#Java Fundamentals
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I go by no pronouns but not as in my name, more so like my pronouns are an undefined variable in shell coding
#neo.txt#coding#programming#like. 5 people will get this#shell and unix in gen are a pretty niche kinda part of programming#with people more so sticking to python html java and the C family#and i guess sql? SQL counts as a language itself doesn't it?#I haven't really used it outside of making basic databases so I don't know fundamentally what it is and why it was created#anyways this was your fairly-rare-on-tumblr more-common-on-twitter tech ramble
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How Does Coursera’s Java Programming Course Prepare You for Success?
Java is still one of the most popular programming languages, and it's used to power many apps, websites, and business tools. Learning Java from scratch can make or break your job, whether you want to be a developer or an IT worker who wants to get better at what you do. The goal of Coursera's Java programming course is to give students the fundamental skills and real-world experience they need to do well in the software development field.
But how does it get you ready for success?
Building a Strong Foundation in Java
Mastering the basics is one of the most important things you can do to be successful in Java programming. The Java course on Coursera ensures that students understand basic programming ideas like variables, loops, conditionals, and object-oriented programming. Learners can easily go from being beginners to being skilled coders with step-by-step help.
If you sign up for an online Java course for beginners, you'll get structured lessons with quizzes, coding tasks, and examples from real life. This method helps you understand things better and prepares you for real-world software development tasks.
Practical Learning with Hands-On Projects
Coursera's Java programming training for beginners is different from many others because it goes beyond just teaching theory. It stresses real-world use by combining hands-on projects with code homework.
Students learn the basics of Java code by working through real-life situations. This helps them solve problems and make apps. These projects not only help you get better at coding, but they also help you build a strong portfolio that you can show to possible employers.
Structured Curriculum for Beginners
For people who have never coded before, the idea of starting from scratch to learn Java might seem impossible. Coursera's structured curriculum, on the other hand, is meant to lead students through a road of gradual learning.
The course covers essential topics such as:
Introduction to Java and setting up the development environment
Object-oriented programming (OOP) concepts like classes, objects, inheritance, and polymorphism
Data structures and algorithms for efficient programming
Exception handling and debugging techniques
By following this systematic approach, students gain confidence and proficiency in Java programming for beginners.
Accessibility and Flexibility
One of the best things about an online Java course for beginners is that it gives you a lot of freedom. The Java course on Coursera is self-paced, so students can learn whenever it's best for them. You can learn without interrupting your obligations, whether you are a student, a worker, or someone who is changing careers.
Access to discussion forums, interactive Java tutorials for complete beginners, and one-on-one help from teachers all make learning more fun. Students make sure they fully understand each topic before moving on by being able to watch lectures again and do coding exercises.
Career Readiness and Industry Relevance
To get jobs in software development, web development, or mobile app development, you need to know the basics of Java code. Coursera's Java programming course helps students get skills that are in demand in the job market.
Taking core Java training can also help you get ready for more advanced programming topics like Spring Framework, microservices, and backend development. Core Java training gives students the skills they need to handle difficult jobs and move up in the company.
Conclusion
If you want to get started in software, Coursera's Java course for beginners by Learnkarts is a great choice.
This Java programming course gives you the skills you need for a successful job in technology, whether you are just starting to code or want to improve your skills.
#java programming fundamentals#javaprogramming#java#core java course#java course#core java training#core java#coursera
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#java#course#free#scaler#topics#codeblr#software#web#programming#education#fundamentals#developer#development#engineer#compsci#computer#science#cs
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What is the basic fundamental of Java?

Java is a powerful, object-oriented programming language that is widely used in the software industry for building scalable, secure, and platform-independent applications. Whether you are a beginner exploring the world of coding or an experienced developer brushing up on core concepts, understanding the basic fundamentals of Java is crucial.
In this article, we’ll explore the key principles that make up the foundation of Java programming and why mastering them is essential for any developer.
Why Learn Java Fundamentals First?
Java is not just a language—it’s a comprehensive ecosystem. Grasping the basics helps you write efficient code, debug effectively, and transition smoothly to more advanced topics like frameworks, APIs, and libraries.
Foundational knowledge is often what sets apart a beginner from a confident coder.
1. Java Syntax and Structure
Every Java program must follow a specific structure and syntax. The code is organized into classes and methods, and Java is case-sensitive. Here’s a quick overview of the structure:
java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
Key Elements:
class: Everything in Java revolves around classes.
main(): Entry point of any Java application.
