AI Programming in 2023: Which Language Should You Choose?

Summary

This video explores the best programming languages for AI in 2021, highlighting Python's rapid rise in popularity due to its simplicity and powerful libraries. It compares Python with Java and C++, discussing their respective advantages in AI applications like machine learning, robotics, and game development. The video also touches on the synergy between Python and R for data science tasks and emphasizes the importance of choosing the right language based on project requirements and personal comfort.

Takeaways

• 🐍 Python is currently the most popular programming language for AI and machine learning due to its simplicity and flexibility.
• 📈 Google Trends data shows Python's popularity has been rapidly increasing over the past few years, surpassing Java and C++.
• 📚 Python's ease of learning, with syntax that's close to the English language, makes it accessible for beginners and experts alike.
• 📚 Python's extensive library support, including pre-built modules for AI, machine learning, and data analysis, is a significant advantage.
• 🔄 Python's portability and the massive community support make it an excellent choice for a wide range of applications.
• 🤖 C++ is often used in AI for gaming and robotics, where speed and efficiency are critical, and is known for its performance in implementing AI algorithms.
• 🔍 Java is well-suited for AI applications in networking and cybersecurity, as well as for visualization tasks.
• 🔄 R is commonly used in conjunction with Python for data science, particularly for statistical analysis and plotting.
• 🛠️ For production AI models where speed and efficiency are paramount, C++ might be preferred over Python.
• 🔧 The choice of programming language for AI should be based on the specific needs of the project, the developer's expertise, and the desired application.

Q & A

What is the main topic of the video?

The main topic of the video is determining the best programming language for AI in 2021, discussing various languages, their popularity, advantages, and disadvantages, and which language is most suitable for different applications and fields of interest.

According to the video, which programming language has been increasing in popularity over the last few years?

Python has been increasing in popularity, especially in the last three to four years, due to its simplicity, flexibility, and the availability of various modules.

What are some of the advantages of using Python for AI and general programming?

Python's advantages include ease of learning, a large number of pre-built libraries, platform independence, and extensive community support. It's also simple to write and has a syntax that is close to the English language.

Why is C++ often used in AI for gaming and robotics?

C++ is used in AI for gaming and robotics because it offers speed and efficiency, which are crucial for real-time interactions and performance in games and robotics applications.

What is the relationship between Python and R in the context of data science and AI?

Python and R are often used together in data science and AI. Python is used for general-purpose tasks, while R is utilized for statistical analysis, data modeling, and plotting, especially when dealing with large datasets.

What are some applications where Java might be preferred over Python or C++ for AI?

Java might be preferred for AI applications in networking, such as fraud or cyber attack detection, and for tasks that require visualization and complex systems integration.

Why might someone choose C++ over Python for certain AI applications?

C++ might be chosen over Python for AI applications that require high performance and efficiency, such as in the development of neural network libraries where speed is critical.

What does the video suggest for someone who is prototyping AI models quickly?

For those who are prototyping AI models quickly, the video suggests using Python due to its ease of use, simplicity, and the ability to create fast prototypes.

How does the video define the 'best' programming language for AI?

The video defines the 'best' programming language for AI as one that is most used, has good support, and is fast-growing. It suggests Python as the best for AI in 2021 based on these criteria.

What is the importance of choosing the right programming language for your specific AI application?

Choosing the right programming language for an AI application is important because different languages offer different advantages and are suited for different tasks. The choice can affect development speed, efficiency, and the ease of implementation.

Outlines

00:00

🌟 Best Programming Language for AI in 2021

The video discusses the best programming language for AI in 2021, highlighting Python's rapid rise in popularity due to its simplicity, powerful libraries, and flexibility. It compares Python's growth with Java and C++, noting the latter's steady popularity and Java's slight decline. The video emphasizes Python's advantages, such as ease of learning, vast library support, and community assistance, making it ideal for AI, machine learning, and data analysis. It also touches on the use of C++ for game AI and robotics, Java for AI in networking and cybersecurity, and R for statistical analysis in data science.

05:02

🚀 Utilizing Python and C++ for AI Development

This section delves into the practical applications of Python and C++ in AI development. It mentions that while Python is widely used for prototyping and research due to its ease of use and extensive library support, C++ is often employed for production environments where speed and efficiency are critical. The video suggests that Python's simplicity makes it a go-to for quick prototyping and data analysis, whereas C++, with its performance-oriented nature, is suitable for complex and efficient AI models. It also briefly discusses Java's role in AI for networking and visualization tasks, positioning it as a viable alternative for specific AI applications.

