educative.io
What technology should you learn next?
Many of the emails I receive from Educative’s learners are asking what programming language or technology they should learn to land a job at a big company. It’s a somewhat hard question to answer. The reason is that the most appropriate answer is "follow your passion and learn what excites you the most."
Of course, the downside of this answer is that it doesn’t really help anyone. :)
The more nuanced answer is that most tech companies use mainstream programming languages and frameworks to build their applications. Of course, every large company has some custom in-house layer of APIs/libraries/frameworks that they use in addition to mainstream tools, but the foundation is still based on mainstream technologies. Otherwise, those companies wouldn’t be able to hire and ramp-up engineers fast enough (they already struggle with hiring and don’t want to exacerbate the problem.)
Hence, the answer is "follow your passion," but learn something that’s mainstream enough to increase your chances of getting hired. Many medium-sized companies also look for engineers who can hit the ground running, and learning commonly used frameworks prepares you for that. That’s why you’ll see that most coding boot camps teach JavaScript and React, and not Lisp or Haskell.
So what programming languages are most desired by the FAANG companies of the world? Turns out, the average salary of programmers is a good proxy for that. Now, salary is not the most important factor when picking up a new skill, but it helps serve as a good barometer for how much employers are valuing particular skills. Data shows that programmers with the following skills are paid the most:
- Scala
- Go
- Python
- Rust
- TypeScript
I actually wrote a blog post that covers more detail: What software technologies will earn you the highest pay? This will help you in answering questions like: What’s a good programming language to learn first? What about the second? What front-end framework is the most in-demand? Which database technology is most lucrative?
I can’t stress enough that salary should always be a secondary consideration to your own personal interests and aspirations. However, if you’re going to invest time learning something, it’s useful to know what kind of return you can expect on that investment.
Happy learning!
Free detailed interview guides - CodingInterview.com
If you've interviewed (or hope to interview) at top tech companies like Google, Amazon, and Facebook, you know that it can be quite an anxiety-inducing process.
And while there's some good material out there about prepping for the coding interview process in general, there isn’t a lot of centralized, credible information about what that process looks like at individual companies. These small details can do a lot to relieve your stress and make you better prepared going in. Things like:
- How many interviews can I expect?
- What kinds of questions can I expect at each stage of the process?
- Are there unique things this company looks for as part of the process that other companies don’t?
That’s why we’ve created CodingInterview.com: a resource for detailed guides on what the interview process is like at different companies, so you can increase your chances of success. All the information is in one place so you don’t have to spend hours searching for it, and each guide was sourced and reviewed by hiring managers at these companies.
We currently have guides for Amazon, Facebook, Microsoft, Google, Adobe, Apple, Netflix, and GitHub.
Get the inside scoop on the interview process, and ace your next interview. Check out CodingInterview.com today!
-- Fahim
CEO & co-founder, educative.io
[0 of 7] What we're doing for Black Friday
To celebrate the start of the holiday season (or at least, deals season), we’ve made the Educative Unlimited annual plan an additional 20% off.
As part of the celebration, I'm going to be sharing with you 7 awesome pieces of content from this year. You can expect to see exciting courses, advice from yours truly, popular blog posts and tutorials, things we're working on, and more.
If you’d rather not receive these, you can simply click here to opt out of this special series. I won’t be offended.
I’ll also be including a small daily question or challenge with each email. Strap in.
---
For today: As we get closer to wrapping up the year, you might be curious about what’s in the works for the coming few months.
What’s on the roadmap?
We will, of course, continue to launch new courses each week, but here are some of the highlights of what we’ll be touching on:
- More awesome front-end content
- Project-based interview prep
- Cracking the coding career
- AWS certification prep
- Distributed Systems 201
- … and much, much more.
If you do get the Educative Unlimited annual plan, you’ll have access to all of our 200+ current courses as well as the hundreds more we plan to launch in 2021.
Lastly, my question for you is:
What has Educative helped you accomplish during this crazy year of 2020? Feel free to reach out to me by replying to this email :)
Happy Learning!
-- Fahim
CEO & co-founder, educative.io.
Take part in the 2020 Developer Survey
As we wrap up 2020, I’d love it if you could take out a little bit of time to fill out our 2020 Developer Survey. This shouldn’t take more than 3 minutes - and possibly much less.