System.out.println(): Used to print output.
2. Data Types and Variables
Understanding data types is one of the most fundamental parts of programming in Java. Java is a statically typed language, meaning variables must be declared before use.
Primary Data Types:
int – integers
double – floating-point numbers
char – single characters
boolean – true or false
Variable Example:
java
int age = 25;
boolean isStudent = true;
3. Control Flow Statements
Control flow dictates how a program runs and under what conditions certain blocks of code are executed.
Main Control Statements:
if, else if, else
switch
for, while, do-while loops
break, continue
Example:
java
if (age > 18) {
System.out.println("Adult");
} else {
System.out.println("Minor");
}
4. Object-Oriented Programming (OOP)
Java is fundamentally an object-oriented language. This means that the design of the program revolves around creating objects from classes.
Core OOP Principles:
Encapsulation – Binding data and methods together
Inheritance – Reusing code from one class in another
Polymorphism – One interface, many implementations
Abstraction – Hiding internal implementation details
Example:
java
class Animal {
void sound() {
System.out.println("Animal makes a sound");
}
}
class Dog extends Animal {
void sound() {
System.out.println("Dog barks");
}
}
Understanding OOP is vital if you want to build scalable and maintainable applications in Java. These principles are taught step-by-step in the Best Java course in Chandigarh, which focuses on both theory and real-time project application.
5. Java Methods and Functions
In Java, methods are blocks of code that perform a specific task and can be reused.
Method Syntax:
java
public static int add(int a, int b) {
return a + b;
}
Methods help you:
Break down complex problems
Avoid code repetition
Improve readability
6. Arrays and Collections
Java provides tools to store multiple values:
Arrays: Fixed-size, same data type
ArrayList, HashMap, HashSet (Collections): Flexible and dynamic
Example:
java
int[] numbers = {1, 2, 3, 4};
System.out.println(numbers[0]); // Output: 1
Collections are particularly useful in real-world Java development where data needs to be stored, searched, or manipulated efficiently.
7. Exception Handling
Errors are inevitable. Java provides a robust exception handling system that ensures your application doesn't crash unexpectedly.
Syntax:
java
try {
int divide = 10 / 0;
} catch (ArithmeticException e) {
System.out.println("Cannot divide by zero");
}
Handling exceptions makes your code more resilient and user-friendly.
8. Java Development Tools
Java developers rely on a variety of tools for writing, testing, and deploying code, such as:
IDEs like IntelliJ IDEA or Eclipse
Build tools like Maven or Gradle
Version control systems like Git
Debuggers and profilers for performance monitoring
Learning how to use these tools early on will help you become an efficient developer.
Conclusion
The basic fundamentals of Java—from syntax and variables to object-oriented principles and exception handling—are essential stepping stones for every programmer. Whether you aim to build Android apps, enterprise solutions, or web applications, these core concepts are non-negotiable.
If you’re looking to get a solid foundation with hands-on practice and expert guidance, enrolling in the Best Java course in Chandigarh can significantly accelerate your learning journey. These courses typically include project-based learning, resume-building exercises, and mentorship to help you succeed in real-world scenarios.
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Java Fundamentals: A Comprehensive Guide for Beginners
Java is a popular programming language that is used to develop a wide variety of applications, including mobile apps, web apps, desktop apps, and games.
https://medium.com/@rolandmack63/java-fundamentals-a-comprehensive-guide-for-beginners-304d09b9063f
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okay here's how apple users think. They can't do shit with their pc. they can only run the lowest of low-end games. You could maybe run a DS emulator on that shit. The thing starts huffing and puffing the moment you run any adobe products on it even though the two companies suck each other off all the time so you'd THINK it's at least designed to do that. But no. And somehow daVinci resolve runs even worse. And then the computer breaks in an unfixable manner no matter HOW it breaks.
