Python or JavaScript - Which One Should YOU Learn?

Tech With Tim
10 Feb 202408:05

Summary

TLDRThis video script offers a concise comparison between Python and JavaScript, emphasizing their suitability for different development areas. It highlights that both are beginner-friendly, in high demand, and can lead to tech careers. JavaScript is better for front-end development and user interfaces, while Python excels in back-end, data analysis, and AI. The script advises choosing a language based on project type or job interest, noting that learning one makes learning the other easier, and encourages starting with one to then expand skillsets as needed.

Takeaways

  • πŸ˜€ Both Python and JavaScript are beginner-friendly and in high demand, making them excellent choices for those starting in programming.
  • πŸ”„ It's common for developers to learn one language first and then quickly pick up the other, as they complement each other well.
  • πŸ”§ Both languages are dynamically typed, offering flexibility in writing code but may not be best for large applications or performance-critical tasks.
  • πŸ“š Learning one language will not teach you a drastically different set of features than the other; syntax differences are relatively easy to learn.
  • πŸ–₯️ JavaScript is more focused on the frontend, enabling the creation of visual user interfaces and websites.
  • πŸ’‘ If you're aiming for a frontend or full-stack developer role, JavaScript is the recommended language to learn first.
  • πŸ”’ Python is more backend and data-focused, making it ideal for AI, automation, machine learning, and data analysis tasks.
  • πŸ› οΈ Frameworks and libraries are crucial for building large applications, with JavaScript having popular frontend frameworks like React, Vue, and Angular, and Python having libraries like pandas, numpy, and scikit-learn.
  • πŸ”‘ Knowing the type of projects you want to build or jobs you're interested in can guide your language choice, as certain languages and tools are more suited for specific tasks.
  • πŸ› οΈ Despite their specialties, both languages are versatile and can be used to build a wide range of applications, though they may not always be the most efficient choice.
  • πŸ›‘ The speaker suggests that if you're unsure, pick one language, learn the basics, and transition to the other if needed.
  • πŸ“ˆ The speaker offers resources for learning both languages, including free videos and a premium software development course with a specialization track.

Q & A

  • Which programming language should one choose to start learning, Python or JavaScript?

    -The choice between Python and JavaScript depends on what you want to build or the area of development you want to specialize in. Both are beginner-friendly and in high demand.

  • What are the similarities between Python and JavaScript mentioned in the script?

    -Python and JavaScript are both beginner-friendly, relatively easy to learn, in extreme demand, and can lead to a career in tech. They are also dynamically typed, which makes them flexible but not the best for large applications or performance-critical tasks.

  • Why is it beneficial to learn both Python and JavaScript according to the script?

    -Learning both Python and JavaScript is beneficial because they complement each other well. Most developers learn one first and then quickly learn the other, as the basics can be easily transferred between the two languages.

  • What type of projects is JavaScript more suited for based on the script?

    -JavaScript is more suited for front-end development, creating user interfaces, and making visually interactive applications. It is also the language to learn for front-end or full-stack developer positions.

  • What are some popular front-end web frameworks associated with JavaScript mentioned in the script?

    -Some popular front-end web frameworks associated with JavaScript are React, Vue, and Angular.

  • What type of projects is Python more suited for according to the script?

    -Python is more suited for back-end development, data analysis, AI automation, machine learning, automation tasks, and scripting. It is not as easy to create front-end or visual applications with Python.

  • What are some popular libraries and frameworks in Python for data science and automation tasks?

    -Popular libraries and frameworks in Python for data science and automation tasks include pandas, numpy, scikit-learn, and natural language toolkits.

  • What advice does the script give for someone unsure about which language to learn?

    -The script advises to pick one language, learn the basics, and then it will be easy to switch to the other language if needed. It also suggests looking at the languages, frameworks, and packages used for the projects or jobs of interest.

  • How does the script describe the role of frameworks and libraries in learning a programming language?

    -The script describes frameworks and libraries as external tools that are used to create applications. They are particularly important when building large applications and are often in demand as their own skill alongside the base programming language.

  • What is the script's perspective on the general purpose nature of programming languages?

    -The script emphasizes that all programming languages are tools to achieve something, and knowing one allows you to build many different types of applications. It also mentions that just because a language is not the best at a certain task doesn't mean it can't be used for it.

  • What resources does the script recommend for learning Python and JavaScript?

    -The script recommends free videos on the author's channel for learning the basics and a premium software development course with course careers for a more serious and committed approach to learning programming.