10:03

🛠️ Choosing the Right Programming Language for AI

The final paragraph wraps up the discussion by reiterating Python's dominance as the leading language for AI in 2021, attributed to its extensive support, versatility, and rapid growth. It acknowledges that while Python is highly efficient for prototyping and research, C++ and Java are also strong contenders, particularly for production and specific AI applications. The video concludes by emphasizing the importance of selecting the right programming language based on the nature of the project and personal comfort, suggesting that one can even start with Python and later optimize with C++ if needed. The presenter also invites viewers to subscribe and look forward to upcoming tutorials on deep learning and computer vision.

Keywords

💡Programming Language

A programming language is a formal language comprising a set of instructions used to produce various kinds of output. In the context of the video, programming languages are discussed as tools for artificial intelligence (AI) development. The video mentions several languages, including Python, Java, and C++, and their suitability for different AI applications.

💡Python

Python is a high-level, interpreted, and general-purpose programming language that is widely used for AI and machine learning due to its simplicity and powerful libraries. The video highlights Python's increasing popularity, ease of learning, and flexibility, making it a top choice for AI applications. It's noted for its pre-built libraries and community support.

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video discusses AI in the context of programming languages used to develop intelligent systems, such as machine learning algorithms and neural networks.

💡Machine Learning

Machine learning is a subset of AI that allows computers to learn from data and improve from experience without being explicitly programmed. The video mentions machine learning in relation to Python's utility for developing machine learning algorithms and its use by data scientists and researchers.

💡Deep Learning

Deep learning is a branch of machine learning based on artificial neural networks with representation learning. The video script refers to deep learning when discussing the use of Python for creating neural networks, indicating its importance in advanced AI applications.

💡Neural Networks

Neural networks are a set of algorithms modeled loosely after the human brain that are designed to recognize patterns. They are a crucial component in deep learning and are mentioned in the video as a key area where Python's capabilities shine.

💡C++

C++ is a high-performance programming language used where speed and efficiency are critical. In the video, C++ is highlighted as the second most popular language for AI, particularly in gaming AI and robotics, where it's used for reinforcement learning and other tasks requiring high computational speed.

💡Java

Java is an object-oriented programming language known for its 'write once, run anywhere' capability. The video discusses Java's application in AI, especially for networking, fraud detection, and visualization, positioning it as a strong alternative to Python and C++ for certain AI tasks.

💡R Programming Language

R is a programming language and environment commonly used for statistical computing, data analysis, and graphical representation. The video mentions R as a complementary language to Python, especially useful for data scientists working with large datasets and needing to perform statistical modeling.

💡Google Trends

Google Trends is a public web facility of Google that shows how often a particular search term is entered relative to the total search volume across various regions of the world, and in various languages. In the video, Google Trends data is used to illustrate the popularity and trends of different programming languages over time.

💡Prototyping

Prototyping in the context of software development refers to the creation of a preliminary model of software to test and demonstrate its feasibility. The video suggests that Python is particularly well-suited for prototyping due to its simplicity and ease of use, allowing for quick development and iteration.

Highlights

Python's popularity is rapidly increasing, especially in the last three to four years, making it a top choice for AI.

Java and C++ are seeing a slight decrease in popularity compared to Python, according to Google Trends data.

Python's simplicity and flexibility, along with its powerful modules, make it highly favored in the AI community.

Python's ease of learning and its syntax, which is close to the English language, are significant advantages.

Python boasts a wealth of pre-built libraries, especially for AI, machine learning, and data analysis.

C++ is often used in AI for gaming and robotics, where speed and efficiency are crucial.

Java is well-suited for AI in networking, fraud detection, and visualization tasks.

R programming language is frequently used alongside Python for statistical modeling and data analysis in AI.

The choice of programming language for AI should be based on the specific application and the developer's comfort.

For research and prototyping, Python's speed and ease of use make it an excellent choice.

For production where efficiency is key, C++ might be preferred over Python.

The presenter is conducting a deep learning tutorial using Keras, a framework supported across multiple languages.

The presenter also mentions a computer vision tutorial in C++ with OpenCV, indicating the language's versatility.

Python is declared as the best programming language for AI in 2021 due to its widespread use and community support.

C++ and Java are noted as strong follow-up choices, particularly for their performance in specific AI applications.

