Checklist: 5 Things to do Before Your First Day of Lambda School
lamdba student


Congratulations on being admitted to Lambda School! You’re about to embark on a journey that will change your career, and ultimately your life. It won’t be easy – Lambda School is an intense full-time commitment for 9 months (or 18 months if you’ve been admitted to a part-time program) – but you can do it, and we’re here to help. 

Here are 5 things to do before your first day of Lambda Launch to ensure you get the most out of your time at Lambda School:

1- Ensure that you have the right equipment for your chosen track:


Recommended specs for Data Science & Web Development students:


Minimum:

1.6 GHz Processor

4 GB RAM

120 GB Hard Drive

Web Cam

Microphone

Recommended:

2 GHz Processor

8 GB RAM

256 GB Hard Drive (preferably solid state)

Recommended operating systems (in descending order): macOS, Windows 10, Ubuntu

Other versions of Windows work but students should anticipate occasional environment issues. Chromebooks are not supported, as coursework involves installing and running software locally.

Recommended specs for iOS Development students:


**MacBook required**

Minimum

128 GB SSD (or Fusion Drive)8 GB of RAM

macOS Mojave 10.14, which is supported on the following:

• MacBook (Early 2015 or newer)

• MacBook Air (Mid 2012 or newer)

• MacBook Pro (Mid 2012 or newer)

• Mac mini (Late 2012 or newer)

• iMac (Late 2012 or newer)iMac Pro (2017)

• Mac Pro (Mid 2010, Mid 2012, and Late 2013)

Recommended

2 GHz Processor

256 GB SSD

2- Commit to Your New Schedule


If you enrolled in a full-time program, now is the time to clear your schedule so you can be online and ready to code from 8 am to 5 pm Pacific. Monday through Friday. If you’re enrolled in a part-time program, you’ll need to commit to Monday through Thursday 6 pm to 9 pm Pacific or 4 pm to 7 pm Pacific depending on your cohort, plus your choice of Friday, Saturday, or Sunday. If you live in another timezone, you’ll need to take that into account as you’re setting your new schedule. All students are required to attend 95% of course hours to graduate.

Our staff is committed to helping you find a job after graduation, but not every student is hired immediately after finishing their coursework. Of the 201 students who graduated in H1 2019 and were placed in jobs, 116 (58%) accepted jobs within 90 days of finishing the coursework, 68 (34%) accepted jobs between 90 and 180 days after, and 17 (8%) accepted jobs after 180 days or more. Prepare now to fully dedicate yourself to the job hunt after you finish the coursework. Learn more about our placement rate in our H1 2019 Student Outcomes Report.

3- Set Expectations With Loved Ones

Have honest conversations with your loved ones, and especially with your partner, about the level of commitment required for you to be successful at Lambda. Due to the interactive nature of Lambda’s live, online curriculum, you’ll need to have a quiet place to work that’s free of distractions.

Be sure to discuss who will handle family responsibilities, including childcare, while you’re attending class. The time you spend at Lambda will be some of the most impactful and transformative of your entire career, but they will also be some of the most difficult. Prepare to set healthy expectations and boundaries with your loved ones ahead of time. 

4- Create Your Remote Learning Environment


lambda student on Zoom


One of the best parts of Lambda School is the ability to attend class from anywhere - whether that’s in a coffee shop or in your spare bedroom at home. Wherever you choose to learn, having a quiet, dedicated workspace will be crucial for you to focus in class and participate in team stand-ups and pair programming. Adding a comfortable desk chair to your new workspace will make the long days of building and shipping that much easier on your back. Lastly, fill your remote classroom with things that will help you feel productive and happy, whether that’s your favorite pen and notepad, a plant, or some work-appropriate art. A second screen is not required, but will be helpful as you juggle Slack, Zoom, and GitHub windows.

Remember that you’ll spend much of the day on Zoom calls, so ensure that the background of your workspace is neat and tidy, and that you’ve tested your tech ahead of time so you won’t be late on your first day. 

5- Keep Your Skills Fresh


Lambda School is an intensive, fast-paced program designed to prepare you for a whole new career in just 9 to 18 months. Passing the Lambda Challenge signals to us that you have the minimum skills required to succeed in the program, but the pace of the curriculum means you’ll be expected to build on those skills very quickly.

Learning to code at Lambda School is like learning a new language by moving to a foreign country – we’re immersing you in a new culture, and while you’ll have access to a guide, you’ll need to be resourceful and curious in order to learn and communicate effectively.

We highly recommend you spend some time setting yourself up for success by utilizing the following free coding resources while you wait for the first day of class:

Resources for learning Web Development:

Start by completing the Web Development precourse work to get familiar with the concepts you’ll be learning in the full Lambda School coursework. Then, start working your way through the following web development resources to keep up the momentum:

  • First,  sign Up for a Github Account if you don't already have one. After the first couple of weeks, this will be the account you use to turn in assignments; you can also expect to use this account as a portfolio well into your new career.
  • Use Wes Bos' What the Flexbox to improve your CSS. Wes Bos’ 30 Day JS Challenge is also a great resource to get into the nitty gritty of JavaScript. It's okay if you're less than 30 days from class starting — completing as much of the challenge as possible before Day 1 will help you be better prepared for class.
  • Explore Code Challenge sites. There are lots of different sites which offer challenges for various languages, at various skill levels. Check out Edabit, CodeWars, CoderByte, LeetCode, or CodinGame and see which one looks the most fun to you.
  • Download Visual Studio Code. All of your instructors and TLs will be using VSCode, which you can download for free. If you're on a Windows machine, you'll also need to download and install Git.
lambda student coding

Resources for learning Data Science:

Start by completing the Data Science precourse work to get familiar with the basic concepts you’ll be tackling in class.

Getting good at Python will be your number one priority at Lambda, so check out these:

If you're already comfortable with Python, you can begin diving into Statistics and Linear Algebra.

Resources for learning iOS development:

First, complete the iOS precourse work to get a preview of the concepts you’ll be learning in class. Then, work your way through the following resources:

  • John Sundell is a prolific Swift expert. Before your first day, we encourage you to check out his articles on the basics of Swift and iOS development.
  • Paul Hudson also shares tons of great ideas on learning Swift and iOS. He has a 100 Days of Swift challenge that provides lots of small lessons about different parts of the language. You won't likely have time to complete the entire challenge, but even just working on a little each day before you start at Lambda will help you keep your skills sharp for class.
  • If you're feeling adventurous, this video series digs into all kinds of iOS topics. Some of these are fairly advanced, so don't get discouraged if it all doesn't make sense. This series is a great thing to bookmark for checking out later in the course or when you're through the curriculum.
  • Lastly, before your first day of class, we encourage you to download Xcode, which is the app devs use to create iOS, iPadOS, watchOS, tvOS, and macOS apps. We'll use it throughout the iOS track at Lambda School. It's free to download on the Mac App Store. Xcode is only available for macOS.


Get ready to work hard and we’ll see you in class!

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