Outlines

00:00

πŸ’» Choosing Between Python and JavaScript

The video script discusses the decision between learning Python or JavaScript, emphasizing that the choice depends on the type of projects one wants to build or the area of development one wishes to specialize in. Both languages are beginner-friendly, in high demand, and can lead to a career in tech. The speaker suggests sticking with whichever language one is currently learning, as they are great complements to each other. They are dynamically typed, which makes them flexible but potentially less suitable for large-scale or performance-critical applications. The main difference lies in their typical use cases: JavaScript is more focused on front-end development, creating visual interfaces and websites, while Python is better for back-end development, data analysis, AI, and automation. The speaker also mentions that learning one language doesn't preclude learning the other later, and that most developers learn both.

05:01

πŸ› οΈ General Purpose and Frameworks in Programming

The second paragraph continues the discussion on Python and JavaScript, highlighting their versatility as general-purpose languages. It mentions that while both can be used to build a wide range of applications, they have their strengths in different areas. For instance, Python can be used for web development but is not the best choice for front-end tasks, which are better suited for JavaScript. Conversely, JavaScript is not ideal for data analysis and machine learning tasks, which are Python's forte. The paragraph also touches on the importance of frameworks and libraries associated with each language, such as React, Vue, and Angular for JavaScript, and pandas, numpy, and scikit-learn for Python. The speaker advises learners to consider the type of projects they want to work on and the job roles they are interested in, as this will influence the language and tools they should learn. The video concludes with a recommendation to start learning one language and then transition to the other as needed, suggesting that learning the basics of one makes it easier to pick up the other later.

Mindmap

Keywords

πŸ’‘Python

Python is a high-level, interpreted programming language known for its readability and concise syntax. It is widely used for web development, data analysis, artificial intelligence, and scripting. In the video, Python is presented as a language that is particularly suited for backend development, data analysis, and automation tasks, emphasizing its strength in handling data and its role in machine learning and AI.

πŸ’‘JavaScript

JavaScript is a programming language primarily used for enhancing web pages with interactive elements. It is an essential part of web development, allowing for front-end manipulation and user interface creation. The video script highlights JavaScript's role in front-end web development, its use in creating interactive websites, and its importance for front-end and full-stack developer positions.

πŸ’‘Beginner friendly

The term 'beginner friendly' refers to the ease with which new learners can start with a particular programming language. Both Python and JavaScript are described as beginner friendly in the script, suggesting that they have simple syntax and are accessible to those new to programming, making them suitable choices for a first language to learn.

πŸ’‘Dynamically typed

Dynamic typing is a feature of programming languages where the type of a variable is determined at runtime. The script mentions that both Python and JavaScript are dynamically typed, implying that they offer flexibility in writing code without the need to explicitly define variable types, although this may not be ideal for large applications or performance-critical tasks.

πŸ’‘Front-end development

Front-end development focuses on the user interface and user experience of a website or application. The video script discusses JavaScript's strong association with front-end development, as it is used to create visual elements and interactive features on web pages, making it a key skill for front-end developers.

πŸ’‘Back-end development

Back-end development involves server-side processes, databases, and application logic that users do not directly interact with. Python is highlighted in the script as a language that is more focused on back-end development, particularly in areas such as data analysis, AI, and automation, where server-side processing is crucial.

πŸ’‘Frameworks

In the context of programming, a framework is a platform that provides pre-written code to make the development process faster and more efficient. The script mentions JavaScript frameworks like React, Vue, and Angular, which are used for building scalable front-end applications, and Python frameworks like Django and Flask, which are used for back-end development.

πŸ’‘Libraries

Libraries in programming are collections of pre-written code that can be used to perform certain tasks without having to write the code from scratch. The video script refers to Python libraries such as pandas, numpy, and scikit-learn, which are essential for data science and machine learning tasks, and contrasts them with JavaScript libraries that are more focused on front-end development.

πŸ’‘Career

The term 'career' in the script refers to the professional path one might choose in the field of programming. The video discusses how the choice between Python and JavaScript can influence the types of careers one might pursue, such as front-end development with JavaScript or data analysis with Python.

πŸ’‘Specialization

Specialization in programming refers to focusing on a specific area of development, such as front-end or back-end development. The script suggests that after learning the fundamentals of programming with either Python or JavaScript, one can then specialize in areas like front-end, back-end, or DevOps, depending on their interests and career goals.

Highlights

The choice between Python and JavaScript depends on what you want to build or specialize in.

Both languages are beginner-friendly, in high demand, and can lead to a tech career.

Developers often learn one language first, then quickly learn the other.

Both languages are dynamically typed, offering flexibility but potentially lacking in performance for large applications.

Learning one language won't teach you drastically different features from the other.

JavaScript is more focused on front-end development and creating visual interfaces.