--> Take the Educative Developer Survey 2020 (~3 minutes)
This will help us continue to improve the platform for developers like yourself and ensure we’re putting our efforts in the right direction.
I really appreciate your help. We couldn’t do this without you.
Lastly, I just wanted to say happy holidays, and thank you for being a part of the growing Educative community.
Onward to 2021!
-- Fahim
CEO & co-founder, educative.io
Functional Programming in Python
Sometimes the most elegant way to solve a problem (or build a project) can involve using a different programming paradigm to change up the way you approach it at a fundamental level.
There are many paradigms out there, some less popular than others: things like procedural, logical, and mathematical. But, by far the two most popular paradigms are functional (FP) and object-oriented (OOP).
Loosely, the central claim behind FP is that it’s easier to understand what’s happening when data and behavior can be kept separate - as opposed to in OOP, when they’re grouped in a single location (the object). [Here is a more detailed guide to functional programming in general.]
You’ll see time and time again debates on the merits of FP and OOP. Each has its own use cases. But look, it shouldn’t be about which one is better - there is no answer for that. Everyone thinks in different ways, and different projects call for different things.
If you can accomplish more in FP over OOP then choose FP - and vice versa. More power to you. But it’s a good idea to know what each can offer so you can make that decision in an informed way.
Many popular programming languages support multiple paradigms - Python being amongst them (along with others like Scala, JS, and C++). That’s why I’m thrilled to share with you today’s course:
Learn Functional Programming in Python
In Learn Functional Programming in Python, you will learn how to create programs using FP principles. You’ll start by covering the role of mutability and how to perform recursion. In the second half of the course you will dive into closures, iterables & iterators, generators, and more. And… there will be three exams to test you.
I also wanted to take the chance to revisit Learn Object-Oriented Programming in Python. Here, you'll start with the basics of OOP such as classes, objects, and access modifiers and build up to more advanced concepts such as inheritance, information hiding, and polymorphism.
Meanwhile, here's another exciting launch this week:
Developing Mobile Apps with Ionic and React: Build a fully functional app with (you guessed it) Ionic and React, and show it off to the world.
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
Deep Learning for Beginner's
It’s a great time to be a Python developer right now. The world is at your fingertips. With the continuously growing ecosystem of libraries and frameworks, you can now do pretty much everything in Python, from ML and data science to web development.
Especially when it comes to Deep Learning, Python developers thrive. Most serious development in exciting fields like object detection and speech recognition is happening in Python.
It may seem a little intimidating to jump from "Hey, I know Python" to "let’s develop some artificial neural networks", but it really doesn’t take that much to get the fundamentals down. If you know Python and NumPy, you are well on your way to building some simple deep learning models.
That’s why I’m excited to share with you our latest course:
A Beginner’s Guide to Deep Learning
In this course, you will start by getting the basics down: things like concepts and terminologies that are used in deep learning. You’ll then get to work with various models used like neural networks.
By the end of the course, you will have the foundations in place to start using deep learning in your own projects.
We’ve started to build up quite an arsenal of machine learning courses, so just in case you missed one, I’d like to share with you our best performing ones.
Happy Learning!
JavaScript in Detail / Web Dev Interview
Web development has gotten a lot more challenging to keep up with over the years. With new frameworks, increased processing power, and new advancements to JavaScript, the field has pushed the limits beyond what anyone could have anticipated 10-20 years ago.
Gone are the days of static websites being impressive. Developers today will often need to build a SPA (single page application) with a database, add authentication and authorization, and deploy it on AWS/Azure, all while scaling it for millions of users.
The "why" this has happened is a bit complicated. One key reason: web development has had to keep up with the demand for responsive, scalable, and expressive websites.
The net effect of all this is that it can feel like a tough field to crack into. But it is definitely worth it. The demand for capable web developers is probably higher today than it has ever been, and the payoff can be huge.
To help you crack into web development, I’d like to share with you our latest courses:
In Web Development Interview Handbook, you will cover a comprehensive range of questions that are most likely to be asked during the frontend interview. Where many interview prep courses focus on data structures and algorithms, this course focuses on a variety of topics from network security to system design.
JavaScript in Detail: From Beginner to Advanced will teach you everything you need to know to become an expert JS developer. This is a project-based course with 4 projects that will really hammer in what you’ve learned. You’ll start with the basics like functions, variables, and conditionals. You’ll then work your way up to asynchronous programming and object-oriented programming.
