How I Would Learn Programming in 2024 from Scratch?

No matter what field you are in, whether it’s data science, computer science, or software engineering, you need to know coding. To explain how I would change the learning process now, I need to share how I started. I began coding back in 12th grade using Scratch, a basic game development app. During my graduation, I learned about several programming languages, including Java, JavaScript, C, C++, and Python. Some were part of my curriculum, while others I explored on my own.

C and C++ are like the ancestral languages; most programming languages are more or less derivatives of C and C++. Ideally, you might think starting with C and C++ is the answer. However, the reality is different. C and C++ are intensive languages with a lot of code and involve numerous libraries.

Think of coding as giving instructions to a computer, much like explaining the rules of a game to a friend. Don’t worry if it initially sounds a bit tricky – everyone starts from scratch. With the right tips, you’ll soon be writing your code. In this article, I will talk about how you can start learning programming from the beginning and enter this well-paying field.

What is Programming?

Think of Programming as giving orders to a computer. Even though people talk a lot about artificial intelligence, computers don’t think independently. They just follow instructions, but there’s a catch—they only understand a special language made up of 1s and 0s, which is hard for us to use.

That’s where programming languages come in. They act like a bridge between how we talk and how computers understand. With a programming language, we can write instructions that make sense to us, and then the computer translates them into its special language so it can follow our orders.

Can AI Replace Programmers? 

If I had to answer this question honestly, I would say that there would be a massive reduction in the number of programmers required to work on any project. However, the nature of these programming jobs will shift to more monitoring of what Artificial Intelligence is producing, as opposed to just coding.

The question of whether AI will replace programmers is a big one, but right now, it seems like AI is more of a helper than a replacement. New AI tools, like ChatGPT and GitHub Copilot, have changed how people work in Software Development and Data Science. They can do things like automate repetitive tasks, fix bugs, estimate project delivery times, optimize code, translate code between languages, and help people understand code better.

AI is prone to misinformation and misuse. This is much better for someone with technical skills and programming knowledge; it puts you in a better position to get programming jobs. Not only are you responsible for monitoring how AI generates the code, but you can also check and keep track of how AI is developing over time. Check How to Become a Data Scientist in 2024

To answer this question: no, AI cannot replace programmers. AI can help programmers be more efficient and productive.

Which Programming Language Should You Start With as a Beginner?

If you’re just stepping into the exciting world of coding, choosing the right programming language can be a bit overwhelming. However, most software engineers often suggest starting with languages like Python, Java, or C for beginners. Each of these has its unique qualities and applications, catering to different preferences and learning styles.

Python

• Imagine Python as a friendly language guide for newcomers. It’s like learning a language that’s easy to understand thanks to its simple rules. 
• With Python, you can quickly start building your projects without getting bogged down by complicated details. 
• What’s more, Python boasts a wide range of libraries that let you do almost anything, from software development to data analysis, machine learning, and even server-side web development. Check Best Python Courses on Udemy

Java

• Java, another great choice for beginners, serves as a solid foundation for your coding journey. While it might have a slightly steeper learning curve than Python, it’s a sought-after language in the job market. 
• Java’s flexibility shines through the Java Virtual Machine, allowing it to run on almost any computer system. 
• It’s commonly used in the back ends of software applications, ranging from large-scale enterprise solutions to mobile apps—Android’s operating system itself is based on Java. Check Best Java Courses on Udemy

C

• Now, if you’re feeling up for a challenge and want to dive deep into the technical side of programming, C is a worthy contender. 
• Unlike Python, which is easy to read, C’s syntax is closer to the language that computers understand (machine code). 
• Learning C might be a bit tougher, but it pays off in the long run by building a strong foundation of knowledge. 
• Many introductory computer science courses use C because it encourages problem-solving and a deep understanding of how programs work. 
• It forms the backbone for many modern programming languages and is commonly used for desktop applications, operating systems, and databases. Check Best Programming Courses on Udemy

In essence, Python is like the easygoing friend, Java opens doors to job opportunities, and C is the challenging but rewarding mentor on your coding journey. Choose based on your preferences and the exciting adventures you want to embark on in the world of programming.

How Would I Learn Coding Now if I Want to Start From the Beginning? 

