Generative AI (GenAI) is poised to transform work, but what that looks like remains unclear at the moment. While the International Monetary Fund believes 60 percent of jobs may be impacted by AI, other organizations estimate that the number could be closer to 70 percent.
Knowing how to use AI as a tool and developing key skills around this technology will be critical in the coming years. Yet, as of today, less than 30% of professionals use GenAI at work on a daily or weekly basis.
With AI technologies evolving at a rapid clip, it’s important to hear how professionals use it the world over. Coursera spoke with Mohammad, a Senior AI Strategist at a German consulting firm, who was initially both excited and skeptical about the performance of large language models (LLMs).
Mohammad worried about how he could use LLMs reliably in business because they seemed particularly volatile with outputs that could vary widely. He also feared that only big tech companies could afford to develop the most powerful models, potentially leaving smaller players behind.
However, in an effort to learn more about this rapidly advancing technology and dive deeper into the technical aspects of GenAI, Mohammad turned to Coursera and enrolled in Generative AI with Large Language Models from DeepLearning.AI.
What were your initial thoughts about GenAI?
As someone with technical expertise in data science & ML, who also experimented with earlier generative models (e.g., GANs), I was quite excited and a bit surprised about how well LLM applications were performing. However, I had concerns about using GenAI, especially LLMs, reliably in real-life business applications. The volatility and limited explainability of these models, caused by their complexity and massive training data, worried me especially as I guide clients as a Senior AI Strategist at a German consultancy.
Which course did you take?
The “Generative AI with Large Language Models” course by DeepLearning.AI not only solidified my knowledge but also addressed my concerns while highlighting budget-friendly ways teams can apply GenAI.
How are you thinking about GenAI now?
Surprisingly, the course gave me more hope regarding the democratization of GenAI. It demonstrated how small, open-source models could perform very well in certain use cases with adequate fine-tuning and alignment techniques. This approach gives developers and companies more control over their models, making GenAI accessible with a reasonable budget.
Are you still concerned?
The course deepened my knowledge in aligning LLMs with human values and introduced the latest evaluation metrics. While my concerns on trustworthiness remain, learning about these metrics was crucial. It’s an active field of research that needs more attention, especially considering upcoming AI regulations like the EU AI Act.
How does what you learned impact your work?
As a consultant and AI strategist, this knowledge allows me to better evaluate the suitability of various models and approaches for specific companies and use cases. It filled some knowledge gaps, enabling me to more confidently explain LLM concepts to colleagues and clients.
What advice do you have for others?
For those unsure about GenAI’s place in the workplace, this course offers a great mix of theory and practice. It provides the understanding needed to leverage GenAI effectively in business settings. So, if you’re looking to boost your knowledge in generative AI and large language models, my advice would be to go ahead and take this course ;).
Note: This interview was condensed and edited for readability.
Ready to take the next step with GenAI?
Get hands-on experience from industry leaders like IBM, Google Cloud, Microsoft, and more so you can apply GenAI practically in your role—whether you’re a product manager, marketer, or leading a team. Discover how to save time with GenAI and distinguish hype from reality, all while earning certificates that showcase your GenAI expertise.
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The 7 Rules of Dressing for Summer in 2022 – PureWow
At least not when we wish to look fashionable, too. This year we use smooth sets. There is no doubt that dressing well provides an instantaneous boost to the spirits. Whether it’s something for the comfort of now or you are looking ahead to celebrations on the horizon, you will feel a lot much better when these options remain in your wardrobe.
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Shop The 10 Key Spring/Summer 2022 Trends To Know
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Plus-Size Fashion Archives – The Everygirl
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26 Best Summer Dresses for Reveling in Warmer Temps
Vaxed Woman Summer Season Season 2 will hit, and think me when I inform you the upcoming patterns reflect that state of mind. Leggings? Cancelled. Sweatsuit? Never ever heard of her. Fuzzy socks? See you in October. Summer season 2022 is all about extra-loud dressing with details that excitement. Pelvis-flaunting low-rise jeans, loose-knit crochet, cleavage-emphasizing corsets, and intense shades of fuchsia are amongst the spicy trends ready to wash over summertime 2022.