And it's never "oh these machines are expensive underpowered pieces of shit" no. It's never "apple as a company sells fundamentally terrible products on brand-loyalty and perceived user-friendliness alone" no. It's always "well computers are fragile little babies that you have to babysit and if the battery starts shitting itself the moment you unplug it it's actually your fault for not putting the bed to sleep on a mattress of silk and dew. And if you run third party software (minecraft) and the computer shits itself doing that it's because it runs on java and java is actually TERRIBLE and it's the code's fault. for not being able to run on apple computers which are like porcelain ducks that you have to shine with a brand new apple branded microfiber cloth every day lest the cloth catches dust that might shatter the tiny little porcelain duck"
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feel free to not answer this but this is something that's been worrying me a bit, but the dream management account has said that dream used chatgpt to help him when it came to the titan project. now obviously he couldn't have coded the entire thing with chatgpt and with the languages he learned and months sunk into the project, he still clearly did the vast majority of the work, but i was just worried about copywrite issues, i have no idea how any of that works. (and obviously using it as an aid as opposed to using it as a way to avoid paying people are vastly different which is what you're talking about, but it just reminded me of the worry again)
oh i can answer this because he actually explained it ! just to get it out of the way, trademarking code is extremely difficult. and he's working with java which you basically can't copyright. not an issue there
but also he said he used it to learn how to do the things. which means he knew what he had to do, he asked for an example implementation, and then changed it to work for him. and i know he changed it because i have seen bits of the code from the shaders thing and chatgpt cannot output that kind of code
i don't like the usage of gpt at all i think it's bad always, but putting that aside what dream is doing is actually learning how to do a thing and reimplementing the code which is completely okay and legal. and he was on top of that paying people for other things he didn't know how to do instead of asking gpt for raw full code
which is what these friends of mine suspect q could be doing because they just don't trust him and the quality of the mod was already mediocre back then. so we'll take a look at it and see
but yeah dream's case completely different from a fundamental standpoint, seen it myself, these are two different things and again putting aside my hatred for gpt he is in the clear
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I try to make a balance between reading the book "Kafka: The Definitive Guide - 2nd Edition," doing Confluent course lab exercises, and a little bit of Udemy projects with Kafka as well. In the middle of the week, I'm making my homepage to showcase some portfolio stuff, which is not my priority at this time, but it involves a lot of coding as well.
Feeling like I can answer any interview questions about Kafka at this point, including the fundamentals, use cases, and examples of writing a pub/sub system in Java.
It's all about studying; it magically changes you inside and out. You're the same person, in the same place, but now capable of creating really good software with refined techniques.
#coding#developer#linux#programmer#programming#software#software development#student#study aesthetic#study blog#studyblr#studynotes#study#software engineering#self improvement#study motivation#university student#studying#student life#study routine#study room#java#apache kafka#softwareengineer#learn#learning#learnsomethingneweveryday#javaprogramming
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Not to show my Tumblr fandom age and level of cringe but I’ve been thinking about Pacific Rim recently (or really just my ship (Maco x Raleigh) and drift compatibility as a concept) and since everything always circles back to Gilmore Girls for me on this blog it got me wondering who is and isn’t drift compatible and what that means.
Like, drift compatibility isn’t about romantic compatibility or that kind of soulmatism, it’s about having someone who you klick with on such a fundamental level that you could pilot a giant mecha together. Raleigh copilots with his brother before he meets Mako. One robot is run by a father-son duo. One is run by more than two. It’s not about romance but strong, personal and stable bonds between two or more people.
So with that clarified I think Rory and Jess are 100% drift compatible and that Rory isn’t drift compatible with any of her other boyfriends. Not because of shipping but because Jess is explicitly written to have an instant understanding with Rory and connection of the mind. That being said Rory and Lorelai are also drift compatible, but not Lorelai and Luke (again, not shipping related I love java junkie I just don’t think they could pilot a jaeger together). Emily and Richard are drift compatible and while Emily sorely wishes to be compatible with her daughter and/or granddaughter but she just isn’t. Lorelai, Sookie and Michel are drift compatible, both just the women and as a trio. I actually think Paris could’ve been drift compatible with Tristan at some point (though I really don’t ship them) and when she meets Doyle they are so drift compatible it’s funny. Also she might be drift compatible with her nanny. Madeleine and Louise are a lock for drift compatibility. Miss Patty and Babette are probably drift compatible too. All of Hep Alien could possibly run a suit together but after Dave leaves and tensions rise between Zack Brian and Gil Zack would break compatibility with and for everyone (that band is a unit and can only pilot a jaeger as a unit). Taylor Doose is convinced he can pilot a whole mecha by himself (he cannot).