Learning to code is challenging but achievable with the right mindset and dedication. A plan and understanding of the process are essential. Here are five steps that will take you from a complete beginner to a working junior programmer.

1. Understand the Basics of Programming

The first step in learning programming is choosing which language to learn. Think about what you want to create, like websites, apps, or machine learning. Here are some suggestions:

• For websites, learn HTML.
• For machine learning, try Python.
• For desktop apps, Java is a good choice.
• For web and mobile apps, go for JavaScript.

If you’re not sure, start with Python because it’s easier. Python is a very versatile language, the syntax is easy to understand. It is a popular language so there are a lot of modules, guides, and documentation available for you to learn. The best learning resources to learn programming are freeCodeCamp and Codecademy. You don’t have to spend a lot of time downloading resources or setting up the environment – this is something a lot of programmers find most time-consuming. Also, it is hands-on, so you get to code and get feedback on your coding skills instantly.

2. Acquire Knowledge of Data Structures and Algorithms (DSA)

Data Structures and Algorithms are essential elements in computer programming. They play a crucial role in how computers store and manage information in their memory. In simple terms, data structures are like special containers that hold different types of data, and algorithms are the step-by-step instructions that help efficiently organise and retrieve this data from the structures. Choosing the right combination of data structures and algorithms is like finding the best tools for the job and can significantly enhance the performance of an application. Check Best DSA Courses on Udemy

When it comes to learning about data structures and algorithms:

1. Focus on the ones relevant to the programming language you’re learning.
2. It’s okay not to try to learn everything at once; there’s a vast amount of information.
3. Take it step by step. Learn one concept, then try implementing it in a small program. Understand how it works behind the scenes.
4. Once you’ve grasped the fundamentals of programming, data structures, and algorithms, consider undertaking a project. Applying your knowledge in a practical setting not only reinforces what you’ve learned but also prepares you for interviews by demonstrating your ability to use your skills in real-world scenarios.

3. Learn Development

Learning development in programming involves mastering various skills and practices to create software applications. Here’s a step-by-step guide to help you get started:

a. Choose a Programming Language: Select a language based on your goals and preferences. Popular choices include:

• Web Development: JavaScript (Node.js), Python, Ruby, PHP
• Mobile App Development: Swift (iOS), Kotlin/Java (Android), React Native (cross-platform)
• General-purpose: Python, Java, C++, JavaScript

b. Understand the Basics: Learn the fundamentals of programming, including:

• Variables and Data Types: Understand how to store and manipulate data.
• Control Structures: Master loops, conditionals, and branching.
• Functions and Methods: Grasp the concept of modular and reusable code.

c. HTML, CSS, and Front-End Development

• HTML (Hypertext Markup Language): Defines the structure of web pages using tags for elements like headings, paragraphs, images, and links.
• CSS (Cascading Style Sheets): Styles and layouts web pages, applying features like colours, fonts, spacing, and positioning to enhance visual appeal.
• JavaScript: Adds interactivity and dynamic content, making web pages responsive with user-friendly interfaces.

d. Backend Development

• Server-Side Programming: Involves coding on the server to handle user requests. Popular languages include Node.js (JavaScript), Python (Django, Flask), Ruby (Ruby on Rails), Java (Spring), and PHP.
• Databases: Store and manage data for web applications. Examples include MySQL (relational), PostgreSQL (open-source relational), and MongoDB (NoSQL for unstructured data). Back-end development is vital for dynamic, data-driven web applications.

4. Create Projects

Now, a common question for beginners is, “How do I pick a project?” Here are some tips:

• Learn about text editors that work well with the programming language you’re using. A good choice is Microsoft’s Visual Studio Code—it’s user-friendly and supports many programming languages.
• It’s perfectly normal to face challenges during your project. When you get stuck, don’t panic! There are awesome forums like StackOverflow where you can find solutions to your coding puzzles.

A lot of courses or resources focus on building one specific project, let’s say Tetris, but as someone who has learned programming from scratch, I would say building Tetris is not a good idea for a beginner, because it has a lot of complex features plus it does not give you a lot of application-based knowledge. Instead, I would recommend you to start with a couple of small projects like note-making or recipe-building apps, which give you holistic knowledge and application-based learning opportunities. Also, projects are good for your resume.

