMVr4bn https://lnkd.in/dnUQ_uGe 7. Artifact Repository Manager https://lnkd.in/dgNHs7WD 8. Docker https://lnkd.in/dPddbJTf https://lnkd.in/dnjHdxPR 9. Jenkins https://lnkd.in/dMHv9T8U https://lnkd.in/dcynPYYH 10. AWS https://lnkd.in/dz7d5qEc https://lnkd.in/dmi-TMv9 https://lnkd.in/dx-iqVNe 11. SSH Mobaxterm : https://lnkd.in/ds7nUhbx Putty : https://lnkd.in/gGgW7Ns9 12. Yaml https://lnkd.in/dNqrXjmV https://lnkd.in/dNqrXjmV 13. Kubernetes https://lnkd.in/duGZwHYX https://lnkd.in/de84ESNv 14. Helm https://lnkd.in/ds_8WB7G 15. Terraform https://lnkd.in/dvpzNT5M https://lnkd.in/dRs3YFu3 https://lnkd.in/d8nkTj3n 16. Python https://lnkd.in/d-EhshQz https://lnkd.in/dYjay9ia https://lnkd.in/dFtNz_9D https://lnkd.in/dcYq8nE2 17. Ansible https://lnkd.in/dGKkrXrA https://lnkd.in/dNugwtVW https://lnkd.in/dhknHJXp 18. Prometheus https://lnkd.in/dpXhmVqs https://lnkd.in/dStQbpRX 19. Grafana https://lnkd.in/ddAV7_-p https://lnkd.in/dRwfE7A4

*Useful IT course Collection :* DurgaSoft Hibernate : https://mega.nz/folder/WKhwhQiQ#bqewS9rvSjDplGdXtPjS5w Resume Collections : https://drive.google.com/drive/folders/1Xu4gH837C_P2cynDQSJWKAgmKYhKGSUu Ashok IT AWS : https://drive.google.com/drive/folders/17Q3Tf3PEfmq_cGM97brqO3oCR0EPLFC8 Ashok IT devops : https://drive.google.com/drive/folders/1q41_DOSmVDL__yZYs7zNUHc8Z1heLZWV Azure Devops : https://drive.google.com/drive/folders/1N9dts3Iov8RGsMtZgD_H5gcdq3zPlCti AWS fundamentals for Beginners : https://drive.google.com/drive/folders/1dF44y1XERpo_Ny6oCCW_8SPj3TZt1iUu Azure Training Shiva IT: https://drive.google.com/drive/u/0/folders/1f4SwncaUIpeCnhk0Z_ZvSI2-yF7QlJpx Jenkins Training : https://drive.google.com/drive/folders/1yTbaGScjjposp15YScJDVxkXnB1aA-vj Kubernetes : https://drive.google.com/drive/folders/1wx13Abt2U1YSCfM_RuvVFx8PwTMThN7S Kubernetes Devops : https://chat.whatsapp.com/Kw0Nb1WNZaRHt0vSQVB4C3 Kubernetes Fundamentals: https://drive.google.com/drive/folders/1PDZHtJQ_Jug6lpHgvk6TQRXos2SBtHQA Kubernetes Deep dive : https://drive.google.com/drive/folders/12YYXSGQx-V9c-wnYa7SojjkwN1bXLEGW Packer +Terraform : https://drive.google.com/drive/folders/1-6DHrVLzGEt9BUdGP4fAdOpwIUn9HMUp IT Docs : https://drive.google.com/drive/folders/1VC2urJ73R_kqt9ciYW3euQu2XzsI1M2Y Puppet : https://drive.google.com/drive/folders/17Oh8ieaQvlsoTSb9JBthhERKcu32IQgS Shell Training : https://drive.google.com/drive/folders/1N1IsY7ZcByOHWcK7Al5nXf-3ocxXYd_a AZURE 900 Timer : https://drive.google.com/drive/folders/1l1BDO1_1sDUJpW2GYK90Q68sGI5WllnS edureak Devops : https://drive.google.com/drive/folders/10BfD-pZ6Qc5HHtg6Ir2smmw4Sw6krg9b AWS real Time : https://drive.google.com/drive/folders/1-h7DsIT4n5NWUMhzff4l1IECEsy79MQ1

