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

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

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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
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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.

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

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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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Python Projects for beginners

Essential programming language for Android app development 👇👇

1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps.

2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone.

3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications.

4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development.

5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices.

Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java.

Free Resources to learn App Development 👇👇

Developing Android Apps with Kotlin

Udemy

Android Basics in Kotlin

Advanced Android with Kotlin

Join @free4unow_backup for more free resources.

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Practice projects to consider:

1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.

2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.

3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.

4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.

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1. HTML - w3schools.com
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3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
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7. Python - pythontutorial.net
8. SQL - t.iss.one/sqlanalyst
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