5. Discover Various Opportunities

Once you’ve grasped the basics of programming and built a portfolio, it’s time to start looking for internships. While there’s a high demand for tech talent, landing your first programming job can still be challenging. This is especially true if you’re a self-taught programmer, making an impressive portfolio crucial.

Prepare for technical interviews by spending time on platforms like LinkedIn. Beyond checking job boards for internships, tap into networking opportunities. Keep your professional profile updated with your career goals and achievements. Attend tech meetups and hackathons to uncover potential internship openings.

Completing an internship adds real-world experience to your resume, reinforcing your readiness for a job. Don’t hesitate to utilise your professional connections; make it known that you’re actively seeking employment. Additionally, continue working on personal projects—this is an excellent way to showcase your diverse skill set.

Tips to Learn Programming Faster & Effectively

If you’re thinking of learning to code, here are some helpful tips. 

1. First, focus on understanding how coding works instead of worrying about different languages. Learn the basics well, like data structures and syntax. Pick a coding language, stick with it, and get good at it before trying others. 
2. Practice coding a lot, solve problems with your hands, and try new things to get better. Writing out your code by hand is useful, especially for job interviews. Once you get the hang of the basics, learning new languages becomes easier.
3. Teaching others, participating in discussions, contributing to projects, and seeking help from online resources like GeeksforGeeks and YouTube are essential for a holistic learning experience. 
4. Figure out how to start a new project, open an existing one, and where your work gets saved. Knowing these things will make your coding experience less confusing and more enjoyable.
5. Lastly, be patient with yourself! Learning programming can be a bit challenging, and it’s okay not to understand everything right away. You might feel a bit lost sometimes, and that’s completely normal. Just stay patient, keep practising, and take breaks when you need to.

How to Learn Python with ChatGPT in 2024? 

For those diving into the world of Python programming, the path to proficiency can be guided by utilizing AI assistance. ChatGPT, with its interactive capabilities, becomes a valuable companion in this learning journey. Let’s explore how one can harness ChatGPT to master Python step by step.

1. Learn the Basics

When you’re starting to learn a new programming language, it’s like building the foundation of a house. Ask ChatGPT about:

• What are the basic data types in Python?
• How do I use variables and print words?
• Tell me about lists, tuples, and dictionaries in Python.
• Show me how to do if/else statements.
• Explain making loops with for and while.

This helps you get comfy with the essential building blocks before going deeper. ChatGPT can give you simple code examples and clear explanations.

2. Work on Easy Programs

Once you get the basics, try making simple programs. Ask ChatGPT for help with ideas like:

• Make a program turning Celsius to Fahrenheit.
• Write a script finding the biggest number in a list.
• Create a Mad Libs word game.
• Build a simple calculator with words.
• Make a game where you guess a number.

Doing these small programs helps you remember and understand what you learned. ChatGPT can give you a starting code and guide you through examples.

3. Learn Important Libraries

After you’re good with the basics, learn about important libraries for data stuff. Ask ChatGPT about:

• Numpy for numbers.
• Pandas for data.
• Matplotlib for making pictures.

Ask ChatGPT for help with each library. It gives you a summary, real-life examples, and things to practice. This gets you ready for harder Python work.

4. Find Project Ideas

When you know Python well, ask ChatGPT for project ideas. Ask about:

• Simple projects using Pandas and Matplotlib.
• Projects showing you’re good at Python.

ChatGPT gives ideas based on what you can do, like making a weather dashboard or a game. Doing these projects helps you get better at Python.

Conclusion

Diving into the world of programming is like giving orders to a computer in a special language. Remember, computers don’t think on their own; they follow our instructions. Now, if you’re eager to start this exciting journey, focus on understanding the basics first. Choose a programming language that suits your interests, like Python for websites or Java for apps. Learn the language well and grasp key concepts like data structures and algorithms. Don’t rush; take it step by step, and apply what you’ve learned by working on projects.

After covering the basics and completing a couple of projects, I highly recommend joining communities and participating in collaborative projects or exploring job opportunities in software development and data science. This will enable you to learn from experienced programmers through interactions and teamwork.

There isn’t a specific timeframe or phase when you’re done with the learning process; programming is an evolving field. New tools and technologies are constantly emerging. To truly build a career in this field, it’s crucial to embrace the learning process and continue working on new projects.