Data Analyst Roadmap: Your Ultimate 2023 Career Guide 1 Introduction to Data Analysis using Microsoft Excel: Overview of data analysis and its role in business decision-making. https://lnkd.in/dmKGKCKs 2 Excel Basics for Data Analysis: Using Excel for data manipulation, analysis, and visualization. https://lnkd.in/dm2i6zKp 3 Foundations for Big Data Analysis with SQL: Database (DBMS), Data Warehousing, Data Analysis, Big Data and SQL. https://lnkd.in/d2eTn-JT 4 Overview of Data Visualization: Creating charts and graphs to communicate data insights effectively. https://lnkd.in/dNDgqwJa 5 Data Cleaning and Preparation: Cleaning and preparing data for analysis, dealing with missing data and outliers. https://lnkd.in/ddj-biS2 6 Exploratory Data Analysis: Cluster Analysis, Ggplot2, R Programming and Exploratory Data Analysis. https://lnkd.in/d4DPGKva 7 Strategic Business Analytics Specialization: R Programming, Marketing Analytics, Data Analysis, Business Analytics https://lnkd.in/d-nWiAbA 8 Machine Learning: Introduction to machine learning concepts, algorithms, and applications. https://lnkd.in/dfzJfk8y 9 Data Storytelling: Creating compelling stories using data visualization and narrative techniques. https://lnkd.in/dpq2E5HB 10 Database Management Essentials: Database (DB) Design, Entity–Relationship (E-R) Model, Database (DBMS) and SQL https://lnkd.in/dcNjggkW 11 Foundations of Business Intelligence: Stakeholder Management, Sharing Insights With Stakeholders, Asking Effective Questions https://lnkd.in/dQGgzuV7 12 Data Science Ethics: Understanding ethical considerations in data analysis and ensuring privacy and security. https://lnkd.in/dmCE_f8G 13 Tools for Data Sciences: Introduction to Python, R, and other data science tools for data analysis. https://lnkd.in/dkqXzn-z 14 Advanced MySQL Topics: Database (DB) Design, Database (DBMS) and MySQL https://lnkd.in/dpPpMS8W 15 Data Analytics en Power BI: Python Programming adn power bi. https://lnkd.in/dHdcXdFZ 16 Data Analyst Interview Questions & Answers https://lnkd.in/dZN73RGn

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*Flipkart Technical Interview Questions for Freshers* 1. What are the different types of OS you are comfortable working with? 2. Given a string s containing 0’s and 1’s. You have to return a smallest positive integer C, such that the binary string can be cut into C pieces and each piece should be of the power of 5 with no leading zeros. 3. Given two sorted arrays arr1 and arr2 of size N and M respectively and an element K. The task is to find the element that would be at the k’th position of the final sorted array. 4. Given an input stream of A of n characters consisting only of lower case alphabets. The task is to find the first non repeating character, each time a character is inserted to the stream. If there is no such character then append ‘#’ to the answer. 5. Given a BST, find the number of ways in which we can insert numbers that will give same the same BST. For example; if a BST is 2 1(L) 3(R), then arrays that will give the same BST are 2 1 3 and 2 3 1. 6. Given n activities of unit time each and each activity has a profit and a deadline. Write an algorithm to schedule the activities to maximize the profit. 7. How do you code Producer-Consumer problem? 8. There is a requirement in Flipkart to show minimum price in the last 30 days. Here, which data structure should be used? 9. Given two binary search trees with n and n-1 nodes respectively with all elements same except one, find the odd node. 10. Given an array where each element signifies the number of cells which can be skipped, find the minimum number of steps taken to reach the last cell of the array. One has to start at index 0 and always move forward either by skipping cells by number given or by one. 11. A stream of integers is coming. As soon as an integer enters, print the earliest non repeating number. 12. Given a matrix with ‘X’ and ‘O’, change each ‘O’ to ‘#’ which are surrounded by ‘X’. 13. Print all triplets in an array such that their sum is zero and there should be no duplicate element in the triplet. 14. Check whether the given binary tree is a binary search tree. Discuss various approaches. 15. Which is the fastest method to sort an almost sorted array? 16. What is a hash table? Explain how hash function and buckets work. 17. In the given array of integers, find Pythagorean triplets. 18. Compute the nearest palindrome number of the given number. 19. Given a directed graph with V nodes and E edges. If there is an edge from u to v then u depends on v. Find out the sum of dependencies for every node. Duplicate edges should be counted as separate edges. 20. Tell us the difference between embedded systems and the system in which RTOS runs? Can we have inline virtual functions in a class? 21. Why can’t arrays be passed by values to functions? 22. What Is A Memory Leak? What Is A Segmentation Fault? 23. Given two numbers p and q, find kth digit from right of p^q. 24. Given 1 GB memory space; write a pseudo code to print the maximum occurring string at any point of time where the size of the list of string can be of 10 GB and are updated dynamically.