#quick question why am I like this#oh well it’s fun#gilmore girls#gilmore girls au#gilmore girls headcanons#my headcanons#my aus#rory gilmore#jess mariano#lorelai gilmore#luke danes#lane kim#paris geller#hep alien#the potato rants
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Any tips on learning python? I already know Java, C++, and JavaScript.
Hiya! 💗
Since you already know those other languages, Python will be literally a piece of cake. It'll be easy for you, in my opinion.
Tips? I would say:
Start with the Basics: Begin by understanding the fundamental syntax and concepts of Python. After learning those, you can basically apply the languages you know logic into Python code and you'll be done. You can use online tutorials on YouTube or free online pdf books to get a good grasp of the basics.
Leverage Your Programming Experience:Like I mentioned Python shares similarities with many languages, so relate Python concepts to what you already know. For example, understand Python data types and structures in comparison to those in Java, C++, or JavaScript.
Projects and Practice:I sing this on my blog but practice is crucial. Start small projects or challenges to apply your Python knowledge. Depends what you want to build e.g. console apps, games, websites etc. Just build something small every so often!
Hope this helps! More tips I made: ask 1 | project ideas | random resources
⤷ ♡ my shop ○ my mini website ○ pinned ○ navigation ♡
#my asks#codeblr#coding#progblr#programming#studying#studyblr#learn to code#comp sci#tech#programmer#python#resources#python resources
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Mastering Data Structures: A Comprehensive Course for Beginners
Data structures are one of the foundational concepts in computer science and software development. Mastering data structures is essential for anyone looking to pursue a career in programming, software engineering, or computer science. This article will explore the importance of a Data Structure Course, what it covers, and how it can help you excel in coding challenges and interviews.
1. What Is a Data Structure Course?
A Data Structure Course teaches students about the various ways data can be organized, stored, and manipulated efficiently. These structures are crucial for solving complex problems and optimizing the performance of applications. The course generally covers theoretical concepts along with practical applications using programming languages like C++, Java, or Python.
By the end of the course, students will gain proficiency in selecting the right data structure for different problem types, improving their problem-solving abilities.
2. Why Take a Data Structure Course?
Learning data structures is vital for both beginners and experienced developers. Here are some key reasons to enroll in a Data Structure Course:
a) Essential for Coding Interviews
Companies like Google, Amazon, and Facebook focus heavily on data structures in their coding interviews. A solid understanding of data structures is essential to pass these interviews successfully. Employers assess your problem-solving skills, and your knowledge of data structures can set you apart from other candidates.
b) Improves Problem-Solving Skills
With the right data structure knowledge, you can solve real-world problems more efficiently. A well-designed data structure leads to faster algorithms, which is critical when handling large datasets or working on performance-sensitive applications.
c) Boosts Programming Competency
A good grasp of data structures makes coding more intuitive. Whether you are developing an app, building a website, or working on software tools, understanding how to work with different data structures will help you write clean and efficient code.
3. Key Topics Covered in a Data Structure Course
A Data Structure Course typically spans a range of topics designed to teach students how to use and implement different structures. Below are some key topics you will encounter:
a) Arrays and Linked Lists
Arrays are one of the most basic data structures. A Data Structure Course will teach you how to use arrays for storing and accessing data in contiguous memory locations. Linked lists, on the other hand, involve nodes that hold data and pointers to the next node. Students will learn the differences, advantages, and disadvantages of both structures.
b) Stacks and Queues
Stacks and queues are fundamental data structures used to store and retrieve data in a specific order. A Data Structure Course will cover the LIFO (Last In, First Out) principle for stacks and FIFO (First In, First Out) for queues, explaining their use in various algorithms and applications like web browsers and task scheduling.
c) Trees and Graphs
Trees and graphs are hierarchical structures used in organizing data. A Data Structure Course teaches how trees, such as binary trees, binary search trees (BST), and AVL trees, are used in organizing hierarchical data. Graphs are important for representing relationships between entities, such as in social networks, and are used in algorithms like Dijkstra's and BFS/DFS.
d) Hashing
Hashing is a technique used to convert a given key into an index in an array. A Data Structure Course will cover hash tables, hash maps, and collision resolution techniques, which are crucial for fast data retrieval and manipulation.
e) Sorting and Searching Algorithms
Sorting and searching are essential operations for working with data. A Data Structure Course provides a detailed study of algorithms like quicksort, merge sort, and binary search. Understanding these algorithms and how they interact with data structures can help you optimize solutions to various problems.