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
Hands-on Machine Learning with Scikit-Learn
There are a few staple tools that machine learning engineers swear by:: Matplotlib, Tensorflow, Pandas, and of course Scikit-Learn. I’m sure I left a few off, but these are the bread and butter.
Scikit-Learn is a powerful library that provides a handful of supervised and unsupervised learning algorithms, and if you’re serious about having a career in machine learning, then scikit-learn is a must know.
One of the toughest things to do is to create an ML algorithm from scratch, and that’s why scikit-learn is so valuable.
It contains a library of well-known algorithms that apply to a vast range of industries from finance to education and medicine. Scikit-Learn isn’t just for deep learning, it covers all aspects of ML.
So today, I’d like to share with you our latest course:
Hands-on Machine Learning with Scikit-Learn
In this course, you will cover all the most important aspects of scikit-learn. You will become familiar with built-in datasets such as iris and mnist, you will learn about feature engineering, as well as different types of regression.
Beyond that though, you will also get hands-on with tree modeling, deep learning and unsupervised learning. In all, this course will get you well-equipped with this tool. By the end, you will have a great new skill for your resume and you’ll be confident to use it in your own projects.
Here are some other exciting launches this week:
- The Complete Guide to jQuery: In this course, you will start by learning the fundamentals of jQuery such as the syntax and role of selectors. You will then move on to more advanced topics like events, DOM traversal, as well as effects and animations.
- Advanced Programming Techniques in C: Overall, if you want to up your programming skills in C, then this is the course for you. It’s by the man that literally wrote the book on C programming. Don’t miss it.
- Building Reactive Applications with RxJS: In this course, you will start by understanding the need for reactive programming and the role of observables play in asynchronous code. You will then move on to more advanced topics like subjects and operators which are fundamental building blocks to RxJS.
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
Learn how to design large scale applications
As you progress through your career, you’ll find that there are a lot of ways to stand out and land your next promotion. However, there is a common theme for those that move into senior dev or engineering manager positions: They have the ability to understand how software architecture should be structured and they know what it takes to design large scale applications.
There’s a reason most developers are uncomfortable with system design and software architecture. For many, they probably haven’t had the opportunity to design a system and implement an architecture because when you arrive at a company, a lot of those decisions have already been made.
But, designing large, scalable systems efficiently is one of the key responsibilities of Senior Engineers at large tech companies. So how do you become proficient enough in these areas if you have no real training?
At Educative, we’ve created a dedicated learning track, Scalability and System Design for Developers, to help you succeed in these areas. The courses in the track include:
- Web Application and Software Architecture 101
- An Introduction to Microservices Principles and Concepts
- Microservices Architecture: Practical Implementation
- Grokking the System Design Interview
With these courses, you’ll gain the confidence to master system design and architecture. Who knows, maybe you have a startup idea. But if you’re asking yourself, how do I implement my app? What technologies do I use? Where do I start? These courses will help you kickstart your entrepreneurial journey.
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
[7 of 7] Cloud computing 101
The holiday offer is still on the table - but not for much longer: Get an Educative Unlimited annual plan at 20% off.
This is the last part of our series of 7 great pieces of content. That was a lot to write, so after this I think I’ll take a short break :)
The events of 2020 have turned most predictions for 2021 on their head. Surely, trends like AI and the Internet of Things will continue to define the ways in which tech reshapes our lives, but the most significant use cases now involve helping us to adapt in the changing times.
No trend is more relevant to this than cloud computing.
Cloud is the backbone of the data-driven, app-based tech ecosystem that has been vital in helping us manage this change, with AWS obviously the lead provider. Everything from contact tracing to home delivery services, remote medicine, and working (and playing) from home has been revolutionized by cloud services.
Developers usually prefer to run their services on cloud infrastructure for the multiple technical and economic benefits they provide. There is an ever-rising demand for cloud experts, and having the knowledge of cloud computing gives you an edge over other engineers.
Even if you don’t have aspirations to be a cloud architect, a devops professional, platform engineer, or SRE (I'm sure I missed a few), being able to confidently navigate AWS is a crucial skill that will come in handy on a lot of projects.
