Fundamentals 11 min read

10 Compelling Reasons to Learn Python in 2018 (And Why It Beats Java)

This article explains why Python has overtaken Java in popularity, presents PYPL index data, and outlines ten practical reasons—from data science and machine learning to web development and automation—that make learning Python in 2018 a smart career move.

21CTO
21CTO
21CTO
10 Compelling Reasons to Learn Python in 2018 (And Why It Beats Java)

Since May 2018 Python’s PYPL index surpassed Java, reaching 25.36% share versus Java’s 21.56%, the language’s popularity has continued to rise.

The PYPL index is based solely on Google Trends search frequency, offering a direct measure of programming language interest.

Below are ten compelling reasons to learn Python in 2018:

Data Science – Python’s extensive libraries such as NumPy, Pandas, SciPy, and TensorFlow make it the preferred language for data analysis, visualization, and machine‑learning projects, offering more versatility than R for many practitioners.

Machine Learning – Python’s ecosystem (scikit‑learn, Keras, PyTorch) and active community accelerate development of AI models, making it easier to experiment with algorithms compared to Java’s more limited offerings.

Web Development – Frameworks like Django and Flask let developers build robust web applications quickly, while Python’s simplicity reduces boilerplate code compared to PHP or Java‑based stacks.

Ease of Use – Python’s readable syntax and minimal setup (no classpath or compilation steps) lower the barrier for beginners, allowing immediate execution from any directory after installation.

Strong Community – Vast resources, Stack Overflow answers, and active forums provide rapid support for newcomers and seasoned developers alike.

Rich Libraries & Frameworks – From web (Django, Flask) to scientific computing (NumPy, SciPy) and AI (TensorFlow, Keras), Python’s package ecosystem accelerates development across domains.

Automation – Python excels at scripting repetitive tasks, as illustrated by a quick UDP‑message‑interception tool built in minutes, embodying the "Automate the Boring Stuff" philosophy.

Versatility – Whether building web apps, performing data analysis, or writing simple scripts, Python serves as a Swiss‑army‑knife for developers.

Career Growth – Python’s rapid adoption creates abundant job opportunities and higher salaries, especially in data‑driven roles, making it a strategic skill for long‑term career advancement.

High Salary – Python developers, particularly those specializing in data science, machine learning, or web development, command salaries ranging from $70,000 to $150,000 depending on experience.

Additional resources such as "The Complete Python MasterClass" and various online courses can help beginners start their Python journey effectively.

In summary, learning Python in 2018 equips developers with a powerful, versatile toolset that opens doors to web development, data science, automation, and high‑paying careers.

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

PythonCareer DevelopmentData Science
21CTO
Written by

21CTO

21CTO (21CTO.com) offers developers community, training, and services, making it your go‑to learning and service platform.

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.