Python is better for back-end, data analysis, AI, automation, and scripting.

Frameworks and libraries are essential for building large applications and differ between the languages.

JavaScript frameworks like React, Vue, and Angular are popular for front-end web development.

Python frameworks like pandas, numpy, and scikit-learn are tailored for data science and automation.

Knowing one language allows you to build many types of applications, even if it's not the best at it.

Programming languages are tools; pick the best one for the job you want to perform.

It's common to learn JavaScript first and then learn Python for specific tasks.

If unsure, pick one language to start with, and it's easy to transition to the other later.

The speaker offers free videos and a premium software development course for learning these languages.

Transcripts

play00:00

Python or JavaScript,

play00:01

which should you learn.

play00:03

Let me break it down for you

play00:04

as simply as possible.

play00:06

Ultimately,

play00:07

what's going to determine

play00:08

the language you pick comes

play00:09

down to what

play00:09

you want to build or what

play00:11

area of development

play00:12

you want to specialize in.

play00:13

Both languages

play00:14

are great choices,

play00:15

but what they're best,

play00:16

that differs quite a bit.

play00:18

So let's start with

play00:19

what's the same

play00:19

for both languages?

play00:21

They're both beginner friendly,

play00:23

relatively easy

play00:24

to learn in extreme

play00:25

demand, and can lead

play00:26

you quite quickly

play00:27

into a career in tech.

play00:29

Either is a great choice

play00:30

to start with

play00:31

and if you're already

play00:31

learning one, I'd recommend

play00:33

stick it out.

play00:34

Get the basics down

play00:35

and then you can easily switch

play00:36

to another language afterwards.

play00:38

In fact, most developers

play00:39

I know, including myself,

play00:41

will learn

play00:41

one of these languages first,

play00:43

then very quickly after,

play00:44

learn the other one.

play00:45

They're great complements

play00:46

to each other,

play00:47

so if you're already

play00:47

learning JavaScript,

play00:48

stick it out.

play00:49

If you're already

play00:50

learning Python,

play00:51

stick it out,

play00:51

and then later on

play00:52

you can very quickly

play00:53

pick up the other language.

play00:54

Now, another

play00:55

thing you need to know

play00:56

is that both of these languages

play00:57

are dynamically typed.

play00:59

Now, to put it simply,

play01:00

what that means is

play01:01

they're a little bit

play01:01

more flexible to write code in,

play01:03

but they may not

play01:03

be the best choice

play01:04

for really large applications

play01:06

or anything

play01:07

that's performance critical.

play01:09

But what that does mean

play01:10

is that learning

play01:10

one of these languages

play01:11

is not going to teach you

play01:12

a drastically different

play01:13

set of features

play01:14

than the other one.

play01:15

So rest assured,

play01:16

if you pick JavaScript,

play01:17

almost everything you know

play01:19

is probably going to apply

play01:20

to Python.

play01:21

Same with Python.

play01:22

Most of what you learn

play01:23

there is going to apply

play01:24

to JavaScript.

play01:25

The main difference will be

play01:26

some specific syntax features

play01:28

that you can pick up

play01:29

pretty quickly.

play01:30

So picking the wrong

play01:31

language is not

play01:32

a massive mistake

play01:33

and at the end of the day

play01:34

you just want to get started,

play01:35

but it'll give you

play01:35

some information that can help

play01:37

you make that decision.

play01:38

So now let's

play01:38

get into the main differences,

play01:40

keeping in mind

play01:41

what I said before,

play01:42

that you want to focus

play01:42

on the outcomes

play01:43

and the type of projects

play01:44

you can build.

play01:45

So with JavaScript,

play01:46

you're going to be working

play01:47

a lot more on the front end.

play01:48

It's going to be

play01:49

a lot more visual

play01:50

and you're going to be able

play01:51

to create user interfaces,

play01:53

make websites and immediately

play01:54

just make more visual,

play01:56

intractable applications

play01:58

compared to a language

play01:59

like Python.

play02:00

If you're someone

play02:00

who wants to land a job

play02:02

and you're

play02:02

looking at frontend developer

play02:03

positions or full stack

play02:05

developer positions,

play02:06

JavaScript is 100%

play02:07

the language

play02:08

that you should be learning.

play02:09

It very quickly

play02:10

allows you to interact

play02:11

with HTML and access,

play02:13

and by learning JavaScript

play02:15

as a product of that, you're

play02:16

probably going to learn

play02:17

a bit more about HTML, CSS

play02:19

and frontend web

play02:20

development in general.

play02:22

Now to compare

play02:22

that with Python, Python's

play02:24

a lot more focused

play02:24

on the back end,

play02:25

and with data, it's

play02:27

really big for data analysis.

