#programming_language

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[bfitgroup]

Best Programming Languages to Learn for Computer Science Engineering in 2025

Software applications together with websites and other digital assets require programming languages to create them in the current technological environment. Computer science engineering students need to understand the important programming languages they should learn to achieve future professional outcomes. The understanding of future sought-after programming languages together with their applications and salary patterns becomes essential for 2025.

The following blog analyzes the leading programming languages that students should study for 2025. This article analyzes programming languages by their usage along with their applications and features while providing statistical data regarding 2025 job market demand together with salary potential.

1. Python

Usages, Applications, and Features

Python is the choice of many users because its straightforward syntax works well for early learners. The programming language serves multiple purposes including analysis, machine learning, artificial intelligence, web development, and automation functions.

Job Market Demand and Salary Trends

The Stack Overflow Developer Survey 2025 indicates that Python will remain the dominant programming language and its expert employment demand will expand by 15% from 2023 to 2025. The salary range in this field stretches between $90,000 and $150,000 depending on the professional experience of the expert.

Potential for Employment and Wage Growth

The demand for Python developers is expected to continue rising, especially in data science and AI roles, leading to good job prospects and wage growth of 20% to 30% over the next few years.

2. JavaScript

Usages, Applications, and Features

JavaScript stands as the core technology for web development through which developers build interactive websites. The framework serves as the base for multiple contemporary programs including React, Angular, and Vue.js for building user interfaces.

Job Market Demand and Salary Trends

According to the TIOBE Index JavaScript will maintain its position among the top three programming languages in the upcoming year of 2025. Job demand for JavaScript developers is expected to grow by 12% by 2025, with salaries ranging from $80,000 to $130,000.

Potential for Employment and Wage Growth

The expanding e-commerce industry and growing demand for online services make JavaScript skills vital for the future, which leads to promising career opportunities and possible salary growth of 10% to 15%.

To learn more, visit: https://bfitgroup.in/best-programming-languages-to-learn-for-cse-in-2025/

[edujournalblogs]

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C# is a general purpose programming language, created by Microsoft, that provides fast and robust cross platform application development. You will learn to build Desktop Applications, Mobile Apps, Web Applications and Game Development Applications. You can also build solutions for Internet of things, Machine Learning, Cloud-First Development and Console Applications. You can become a Web or Mobile App Developer, Game Developer, IoT Developer, Test Automation Engineer. You will develop your skills by doing various tasks and build professional level projects which you can proudly showcase in your portfolio.

As per January 2023 ranking, C# is ranked among the top 5 popular programming languages beating JavaScript, GO etc., BUT, Python continues to lead. JavaScript, which is a Dynamic Language, can get you up in speed. However, the downside of Dynamic Languages becomes more and more evident when projects grows in age, size and developers of different experience levels work on the same project. The ranking of popular programming languages is as follows as on January 2023:

1 Python 16.36% 2 C 16.26% 3 C++ 12.91% 4 Java 12.21%

5 C# 5.73%

C# is a versatile, general purpose programming language widely used in industries for powerful application development. Learning C# and asp.net together will provide you the OnDemand skills to build robust applications and enable you to have your dream career. For more details about the course , please contact Edujournal (www.edujournal.com).

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[toxictoxicities]

https://en.wikipedia.org/wiki/APL_(programming_language)

This was quite cool to learn about though! Despite me not doing jack in programming seeing it has something to do with DNA (well just profiling) is exciting, Iterators could lowkey use this with Bioengineering, assisted with CRISPR (I've done a SHIT ton of research on that) it would be cool to create a library of desirable alleles and organize it via APL, but there may be better ways tbh -shrugs-

I don't plan on going too deep with how Iterators make shit XD

[horrible-monstrosity]

https://programming.dev/c/programming_languages

why does every single fucking instance just have to be fucking pozzed as fuck, why

[mercimeksi]

python language

Can you tell me a little bit about python language?

Sure. Python is a high-level, general-purpose programming language. It is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.

Python is one of the most popular programming languages in the world. It is used in a wide variety of applications, including web development, data science, machine learning, and artificial intelligence. Python is also a popular language for teaching programming, as it is easy to learn and use.

Here are some of the benefits of using Python:

It is easy to learn and use.

It is powerful and versatile.

It has a large and active community of developers.

It is free and open source.

It is supported on a wide variety of platforms.

If you are looking for a powerful and versatile programming language that is easy to learn and use, then Python is a great choice.

Here are some of the things that you can do with Python:

Create web applications.

Develop data science and machine learning applications.

Build artificial intelligence applications.

Automate tasks.

Write scripts.