4. Practical Benefits of Enrolling in a Data Structure Course
a) Hands-on Experience
A Data Structure Course typically includes plenty of coding exercises, allowing students to implement data structures and algorithms from scratch. This hands-on experience is invaluable when applying concepts to real-world problems.
b) Critical Thinking and Efficiency
Data structures are all about optimizing efficiency. By learning the most effective ways to store and manipulate data, students improve their critical thinking skills, which are essential in programming. Selecting the right data structure for a problem can drastically reduce time and space complexity.
c) Better Understanding of Memory Management
Understanding how data is stored and accessed in memory is crucial for writing efficient code. A Data Structure Course will help you gain insights into memory management, pointers, and references, which are important concepts, especially in languages like C and C++.
5. Best Programming Languages for Data Structure Courses
While many programming languages can be used to teach data structures, some are particularly well-suited due to their memory management capabilities and ease of implementation. Some popular programming languages used in Data Structure Courses include:
C++: Offers low-level memory management and is perfect for teaching data structures.
Java: Widely used for teaching object-oriented principles and offers a rich set of libraries for implementing data structures.
Python: Known for its simplicity and ease of use, Python is great for beginners, though it may not offer the same level of control over memory as C++.
6. How to Choose the Right Data Structure Course?
Selecting the right Data Structure Course depends on several factors such as your learning goals, background, and preferred learning style. Consider the following when choosing:
a) Course Content and Curriculum
Make sure the course covers the topics you are interested in and aligns with your learning objectives. A comprehensive Data Structure Course should provide a balance between theory and practical coding exercises.
b) Instructor Expertise
Look for courses taught by experienced instructors who have a solid background in computer science and software development.
c) Course Reviews and Ratings
Reviews and ratings from other students can provide valuable insights into the course’s quality and how well it prepares you for real-world applications.
7. Conclusion: Unlock Your Coding Potential with a Data Structure Course
In conclusion, a Data Structure Course is an essential investment for anyone serious about pursuing a career in software development or computer science. It equips you with the tools and skills to optimize your code, solve problems more efficiently, and excel in technical interviews. Whether you're a beginner or looking to strengthen your existing knowledge, a well-structured course can help you unlock your full coding potential.
By mastering data structures, you are not only preparing for interviews but also becoming a better programmer who can tackle complex challenges with ease.
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The concept of object oriented programming explained
Object-oriented programming is a fundamental concept present in numerous programming languages such as C++, Java, JavaScript, and more. It becomes straightforward once you truly grasp it, and that's precisely what this post aims to help you achieve. So, stop your scrolling for a second and delve into this post for a thorough and clear explanation.
Understanding the Term "Object-Oriented"
To grasp OOP, let's begin by explaining the name itself: "Object-Oriented." This term signifies that OOP revolves around entities known as "objects."
What Exactly Is an Object?
An object in OOP is any entity that possesses both state and behavior. Consider a dog as an example: it has states such as color, name, and breed, while its behaviors encompass actions like wagging the tail, barking, and eating.
The reason we introduce the concept of objects in programming is to effectively represent real-world entities, a task that cannot be accomplished with conventional variables or arrays.
Classes: Abstract Forms of Objects
Now, what about classes? A class is essentially the abstract form of an object. If we take the example of a "dog," the object "Mydog" is a concrete instance, while the class "dog" represents dogs in a more general sense. Think of a class as a blueprint or template from which you can create individual objects.
Four Pillars of Object-Oriented Programming
Now that we've established the fundamentals of objects and classes. OOP is built upon four key principles:
Inheritance: Inheritance occurs when one object inherits all the properties and behaviors of a parent object. It promotes code reusability and facilitates runtime polymorphism.
Polymorphism: Polymorphism entails performing a single task in multiple ways. For instance, it can involve presenting information differently to customers or implementing different shapes like triangles or rectangles.
Abstraction: Abstraction is about concealing internal details while exposing functionality. Consider a phone call; we don't need to understand the intricate inner workings.
Encapsulation: Encapsulation involves bundling code and data into a single unit. Just like a capsule contains various medicines . In a fully encapsulated class (e.g., a Java bean), all data members are private, ensuring data integrity and controlled access.