Do not get me incorrect, though that comfy, oversize look from ’99 will still reign supreme. However, as spotted at Coachella, you’ll soon begin balancing it out with slinky information appropriate for a steamy night out (literally). Though we’re a still couple months away from the real season, shorts-and-a-crop-top weather condition is showing up fast and my tip is to get shopping ASAP.
With style details like stiletto heels, platform soles, and puffy straps, the ’00s “ugly” shoe pattern is formally adorable. At this point, resistance is useless. Gotham/GC Images/Getty Images, Prior To there was Valentino’s completely pink runway show, there was Kim Kardashian specifically using electric pink for a week straight. The effect is clear, as the intense shade is now turning up in essentially every summertime collection.
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The Top Fashion Trends for Spring-Summer 2022
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By Marni Baker Stein, Chief Content Officer at Coursera
Today, I’m excited to announce two new industry partners joining the Coursera platform, along with new Professional Certificates from Google Cloud and ADP and a host of new short courses from Microsoft.
As demand for skills in GenAI, data, and project management continues to grow, nearly half (46%) of working professionals say they’re considering quitting their jobs or switching careers in 2024 according to research from Microsoft and LinkedIn.
With 60+ entry-level Professional Certificates from top industry educators, we’re continuously growing the Coursera catalog to help learners everywhere develop the right skills to make the dream of a new career a reality.
Welcoming Snowflake and Kotter International to Coursera
Top data cloud organization Snowflake joins Coursera with a robust curriculum in data basics, while renowned consulting firm Kotter International provides insights into the dynamics of change:
Intro to Snowflake for Devs, Data Scientists, Data Engineers course from Snowflake – Available for free on Coursera, this course is the first of an upcoming series launched by Snowflake as part of the Northstar Builder Education Program. This course will provide the basic skills needed to build on Snowflake and is a prerequisite for upcoming courses in the series. Learners walk away with an understanding of Snowflake’s architecture, core objects, and key features for builders.
The Science of Change Specialization from Kotter Training – This new Specialization is designed to equip learners with a fundamental understanding of change leadership, apply personal and organizational change management tools and discover key insights into human behaviors related to change. By the end of the courses, learners will be able to successfully manage their own change initiatives using the presented frameworks and identify strategies to drive measurable results.
New Professional Certificates from Google Cloud and Microsoft
Entry-level Professional Certificates on Coursera equip learners from all backgrounds -– no college degree or prior industry experience required — with skills for in-demand, entry-level jobs in just a few months. We’re excited to share these newly launched Professional Certificates that will prepare learners for jobs in Cloud Data Analytics and Cybersecurity, and UX Design:
Google Cloud Data Analytics entry-level Professional Certificate – A Coursera partner since 2017, Google Cloud launched their first two entry-level Professional Certificates this quarter. Designed for those looking to start or switch careers, this program will prepare learners for entry-level roles in cloud data analytics,, with optional modules introducing learners to GenAI topics including Large Language Models and the responsible use of AI.
Microsoft UX Design entry-level Professional Certificate – In this four-course Professional Certificate, learners can take advantage of hands-on projects and expert-led instruction, from conducting user research and creating wireframes to designing high-fidelity mockups and prototypes. This certificate is for learners who are switching careers or just getting started, as it will provide foundational knowledge and skills needed to thrive in the field of UX design.
In addition, Microsoft has launched 10 new short courses covering popular tools such as Azure, Sentinel and GitHub:
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Innovate? An LMS? LXP? Learning Platform? Employee Dev Platform? Are you saying that any of these platform types are innovative? Wait, LMS? Oh, that is so traditional; there isn’t any innovation there. LXP? That’s where innovation comes in (hint- it doesn’t). A Learning Platform driven by brain-centric modalities? That must be innovative. AI-first platforms. Ok, that has to be innovation at the forefront. Huh? That isn’t an accurate statement, or any statement, for that matter.
