Programming wale ™
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📍Do join for coding resources, Handwritten notes & Quizzes! 🧑💻 WhatsApp Channel 👉 https://whatsapp.com/channel/0029Va5v1qv4SpkGfCAjsy30
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Here's a short roadmap to crack an IT job with a non-CS background 🚀
1. 📚 Learn basics of CS and programming.
2. 🎯 Choose a specialization (e.g., web dev, data analysis).
3. 🏆 Complete online courses and certifications.
4. 🛠️ Build a portfolio of projects.
5. 🤝 Network with professionals.
6. 💼 Seek internships for experience.
7. 📚 Keep learning and stay updated.
8. 🧠 Develop soft skills.
9. 📝 Prepare for interviews.
10. 💪 Stay persistent and positive! Good luck!
Join this coding WhatsApp group for more posts like this 👇
https://whatsapp.com/channel/0029Va5v1qv4SpkGfCAjsy30
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In class, there are some students who are really good at coding from the start, and seeing them can make us feel quite demotivated, especially since they often appear overconfident.
But it's not important how much someone already knows. If you start and practice consistently, it's not that tough to match their level or even surpass them.
And often, these overconfident people don’t perform as well as you can because you have the desire to learn, while they think they already know everything.
So, my friend, don’t get demotivated—just give it time!
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How long are coding interviews?
The phone screen portion of the coding interview typically lasts up to one hour. The second, more technical part of the interview can take multiple hours.
Where can I practice coding?
There are many ways to practice coding and prepare for your coding interview. LeetCode provides practice opportunities in more than 14 languages and more than 1,500 sample problems. Applicants can also practice their coding skills and interview prep with HackerRank.
How do I know if my coding interview went well?
There are a variety of indicators that your coding interview went well. These may include going over the allotted time, being introduced to additional team members, and receiving a quick response to your thank you email.
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How long are coding interviews?
The phone screen portion of the coding interview typically lasts up to one hour. The second, more technical part of the interview can take multiple hours.
Where can I practice coding?
There are many ways to practice coding and prepare for your coding interview. LeetCode provides practice opportunities in more than 14 languages and more than 1,500 sample problems. Applicants can also practice their coding skills and interview prep with HackerRank.
How do I know if my coding interview went well?
There are a variety of indicators that your coding interview went well. These may include going over the allotted time, being introduced to additional team members, and receiving a quick response to your thank you email.
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GIT Interview Q/A pdf 🚀
Do not forget to React ❤️ to this Message for More Content Like this
Thanks For Joining All ❤️🙏
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Complete Roadmap to learn DSA in 30 days
Day 1-5: Introduction to Data Structures and Algorithms
- Understand the importance of DSA in programming
- Learn about different types of data structures (arrays, linked lists, stacks, queues, trees, graphs)
- Study basic algorithms like searching and sorting
Day 6-10: Arrays and Strings
- Dive deeper into arrays and strings
- Learn about common operations and algorithms on arrays and strings
- Practice solving problems related to arrays and strings
Day 11-15: Linked Lists
- Study linked lists and their variations (singly linked list, doubly linked list, circular linked list)
- Implement basic operations on linked lists
- Solve problems involving linked lists
Day 16-20: Stacks and Queues
- Learn about stacks and queues and their applications
- Implement stack and queue data structures
- Solve problems using stacks and queues
Day 21-25: Trees and Graphs
- Study binary trees, binary search trees, AVL trees, heaps, and graphs
- Understand traversal algorithms (inorder, preorder, postorder) for trees
- Implement basic graph algorithms (DFS, BFS)
- Solve problems related to trees and graphs
Day 26-30: Advanced Topics
- Study advanced data structures like hash tables, tries, segment trees
- Learn about dynamic programming, backtracking, and divide and conquer algorithms
- Practice solving complex problems that require a combination of data structures and algorithms
Throughout the 30 days, make sure to practice regularly by solving coding problems on platforms like LeetCode, HackerRank, or Codeforces. Additionally, review your concepts regularly and seek out resources like online tutorials, textbooks, and study groups to deepen your understanding of DSA.
5⃣ Free DSA resources to crack coding interview
👉 GeekforGeeks
👉 Leetcode
👉 Hackerrank
👉 DSA Resources
👉 FreeCodeCamp
Join for more free resources: https://t.me/programmingwale
ENJOY LEARNING 👍👍
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Free Python E-Book for you guys ☺️
Give a reaction if you want this type pdf 😉
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JavaScript is hard
Coding is hard
Web3 is hard
CSS is hard
Yes, everything will be hard at first, but it will become easy once you start learning it and put your time and effort into it!
