Essential Tools & Programming Languages for Software Developers

👉 Integrated Development Environments (IDEs):
- Visual Studio Code: A lightweight but powerful source code editor that supports various programming languages and extensions.
- IntelliJ IDEA: A popular IDE for Java development, also supporting other languages through plugins.
- Eclipse: Another widely used IDE for Java, with extensive plugin support for other languages.

👉 Version Control Systems:
- Git: A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage project history. GitHub, GitLab, and Bitbucket are popular platforms that use Git.

👉 Programming Languages:
- JavaScript: Essential for web development, with frameworks like React, Angular, and Vue.js for front-end development and Node.js for server-side programming.
- Python: Known for its simplicity and versatility, used in web development (Django, Flask), data science (NumPy, Pandas), and automation.
- Java: Widely used for building enterprise-scale applications, Android app development, and backend systems.
- C#: A language developed by Microsoft, primarily used for building Windows applications and games using the Unity engine.
- C++: Known for its performance, used in system/software development, game development, and applications requiring real-time processing.
- Ruby: Known for its simplicity and productivity, often used in web development with the Ruby on Rails framework.

👉 Web Development Frameworks:
- React: A JavaScript library for building user interfaces, particularly single-page applications.
- Angular: A TypeScript-based framework for building dynamic web applications.
- Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
- Spring: A comprehensive framework for Java that provides infrastructure support for developing Java applications.

👉 Database Management Systems:
- MySQL: An open-source relational database management system.
- PostgreSQL: An open-source object-relational database system with a strong emphasis on extensibility and standards compliance.
- MongoDB: A NoSQL database that uses a flexible, JSON-like format for storing data.

👉 Containerization and Orchestration:
- Docker: A platform that allows developers to package applications into containers, ensuring consistency across multiple environments.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

👉 Cloud Platforms:
- Amazon Web Services (AWS): A comprehensive cloud platform offering a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: A cloud computing service created by Microsoft for building, testing, deploying, and managing applications.
- Google Cloud Platform (GCP): A suite of cloud computing services provided by Google.

👉 CI/CD Tools:
- Jenkins: An open-source automation server that helps automate the parts of software development related to building, testing, and deploying.
- Travis CI: A continuous integration service used to build and test software projects hosted on GitHub.

👉 Project Management and Collaboration:
- Jira: A tool developed by Atlassian for bug tracking, issue tracking, and project management.
- Trello: A visual tool for organizing tasks and projects into boards.

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AI/ML (Daily Schedule) 👨🏻‍💻

Morning:
- 9:00 AM - 10:30 AM: ML Algorithms Practice
- 10:30 AM - 11:00 AM: Break
- 11:00 AM - 12:30 PM: AI/ML Theory Study

Lunch:
- 12:30 PM - 1:30 PM: Lunch and Rest

Afternoon:
- 1:30 PM - 3:00 PM: Project Development
- 3:00 PM - 3:30 PM: Break
- 3:30 PM - 5:00 PM: Model Training/Testing

Evening:
- 5:00 PM - 6:00 PM: Review and Debug
- 6:00 PM - 7:00 PM: Dinner and Rest

Late Evening:
- 7:00 PM - 8:00 PM: Research and Reading
- 8:00 PM - 9:00 PM: Reflect and Plan

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

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If I were to start Computer Science in 2024,

- Harvard - Stanford
- MIT - IBM - Telegram
- Microsoft - Google

❯ CS50 from Harvard
https://cs50.harvard.edu/x/2023/certificate/

❯ C/C++
https://ocw.mit.edu/courses/6-s096-effective-programming-in-c-and-c-january-iap-2014/

❯ Python
https://cs50.harvard.edu/python/2022/

https://t.iss.one/dsabooks

❯ SQL
https://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

https://t.iss.one/sqlanalyst

❯ DSA
https://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/

https://t.iss.one/crackingthecodinginterview/290

❯ Java
https://learn.microsoft.com/shows/java-for-beginners/

https://t.iss.one/Java_Programming_Notes

❯ JavaScript
https://learn.microsoft.com/training/paths/web-development-101/

https://t.iss.one/javascript_courses

❯ TypeScript
https://learn.microsoft.com/training/paths/build-javascript-applications-typescript/

❯ C#
https://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07

❯ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

❯ Data Science
cognitiveclass.ai/courses/data-science-101

https://t.iss.one/datasciencefun/1141

❯ Machine Learning
https://developers.google.com/machine-learning/crash-course

❯ Deep Learning
introtodeeplearning.com

t.iss.one/machinelearning_deeplearning/

❯ Full Stack Web (HTML/CSS)
pll.harvard.edu/course/cs50s-web-programming-python-and-javascript/2023-05

t.iss.one/webdevcoursefree/594

❯ OS, Networking
ocw.mit.edu/courses/6-033-computer-system-engineering-spring-2018/

❯ Compiler Design
online.stanford.edu/courses/soe-ycscs1-compilers

Please give us credits while sharing: -> https://t.iss.one/free4unow_backup

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𝗧𝗼𝗽 𝟭𝟭 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗶𝗻 2025 🧑‍💻:

1. Java
2. JavaScript
3. Python
4. C++
5. Swift
6. Golang (Go)
7. Kotlin
8. Rust
9. TypeScript
10. PHP
11. Ruby

How can you stand out as a software engineer?

