AI Programming in 2023: Which Language Should You Choose?
Summary
TLDRThis 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
🌟 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.
🚀 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.
🛠️ 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.
Mindmap
Keywords
💡Programming Language
💡Python
💡Artificial Intelligence (AI)
💡Machine Learning
💡Deep Learning
💡Neural Networks
💡C++
💡Java
💡R Programming Language
💡Google Trends
💡Prototyping
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]
you
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