What kind of jobs can I get if I am fluent in Python?

Updated on : December 8, 2021 by Ayaan Potter



What kind of jobs can I get if I am fluent in Python?

I read an article a few years ago (The Python Paradox) that Python programmers are "better" than ordinary programmers because Python people show that they are willing to learn new things, because they care about learning them. .

Although I don't know if that impression is still the case, it means that common languages, eg Java and C #, will be saturated with "common" programmers. These types of languages ​​are frequently taught in schools because they are the most requested by companies. If you can differentiate with Python, you can probably find a better one

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I read an article a few years ago (The Python Paradox) that Python programmers are "better" than ordinary programmers because Python people show that they are willing to learn new things, because they care about learning them. .

Although I don't know if that impression is still the case, it means that common languages, eg Java and C #, will be saturated with "common" programmers. These types of languages ​​are frequently taught in schools because they are the most requested by companies. If you can differentiate yourself with Python, you can probably find a better job than the more common languages.

That said, Python is most commonly used in large data centers, as well as a "binding" language among other languages. Google, NASA, ILM, id Software, etc., use Python due to its capabilities and expandability. Game developers frequently use Python as the glue between C / C ++ modules, or you can use it with PyGame to make a complete game. It is also popular with scientists and statisticians with SciPy and Pandas.

For more examples, take a look at the Python.org site (https://www.python.org/about/apps/) to see in which areas Python is used.

Right now, the big, high-paying jobs given to really smart kids are anything but big data. Python is widely used for data mining, analytics, and really any kind of big data tasks that require a high-level language like Python. Outside of big data and data mining, Python is used literally for everything. I am a Django / Python developer; Django is a web framework written in Python, slightly similar to Ruby on Rails. Python is used both as a programming language and for object-oriented applications. Some of the areas where I see Python being used a lot are financial institutions and brokerage f

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Right now, the big, high-paying jobs given to really smart kids are anything but big data. Python is widely used for data mining, analytics, and really any kind of big data tasks that require a high-level language like Python. Outside of big data and data mining, Python is used literally for everything. I am a Django / Python developer; Django is a web framework written in Python, slightly similar to Ruby on Rails. Python is used both as a programming language and for object-oriented applications. Some of the areas where I see Python being used a lot are financial institutions and brokerage firms to analyze large amounts of data on ETFs and other financial resources, web development as mentioned above and any kind of programming task that requires a high-level language like Python. Right now, there are more jobs in Python related to software development than web development. Django is not as popular as ROR, but Python is more popular than Ruby. Hope this has helped.

Don't worry about the fact that you are learning it by yourself. Most companies are much more concerned with their ability to use language to create applications and develop solutions to problems.

The first thing to do is decide which area you want to enter. A Python web programmer will probably not be very suitable for developing desktop applications. Of course, it is possible to go to more than one field, but to get a job, focus on just one for now. When you feel lost, explore employment websites to find out what types of Python knowledge companies are looking for, then use it as a guide to direct

Keep reading

Don't worry about the fact that you are learning it by yourself. Most companies are much more concerned with their ability to use language to create applications and develop solutions to problems.

The first thing to do is decide which area you want to enter. A Python web programmer will probably not be very suitable for developing desktop applications. Of course, it is possible to go to more than one field, but to get a job, focus on just one for now. When you're feeling lost, browse employment websites to find out what types of Python knowledge companies are looking for, then use it as a guide to direct your learning.

Getting a programming job is about showing that you have the skills to do that job. It doesn't matter if you have a degree or are simply self-taught. A great portfolio speaks for itself.

Simply knowing Python is not enough to impress someone. It's enough to qualify for a programming job, but then you have to compete with everyone else who has taught themselves how to program on some website, and especially everyone who has actually graduated in computer science.

The best option is to learn Python and then use it. Do some projects, do something, something you can confidently say "I did this." This is what makes you stand out.

I can't pick a project for you, but you can browse a list and pick some of your favorites if you'd like. I recently got mad

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Simply knowing Python is not enough to impress someone. It's enough to qualify for a programming job, but then you have to compete with everyone else who has taught themselves how to program on some website, and especially everyone who has actually graduated in computer science.

The best option is to learn Python and then use it. Do some projects, do something, something you can confidently say "I did this." This is what makes you stand out.

I can't pick a project for you, but you can browse a list and pick some of your favorites if you'd like. I recently created a chatbot for a website that I frequented, that was fun.

It's like asking, Will a Hammer get me a job? Or when it comes to Python, will a Swiss knife get me a job?

Languages ​​are just tools. That is not skill. Skill or art is something you are good at. Like carving or shaping rock (for hammer users).

Python might find you a job if:

  1. You are a web developer who can use the frameworks that Python offers to create amazing smart web applications.
  2. You are a test specialist who knows the art of writing unit tests and integrating with continuous integration tools.
  3. Create solutions for image or photo processing (or other complex tasks) using OpenCV
Keep reading

It's like asking, Will a Hammer get me a job? Or when it comes to Python, will a Swiss knife get me a job?

Languages ​​are just tools. That is not skill. Skill or art is something you are good at. Like carving or shaping rock (for hammer users).

Python might find you a job if:

  1. You are a web developer who can use the frameworks that Python offers to create amazing smart web applications.
  2. You are a test specialist who knows the art of writing unit tests and integrating with continuous integration tools.
  3. Create solutions for image or photo processing (or other complex tasks) using OpenCV, math, numpy, scipy, or other modules.
  4. You can create beautiful user-friendly software using UI modules like wxPython, PySide, or Tkinter, etc.