Learn the skills that others avoid:

• Learn unit testing.
• Learn CI/CD pipelines.
• Learn automation tools.
• Learn performance tuning.
• Learn security best practices.
• Learn effective branching strategies.
• Learn cloud infrastructure management.

Most fall short here.

Software development is complex, and the fancy names don't help.

Hashing vs. Encryption vs. Encoding


𝗛𝗮𝘀𝗵𝗶𝗻𝗴

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.


𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻

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.


𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴

This is all about data representation.

It converts data from one format to another, making it easier to interpret and display.

Common formats:

• Base64
• UTF-8
• 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.

Free Books:

C Programming
https://books.goalkicker.com/CBook/

Linux
https://books.goalkicker.com/LinuxBook/

Algorithms Book
https://books.goalkicker.com/AlgorithmsBook/

Android Notes
https://books.goalkicker.com/AndroidBook/

C#
https://books.goalkicker.com/CSharpBook/

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Top IDEs and Editors Used 👨🏻‍💻📝💡

1. 💻 VSCode (54% Usage)
2. 🚀 IntelliJ IDEA (34% Usage)
3. 🛠️ Visual Studio (31% Usage)
4. 🖊️ Vim (11% Usage)
5. 🌘 Eclipse (9% Usage)
6. 📜 Sublime Text (5.5% Usage)
7. 🐍 PyCharm (5% Usage)
8. 🍏 Xcode (4% Usage)
9. 📱 Android Studio (3% Usage)
10. 🌐 NetBeans (2% Usage)
11. ⚙️ Atom (2% Usage)

#coding

Master C programming in 30 days with free resources

Week 1: Basics
1. Days 1-3: Learn the basics of C syntax, data types, and variables.
2. Days 4-7: Study control structures like loops (for, while) and conditional statements (if, switch).

Week 2: Functions and Arrays
3. Days 8-10: Understand functions, how to create them, and pass parameters.
4. Days 11-14: Dive into arrays and how to manipulate them.

Week 3: Pointers and Memory Management
5. Days 15-17: Learn about pointers and their role in C programming.
6. Days 18-21: Study memory management, dynamic memory allocation, and deallocation (malloc, free).

Week 4: File Handling and Advanced Topics
7. Days 22-24: Explore file handling and I/O operations in C.
8. Days 25-28: Learn about more advanced topics like structures, unions, and advanced data structures.
9. Days 29-30: Practice and review what you've learned. Work on small projects to apply your knowledge.

Throughout the 30 days, make sure to:
- Code every day to reinforce your learning.
- Use online resources, tutorials, and textbooks.
- Join C programming communities and forums for help and discussions.
- Solve coding challenges and exercises to test your skills (e.g., HackerRank, LeetCode).
- Document your progress and make notes.

Free Resources to learn C Programming
👇👇

Introduction to C Programming

CS50 Course by Harvard

Master the basics of C Programming

C Programming Project

Let Us C Free Book

Free Interactive C Tutorial

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Master Java programming in 15 days with Free Resources 😄👇

Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.

Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.

Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.

Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.

Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice.

FREE RESOURCES TO LEARN JAVA 👇👇

Introduction to Programming in Java: https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/

Java Tutorial for complete beginners: https://bit.ly/3MkvQWf

Introduction to Java Programming and Data Structures: https://t.iss.one/programming_guide/573

Project Ideas for Java: https://t.iss.one/Programming_experts/457

Free Website to Practice Java https://www.hackerrank.com/domains/java

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Here's a good list of cheat sheets for programmers (all free):

Data Science Cheatsheet

https://github.com/aaronwangy/Data-Science-Cheatsheet

SQL Cheatsheet

sqltutorial.org/sql-cheat-sheet

t.iss.one/sqlspecialist/827

https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf

Java Programming Cheatsheet

https://introcs.cs.princeton.edu/java/11cheatsheet/

Javascript Cheatsheet

quickref.me/javascript.html

t.iss.one/javascript_courses/532

Data Analytics Cheatsheets

https://dataanalytics.beehiiv.com/p/data

Python Cheat sheet

quickref.me/python.html

https://t.iss.one/pythondevelopersindia/314

GIT and Machine Learning Cheatsheet

https://t.iss.one/datasciencefun/714

HTML Cheatsheet

https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf

htmlcheatsheet.com

CSS Cheatsheet

htmlcheatsheet.com/css

jQuery Cheatsheet

t.iss.one/webdevelopmentbook/90

Data Visualization
t.iss.one/datasciencefun/698

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