The video concludes with a call to action for viewers to subscribe and engage with the content for more tutorials.

Transcripts

hey guys and welcome to the new whittier

in this video here we're going to talk

about what the best programming language

is for ai in in 2021 and we're going to

talk about some of the languages and

which is the most popular one and we're

going to talk about some of the

advantages and disadvantages for

some of the programming language and

then we're going to talk about what is

the best programming language for your

application or you like your your field

of interest

so first of all here like let's see like

uh what is the best programming language

for like the population and the google

search on google trends so these are all

like um these are all the graphs from

google trends so the first graph here

shows like uh 15 years

back so the population and we can see

like the yellow graph here

is java and the red one here you see the

plus and then the blue one here is

python so we can see that the popularity

of python is increasing like lately in

within the last uh three to four years

so python is decreasing very fast and

it's growing really really fast because

it's just such a such a very powerful

and and simple language and and there's

a lot of different kind of modules uh

that you can use that we're going to

talk about and we can see that java and

civil plus is going a bit down compared

to uh what it was before

and if we look a bit closer here um like

if we take the last five years uh back

in time we can see that civil plus is

pretty steady here regarding like the

the popularity of the programming

language and we see that java is is is

is slowly decreasing

in popularity where python is just it's

just growing for each year that that is

going because it's just getting

developed so

so much and a lot of people uh really

like using python because of its

simplicity simplicity and flexibility of

python and like all of the different

kind of stuff it can do

so in this video here we're going to

talk about like what the best

programming language is and what what is

some of the uh some of the advantages

for some of the different kind of um

for some of the different kind of

programming languages for ai because you

can pretty much do like everything uh in

in in the programming language you want

but some of the programming languages

has some advantages uh where you might

use that programming language over

another for some different kind of

purposes and applications

so we're talking about python here so

python is the most popular

programming language right now regarding

artificial intelligence and also just in

general and it is widely used by

researchers with an ai and machine

learning sciences so machine learning

scientists that is doing some deep

learning and neural networks and also

just machine general machine learning

algorithms

and stuff like that then patent is

really good for that and for good for

development research and prototyping and

python is very very simple and flexible

so it's it's easy to learn as we can see

down here on the curve like here some of

the advantages of using python uh in

general and and specifically for

artificial intelligence so we have the

ease of learning is is really like it's

really good like it's easy to learn

python and write because it's it's

really close to english language

and we don't have to write that much of

a code and the syntax is really easy and

simple as well for python compared to

some of the programming languages like

cbs plus

and then we have these a lot of

different kind of pre-built libraries um

that we can just use in python so we

have these modules that we just can

import and there's a lot of pre-built

libraries out there for specifically

artificial intelligence both for um for

a day-to-day data data scientists who

are doing some data analysis or if

you're doing deep learning with network

networks um and other machine learning

algorithms then there's previous

libraries for all of those and you can

just import those and use them and a lot

of them are even like open source

um and it's also like platform dependent

python so it's really like it's very

portable as well and the computer into

support just massive like you can just

get information about python and support

uh in the community like there's a lot

of support out there and if you have

some different kind of errors or if

there's something you can't figure out

then you can just look it up on google

or stack holes or something like that

and because the support is just massive

and the programming is just getting

bigger and bitter bigger because it's

just so fast growing because of it its

advantages within general programming

but also in in ai specific

so we also have siebel's plus which is

the the second most popular programming

language regarding uh artificial

intelligence where siebel's plus is

often more used in games

for ai so if you have some different

kind of games where we're implementing

some ai or doing some different kind of

stuff then cbs plus is often used when

we're talking about games and ai

and siebel is also used a lot in

robotics for example if we have some

different kind of

reinforcement learning robots that need

to learn that task by interacting with

an environment so in this example i have

here where two robots are playing chess

against each other where we have this

game here where we can use some ai and

then we have these two robots here that

is trying to learn uh to play chess by

just using reinforcement learning uh and

stuff like that so simple plus is often

used for robotics and games

where ai is used for that

but we can also use it for like some

other different kind of things if we

want speed and efficiency for neural

networks like a lot of the different

kind of libraries uh from actual like

python is implemented in siebel plus so

you can use you can use those libraries

and modules and zebra spots as well and

then just use those for simplicity but

or like nothing to play the bar for

efficiency where you use python if

you're just doing some some quick

prototyping and

and you just want to like have it really

easy and really simple and portable

and a really good catch up to superplus

is java and diamond zipper plus is

really close to each other uh because

you can do a lot of a lot of the same

