Why should I learn Python instead of Java?
Why should I learn Python instead of Java?
81 Answers
Originally Answered: What should I learn, Python or Java?
I Think Python is Best , Because in the Market There are Lot of Java Developers are there ,
Let me explain by Example
if you want to start Stationary business at your College , so you need to sell Books , Pens etc.. [all stationary items ] , But in your college already has stationary shop . In this case ….
do you want to start new stationary shop ?
No That’s Bad Idea , So You need to Start Some other Business Like Pizza, Burger Center , of course all students are likely to purchase food items .
In The Same Manner , Here Java is Like Stationary Shop . Pizza&Burger Shop is Python .
So you need Learn Best & High Growth Language , In the world There are Millions of Java Developers are there . Coming to Python this is Superb ,
Python Growth Rate is High, So Learn Python . Python also Now a day widely used in Machine Learning , Deep learning, Artificial Intelligence and Some other Advance Development
Better to learn Python in Online , i will Suggest you
Best Python Online Courses
- Complete Python Masterclass
- The Python Bible™ | Everything You Need to Program in Python[BEST]
- Become a Professional Python Programmer
Here you can take 2nd one.
Variables - Learn to conveniently store data in your programs!
Numbers - Learn how numbers work behind the scenes in your programs!
Strings - Master Python Text and automate messages using Strings!
Logic and Datastructures - Teach your program to think and decide!
Loops - Save time and effort, by making computers do the hard work for you!
Functions - Automate Tasks by Building your very own Python Functionsthat you can use over and over!
OOP - Add Python to Your Resumé By Mastering Object Oriented Programming, the industry programming standard!
Numbers - Learn how numbers work behind the scenes in your programs!
Strings - Master Python Text and automate messages using Strings!
Logic and Datastructures - Teach your program to think and decide!
Loops - Save time and effort, by making computers do the hard work for you!
Functions - Automate Tasks by Building your very own Python Functionsthat you can use over and over!
OOP - Add Python to Your Resumé By Mastering Object Oriented Programming, the industry programming standard!
So whether you want to get into Data Science, Web Development or make cool robots with the Raspberry Pi, The Python Bible gives you everything you need to get started on your path!
All The Best .
In my answer I will focus on the advantages of Python insted of listing the drawbacks of choosing Java.
At the beginning it’s worth to mention that the popularity of Python is constantly growing as you can see on the chart below:
It’s worth to mention that in the last five years, Python has gone from the least to the most popular programming languages. As you can see on this chart, forecasts says that Python has huge chances to be stron leader in next years.
Python is one of the Top 5 Programming Languages according to Tiobe Programming Index (Tiobe is the software quality company).
Demand on job market (the data from job listing website Indeed.com)
Python is definately in demand so you can be almost sure that you’ll get a job.
Here are also annual salaries of Python developers according to TechRepublic(taken from different portals):
A. IT Job Watch : £55,000 (sources its salary data from IT recruitment services in the UK)
B. Indeed: £52,000 (according to data from job adverts on its site)
C. Stack Overflow: $53,763 (based on its annual survey of more than 60 000 developers worldwide)
What Python can
It’s great for Web Development. It’s worth to add that such a popular web aplications as Google, Instagram, YouTube and even Quora use Python! You can read about Python Frameworks in the article: A Beginner's Introduction to Python Frameworks.
Thanks to various libraries it is great language for scientific computing. In shortcut there is list of 5 most popular Python scientific libraries and tools below:
- Astropy http://www.astropy.org
- Biopython http://biopython.org
- Pandas http://pandas.pydata.org
- matplotlib https://github.com/matplotlib/ma...
- NumPy http://www.numpy.org
If you want to get more information and to know more libraries and tools, you can check this article The most popular Python scientific libraries.
You can use Python for Machine Learning which is definitely on the rise nowadays. The ability of computers to learn from examples instead of operating strictly according to previously written rules is an exciting way of solving problems.
Python is the most popular language for machine learning. You can check an article Tutorial: Getting started with Machine Learning in Python. You will getyhe practical knowledge about the basic tool chain for implementing machine learning in Python.
It’s time for some practical examples of using Python.
I’ve found an articleabout Monovar, the computer program written in Python created to beat cancer. It’s an algorithm which helps in providing a more personalized treatment to cancer patients by pinpointing important variations in a single cancer cell. So, we can use it even to save life!
Not so long ago I heard that Netflix is using Python for automation and monitoring tools. Netflix uses it also to make sure movies stream without stopping.
Another example is using Python as a Technology Choice for Fintech. Python is an ideal programming language for the financial industry.