play02:29

So if you're someone

play02:29

who's interested

play02:30

in AI automation, machine

play02:33

learning, backend web

play02:34

development, automation tasks

play02:36

or scripting

play02:37

Python is going to be

play02:38

your go to

play02:39

is definitely not

play02:40

as easy to create front

play02:41

end or visual

play02:42

applications with Python.

play02:44

However, the tasks

play02:45

that I listed,

play02:45

it's really, really good at

play02:47

and you'll find it

play02:48

a little bit easier

play02:49

to make those type

play02:49

of applications

play02:50

with a language

play02:51

like Python

play02:52

compared to something

play02:53

like JavaScript.

play02:54

Now, at this point

play02:55

we definitely need to discuss

play02:56

frameworks and libraries,

play02:57

which kind of go hand-in-hand

play02:59

with the language

play02:59

you're learning

play03:00

when you're just starting out.

play03:01

Picking either

play03:02

Python or JavaScript

play03:03

isn't going to make

play03:04

a huge difference.

play03:05

The curriculum

play03:06

is going to be very similar.

play03:07

You're going to be learning

play03:08

pretty much the same topics.

play03:09

And the main thing

play03:10

that's going to differ

play03:11

is the syntax

play03:12

and really the way in

play03:13

which you write code.

play03:14

But that's something

play03:14

you can learn pretty quickly

play03:16

and going between different

play03:17

languages, you'll very easily

play03:18

pick up the differences

play03:20

in syntax.

play03:21

The major differences

play03:22

are going to come

play03:22

when you want to actually start

play03:23

building out large applications

play03:25

and you'll realize

play03:26

you need to use

play03:27

some external tools.

play03:28

Now, these are

play03:29

typically referred

play03:29

to as frameworks,

play03:30

libraries or packages.

play03:32

They all have kind

play03:33

of a slightly

play03:33

different meaning,

play03:34

but in this case

play03:35

we'll group them together.

play03:36

Now, each language

play03:37

that I mentioned here,

play03:38

Python and JavaScript,

play03:39

have a different set

play03:40

of very popular

play03:41

frameworks and libraries

play03:42

that are used

play03:43

to create applications.

play03:44

For example, with JavaScript,

play03:46

we have things like React, Vue,

play03:49

Angular, right?

play03:50

These are really popular

play03:51

frontend web frameworks

play03:52

that make it really easy

play03:53

to build

play03:54

large, scalable applications,

play03:56

and they're typically in demand

play03:57

as their own

play03:58

skill alongside JavaScript.

play04:00

So if you want to be

play04:01

a front end web developer,

play04:02

you're probably going

play04:03

to need to know

play04:03

something like React,

play04:04

and that means what

play04:05

you would have had to know

play04:06

JavaScript write to be able

play04:08

to work with React.

play04:09

Now with Python,

play04:10

we have popular frameworks

play04:11

specifically for data science

play04:13

or for automation tasks.

play04:15

So things like pandas, numpy,

play04:17

CI kit, learn.

play04:18

We have

play04:19

natural language toolkits.

play04:21

All of these types of things

play04:22

are really

play04:22

more ingrained in Python

play04:24

and they don't necessarily

play04:25

exist for JavaScript.

play04:26

Or if they do,

play04:27

they're not quite

play04:28

as specialized or as in demand.

play04:30

So what this leads me

play04:31

to recommend

play04:31

is that if you already know

play04:32

the type of projects

play04:33

you want to build or the jobs

play04:35

you might be interested

play04:36

in, go and

play04:37

look at the languages,

play04:38

frameworks, packages, etc.

play04:40

that are being used

play04:41

for those projects

play04:42

or that are required

play04:43

for that job,

play04:44

and then see the base languages

play04:45

required to use

play04:46

those specific tools.

play04:48

A lot of times

play04:49

you'll need to know

play04:49

JavaScript as a prerequisite

play04:51

to learn this framework,

play04:52

or you'll need to know Python

play04:54

to learn this package.

play04:55

So that's where I would go,

play04:56

and that's really

play04:57

what's going to be

play04:58

the major difference for you,

play04:59

the tooling you have access to

play05:01

and the type of things

play05:02

that you can build.

play05:03

Now, with all of that

play05:04

said, both of these languages

play05:05

are still very general purpose.

play05:07

Knowing one of these languages

play05:09

allows you

play05:09

to build

play05:09

so many different types

play05:10

of applications,

play05:12

and just because

play05:12

it's not the best

play05:13

at it doesn't mean

play05:14

you can't do it.