stuff with with those two languages but

if if if you if you have to go more

specific into like what java could be

used for then they could be used for

like artificial intelligence in

networking and if you're doing some kind

of like fraud or cyber attack detection

then java is really good for that and if

you're doing some visualization um as

well with your with your ai in

networking and stuff like that then java

is better to use than than cbs plus for

example but you can use

all the languages but some of them has

these advantages just over the others

and then if you know all the languages

and or you have a specific field you

want to learn language for uh then you

can go in and check like the advantages

that i'm going over in this we're here

and then you can see like what what can

fit my application or my field of

interest at best

so

also when we're talking about python and

we also need to mention a programming

language called r our programming

language so these two two programming

language here is often used together by

um

by data scientists so if you're doing

some data scientist and data analysis

you often use uh python and our

programming uh together and if you're

doing some different kind of like

statistic uh to taking

statistics modeling or like some

plotting some data or you're just

operating with really large data sets

then our programming

the our program language is really good

and very efficient for doing those exact

things within statistics where it is not

really good for general purpose uh task

as python is and some of those a

different kind of a programming language

that they

already had mentioned so

often python and our programming

language is used together because then

we use python for for doing like the

more general stuff and then when we have

a specific task within

statistics for the data scientist then

they're using uh our programming

language to do some plots and some

statistical models and stuff like that

so it's really useful to use sansa

languages together and not just use one

language but to be flexible and flip fit

the language to the kind of like

application uh that you want

so last slide here we're going to talk

about when to use use which language and

as we're always also talk already talked

about like python is the most used

language for ai and is it the fastest

growing language both for ai but also

for general purpose programming

and if you're talking about research or

production like which language you

should use and speed and efficiency

is important then use your idea like go

and use subspace instead of python

if you're doing some production and

speed if and efficiency is important

because like some of the some of the

actual like modules that is that is like

used in python is actually like coded

and implemented in zebra's plus so and

all the modules like some of the modules

it's also like supported with cospos so

if you need some production and a bit

more

complex and and efficient models and

stuff like that then you should

definitely use uh cbs plus over python

or um or some of the other programming

languages

but if you're just doing some

prototyping or some research and you

just want to like make a fast prototype

and see like how it performs and play

around with it and do some plotting of

data and data analysis as well then

python is really um really efficient and

really really important to use

if you're doing those kind of

application

but again it all depends on your

applications or like the field you're in

or the field that you're interested in

learning something in

because it's just possible to use

almost all the languages for the same

things but the languages have their

advantages and disadvantages as we've

been over in this video here so you can

actually like use

[Music]

you can actually like do both

machine learning algorithms and deep

learning neural networks in all of these

programming languages here and many of

the packages and modules

is actually like supported in all the

languages so i'm currently doing a um

deep learning tutorial where we're using

a framework called keras and characters

i feel like support in all those

languages here that we've been over like

uh cbs plus and python and java and also

some javascript and some other different

kind of programming languages where uh

where you can do

deep learning and neural networks

so it really depends on

what you're most comfortable with and

and you're gonna try to like use it for

your application so

you it's not because you can't use the

python for production or you can't use

sequence plus four for research because

you can use all of them uh for the same

things but they have some advantages and

disadvantages over each other and it's

really up to you to like find out what

is the best one so i think that the best

programming language of of these who

ever mentioned here is definitely python

because it's just the most used language

for ai the support is really good and

it's really fast for growing and there's

like kind of no boundaries for

what you can do in python if you're just

doing some um some different kind of

prototyping or research then python is

really really efficient and you can even

like first do it in python and then if

you need the speed and efficiency then

you can do in cpus plus but i i think

that the best programming language for

ai in in 2021 is is definitely python

and then super class and java is a good

follow-up programming language so it

really depends it's really up to you and

it depends on what you feel most

comfortable with and what you're work

with the most and also like the kind of

applications uh you're currently doing

so thank you guys for watching this

video and remember to subscribe button

the bell notification under the video

and also like this video here if you

like the content and you want more in

the future i'm currently also doing a

deep learning tutorial where we're going

over some new networks we're talking

about like how neural networks work and

we're also going to create some of the

neural networks train them and do

predictions uh with the trained neural

networks and i'm also doing a computer

vision tutorial in cbs plus um with

opencv so if you're interested in one of

those tutorials i'll link to one of them

up here or else i'll just see the next

video guys bye for now

[Music]

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