Wait, are you telling me that the industry still suffers from a lack of innovation to such a degree that we are just seeing the same ol same 95% of the time?
Innovation is a word to toss around because its ambiguities are enough to put something through at the tiniest level, as though you are placing a piece of paper into a slot, and out it comes to your wonderful hands.
The whole LXP innovation pitch continues and is a load of month-old baloney. What I see today isn’t unique. Many of the initial feature sets that stood out—or that were enhanced and tweaked from a visibility standpoint—are gone. LMS vendors always had skills and capabilities.
Not where we are today, but then again, you shouldn’t compare a system from 2004 to one that is in play now, nor should you think that what folks seek in extensive skills capabilities within a system (assuming the employee is your core, and yes, some customers too—dependent on the case) wasn’t around in the early days because of different expectations and needs.
Just as you wouldn’t expect a new car version to be the same as one that exists today, think about it. Rear-view camera? Sensors if you go out of your lane? Most people didn’t need those in the 2000s. Nowadays, sensors are pretty much standard in all vehicles. Rear-view is an option; most of the time, it comes with the vehicle anyway. You now expect those things.
Seatbelts is another one. When I got my driver’s license in the early 80s, wearing a seatbelt wasn’t a federal requirement. I wore one with my driver’s test, but it was hit or miss after getting my license. Today? Seatbelts are mandatory when you drive a vehicle and, in many cases, on the passenger side (although I think many folks ignore that).
Where can you find innovation?
It is out there – yes, in some systems – i.e., the system itself, which I will note shortly. Then it is there, well, in any system, if you look, and yes, pick it out, and go WOW, that is different, unique, and I see it as the “Gold.”
That is something you should be looking for – if you are seeking a system or as a vendor, you should be examining it right now – is there something there that is unique – that if Craig looked at it, he would say, WOW.
Isn’t every system innovative?
No. Just because they say it is – “We do things differently. We are not a (fill in the blank – but often they use LMS). This is very unique,” doesn’t mean it is true. On the other side, I always hear people saying to me, “No system can do this.
We haven’t found a system that can do that. What we need just isn’t out there.” First off, it probably is if you expand your look and reach. The vendor may be horrible at marketing (often the case) or messaging (ditto on the case); therefore, you won’t know or hear of them.
That said, way too many – can’t grasp it. There are many whose whole design and approach is based on their biggest clients, or clients in general, that seek this or that. This, to me, is a big mistake – because you are supposed to be the expert, not the client. Trust me, a client won’t know everything out there or what is possible (today).
Then, some vendors will go down a rabbit hole because a couple of large clients asked for it. This goes at the bucket of worst ideas behind the decision to sell electrolyte flavor packs for water—bad, bad idea.
The Systems that do something different (that I have seen so far)
#1 Vendor doing something that goes beyond HOLY MOLY!
Kilo—They focus solely on the maritime industry (and also offer EdTech maritime training), using VR simulations. They also have an LMS, but what stands out to me is…
Their VR simulations, available for safety management, operations, and navigation, take the whole VR piece to a new level.
How? By dropping in a live instructor. The live (yes, human) instructor can bounce into the courses/content and add instructions on how to do things, etc.
It reminds me of the “group party” thing that many of the VR headsets have, where folks can go into the area and talk to others in real-time – despite them being anywhere in the world. The same applies here – except it is an instructor.
OnPoint took a different approach to VR. They developed a course/content that appears in the Apple Pro Vision. A learner can select the course and go right into it. The client that went with it is T-Mobile, who is adding the Apple Pro Vision headsets—one per store. I think it has potential. However, the APV has turned out to be a dud in terms of sales and other issues. Nevertheless, that isn’t due to OnPoint.
For what it is worth, OnPoint does fully customized LMSs – including mobile. I know you will say hey, Moodle does that, and blah blah. Moodle does okay, but the level of what OnPoint can do, plus the person behind it, Robert Gadd (an early pioneer of e-learning and a pioneer of mobile), differentiates it from the pack.
Pluralsight continues to be innovative in multiple ways. One is the data visualization and data points.
