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How to Get Involved inside Booming Python Job Market

How to Get Involved inside Booming Python Job Market

From finance artificial intelligence, information technology to web development, there isn’t a place wherein Python isn’t consolidated and flourishing. 

So let’s talk about real salaries, in-demand skills, marketplaces, and what to do that allows you to remain competitive.


Find remote jobs in tech, along with Python, on SitePoint Remote.

Also read, Best Python IDEs to use in 2020

The Job Market Today




Information technology has created an exceedingly various and dynamic market and saying “laptop technology” on my own is something of an umbrella time period now. 


Pretty much the whole lot has elements of IT in it to some degree — from the algorithms that recommend which TV collection you should watch to the code in this page, and even the software integrating your own home equipment with your mobile.

We are talking about:

1. AI
2. cloud development
3. cryptocurrencies and finance
4. data science
5. web development and mobile apps

Nearly any position in an exciting, forward-moving, and profitable enterprise would require Python mastery.  


But programming alone won’t reduce it. You’ll also need solid knowledge particular to the industry before you will be considered for the role.

Statistics Analysis and Deep Learning

Machine learning: Python in comparison to R and MATLAB.

It’s probably not necessary to explain why Artificial intelligence (AI) is hot right now. In fact, it seems like a method for financial achievement over the past decade was:

fund an AI startup
successfully develop a proof-of-concept
be funded or acquired
collect profit.


Machine learning is still on, but these days the name of the game is deep learning. If you’d like to dig even deeper, look at convolutional neural networks.


Math


In our current situation, what that means is that if all we know is AI, whatever problem is presented to us we’re going to try to find datasets and train algorithms for it, when surprisingly often what we needed was just a simple probabilistic model to be able to make a quick prediction. 


Let’s take a look at how Python has stacked up towards other languages in each field during the last five years on Google Trends, and also discuss what additional information will be expected from you.


If you’d like to go a step further and compliment your AI knowledge, look into:

descriptive statistics
probability theory
inference
linear algebra 


Salaries

The share of jobs requiring AI skills has grown 4.5x in the last five years, with one in four North American companies having ML embedded in at least one enterprise function as of 2018. 


Additionally, Apple, Facebook, and Google are investing in deep reinforcement learning (DRL), and AI-enabled tools are expected to generate nearly $3 trillion in business value by 2021, with the Natural Language Processing (NLP) market alone predicted to reach $22 billion by 2025.


With all this, it’s no surprise that top AI specialists are making $300-500k salaries.


 Microservices and Serverless Computing
Serverless architecture: Python compared to JavaScript and Go.

This is another way of saying integrating services with the cloud — and yet it’s another field you can be most certainly will keep on growing.


In the “serverless” execution model, companies are ready to reduce maintenance, save costs, and effectively exchange information across all platforms.


What and Where


There are a variety of cloud infrastructure providers, but to remain competitive you can focus on handling things with these three:


Particularly, you want to be able to implement and deploy APIs with AWS Lambda and the Amazon API Gateway — or their equivalents in Google’s Cloud Functions and Microsoft’s Azure Functions.

Extra: see a Comparison of Shared and Cloud Hosting, and the way to settle on to further understand how these cloud providers structure their services.

Salaries

DevOps-related roles have doubled since 2015, and there are more than 50K+ cloud computing jobs within the US alone.

For a cloud specialist in the US, the median salary is $146K.

Blockchain and Quantitative Analysis

Blockchain: Python compared to C++ and Java.

Originally I didn’t decide to include blockchain in this listing because within the (limited and surely biased) way during which I see things, it wasn’t all that clear to me that cryptocurrencies would still be a thing just a few years down the road.

But hey, it’s a fairly active field right now with job offers everywhere place!

Finance: Python compared to C++ and Java.


And if you collect enough knowledge to know the financial aspects of cryptocurrencies, along with Python mastery, that would open many doors at the IT departments of some investment banks and fintech startups.

Blockchain is n't only the foundation for cryptocurrencies but can also be used to build distributed ledgers with a number of applications.

Salaries

As we mentioned, blockchain demand is booming, and therefore the market is expected to grow at over 60% per annum.

Blockchain engineers are making between $150k and $175k.

Big Data and Data Analytics

Data science: Python compared to R and Scala.

Data science has an ever-increasing number of fields of study:

It also has endless practices and tools, such as cleansing, collection, compression, curation, farming, integration, migration, preservation, recovery, retention, scraping, wrangling.

Hopefully, it's becoming fairly evident that Python is simply a tool, and the way much there's to find out about all of the various ways during which you'll use it — be it biology, finance, social phenomena.


Salaries


The investment in data-driven processes has doubled in five years, to $1 trillion in 2018, and more than half of the companies plan to increase positions requiring data analysis skills.

A data engineer in the US can make an average base pay of $115k.