play05:15

For example,

play05:16

you can make an entire website

play05:18

using purely python

play05:19

and a little bit of HTML

play05:21

and CC.

play05:22

Now is it

play05:22

going to be the best way

play05:23

to do that?

play05:23

Probably not.

play05:24

You're likely going

play05:25

to want to know some JavaScript

play05:26

and use that in your project.

play05:28

However, you can still do it

play05:29

with Python.

play05:30

It's possible

play05:31

to create user interfaces.

play05:32

It is even possible

play05:33

to make things like mobile

play05:34

apps using Python.

play05:36

It's just not recommended

play05:37

or what

play05:37

it's really meant for

play05:39

JavaScript.

play05:40

Same thing.

play05:40

You can go and build

play05:41

machine learning applications,

play05:43

you can do data analysis,

play05:44

you can graph

play05:45

all kinds of numbers,

play05:46

but it's not going to be

play05:47

the best with JavaScript

play05:48

compared to

play05:49

something like Python

play05:50

or Python is more designed

play05:51

for that type of task.

play05:53

At the end of the day,

play05:54

all programing languages

play05:55

are tools

play05:56

to help you achieve something.

play05:58

So you need to pick

play05:59

the best tool for the job.

play06:00

And that's why it's difficult

play06:02

when you're starting out

play06:02

to make this decision,

play06:04

because you might not even know

play06:05

the type of jobs

play06:06

that you want to perform.

play06:07

Now, what will

play06:07

mostly end up happening

play06:09

is you'll learn JavaScript

play06:10

and then you'll realize, Hey,

play06:11

there's this thing I want to do

play06:12

that's kind of better

play06:13

in Python.

play06:14

You might try to do it

play06:15

in JavaScript,

play06:16

but at this point

play06:16

you're probably good enough

play06:17

of a programmer

play06:18

that you can go

play06:19

and learn a bit of python

play06:20

and you can achieve that task.

play06:22

Same thing other way around.

play06:23

You might be really

play06:24

good at Python,

play06:25

but you want to implement

play06:26

some front end user interfaces

play06:27

in your application.

play06:28

In that case

play06:29

you may just go into CI

play06:30

to learn

play06:30

a little bit of JavaScript,

play06:32

exactly what you need

play06:33

to achieve that goal.

play06:35

And this goes

play06:35

for all different types

play06:36

of programing languages.

play06:38

That's why

play06:38

my advice is figure out

play06:40

the type of things

play06:41

you want to build

play06:41

or the type of jobs you want.

play06:43

Start learning

play06:44

that first language

play06:45

that's most suited towards

play06:47

kind of what

play06:47

you think you want to do.

play06:48

And as you start learning it,

play06:49

you'll realize

play06:50

it's relatively easy

play06:51

to transition

play06:52

into other languages

play06:53

and you'll pick up

play06:54

the different tools

play06:55

that you need for

play06:55

the type of jobs

play06:56

that you're doing now.

play06:57

At this point,

play06:58

if you're still unsure.

play06:59

What I would

play06:59

encourage you to do

play07:00

is simply pick

play07:01

one of the languages.

play07:02

Get started,

play07:03

learn the basics,

play07:04

and then you can easily change

play07:05

to the other language

play07:06

if you decide that

play07:07

it's not right for you.

play07:08

If you're looking

play07:09

for some resources

play07:10

to learn these languages,

play07:11

I have all kinds of videos

play07:12

on my channel

play07:13

that you can check out

play07:14

completely for free.

play07:15

But if you want a more

play07:16

premium resource,

play07:17

you're a bit more serious

play07:18

and you're really committed,

play07:19

then I do actually have

play07:20

a software development

play07:21

course with course careers.

play07:23

We've already had

play07:23

some people graduate that

play07:24

course and land jobs

play07:26

quite quickly,

play07:27

and what we do in

play07:27

there is teach you

play07:28

the fundamentals of programing

play07:30

and then allow you to pick

play07:31

your specialization track

play07:32

once you've gone through that.

play07:34

So if you're not sure

play07:35

you go through,

play07:35

you learn on the fundamentals,

play07:36

then you can pick

play07:37

whether you want to specialize

play07:38

in front end

play07:39

back end or DevOps.

play07:40

And there's an

play07:41

additional course

play07:42

taught by an industry expert.

play07:44

Free of charge,

play07:45

you simply pick it

play07:46

once you graduate.

play07:46

The fundamentals

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which is taught by me.

play07:48

Anyways,

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you guys can check that out

play07:50

from the link

play07:50

in the description.

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If you enjoyed the video,

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make sure they look.

play07:53

Subscribe to the channel

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and I will see you

play07:55

in the next one.

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