They provide data points that tell me my learning story—thus, true learning intelligence. It doesn’t cost me extra. It doesn’t require me to have a background in stats or tech; rather, it presents real useful information for your learning. They are IMO the best system out there for data visualization and metrics, as it relates to showing me my learning story.
I love the innovation when it comes to certification, which is popular with various companies and definitely associations. Here is their way of presenting (please note my screenshots are from a video—and Pluralsight approved the usage—viewing of it).
Another section I think is brilliant, and I have not seen this in any other learning system on the market. The system will show you the cost of the token fees tied to the characters and words you are using for the prompt. Tokens are charged based on the number of characters you type into a prompt, regardless of what you type.
The vendor – yep, gets charged a fee. While the price of the fees is quite inexpensive, it ramps up fast when folks are always using the prompts. They show the number of characters available to type into the prompt – another brilliant move. This is because every LLM has limitations on the number of words you can enter into a prompt. Some of it is massive – which you think rocks – however – those token fees.
The one downside here is that the token fees angle only works within their Playground, which is awesome by the way. However, the prompt—think Gen AI here—is not available anywhere else in the system.
Above the learner typed into the prompt – How do I learn tech skills? You can see the tokens used and the costs (Admin side).
Another tokens data and cost that appears on the admin side.
Compare the prompt options (see image below). Okay, you are on the admin side and are debating the cost based on various LLMs on the market. You can compare the fees by selecting an LLM (that is listed in the system vs. another).
Pluralsight does not have all these LLMs in its platform. The one minus is that Pluralsight doesn’t update the LLMs—thus, the ones it has today are dated and no longer utilized by many companies, even in Enterprise.
You won’t see GPT 4o (known as 4 omni), the latest with Claude, or Llama3 from Meta. Yes, new LLMs are coming out all the time, which is hard for a vendor to keep up with, but utilizing the prompt angle here, they need to do so—perhaps once a quarter.
Lastly, the feedback loop. I kid you not; I have seen feedback loops in less than ten systems. That isn’t very good. Especially since AI learns from itself, so, if the response is inaccurate (due to hallucinations – fake or false information or AI bias are just two), you – the learner – can’t change it. You – the learner – can’t edit in what is wrong, nor do you have a thumbs up or down option (common with feedback loops, although there are LLMs that it is a flag – indicating inaccuracies). Way too many vendors think learners know about fake or false information, AI bias, and so on. This is false. Not even close to being real. And while there are content creators that allow you to edit the text – it is only within the context of the course – and still there is not a feedback loop there – again, edit within the tool, can’t identify what is wrong in the feedback loop – and thus the AI has no idea.
To date, I have seen zero vendors with a feedback loop on the admin side. Seriously?
At least with Pluralsight, the learner does see a feedback loop, but this is only available in the Playground section.
You will see their angle – “Provide Feedback,” which opens the loop, and the text below around AI recommendations – which is a crucial piece of any AI within a system. The number of vendors I have seen note the “warning of fake info” is, again, less than ten – not just on the admin side – those numbers are awful, but those that have gone learner side too. Come to think of it, it’s not even two hands worth.
Cypher’s answer to using Gen AI to review the text you have entered when creating your content/course (admin side): It will review the text and provide a response. If it is correct, it says so. If the AI finds that something or something is wrong, it identifies “inaccuracies” and then shows what those inaccuracies are and recommends text. You can choose to accept it or not.
I like Crosscheck, but what I don’t like is no feedback loop. I mean, here – I accept the text because I assume it is accurate and hey it saves me so much time. What though if it is not correct – accurate? There is not one LLM out on the market, that has zero hallucinations. You can have dozens of LLMs in your system, with a RAG, and fine tuning and guardrails, and you will still get hallucinations.
Anyway, here is their screen. I think this has real potential if they add the feedback loop and the text (which appears when you create the course – that it may produce fake information).
Cypher has something else in the works—and it is very intriguing (yes, I have seen it), but once again, the output does not have a feedback loop. I’m at a loss here for why they ignored something they are fully aware of—a loop.