Widespread across the investment banking and hedge fund industries, banks are using Python to solve quantitative problems for pricing, trade management, and risk management platforms. Need a proof?- here is a list of Top 15 Fintech Companies that Include Python in Their Tech Stack.
It’s worth to mention that you can use Python also in insurtech (it’s a segment of fintech). Insurtechs are using cutting-edge data analytics and AI to drive innovation and introduce new products so Python is a perfect solution. I’ve got for you a list of 7 insurtech companies with Python in their tech stack.
What’s more if you’re interested in developing your knowledge about Python I can recommend you some conferences which are worth to visit (with links to the events):
You can read more about them in this article: 8 Python Conferences to Attend in 2018
I hope that my answer will be useful.
If you like my answer feel free to upvote it :)
Let's take the first program that's always mentioned in any programming language tutorial - yes - the 'Hello World' program.
In Java :
public class HelloWorld {
public static void main(String[] args)
{
System.out.println("Hello World");
}
}
In C :
#include<stdio.h>
int main()
{
printf("Hello World");
}
In Python :
print "Hello World"
I guess now you see why you should learn Python!
In Java :
public class HelloWorld {
public static void main(String[] args)
{
System.out.println("Hello World");
}
}
In C :
#include<stdio.h>
int main()
{
printf("Hello World");
}
In Python :
print "Hello World"
I guess now you see why you should learn Python!
Since I am a fan of C++, I will compare that with Python.
1. First and most important difference: Syntax
In C++ you normally get words that make sense with practice, but Python has a syntax very very similar to English commonly used while speaking. If you know SQL, then you can say Python syntax is somewhat similar to SQL except it is used for programming, not maintaining a database.
2. Level of Control/Programming:
C++ is considered an intermediate level programming language, i.e. it has some features where one can communicate with hardware directly while Python is a high-level programming language where no direct command to the hardware can be given by the programmer. This limits the programmer in Python, while C++ remains very powerful. In fact, it is the most powerful Object Oriented Language and has so far remained strong against the test of time thanks to this feature.
3. Code Size
Python would generally have smaller code size than C++ owing to the fact that in Python emphasis has gone to code readability. This is definitely an advantage especially when you reach debugging phase.
4. Constructs
Python introduces the Contruct library which has pre-defined code for data structures. One can define the data struct during declaration instead of having to perform any procedural programming unlike C++. However, I think C++11 onwards have some in-built libraries for data structures. Still, borland doesn't. And one shouldn't be using it anyway.
5. Interpreter
Python code goes through an interpreter before it is compiled, while C++ is pre-compiled. This makes C++ faster than Python (noticeable when making larger programs).
6. Memory Management
C++ has advanced tools like pointers to manage memory and gives a powerful tool to the programmer. In Python there are no pointers, but declarations for variables are also not necessary making memory management easier.
Overall:
Python is good for beginners, being a high level language which is easier to use and learn thanks to its memory management and syntax but is not quite as powerful as C++ or C nor as fast making C++ more efficient and a better, more powerful choice for experiences programmers than Python. However, for internet applications Python is a much better choice than C++ and it's success stories reflect that.
Major Applications in Python:
Youtube, DropBox, Google, Quora (yes, this Quora), Instagram.
One should learn Python especially if they are interested in going for internet applications or something. Learning could never hurt.
1. First and most important difference: Syntax
In C++ you normally get words that make sense with practice, but Python has a syntax very very similar to English commonly used while speaking. If you know SQL, then you can say Python syntax is somewhat similar to SQL except it is used for programming, not maintaining a database.
2. Level of Control/Programming:
C++ is considered an intermediate level programming language, i.e. it has some features where one can communicate with hardware directly while Python is a high-level programming language where no direct command to the hardware can be given by the programmer. This limits the programmer in Python, while C++ remains very powerful. In fact, it is the most powerful Object Oriented Language and has so far remained strong against the test of time thanks to this feature.
3. Code Size
Python would generally have smaller code size than C++ owing to the fact that in Python emphasis has gone to code readability. This is definitely an advantage especially when you reach debugging phase.
4. Constructs
Python introduces the Contruct library which has pre-defined code for data structures. One can define the data struct during declaration instead of having to perform any procedural programming unlike C++. However, I think C++11 onwards have some in-built libraries for data structures. Still, borland doesn't. And one shouldn't be using it anyway.
5. Interpreter
Python code goes through an interpreter before it is compiled, while C++ is pre-compiled. This makes C++ faster than Python (noticeable when making larger programs).
6. Memory Management
C++ has advanced tools like pointers to manage memory and gives a powerful tool to the programmer. In Python there are no pointers, but declarations for variables are also not necessary making memory management easier.
