Do you want to learn AWS (or an experienced AWS dev) ?

Here's a list of Github repositories you should check out:

🧵👇🏻

Things I wish I knew 10 years ago:

- it's okay to be yourself
- exercise more often
- invest in relationships
- importance of eating healthy
- money isn't everything
- learn for pleasure
- take the time to be in nature
- put aside technology more often

Are you a Senior Developer & struggling to switch your job?

Here's a thread on how you should prepare before sending out job applications:

🧵👇🏻

First of all know that there's a lot of demand for good software developers.

It's hard for companies to hire good mid level developers. Some of the interviewers I've talked to recently have mentioned this!

So, if you're good, you can always get into a high paying job.

I have 6.5 years of experience mainly as a Backend Developer. Although I do work a bit of front-end tasks as well as part of my current job.

In this thread I'm going to talk about how I would prepare if I was going to apply for a job interview.

As a mid level developer having 4 - 8 years of experience, you will be expected to have certain skills to be hired by companies. Skills like:

- Problem Solving
- HLD
- LLD
- Mentoring / Code reviews
- Taking responsibility
- Leading end-end development & release of projects etc

Problem Solving:

Even though we mostly never write a lot of game changing Algorithms and use data structures, you're still expected to know the most common ones and how to use them to solve problems:

- Tree
- Linked List
- Heap
- Hash Map
- Array etc

How should one approach System Design questions during an interview?

Here's the step by step guide:

🧵👇🏻

System design interviews are generally open ended discussions. There's no one right answer.

The main focus in this round is to see your thought process and whether you'll be able to design a minimal system keeping future scale in mind and by following the standard principles.

Know that many interviewers deliberately make it hard to see how you approach a given problem.

You cannot possibly design a complex system in 1-2 hours which engineers usually take months to years to design, develop and build.

So this is how you should approach this round:

1. Clarify the requirements: As mentioned earlier the questions are generally very open ended. So you need to ask a lot of question to set the scope clear for the discussion.

Example: "Design an application like Twitter"

Twitter has a lot of features like:
- Post tweet
- Home timeline
- Profile timeline
- Analytics
- Likes
- Retweets
- Following
- Bookmark
- Trending etc

You get the idea!

Wanna Learn Programming (Python, Java, Swift, and C++) for free?

Here are some of the best freely available online tutorials you can learn coding from. A Thread👇

Introduction into all of the core concepts in python. Course developed by @mike_dane

Python for beginners - (includes machine learning & web development projects). Course created and developed by Mosh

Advanced computer vision using Python. You will learn state of the art computer vision techniques by building five projects with libraries such as OpenCV and Mediapipe. Course created by Murtaza

C++ full basic Tutorial series by Cave of Programming

A complete beginner's guide to CSS Grid layout 👇🏻

Thread🧵

Grid is used for making complex web design layouts more easily as it's not so hard to master

Using Flex you can make only 1D layout but Grid gives you full power of creating 2D layout

Let's start

{ 2 / 21 }

First things first, start with giving the display property "grid" to the container element or parent element

{ 3 / 21 }

Nothing will change after adding display: flex; in the parent container becuase we need to define the width of columns. In order to set that columns width we have gird-template-columns property

{ 4 / 21 }

Let's start with defining the width of our columns.

For example, let's say I need two columns of width 60% and 40% respectively

grid-template-columns: 60% 40%;

{ 5 / 21 }

You are looking to get into Machine Learning? You most certainly can
Because I believe that if an above-average student like me was able to do it, you all certainly can as well

Here's how I went from knowing nothing about programming to someone working in Data Science👇

The path that I took wasn't the most optimal way to get a good grip on Machine Learning because...

when I started out, I knew nobody that worked or had knowledge of Data Science which made me try all sorts of different things that were not actually necessary.

I studied C programming as my first language during my freshman year in college. And before the start of my second year, I started learning python just because I knew C is not the way to go.
I learned it out of curiosity and I had no idea about Machine Learning at this point.

I did not learn python by courses but by books. I'll link all the resources at the end.
The approach I took was just to make the same kind of programs I made in C but just replacing the syntax with that of python and practised those.
Already knowing a language made it easier.

For Machine Learning, the first thing that I did was to join Andrew NG's course which really hit it off for me
I didn't have to have any idea about Machine Learning for the course. I completed that in almost a month and it gave me a good intuition of things and the flow of ML.