Anyway, as I’ve noted before, they have the best authoring tool with AI pieces within it, from synthetic audio to images.
Cornerstone acquired Skyhive this year and has already incorporated it into its system (Galaxy). If you have Learn (their learning suite), the skills piece is included. If you choose to go just with the LMS, there are skills in there, but the level of Skyhive is not.
The big win with this new piece is that it can compare in real time the latest labor, economic, and skills data parsed with their AI (Cornerstone). The labor data is important to me, more so than just adding a skills library or competencies of skills tied solely to a role.
Bottom Line
I am a fan of bucking the perceived notion that everything has to be the same. The idea of L&D or Training or others all want the same thing, regardless of their use case regarding the appearance and what the system can do. Sure, they may ask for something out of this world, but such inquiries as “I need a system that allows me to see a video,” “learning catalog that can be seen by X folks versus Y folks,” and “analytics and reporting on learners” are universal.
I am not a fan of where vendors rely on clients telling them what is needed, and then the vendor does it – ignoring that innovation isn’t coming from your clients – it has to come from you – the vendor, and the folks within it.
Out of the box in the consumer world that has hit the home runs and we use today – include streaming (initially, everyone was going VHS or DVD, who would think of trying this), bypassing commercials with the recording or stopping a live show, while you do something else, then pick it up again (TiVo – thank you for coming up with this idea), or this vendor called, Sony who decided that the next format should be Blu-Ray for DVDs, out thinking Toshiba’s HD format, whereas consumers never gravitated towards.
In other words, trying something different, taking that risk, isn’t about adhering to everything your favorite clients, or those who use your system the most, or even some small group you tap in a focus group spin.
It’s about – you being an innovator.
Not a follower.
Please note: There will not be any blog posts for the next two weeks (July 30th to August 9th), as I will be off on holiday!
For the past eight consecutive years, JavaScript has been the most commonly used programming language by developers who responded to Stack Overflow’s annual survey. The language’s popularity stems largely from its versatility.
While originally designed for front-end development, JavaScript’s extensive list of associated libraries and frameworks have extended its utility. Now, you can use it for just about anything — including back-end, mobile, and game development. Below, we’ll delve into the reasons behind the language’s popularity and its many applications.
If you’d prefer to get right into and start learning how to code with JavaScript, check out our Learn JavaScript course.
Why is JavaScript so popular?
When it was first developed in 1995, JavaScript was intended to be a lightweight language used to make web pages more dynamic. It added simple effects, like showing and hiding elements with the click of a button — but it wasn’t long before developers realized that it could do much more.
In time, JavaScript became one of the few languages that could be used in just about every web browser. Today, most of those other languages have fallen by the wayside, leaving JavaScript as the only programming language that can be used in every popular browser.
The next big break for JavaScript came when developers started experimenting with it outside of web browsers. They applied it to the back end of web servers, where it processed the data used by the front end. After the rise of smartphones, it found use in multiple mobile development tools that create apps that run on both the Android and iOS platforms.
JavaScript is used in every industry to create all types of applications. Let’s take a closer look at its uses in web development, mobile development, game development, and more.
Front-end web development
Front-end developers use JavaScript (along with HTML and CSS) to create the parts of a web page that users see and interact with in their browsers.
Before JavaScript, web pages only served static content. JavaScript gave developers the ability to provide their users with a dynamic web experience, adding animations and other interactive elements. When you click a button on a website, and a side panel opens or a modal slowly comes into view, that’s JavaScript at work.
But JavaScript does more than that on the web. You can also use it to create single-page applications (or SPAs) that run on one HTML page to give users a smooth navigational experience.
Back-end web development
JavaScript is also popular with back-end developers. Back-end web development (also known as server-side development) involves creating the code that runs on a web server. When a browser loads a web page, it makes a call to a remote server. Server-side code then parses the page’s URL to determine what the user is requesting before retrieving and transforming the required data to serve back to the browser.
Node.js is a JavaScript framework commonly used for back-end development — so much so that many back-end JavaScript developers refer to themselves as Node.js developers.
