search
HomeBackend DevelopmentPython TutorialPython for Javascript Newbies

From JavaScript to Python: A Smooth Transition?

As a new programmer, the possibilities seem endless. What projects should I tackle next? What skills must I master? For me, the path leads to Python. But can I realistically learn a new language when I haven't fully mastered JavaScript?

Python's Reputation: User-Friendly Powerhouse

Python is known for its readability; its variables feel surprisingly similar to JavaScript's. Many praise its concise, clear syntax, making it a popular first language for aspiring developers eager to start coding immediately.

But will these similarities cause confusion? To find out, I'm creating a Python primer – a cheat sheet to help me (and hopefully you!) leverage our JavaScript knowledge to get a head start.

The Cheat Sheet: From Similar to Different

This cheat sheet works backward: from the most similar aspects to the most significant differences. I'll focus on areas I anticipate will be most challenging for me.

Striking Similarities

  • High-level interpreted languages
  • Support for functional and imperative programming paradigms
  • Lexical scoping
  • Object-oriented programming

Primitive Data Types: Mostly Familiar

  • Strings: Sequences of characters in quotes, immutable (just like JavaScript).
  • Numbers: Python distinguishes between integers (int) and floating-point numbers (float), unlike JavaScript's single Number type.
  • Booleans: JavaScript uses true and false; Python uses True, False, and a bool() function.
  • No Value: Python uses None, while JavaScript uses null and undefined.

Functional Equivalents: Minor Tweaks

Feature JavaScript Python
Variable Case camelCase snake_case
Console Output console.log() print()
Single-Line Comment // #
Multi-Line Comment /* ... */ ''' ... '''
Arrays/Lists [array] [list]
Objects/Dictionaries {object} {dict}

Conditionals: A Tiny Surprise

The if...else if...else structure translates to if...elif...else in Python – a delightfully concise change!

JavaScript:

let weather = 'rainy';

if (weather === "sunny") {
   console.log("It's a sunny day!");
} else if (weather === "cloudy") {
   console.log("It's cloudy.");
} else if (weather === "rainy") {
   console.log("It's raining!");
} else {
   console.log("Unknown weather.");
}

Python:

weather = 'rainy'

if weather == "sunny":
    print("It's a sunny day!")
elif weather == "cloudy":
    print("It's cloudy.")
elif weather == "rainy":
    print("It's raining!")
else:
    print("Unknown weather.")

Potential Pitfalls: Syntax and Declarations

Here's where things get interesting (and potentially confusing):

  • Whitespace Sensitivity: Python uses indentation to define code blocks, replacing semicolons and curly braces. While proponents claim this enhances readability, I fear it might lack the clarity of JavaScript's syntax.

  • Variable Declarations: JavaScript's var, let, and const are absent in Python. While function declarations use def instead of function, this is a relatively straightforward adjustment.

JavaScript Function:

function add(a, b) {
   return a + b;
}

Python Function:

def add(a, b):
   return a + b

Python for Javascript Newbies

Conclusion: Embracing the Challenge

The transition from JavaScript to Python offers a unique blend of familiarity and new challenges. Python's clear syntax and versatility make it attractive, especially for developers wanting to expand their skillset. With a solid JavaScript foundation, I'm confident I can become proficient in Python.

Sources:

  • Python 101 for JavaScript Developers
  • How to Learn Python for JavaScript Developers
  • W3Schools Python Booleans
  • W3Schools Python Introduction
  • Image created with Canva

The above is the detailed content of Python for Javascript Newbies. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software