Overall:
Python is good for beginners, being a high level language which is easier to use and learn thanks to its memory management and syntax but is not quite as powerful as C++ or C nor as fast making C++ more efficient and a better, more powerful choice for experiences programmers than Python. However, for internet applications Python is a much better choice than C++ and it's success stories reflect that.
Major Applications in Python:
Youtube, DropBox, Google, Quora (yes, this Quora), Instagram.
One should learn Python especially if they are interested in going for internet applications or something. Learning could never hurt.
Python is a favorite among many developers for its strong emphasis on readability and efficiency, especially when compared to other languages like Java, PHP, or C++.
Sure, it’s old, but it’s 1980s old, not Cobol or Fortran old. Besides, if something works, why change it, especially when there are a so many ways to improve it.
Actually, depending on how you view it, longevity is a good thing in itself—a sign of stability and reliability.
If you’re like many people who first started out with Java, C, or Perl, the learning curve for Python is practically nonexistent. But the fact that it’s easy to learn is also the reason why some people don’t see Python as a necessary programming skill.
I’ll be honest with you, my love of Python didn’t really develop until a few years ago. It took a long career of painful lessons to appreciate everything this language and platform have to offer. My goal with this short post is to save you the same pain, and convince you why Python is something you need to know.
Python is easy to learn
Well, at least it’s “easier” when compared to many of the other programming languages available to you. There isn’t a lot of ceremony to Python’s syntax, which makes it readable even when you’re not a Python expert. My experience is that learning and teaching Python through examples is easier than approaching, say, Ruby or Perl the same way, since the syntax of Python has far fewer rules and special cases. The focus isn’t on language intricacies, it’s on what you want to accomplish with your code.
Python is Language of Choice
Python is a general-purpose interpreted, interactive, object-oriented and high-level programming language. Currently Python is the most popular Language in IT. Python adopted as a language of choice for almost all the domain in IT including Web Development, Cloud Computing (AWS, OpenStack, VMware, Google Cloud, etc.. ), Infrastructure Automation , Software Testing, Mobile Testing, Big Data and Hadoop, Data Science, etc.
Python Lets You Build More Functions With Fewer Lines Of Code.
Python is a quick study for anyone. With practice, you could easily build a rudimentary game in two days tops (and that’s coming from knowing absolutely nothing about programming).
Another factor that makes Python an attractive programming language for novices is its readability and efficiency.
Python is a versatile language and platform
Python will be 28 years old in 2017. Even though that’s older than many of my readers, it remains highly relevant because it can be applied to pretty much any software development or operations scenario you can find today. Managing local or cloud infrastructure? Python applies. Developing websites? Yep, it applies there too. Need to work against a SQL database? It does that. Need a custom function for Hive or Pig? Covered. Just building a small tool for yourself? Python’s simplicity makes it a great choice. Need a language that supports the rigor of object-oriented design? Python’s features make it relevant here, too. In short, investing a little effort into learning Python will give you skills that apply across a wide range of job roles.
Python has one of the most mature package libraries around
Once you know the language, you can leverage the platform. Python is backed by PyPI (pronounced Pie-Pie and perusable online here),which is a repository of more than 85,000 Python modules and scripts you can use immediately. These modules deliver prepackaged functionality to your local Python environment and solve problems as diverse as working with databases, implementing computer vision, executing advanced data analytics such as sentiment analysis, or building RESTful web services.
Python is a commonly-used language in data science
Whatever job you’re reaching for, data will be a part of it. IT Ops, software development, marketing, etc … they’re all drowning in data and thirsting for wisdom. Soon data analytics skills will be as necessary as coding skills, and Python has a strong presence in both areas. Next to the language R, Python is the most used language in modern data science; in fact, Python job postings outnumber R postings in the data science arena. The skills you develop learning Python will transfer directly to building these analytics skills.
Python is cross-platform and Open Source
Python’s been running cross-platform and developed as Open Source for more than 20 years. If you need code that works on Linux, Windows, and MacOS, Python provides. Moreover, it’s backed by decades of bug-squashing and kink-straightening to ensure that your code works as intended wherever you run it.
PYTHON IS FLEXIBLE.
There are several robust Python implementations integrated with other programming languages.
* CPython, a version with C
* Jython, or Python integrated with Java
* IronPython, which is designed for compatibility with .NET and C#
* PyObjc, or Python written with ObjectiveC toolkits
* RubyPython, or Python combined with Ruby.
Why you should know Python
There aren’t a lot of languages that can offer the versatility and simplicity of Python; there are even fewer that can do so alongside decades of thought, effort and community that has gone into Python. Whether you’re new to code or a script-spewing guru, Python is something you need to know.
Read more in the post below, which was originally published myTectra Blog
Comments
Post a Comment