So, if there’s one skill to learn in 2021, I highly suggest taking a look into cloud computing. To help you get that ball rolling, I’m sharing with you some exciting courses:
Cloud Computing 101: Master the Fundamentals is a great platform-agnostic place to start your cloud journey.
The Good Parts of AWS: Cutting through the Clutter will you help make the most of your AWS investment by showing you the parts that are worth spending time on.
Running Serverless Applications with AWS Lambda is perfect if you want to run a stress-free serverless deployment on AWS.
Happy Learning!
[6 of 7] Operating Systems: Master your CS fundamentals
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This is part of a series of 7 great pieces of content we’re sharing to celebrate. If you’d rather not receive these emails, you can click here to opt out.
When it comes to software development, I can’t stress enough the importance of CS fundamentals - things like data structures, algorithms, and computer networking.
Along that vein, a firm understanding of operating systems is a crucial skill that can help you work more effectively with a lot of production software.
Even if you’re not writing kernel code, learning about operating systems will teach you many other foundational concepts such as concurrency, resource management, and even computer system design. Not to mention, it will help you solve tricky problems such as slow programs, memory leaks, and race conditions.
Most code you write will eventually interact with the abstractions that your OS provides you. There will always be a ceiling to your impact as a software developer if you don’t have a grasp of how computer systems actually work.
If you’re interested in refreshing your OS knowledge on the fly, here’s an in-depth blog post we wrote up earlier this year.
Alternatively, if you want to dive right in and start hitting the ground running, you can check out our extensive OS course:
--> Operating Systems: Virtualization, Concurrency & Persistence
The course was created by none other than Remzi and Andrea Arpaci-Dusseau, authors of the famous book on OSTEP and a couple of the most qualified people in the world on things OS related.
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
[5 of 7] Introduction to Big Data and Hadoop
Don’t miss out on 20% off an Educative Unlimited annual plan - this is the lowest price it’s ever been.
This is part of a series of 7 great pieces of content we’re sharing to celebrate. If you’d rather not receive these emails, you can click here to opt out.
It's fair to say that most of the original hype around Big Data has slowly given way to skepticism about what it really makes possible.
Big Data is not a magic wand. However: ignore it at your own cost. Organizations that adopt a genuine data-first mindset to solving difficult problems at scale have been able to make it a real competitive advantage.
For software developers, there's probably never been a better time to get into the field. Cloud providers like AWS continue to lower the barriers to entry with their relatively inexpensive cloud-native solutions. Meanwhile, the increased adoption and growing ecosystem of technologies like Hadoop and NoSQL continue to make it easier to get more done.
One more reason to invest in learning to work with Big Data: employers love it. Companies of all sizes are constantly collecting data and they need someone to help make critical business decisions with it. Many of the companies that initially chased Big Data as a fad have started moving on, so it’s also becoming more likely you’ll be able to do meaningful work after landing.
Here’s a fantastic course to check out if you’re interested in getting started:
Introduction to Big Data and Hadoop
In this course, you’ll get the chance to dive into the fundamentals of Big Data such as YARN (yet another resource manager), MapReduce, HDFS (Hadoop Distributed File System), and Spark, all while getting your hands dirty along the way.
It’s the ideal first step on your Big Data journey.
Happy Learning!
[4 of 7] ML System Design
We’ve brought back our hugely popular offer for a limited time for the holiday season. Don’t miss out on 20% off an Educative Unlimited annual plan - this is the lowest price it’s ever been.
This is part of a series of 7 great pieces of content we’re sharing to celebrate. If you’d rather not receive these emails, you can click here to opt out.
In the coming years almost every system will have a machine learning component to it. Most actually already do, even the ones that may not be obvious.
This reality is reflected in System Design interviews too. The fact is, ML is now a key part of many system design interview questions, such as designing a Facebook-like newsfeed or building a Netflix-like recommendation system.
Designing these systems can be a challenge without an understanding of how the ML component will be developed. And being able to speak confidently about the ML component’s design will help you stand out from your peers.
So how do you go about answering these interview questions? I highly encourage you to check out my blog post on this: Anatomy of a machine learning system design interview question.
In the above post, I break down common themes in ML system design interview questions and provide a fairly simple framework for how to approach them. Let me know what you think.
Once you get an understanding of the approach, it will help to practice a lot. That’s why I also strongly recommend you check out our course that focuses directly on ML system design: Grokking the Machine Learning Interview.