You can also use JavaScript to create 2D and 3D video games that run in web browsers. As browsers get more powerful, web-based video games are evolving beyond simple platformers. Now, JavaScript frameworks like Phaser.js allow you to create more advanced games quickly and easily right from your browser.
Mobile development
For years, mobile developers had to commit themselves to either Android or iOS, as each platform uses different programming languages. Android developers would learn Java or Kotlin, while iOS devs preferred Swift or Objective-C.
Now, with the rise of mobile development frameworks like React Native and Ionic, you can use JavaScript to create apps that run on both platforms.
Virtual reality (VR)
Virtual reality is a thing again, as devices like the Oculus Rift and Valve Index have made it more generally accessible. Now, you can use JavaScript to create applications for both of them.
A-Frame is a popular JavaScript framework used to build virtual reality experiences in web browsers. If you’re interested in building your own VR applications, start by Learning A-Frame.
Artificial intelligence (AI)
JavaScript is also used to develop artificial intelligence, as libraries like TensorFlow bring the power of machine learning to JavaScript developers. Developers can use these libraries to create machine learning models that predict future events based on past data and categorize data and images.
Learn more about JavaScript
JavaScript is no longer just a programming language used to create neat effects in web browsers. It’s a well-respected, powerful language that’s climbed to the top of popularity charts over the past three decades.
JavaScript’s versatility and wide range of applications make it a valuable addition to any developer’s tech stack.Ready to start using it yourself? Learn its basics in our introduction to JavaScript. Or, if you’re looking for something more advanced, check out our full list of JavaScript courses and tutorials.
Whether you’re looking for a new career or hobby, game development can be a great choice. Not only does it allow you to combine your creative and technical skills, but there’s a satisfaction that comes with watching people enjoy something you’ve poured your heart into. (Plus, it can also be pretty lucrative.)
But before you can start creating games, you’ll need to learn how to code — and the programming language you should learn depends on what type of games you want to make. Ahead, we’ll explore the best languages for game development and some of the benefits of each one.
You can also check out our free course Introduction to Game Development, which will give you a step-by-step look at the development process, including the programming languages, engines, and other technologies used in the industry.
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1. C++
It’s no surprise that C++ is one of the top game-developing languages, especially because it’s such a popular, flexible solution. C++ is known for its high abstraction level, which allows you to have precise control over how a computer’s hardware interacts with your code.
C++ also provides more granular control over how graphics are processed by the system, which plays a very important role in game design.
Another key benefit of using C++ is it allows you to optimize special parts of your game design, giving them their own abstractions. This is akin to giving specific elements of the game their own infrastructure and resources. This level of detailed game development is difficult, if not impossible, with many other languages.
C++ has been used to make popular games like StarCraft, Football Pro, and Counterstrike. To get started crafting your own C++ games, check out courses like Learn C++ and C++ for Programmers.
2. Java
Even though Java doesn’t provide the same level of intricate control as C++, many see it as the best language for game development. Java’s popularity is partially due to its ease of use, which makes it a great solution for many new Game Developers.
The Java community also provides a deep treasure trove of tools and other open-source resources. This makes it much faster to develop games, especially because you can find code that’s already been written to use in your game. In some ways, Java can give the game development process a more plug-and-play feel than C++.
To dive into the world of Java development, check out our Learn Java course and Build Basic Android Apps with Java skill path. These will make it easier to bring the games floating around in your head to the screen.
3. JavaScript
When it comes to online game development, few languages make it easier than JavaScript. JavaScript plays well with both HTML and CSS, making it easier to develop games for multiple platforms.
Some programmers see JavaScript as a convenient all-around solution because you can use it to create animations and interactive elements. Plus, the online community behind JavaScript is huge, so you can find plenty of pre-designed elements to use in your own games.
JavaScript is the language behind gaming hits like American Girl, Angry Birds, and Aquaria. To get started with the language, try our Learn JavaScript course. We’ll provide you with the fundamentals you need to get comfortable with both front-end and back-end game development.