I remember finding these images that explained these concepts using the 'Squid Game' series, and they are just perfect. So, I'm sharing them here and giving all credit to their owner :
Polymorphism , Inheritance , Encapsulation
#code#codeblr#css#html#python#studyblr#progblr#programming#comp sci#web design#web developers#web development#website design#webdev#website#tech#html css#learn to code#OOP#object oriented programming
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god I miss assembly. I know why it's not commonly used anymore but like. the entire concept of scope as it exists in modern programming languages always frustrated me and you didn't have to worry about that as much in assembly. of course it's a horrible security issue but having complete unrestricted access to all of the machine's ram gave me a feeling of control I haven't felt since I started seriously using modern programming languages. if something went wrong it was my fault for not managing memory properly (barring the memory leaks caused by the faulty assembler I was using at the time). I HAD to keep track of what each address in memory was used for and make sure to minimize, if not outright eliminate, overlap.
not to mention, being able to give exact instructions to the processor itself felt so intimate. I feel so much more affection for the super nintendo's 5A22 than I feel for any processor in any pc I've ever used, because I know all of its behaviors, all of its shortcomings, all of its quirks on a very fundamental level. I had to respect it, understand its boundaries, and work within its limitations. it was a form of intimate communication I've not felt with a piece of hardware in a long time, but it was incredibly rewarding to accomplish something with it as a result.
I don't feel anything for the processors I use today, because it largely doesn't matter. now it's all about making the numbers go up, nobody cares about the inner workings of the processor because they mostly don't have to. sure, that makes things more efficient, increases productivity, allows for more possibilities, but at what cost? nobody respects the technology anymore - they throw it away the minute something more powerful comes out. there's no need to think about old technology, old processors have no merit, no utility, no purpose. why bother loving them, when you should be focusing on your shitty job writing java for a company that serves no purpose? but I say why not, when they felt so distinctly human?
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Codetober day 2
My day isn't done yet, but I've gotten the bulk of what I wanted to get done today done.
Today I delved head first into Java, and I really zoomed through the fundamentals due to how similar Java is to C.
Next up I gotta actually learn Object Oriented patterns, which I don't think will be too difficult.
2. What programming languages do you know?
Off the top of my head, C, C++, Lua, Javascript, Odin, Zig, Rust, and Go. In no particular order.
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Preparation for the study
Hello guys!
Well, I've been doing a course of java in the past week or so, but I haven't been tracking and I want to keep a progress to be more sure I am in a good pace and will end it (kinda) faster.
So today I am going to pick a schedule and turn it into a habit, also I am going to organize how I will spend my time studying. I am learning Java (still on the very beginning heelp). So far, have made into 55 of 541 videos in the Java course, 77 hours of lessons and there's also practice and some challenges to do. I don't think I am able to get it done if I don't put my effort into being aware of my time, so my biggest flaw here is to keep focus and avoid procrastination at all my costs.
The course abt java has:
-Fundamentals of Java
-Programming oriented object
-Functional programming
-Mysql
-Mongodb
-Spring boot
-Javafx
-JPA
-Hibernate
And when I end this course I will continue with the ""sequel"", my point is to keep learning so I can get a job at the field and move on into being able to buy more books and keep this looping going. As the obsessive I am, I'm fully engaged in tech obviously, so my plans much depends on learning about it, and then how to make everything in my life about it too so... Yeah it will be fun, and a big stress probably. Hope I don't burn my head doing that.
Also, I bought last week a few other courses, cuz they were for such a good price I couldn't say no. Still haven't picked any of them to study, but, respectively they are:
-HTML and Css basics
-Terminal for beginners
-Gnu nano
-Shell script advanced
-Learn to compile
-VPS Server
-Create your own package manager
-Vagrant
-Slackware essentials
-Darkweb
Those are some topics I am interested in, even knowing a little about one here and there, will be a great challenge to advance my comprehension. I need to find time to put them into schedule. Wish me luck everybody. Maybe I am getting too overwhelmed to do everything I picked? Of course, but fuck it I can handle - just not at the same time obviously, sometime I will get there I just need to be patient with myself and keep consistency at check.
Gosh, was a long post huh? I will say later on my plan to get it all done! Until them, thank you for staying with me.
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Do you prefer Java or Bedrock?
Java - like, I think people who play Bedrock are definitely Minecraft fans and all that I’m not here to gatekeeper, but Java is minecraft to me and I don’t consider the other versions to be like, the real game if that makes sense?
Bedrock fundamentally exists because adding microtransactions to Java would have been too hard IMO
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