With this course you’ll also get the chance to practice some of the most commonly asked ML interview questions in the industry, and review solutions in a lot of detail.
Happy Learning!
[3 of 7] Have you used your 2020 training budget?
You may have heard: Educative Unlimited subscriptions are currently 20% off. (You'll need to be logged in to see the offer.)
This is part of a series of 7 great pieces of content we’re sharing to celebrate. If you’d rather not receive these emails, you can click here to opt out of this special series.
There's one common theme I hear all the time from developers I speak with. Staying relevant in this quickly changing tech landscape is a constant concern.
According to this year's Hackerrank survey, 59% of developers regard the "opportunity to learn new tech skills at work" as the most important form of professional growth to them.
The good news is that companies are catching up. Among other things, it’s become pretty common for engineering teams to have training budgets that managers can (and do) use at their discretion to help developers level up on the job. Sometimes you just have to ask for it. :)
Even if you don’t have an explicit training budget as a compensation perk, your manager will usually be quite happy to see you take the initiative to sharpen your skills and will not mind reimbursing the expense. So before the year wraps up, you may check in with your manager to see if they'll help out.
--> Get Educative Unlimited (20% off)
Whether you’re a team lead yourself or just want your organization to cover your learning costs, don’t miss out. And with the end of the year closing, you might as well use it instead of lose it.
Related: If you’re interested in buying Educative for your team, check out Educative for Business.
P.S. Are you looking for advice on how to speak with your manager about this? Drop me an email and I’ll see if I can help.
My question for you today is:
What technical skills would be most useful for your team in 2021?
Happy Learning!
[2 of 7] System Design & Scalability
Educative Unlimited subscriptions are currently 20% off. Get in the door while you can.
We’re celebrating by sharing 7 awesome pieces of content. If you’d rather not receive these emails, you can click here to opt out of this special series.
As you progress in your career, you’ll find that you’re tasked with less coding and tasked more with designing features, implementing the right architecture, and ensuring the application is scalable.
These are all fundamental skills of a senior engineer, and will set you apart from your peers when you go looking for a job.
One of my favorite quotes to describe architecture and scalability is that "it’s the things you wish you could get right early in a project". This is so true for many applications. I can’t tell you how many times I’ve seen teams of engineers having to back and redesign an application due to an early oversight or poor prediction.
There is a lot to consider when designing a scalable distributed system. What kind of architecture should you use? How many tiers should the app have? What APIs will be implemented? Vertical or horizontal scaling? Which database? And so on. You can start to see how everything works together to make an entire app.
To help you with that, today I’d like to highlight one of our most popular learning paths from this year:
Scalability & System Design for Developers
In this learning path you will cover everything you need to know to design scalable systems for enterprise-level software. You’ll learn about software architecture, how to implement microservices, how to prepare for a system design interview, and lastly, some practical considerations to help you scale with AWS.
Question of the day:
What do you struggle with most when it comes to system architecture?
Happy Learning!
[1 of 7] 3 tools to maximize your productivity
Don’t forget that Educative Unlimited is currently 20% off. (You will need to be logged in to see the offer.) As promised, here’s the second piece of useful content I’d like to share with you to celebrate.
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One conclusion most developers eventually come is that the tools you use can make all the difference.
Think about it this way: you get paid to spend a finite number of hours a day writing code. If there is a tool you can use that makes you even 10% more efficient at accomplishing a particular subset of repetitive tasks, then over the course of your career it could be giving you back months of time.
Today, I'm recommending you invest some time in mastering 3 of the more basic tools that will benefit just about any software developer. There are many more you can add on to these depending on your goals and needs, but these are probably going to be among the lowest hanging fruit for most people.
The first tool is the command line. The command line has become the Swiss Army knife of features behind deceptively simple commands, and allows you to gain greater control of your system.
Whether you’re debugging a program, working with cloud services, or working with hundreds of text files, the command line will save you tons of time. Here is a short tutorial with some simple tricks to get you started:
Top 25 Bash Commands and Creating Custom Commands
The second tool is Git. In any software development project, you’ll want to have a version control system in place. It will vastly improve your productivity.
Whether you need to revert code, collaborate in a big team, or you need a single source of truth, Git will be the best tool. It keeps you organized and ensures there won't be any code conflicts in your team.