4. HTML5
HTML5 is another popular language for Game Developers, especially because programmers have created gaming engines that are specifically designed to make HTML5 games work better. Plus, you can use it with JavaScript interchangeably.
HTML5 is also known for its ability to construct games that work on multiple platforms and different kinds of browsers. This could make it easier to design games that appeal to wider audiences.
HTML5 has been used to create hit games like World Cup Penalty 2018 and Gods Will Be Watching. You can learn the basics of HTML5 with our Learn HTML course. This will provide you with the essential building blocks you need to create interactive, addictive games.
5. C#
Even though C# is considered an easier alternative to C++, it’s still a flexible, powerful programming language. Part of the reason why C# is such a useful language for developing games is Microsoft developed XNA for this exact purpose.
XNA is a set of tools specifically created to make game development easier and faster without sacrificing the experience of the end-user. C#’s flexibility is another big plus. You can build games that can run on a wide variety of platforms, including:
PlayStation
Windows
Android
iOS
This has made C# the language of choice for games like Super Mario Run and Pokémon Go. To start crafting your own game characters, check out our Learn C# course. Along with game development, this course will teach you the fundamentals behind virtual reality, websites, and mobile applications.
6. Lua
Lua is a flexible, general-purpose programming language that feels similar to JavaScript. While it’s not as popular as the other languages in this list, Lua’s been increasingly used to build video games over the past few years.
You’ll find Lua code in popular titles like Angry Birds, Baldur’s Gate, Civilization V, and The Elder Scrolls Online. And if you’re familiar with Roblox, you might already know that users can use Lua to write modifications.
Want to learn more? Check out our Learn Lua course.
With our courses, you can build the skills and experience you need to be a star Game Developer. We’ll show you how to run, hop, and blast your way to a successful career in game development — and other tech fields — help you build a portfolio, prepare for technical interviews, and more.
Check out our Introduction to Game Development to get started. Then, learn how to build your own game from scratch in Create Video Games With Phaser.js. Ready to get started? Sign up now!
Whether you’re looking to break into a new career, build your technical skills, or just code for fun, we’re here to help every step of the way. Check out our blog post about how to choose the best Codecademy plan for you to learn about our structured courses, professional certifications, interview prep resources, career services, and more.
Python is a general-purpose programming language used in just about any kind of software you can think of. You can use it to build websites, AI, servers, business software, and more.
Below, we explore some of the reasons behind Python’s popularity, along with its uses and applications in different fields. Or, if you’d rather jump right in and start learning it right away, check out our Learn Python 3 course.
What is Python?
Python is a high-level programming language known for its readability and versatility. It is used in various fields, including web development, data science, AI, and automation.
What are the advantages of Python?
Python’s many advantages make it a favorite among amateur and professional programmers alike. One of its biggest advantages is its (relative) simplicity. Python’s English-like syntax makes it easy to learn and read, and unlike some other languages, it uses simple line breaks instead of symbols to define code blocks.
Python also helps speed up development, with built-in classes and functions and an extensive selection of libraries that make writing code quicker and easier. Plus, as an interpreted language, you can execute and test your code right after writing it without an intermediate compilation process.
Another advantage Python holds over other languages is its versatility. Python is a portable, cross-platform language — meaning you can write and execute Python code on any operating system with a Python interpreter. With some other languages, you’d have to modify your code for each platform.
Python code examples
Here’s an example of some Python code that calculates the factorial of a number:
# Function to calculate the factorial of a number
def calculate_factorial(n):
result = 1
for i in range(1, n + 1):
result *= i
return result
# Example usage
number = 5
factorial = calculate_factorial(number)
print(f"The factorial of {number} is {factorial}")
What is Python used for?
Python’s versatility enables it to be used in a wide range of applications across various industries. Let’s take a look at some of the ways Python is used.
Data science: analytics and visualization
Data science is one of the most popular uses for Python. Data scientists and analysts use programming languages like Python and R to manipulate data for reporting, predictive analysis, and more. But while R can be a great choice, many Data Scientists prefer to learn Python because its English-like syntax can be easier to learn. Check out our free course Getting Started with Python for Data Science if you want to learn how to use Python to work with data.