Create games.

And much more!

If you are interested in learning more about Python, there are many resources available online and in libraries. You can also find many online tutorials and courses that can teach you the basics of Python.

Sources

1. co-design.pop-coe.eu/languages/python.html

2. github.com/kushagrasingh772/CollegeCrypto

3. en.wikipedia.org/wiki/Python_(programming_language)

What are the Data Structures and Algorithms in Python?

Data structures and algorithms are the foundation of computer science. They are the building blocks that are used to create efficient and effective software. Data structures are used to store and organize data, while algorithms are used to manipulate data.

There are many different data structures and algorithms, each with its own strengths and weaknesses. The choice of which data structure or algorithm to use depends on the specific problem that you are trying to solve.

In Python, there are many built-in data structures and algorithms that you can use. You can also create your own data structures and algorithms.

Here are some of the most common data structures in Python:

Lists

Tuples

Sets

Dictionaries

Stacks

Queues

Trees

Graphs

Here are some of the most common algorithms in Python:

Searching

Sorting

Traversal

Graph traversal

String manipulation

Mathematical operations

If you are interested in learning more about data structures and algorithms, there are many resources available online and in libraries. You can also find many online tutorials and courses that can teach you the basics of data structures and algorithms.

Here are some of the benefits of learning data structures and algorithms:

You will be able to write more efficient and effective code.

You will be able to solve more complex problems.

You will be able to understand how other people's code works.

You will be more marketable to employers.

If you are serious about becoming a software engineer, then you should learn data structures and algorithms. They are the foundation of computer science and they are essential for writing efficient and effective code.

Can you tell me about the list in Python?

Sure. In Python, a list is a data structure that can store an ordered collection of elements. Lists are mutable, which means that they can be changed after they are created. Lists are created using square brackets [].

Here are some examples of lists:

# A list of strings my_list = ["Hello", "World"]

# A list of numbers my_list = [1, 2, 3]

# A list of mixed data types my_list = ["Hello", 1, 2.5]

You can access the elements of a list using their index. The index of an element is its position in the list, starting at 0.

Here are some examples of how to access the elements of a list:

# Get the first element of the list first_element = my_list[0]

# Get the last element of the list last_element = my_list[-1]

# Get the elements from the 2nd to the 4th index elements = my_list[1:4]

You can also add, remove, and change the elements of a list.

Here are some examples of how to add, remove, and change the elements of a list:

# Add an element to the end of the list my_list.append("Goodbye")

# Remove the first element of the list my_list.pop(0)

# Change the second element of the list my_list[1] = "New value"

You can also iterate over a list using a for loop.

Here is an example of how to iterate over a list:

for element in my_list: print(element)

This will print all of the elements of the list, one per line.

Lists are a very versatile data structure that can be used for a variety of tasks. They are a great way to store and organize data, and they can be used to perform a variety of operations on data.

example for iterate over a list

[devsnews]

Java and Python are two of the most popular programming languages. They have similarities, such as being platform-independent, object-oriented, and large communities. However, they also have many differences that can affect their suitability for different projects. This article is about exploring these Differences and Similarities.

[abshort7]

If you want to become a blockchain developer then here are some great public blockchains you can create a decentrailsed app on. You might be looking for Ethereum. But to be honest I don’t think anyone can create a scalable app on Ethereum solely. That’s why I have not added here. You should definitely start with Etherum if you are getting started and learning but not if you are building a scalable app. Other blockchain you can use: ✧ Tron (Public blockchain) ✧ Hyper ledge fabric (private blockchain) ✧ Polkadot (Public blockchain) Which blockchain do you prefer? Let me know in comments. Want to connect? DM me! 💬 #programming #coding #developer #flutter #flutterdeveloper #programmerlife #programming_language #nodejs #softwaredeveloper #learntocode #frontenddeveloper #developerspace #developerstuff #blockchainrevolution #blockchaindevelopers #blockchaindev #appdeveloper #programmingtips #programmingisfun #programminglanguages #programmingislife #learnprogramming #blockchaintechnology #polygon #tezos (at Bengaluru) https://www.instagram.com/p/Ckj81SeodUa/?igshid=NGJjMDIxMWI=

[code-slayer]

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[ansari-tech]

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[devsnews]

A Compiler Writing Playground is a tool that can be used to help people learn how to write compilers. It provides an interactive environment for students to experiment with writing code for a compiler and test their code for correctness. It can also help debug existing compilers and improve their performance. In this article, you will learn about compiler execution phases and also guide you to write a simple compiler in Javascript that able to compile Lisp statements into Javascript.

[dailytech-info]

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