If you’re interested, here is a course you can start with:
A Guide to Git & Version Control
The last tool is SQL. Virtually every application will have a relational database and SQL is the means to interact with it. There will be a number of times in your career where you’ll have to uncover insights into how users interact with your product. Running SQL queries is the most powerful and efficient way to do that. It really is a valuable skill that will stay with you for awhile.
If you’re a dev looking to get started with SQL, I’d start here:
Your time is your most valuable asset. Try to always be on the lookout for things that will allow you to do more with less time. If you do this enough, it will have an exponential impact on your output over your career.
And now, I’d like to ask you a question:
What single tool most increased your productivity as a developer?
Happy Learning!
Full-Stack Development with Nodejs and AdonisJs
For web developers serious about going full-stack, there are two technologies that should be on your radar: Node.js and AdonisJs.
We all know how popular Laravel and PHP have been. Rarely have we seen a more dynamic duo in web development, particularly for full-stack devs.
With that said, there's been a need for a technology that works with Node much like Laravel works with PHP. You could make the argument that there are already some out there like Express and Koa, but these typically handle routing.
Consequently, you start to rely on external libraries and middleware to help you with authentication, authorization and the like. So, you can end up spending a great deal of time searching for the right NPM libraries instead of building the application.
So to get something like the Javascript equivalent of PHP and Laravel, and to turn yourself into a more complete developer, I highly recommend checking out Node.js and AdonisJs. I'm pleased to share with you today:
In Building Full-Stack Web Applications with AdonisJs, you will learn the fundamentals of this powerful framework. You’ll start by learning about routing and middleware and work your way up to controllers & views, hooks, and how to deal with requests and responses. By the end of this course, you’ll have no problem using AdonisJs in your own projects.
A Guide to Securing Node.js Applications will show you the best practices when it comes to securing your application. You'll learn a number of different things from implementing HTTPS to authentication and access control.
Happy Learning!
Introducing: Learning Paths
When we started Educative, it was easy to find courses. They would fit on a single page without much (or any) scrolling required.
However, over time we've brought on more and more awesome authors, and begun shipping 3-5 courses a week. This is fantastic, of course, but… it has also made it more difficult for learners to find the right courses.
Every week, I get emails from learners like you who want me to "recommend them courses" to learn something: e.g.
- Can you recommend the best courses for me to become a Python developer?
- I'm new to web development and want to become a React developer. What courses should I take?
- I have a FAANG interview coming up in 3 weeks. What courses will help me pass the interview?
And slowly, I started realizing the issue - we are shipping a lot of new courses, but missing a key element: learners are looking for a structured way to learn a new skill.
That led us to the development of Learning Paths.
What are learning paths?
Paths are curated guides to help you learn specific skills. They’re basically sequences of individual parts of various courses that we’ve chained together.
We’re not just talking entire courses: instead, we’re selecting the best parts from within various courses on a topic, carefully eliminating any overlap and making sure they tie into each other as seamlessly as possible.
This way, you don't have to spend mental energy doing your own research on which courses go well together, or skipping the parts you’ve already covered - we’ve done it all for you.
I recommend seeing them in action. We’re launching 8 today, with a bunch more coming soon. Here are a few you can start with:
Or, see all 8 new Learning Paths.
With the launch of Learning Paths, we’re sunsetting our older learning tracks feature. If you’ve bought some in the past, however, you will of course still be able to access them.
If you have any questions or suggestions for us, I’d love to hear them. Feel free to send me a note and I’ll get back to you :)
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
Learn to build Android apps & web apps
If you’re going to dedicate time to learning the syntax and quirks of a new language, you want to make sure you’ve chosen a language that will justify that investment. To assess that, it can be useful to look for things like:
- Are major companies / products using the language already?
- Is adoption of the language increasing?
- Is the ecosystem vibrant?
- Does it endorse a paradigm you’re comfortable with?
- How low / high level is it?
Of course, there are many other considerations as well. Especially as you get into more niche requirements, it might be useful to learn a language that works particularly well for a specific project you’re working on.
If you’re looking to maximize your job and salary prospects, it’s probably a good idea to optimize for the first 2 questions. That’s where it can be particularly useful to invest in learning languages like Kotlin and Dart.
These both happen to be in the position of having Google’s significant weight thrown behind them in support. They’re on the rise. To crack into the lucrative field of mobile development, learning one or both of these makes a lot of sense.