Harvesting insights from data is no easy task, and data scientists don’t have time to waste with compiling and complicated syntax. Python’s simple syntax and extensive selection of third-party libraries make it a great choice for anyone considering a career in data science.
See an expert-led walkthrough of one of our Python data science projects.
Machine learning
While arguably a subfield of data science, machine learning deserves its own category because of its unique algorithms. Machine learning involves training systems to learn independently by using algorithms that constantly update themselves based on input data. These systems gradually learn to handle new situations by generating an output based on past datasets. Then, based on the outcome of this new situation, they update themselves to deal with the new variables, thus constantly evolving.
Web development: websites and web apps
Python is also widely used for back-end development, where it runs in the server of web applications and interacts with databases and APIs after a user requests data from the app’s front-end in the browser.
Much of Python’s popularity in web development stems from frameworks and libraries like Django and Flask that extend the language’s utility.
Financial analysis
In a recent HackerRank survey, Python was the number one programming language FinTech companies looked for when hiring developers. But it’s not only FinTech enterprises that use Python code. Python is used everywhere in the financial industry because of its data processing capabilities and various third-party libraries designed for financial analysis.
Desktop applications
You can also use Python to build desktop applications. Many Linux and open-source desktop applications use Python. Plus, with GUI libraries like Tk, wxWidgets, and Qt, you can use Python to build cross-platform applications that run on Windows, Mac, or Linux.
Business applications
Python lies at the heart of business software like Tryton and Odoo. These tools are used for enterprise development and can perform accounting, inventory, customer relationship management, and other tasks.
In short, many businesses rely on Python to do the heavy lifting. This has led to more and more startups including Python in their tech stacks for its ease of use and scalability.
Scripting and utility software
Python started as a language for writing utility scripts, and it’s still widely used for this purpose. Many of the utilities and scripts built into Linux operating systems are written in Python, and it’s also installed by default in the Mac OS. This makes Python the language of choice for automating tasks in an engineer’s day-to-day work.
Is Python hard to learn?
Python is considered one of the easier programming languages to learn due to its simple and readable syntax. Python’s creator, Guido Van Rossum, specifically designed the syntax to ensure that even newcomers could easily learn new programming ideas. On top of that, Python offers a wealth of pre-written libraries, tools, and frameworks, allowing you to tackle more complex tasks with the language sooner. Many beginners find Python approachable and manageable for starting their programming journey — you can learn more about how to choose a first programming language here.
How long does it take to learn Python?
Learning Python can take a few months to a year — it all depends on your prior programming experience and the amount of time you can dedicate to learning. The cool thing about our courses and paths is that you guide yourself, determining how much to learn, how often, and at what pace. You can stop and take breaks if you need to or amp up your learning routine if you have the bandwidth. Regular practice and building projects can help you learn Python more efficiently. To get a ballpark estimate on how much time you should commit to learning, first determine what your goal is.
How to learn Python
Learning Python involves understanding its syntax, basic data structures, and libraries. You can start experimenting with writing Python code and building projects in our course Learn Python 3. The course is beginner-friendly and a fan favorite among our learners. If you want to learn a particular domain of Python, like data science, we have targeted Python courses that will teach you the language and how to apply your skills to data scenarios. As you pick up programming concepts, start building projects. We have lots of real-world Python projects in our library that are suitable for all levels — you can even include some of them in your professional portfolio.
Getting started with Python
As you can see, Python is a programming language with a wide range of applications, such as web development, data science, and financial analysis.
Want to start using it yourself? We’ll teach you the basics of Python programming in Learn Python 3. Or, if you want to take it a step further, we’ll show you how to:
Whether you’re looking to break into a new career, build your technical skills, or just code for fun, we’re here to help every step of the way. Check out our blog post about how to choose the best Codecademy plan for you to learn about our structured courses, professional certifications, interview prep resources, career services, and more.
This blog was originally published in May 2021 and has been updated to include new survey findings, courses, and resources.
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