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Kudzai Murimi
Kudzai Murimi

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My Fast-Track Journey into Programming

I Took the Fast Lane to Coding and Regret It: Why Starting with C++, Java, or Python Could Save You Time and Sanity

In this article, I will share my experiences, the challenges I faced, the advantages of learning these languages first, and why it’s never too late to switch gears.

A few years ago, I stumbled upon a job that I desperately wanted. It required knowledge of a specific framework I had never heard of before. Determined to land the position, I skipped traditional programming languages like C++, Java, or Python and dove straight into learning the framework.

Fast forward, I got the job—but at a cost. What seemed like a shortcut turned into a series of challenges that made me question my approach. Reflecting on my journey, I realized how much smoother things could have been had I started with the foundational languages.

This article isn’t just about my mistakes—it's about helping you understand why starting with languages like C++, Java, or Python sets you up for success, both technically and mentally. Whether you're just beginning or considering switching paths, let me show you why it's never too late to start on the right foot.

Challenges of Skipping the Basic

1. Understanding Core Concepts Became a Nightmare

Many frameworks and libraries abstract away the core principles of programming. Without a solid foundation in languages like C++ or Java, I found it difficult to understand what was happening under the hood.

For instance, I struggled with:

  • Memory management: A concept heavily covered in C++ but barely touched in higher-level frameworks.
  • Object-oriented programming: Java teaches it methodically, but I had to piece it together through trial and error.

2. Debugging Felt Like Black Magic

Without knowing the basics, debugging became guesswork. For example, I didn’t understand stack traces—a skill Java or Python drills into you early on.

3. Limited Problem-Solving Skills

Higher-level frameworks focus on application-specific tasks rather than general problem-solving. This left me struggling when faced with unique challenges not covered in tutorials.

Why Start with C++, Java, or Python?

1. C++: Mastering the Foundations

C++ is often considered one of the most challenging languages, but its payoff is immense.

Here’s why:

  • Memory Management: Learning how pointers and memory allocation work gives you control over resource-intensive applications.
  • Speed: If you ever venture into game development or systems programming, C++’s performance is unmatched.

Example: A Simple C++ Program to Add Two Numbers

#include <iostream>
using namespace std;

int main() {
    int num1, num2, sum;
    cout << "Enter two numbers: ";
    cin >> num1 >> num2;
    sum = num1 + num2;
    cout << "The sum is: " << sum << endl;
    return 0;
}
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Through this, you'll learn variables, input/output, and basic syntax—all transferable to other languages.

2. Java: The King of Object-Oriented Programming

Java is structured, versatile, and introduces you to core programming principles.

  • Object-Oriented Programming (OOP): Concepts like inheritance and polymorphism are easier to grasp in Java’s structured environment.
  • Portability: “Write once, run anywhere” makes Java ideal for cross-platform development.

Example: A Basic Java Class

public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}
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Learning Java sets you up for Android development, enterprise software, and more.

3. Python: The Gateway Language

Python is beginner-friendly yet powerful. It’s used in data science, web development, AI, and more.

  • Readability: Its syntax is clean and easy to understand.
  • Versatility: From web apps to machine learning, Python does it all.

Example: Python Program to Check Even or Odd

num = int(input("Enter a number: "))
if num % 2 == 0:
    print(f"{num} is even.")
else:
    print(f"{num} is odd.")
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Python’s simplicity makes it a great first language while still offering pathways to advanced topics.

Why Certifications Matter

  1. Structured Learning: Certifications provide a roadmap for mastering a language.
  2. Credibility: Employers value certifications, proving your skills are industry-standard.
  3. Networking: Programs like Oracle’s Java Certification or Python Institute open doors to professional communities.

It’s Never Too Late 😊

As I reflect on my journey, I am excited to share that I have already begun learning Java, immersing myself in its rich ecosystem and powerful features. The structured nature of Java has provided me with a clearer understanding of object-oriented programming principles, and I find myself increasingly drawn to its applications in enterprise development and Android programming. With each passing day, I am more motivated to deepen my knowledge and skills, and I am actively preparing for certification. Achieving this certification will not only validate my understanding of Java but also enhance my credibility in the job market, opening doors to new opportunities and challenges in my programming career.

If you’re already using a specific framework or language, don’t worry—it’s never too late to backtrack. Switching gears to learn C++, Java, or Python can:

  • Deepen your understanding of coding principles.
  • Make transitioning between languages and frameworks easier.
  • Build confidence when debugging or problem-solving.

Advice for Beginners

  1. Start with One Language: Choose C++, Java, or Python based on your interests.
  2. Practice Consistently: Build small projects like calculators, to-do apps, or basic games.
  3. Join Communities: Platforms like Stack Overflow and GitHub accelerate learning.
  4. Don’t Fear the Hard Stuff: Learning memory management or OOP may seem daunting, but it pays off.

The Power of a Strong Foundation

If I could rewind time 🥹, I’d start with C++, Java, or Python. The foundational knowledge these languages offer makes learning any framework or advanced topic a breeze.

Your programming journey is yours to shape, but remember—a strong foundation can turn shortcuts into long-term success.

What’s your programming story? Let’s discuss in the comments below!

Top comments (3)

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euankennedy profile image
Euan

Ok so what was the framework/language you did start with? How long ago? And how did you come to acquire sufficient expertise in Java, Python and c++ to make the assertions that they would have been more helpful to start with? How many years into your programming career are you?

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respect17 profile image
Kudzai Murimi

I started my programming journey back in 2019 with a student FreeCodeCamp course, which I used for about a week. It gave me a foundation in basic web development concepts like HTML, CSS, and JavaScript. From there, I transitioned into learning React, which was a natural step for building modern, interactive UIs. After getting comfortable with React, I moved on to React Native to explore mobile app development.

In terms of expertise in like Java, I’ve dedicated time to learn this language through structured learning paths, personal projects, and practical problem-solving scenarios. I focused on Java for building object-oriented programs and understanding robust backend architectures. Resources like Oracle's official documentation and practicing on platforms like HackerRank and LeetCode helped me hone my skills. I am still actively learning Java and working toward becoming a Java Certified Developer to solidify my expertise further. In hindsight, starting with Java, MIGHT have been more helpful because they provide a stronger understanding of programming fundamentals, data structures, and algorithms right from the beginning. However, I’ve come to appreciate the practicality of my original path with JavaScript and React because it enabled me to build usable applications early on. As of now, I’m about 5 years into my programming journey. I continue to grow through self-study, project-based learning, and exploring new technologies. In today's job market, there’s a high demand for Python and Java developers due to their versatility and wide range of applications. Python dominates fields like data science, machine learning, and automation, while Java remains crucial for backend systems, enterprise solutions, and Android development. Pursuing expertise in either of these languages aligns well with industry trends and career opportunities

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euankennedy profile image
Euan

Nice, thanks for the extra info, that actually gives a bit more of the story behind your post. Well done for the progress and dedication you’ve put in to date and all the best with certification etc. 👏