Google recently announced that Kotlin is the preferred language for Android development. Up to 50% of Android development is now happening in Kotlin.
There are a lot of similarities between Java and Kotlin (for one it’s 100% interoperable), but developers are embracing Kotlin for its simplicity and expressiveness.
On the other hand, Dart is a "new" web dev language that was developed in-house by Google.
If you’re unfamiliar with Dart, it’s a class-based, object-oriented language. It was designed to be a "better" JavaScript (depending on who you ask) with more structure, type safety, and faster compilation speeds.
Sure, JavaScript isn’t going anywhere, but there is a lot you can do with Dart that you can’t easily do with JS.
For example: you may have also heard of Flutter, Google’s powerful mobile UI framework used for crafting high-quality native interfaces on iOS and Android. By learning Dart, you’ll be able to use Flutter which unlocks a lot of new possibilities.
So, I’d like to share with you two courses today:
Whether you want to build Android apps or just be on the cutting edge of web dev technology, these courses will help you out.
Happy Learning!
Building Advanced Deep Learning & NLP Models
I’ve always been a huge believer in learning by doing. I think there’s real value in taking what you’ve learned, piecing it together, and building something. (That’s one of the main reasons I created Educative after all.)
As a machine learning engineer, you need to know things like which models to use for certain tasks, how they might improve training speed or model accuracy, and above all else, how to code machine learning models.
The last point is what I want to focus on: "how to code machine learning models".
It’s one thing to know the calculus behind backpropagation and gradient descent, but it’s an entirely different skill to be able to build real-world machine learning models.
Employers love when you can show that you’ve worked on real projects. Particularly in interviews, you’ll get some great bonus points if you can show that you not only know what you’re talking about, but you have the experience to back it up.
So, in the spirit of building ML models and practical experience, I’d like to share with you a very exciting course:
Building Advanced Deep Learning and NLP Projects
What I really like about this course is that it’s project focused with 12 in total. It will really get you used to building real-world applications using machine learning. You’ll work with all the tools of the trade like NumPy, Matplotlib, scikit-learn, and Tensorflow.
If you really want to get some practical experience with deep learning and NLP, then I highly recommend this course. Plus you’ll have some great additions to your portfolio.
Some other exciting launches this week:
- Data Science Interview Handbook: This course will increase your skills to crack the data science or machine learning interview. You will cover all the most common data science and ML concepts coupled with relevant interview questions.
Happy Learning!
Educative Unlimited - Full access to every course
Have you noticed any courses that pique your interest? If not, I’d love to hear if there’s something specific you’re looking for. Please feel free to reply to this email with your suggestions - I read each one and take them very seriously.
If you’ve noticed a couple courses that you’d like to take, I highly recommend checking out Educative Unlimited - which happens to currently be 47% off. You'll get full access to every course we've got. It's a great option if you want to:
- Explore any of your interests, like data science, ML, Kubernetes, etc.
- Learn at your own pace - you can get a full year of access to all the courses you want
- Save money on taking multiple courses
- Easily switch courses if a new one comes out
- Have access to weekly new courses
We believe in accessible and affordable learning. With a subscription, you’ll have access to all of our 150+ software development courses, so you’re not left with having to choose one course over another. This is the best way to make the most of Educative's platform..
In the meantime, if you have any questions for me, please feel free to reply to this email and I’d be happy to answer them for you.
Happy Learning!
Welcome to Educative!
Welcome on board! Educative helps software developers like you efficiently grow your skills, stay relevant in a rapidly changing industry, and land the job of your dreams.
Whatever your goal is, you’ll be learning on a platform created by developers, for developers so you know you’re getting the best in-class training around.
How is Educative different? When I was learning, I always found it cumbersome to:
- Sit through a tutorial video and have to scrub, rewind, fast-forward,
- Spend hours on setting up the developer environment,
- Switch back and forth between the video and the IDE and so on.
At Educative, with text-based courses and embedded coding playgrounds, you’ll find that you can dictate the pace and get hands-on with the material right from the start. Whether you’re trying to get a better job or just get better at your job, you’ll be able to learn faster than ever.
We’re very happy to have you in our community, and if there’s any way we can make your learning experience better, please don’t hesitate to reach out to me. :)
Happy Learning!
-- Fahim
CEO & co-founder, educative.io
