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Top technologies to learn based on Djinni vacancies

How to update(scrape) data

  1. Clone repository

    git clone https://github.com/mykolamateichuk/top-technologies-to-learn-based-on-djinni

  2. Go to the cloned folder

    cd top-technologies-to-learn-based-on-djinni

  3. Go to the parser folder

    cd parser

  4. Scrape data using Scrapy

    scrapy crawl djinni -O vacancies.csv

  5. Now your data is up-to-date so you can just rerun jupyter notebook in folder analysis

Analysis

As of 09.01.2024 there are 198 Python vacancies on djinni, after analysing each of them I was able to build a histogram of top 20 popular technologies that were mentioned in those vacancies(either tagged or mentioned in text).

output.png

As you can see the most popular technologies were HTTP, Python, SQL, Docker and Git. And it is not surprising, because Python nowadays mostly used either for web-dev or for data science purposes and knowing technologies such as HTTP, SQL and Docker is crucial for those fields.

Also we can see some not Python related technologies in the list, such as: JavaScript, ReactJS and HTML. Those technologies are also important to know for productive web-development.

Next chart was build to prove that you should have a high level of English to have a bigger chance of securing a job.

output1.png

As you can see, almost 60% of job vacancies ask for Upper-Intermediate level of english, and other 20% for Intermediate. It's also interesting to see that Advanced/Fluent level of english is not really needed today, because only 4.5% of vacancies stated it as a requirement.

Next chart shows the percentages of vacancies for a specific years of experience needed to get the job.

output2.png

This chart shows that nowadays there are more vacancies for experienced developers, than for juniors or trainees. In my opinion this is strongly connected to the ongoing War in Ukraine. A lot of the companies do not want to expend their teams or start new projects because of it, so there are less junior developers needed.