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5 Top Python Skills In Demand in 2022

Posted in Python

Possibly the only programming language named after a cult TV show, when Python creator Guido van Rossum was working on the language in the late 1980s (it is a successor to the ABC programming language, which he also helped to develop), he was reading the published scripts from Monty Python’s Flying Circus, an off-the-wall British comedy series from the 1970s. 

Needing a unique, catchy name people would remember, Python stuck. Its first iteration was released in 1991 as Python 0.9.0. Python 2.0 was subsequently released in 2000, with Python 3.0 following in 2008. Python 2 was discontinued with the release of version 2.7.18 in 2020.

It consistently ranks as one of the most popular programming languages in the world. SlashData, a leading analyst firm in the developer economy, estimated that the language gained more than two million new developers in 2018 and in 2019, Zdnet reported that Python was now more popular than Java. That year, there were 8.2 million developers in the world coding using Python, compared to those using Java, at 7.6 million.

So why is it so popular? There are many reasons. It’s particularly beloved by the younger cohort and around 40% of Python users are between 21-29 years old, with a further 10% in the 18-20 age group. It was designed to be easy to code and program with, being similar to the standard English language. 

It is no surprise, then, that it appeals to beginners: as of 2020, almost a third of all users had less than one year of coding experience.

That’s not to say it is for amateurs. Very far from it: Netflix, Google, Uber, Spotify, Apple, Microsoft, Facebook, and JP Morgan Chase are just some of the huge names using the language. With its vast libraries support, portability, and open source license, Python is a very productive language.

So, what are the key skills a Python developer needs to know in 2022? 

  1. Good debugging skills
  2. AI and machine learning (More than 69% of machine learning developers and data scientists now use Python)
  3. List Comprehension and Slicing 
  4. Good understanding of Python Libraries
  5. Expertise in Core Python (Iterators, generators, Object-Oriented Programming Language etc)

If you want to progress a career as a Python developer we have three interesting roles to check out below - and there are plenty more to discover on the Job Board.

Senior Data Analyst (Python, Tableau, Mode and Power BI), Deloitte

The Role: Deloitte is looking for a Senior Data Analyst to develop and implement pricing strategies. You will be involved in both strategy and execution, and you will be critical to the success of revenue operations.

The Responsibilities: The ideal candidate can navigate complex technical and business topics, has strong analytical problem-solving skills, and can be both strategic and detail oriented. You’ll be driven, collaborative, and can communicate complex ideas with ease.

The Requirements: A Bachelor's degree in computer science, IT, computer engineering, or a related IT discipline (or equivalent experience), as well as over five years’ experience in consulting, analytics, strategic finance, or start-up operations is required. Proficiency with SQL required; proficiency in Python is a plus.

Apply for the Senior Data Analyst job or check out more opportunities at Deloitte.

Senior BI Analyst - Monetization, Indeed

The Role: The Senior BI Analyst - Monetization works to understand employer behavior and frames hypothesis-driven approaches to strategic questions that can be tested using Indeed’s data.

The Responsibilities: You will deal with messy data across a number of systems including IQL, Snowflake, and Google BigQuery. A firm grasp of relational database concepts and data transformation using Python is a must, as are strong data application skills. You’ll make recommendations based on data across these systems, and provide feedback and suggestions on how to improve data quality going forward.

The Requirements: You need five years of experience in SQL, and solid Python programming skills to cleanse, manipulate, and present data, particularly using Pandas and Numpy.

Discover more on the Senior BI Analyst - Monetization role or find other jobs at Indeed.

Lead Data Collection Specialist, Leidos


The Role: Leidos is seeking a motivated and talented Lead Data Collection Specialist to join its data science team to participate in the gathering and initial analysis of data required for research and development of automated security solutions.

The Responsibilities: You’ll contribute to a team that is pushing the envelope in object detection and image processing capabilities to improve the overall state of real-time decision processes in security screening systems.

The Requirements: Intermediate skills in Linux shell commands and scripting (experience in R and/or Python) for cleaning, parsing, and organizing data onto servers would be an advantage.

Get the full Lead Data Collection Specialist job description or check out more roles at Leidos.

Find a new career where you can put your Python skills to the test on the Job Board.

Kirstie Mcdermott

Kirstie Mcdermott

Kirstie works for our job board partner, Jobbio. Based in Dublin, she has been a writer and editor across print and digital platforms for over 15 years. View all posts by the Author

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