Google, Microsoft, Apple was not built in a day, not even a month, and not even a year.
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Java Roadmap
|
|-- Fundamentals
| |-- Basics of Programming
| | |-- Introduction to Java
| | |-- Java Development Kit (JDK) and Java Runtime Environment (JRE)
| | |-- Setting Up Development Environment (IDE: IntelliJ IDEA, Eclipse, etc.)
| |
| |-- Syntax and Structure
| | |-- Basic Syntax
| | |-- Variables and Data Types
| | |-- Operators and Expressions
|
|-- Control Structures
| |-- Conditional Statements
| | |-- If-Else Statements
| | |-- Switch Case
| |
| |-- Loops
| | |-- For Loop
| | |-- While Loop
| | |-- Do-While Loop
| |
| |-- Exception Handling
| | |-- Try-Catch Block
| | |-- Finally Block
| | |-- Throw and Throws Keywords
|
|-- Object-Oriented Programming (OOP)
| |-- Basics of OOP
| | |-- Classes and Objects
| | |-- Methods and Constructors
| |
| |-- Inheritance
| | |-- Single and Multiple Inheritance
| | |-- Method Overriding
| | |-- Super Keyword
| |
| |-- Polymorphism
| | |-- Method Overloading
| | |-- Runtime Polymorphism
| | |-- Dynamic Method Dispatch
| |
| |-- Encapsulation
| | |-- Access Modifiers (Public, Private, Protected)
| | |-- Getters and Setters
| | |-- Data Hiding
| |
| |-- Abstraction
| | |-- Abstract Classes
| | |-- Interfaces
|
|-- Advanced Java
| |-- Collections Framework
| | |-- List (ArrayList, LinkedList)
| | |-- Set (HashSet, TreeSet)
| | |-- Map (HashMap, TreeMap)
| | |-- Queue (PriorityQueue, LinkedList)
| |
| |-- Concurrency
| | |-- Multithreading (Creating Threads, Thread Lifecycle)
| | |-- Synchronization
| | |-- Concurrency Utilities (Executors Framework, Callable and Future, Locks and Semaphores)
|
|-- Java Standard Libraries
| |-- I/O Streams
| | |-- File Handling (File Class, Reading and Writing Files)
| | |-- Streams (Byte Streams, Character Streams, Buffered Streams)
| |
| |-- Networking
| | |-- Sockets (TCP and UDP, Socket and ServerSocket Classes)
| | |-- URL and HTTP (URL Class, HttpURLConnection)
| |
| |-- JDBC
| | |-- Database Connectivity (JDBC Drivers, Connection, Statement, and ResultSet)
| | |-- PreparedStatement and CallableStatement
|
|-- Java Frameworks
| |-- Spring Framework
| | |-- Spring Core (Dependency Injection, Inversion of Control)
| | |-- Spring MVC (Model-View-Controller Architecture)
| | |-- Spring Boot (Creating Spring Boot Applications, Starters and Auto-Configuration, Actuator)
| |
| |-- Hibernate
| | |-- ORM Basics (Introduction to ORM, Configuration and Mapping)
| | |-- Advanced Hibernate (Caching, Transactions and Concurrency, Criteria API)
|
|-- Web Development with Java
| |-- Java EE (Jakarta EE)
| | |-- Servlets (Lifecycle, Handling HTTP Requests and Responses, Session Management)
| | |-- JavaServer Pages (JSP) (Syntax, Directives, JSTL and Custom Tags, Expression Language)
| |
| |-- RESTful Web Services
| | |-- JAX-RS (Creating RESTful Services, Annotations and HTTP Methods, Consuming RESTful Services)
|
|-- Build Tools and Dependency Management
| |-- Maven
| | |-- Project Object Model (POM), Dependencies, Repositories, Build Lifecycle and Plugins
| |
| |-- Gradle
| | |-- Build Scripts, Dependency Management, Task Automation
|
|-- Testing in Java
| |-- Unit Testing
| | |-- JUnit (Annotations, Assertions, Test Suites and Runners)
| |
| |-- Mockito (Creating Mocks and Spies and Verification)
| |
| |-- Integration Testing
| | |-- Spring Test (Testing Spring Components and WebTestClient)
|
|-- Deployment and DevOps
| |-- Containers and Microservices
| | |-- Docker (Dockerfile, Image Creation, Container Management)
| | |-- Kubernetes (Pods, Services, Deployments, Managing Java Applications on Kubernetes)