The bottom line: all of the above can be done with any language. You need to know what you want to do and what tools you need.

The key is to "create" something with the languages ​​you know, it is not just about learning. As a beginner, you can start to build small projects that you can use in daily life or something similar.

As a beginner in Python I have done the following projects:

  • An email scheduling script
  • Cool shapes / animations using Python
  • A script to get the current weather and mail it to a given email address
  • A Youtube downloader that will download the quality that the user wants or the best quality available
  • A script to get data from websites like
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The key is to "create" something with the languages ​​you know, it is not just about learning. As a beginner, you can start to build small projects that you can use in daily life or something similar.

As a beginner in Python I have done the following projects:

  • An email scheduling script
  • Cool shapes / animations using Python
  • A script to get the current weather and mail it to a given email address
  • A Youtube downloader that will download the quality that the user wants or the best quality available
  • A script to get data from websites like yellow pages / justdial etc. and convert them into an Excel spreadsheet.

I know these are small projects, but I am happy that I did them by myself and learned a lot along the way.

Keep learning and keep building, take your creativity to a new level

It is not in the dream, it is in the doing

If you have any questions, do not hesitate to ask me

Knowledge of Python alone is most likely not enough, but Python is being used more and more in academic industry due to its useful data analysis and statistical libraries. I know that several companies also use it for financial modeling, also for the same reason.

In addition to data analysis, knowledge of Python and the Django framework will definitely help you land a job in web development.

Python alone will not allow you to easily land a job. You must decide your transmission. Or you can dedicate yourself to web development or data analysis.

For web development, you need to learn the django framework together with MangoDB (optional).

For data analysis, you should familiarize yourself with different libraries specially developed for data analysis.

That is easy. Data analysis jobs, such as algorithmic trading or genetic computing, mainly use Python as a programming language because the development time is significantly less and there are reliable Python packages that support this type of data such as numpy and pandas.

After learning the basics of Python, you can try exploring many fields. You can use Python skills for small, large, online, and local projects. However, the best options for using Python are web development, test automation, and data analysis. I've cited some examples of what Python will allow you to do:

Web developer:

You can extend Python to develop web applications with different levels of complexity. There is a no. of the available Python web frameworks such as Pyramid, Django, and Flask to support.

Data analysis:

Python is the primary language of choice for working on data science projects. Has won immense

Keep reading

After learning the basics of Python, you can try exploring many fields. You can use Python skills for small, large, online, and local projects. However, the best options for using Python are web development, test automation, and data analysis. I've cited some examples of what Python will allow you to do:

Web developer:

You can extend Python to develop web applications with different levels of complexity. There is a no. of the available Python web frameworks such as Pyramid, Django, and Flask to support.

Data analysis:

Python is the primary language of choice for working on data science projects. It has gained immense popularity in this field due to its unmatched library support (eg NumPy and Pandas). And packages like Matplotlib and Seaborn provide the best data visualization.

Machine learning:

Predictive analytics is another area in which you can exercise Python. Libraries like Scikit-Learn, NLTK, and TensorFlow provide out-of-the-box support for many of the machine learning algorithms.

Computer vision:

You can even explore the authentication mechanism such as face detection, color detection with the help of OpenCV and Python.

IoT with Raspberry Pi:

The Raspberry Pi is a low-cost, card-sized board. You can use Python to interact with hardware like sensors controlled through this board.

Game programming:

  • Create video games using the Python module "Pygame".
  • You can write game logic in Python with this module.
  • PyGame applications can run on mobile devices such as Android.

Web scraping:

If you need to fetch data from a website, but the site doesn't have an API to extract data, use Python to extract data.

System automation:

If you are doing something manually and want to automate monotonous things, like emails, it is not a challenge to automate once you know the basics of this language.

Browser automation:

Do cool things, like start a browser and book a flight. You can use Selenium Python bindings to achieve this.

GUI programming:

Create a GUI application (desktop based application) using Python modules Tkinter, PyQt to support it.

Quick programming:

Python accommodates libraries for almost everything. You can use it to instantly build a working prototype. Python is also convenient for validating ideas or products for established and new companies.

Step 1: Find out what skills companies are looking for.

Reverse engineering!

First, find out what skills companies expect you to have.

The best way to find out is by visiting popular job posting sites.

Here is such a list that I got from searching for the keyword "Python":

As you can see, Python alone is not the required skill set.

Companies expect you to learn about other technologies too.

For example, the list above also assumes that you know Pandas, SQLalchemy, and Django.

My recommendation is that you also look at other job listings and write down all the essential skills that

Keep reading

Step 1: Find out what skills companies are looking for.

Reverse engineering!

First, find out what skills companies expect you to have.

The best way to find out is by visiting popular job posting sites.

Here is such a list that I got from searching for the keyword "Python":

As you can see, Python alone is not the required skill set.

Companies expect you to learn about other technologies too.

For example, the list above also assumes that you know Pandas, SQLalchemy, and Django.

My recommendation is that you also look at other job openings and write down all the essential skills required by the company.

Don't worry if you don't have or are not an expert in those skills, your job for this step is simply to get an idea of ​​what companies expect from a candidate.

If you open a list, more details about the skills and role type will be provided.

Step 2: Rank the skills.

Once you list the job listing site skills, it's time to rank them based on your level of experience with them.

Make 3 columns on a sheet of paper and classify them into these 4 categories:

  1. Completely Unknown - This column would consist of all the skills that you have never learned. For example, if you never learned Pandas, put it under this column. All the skills in this column should be learned from scratch. You can start learning them through YouTube videos or maybe a course.
  2. Little to know: this would consist of those skills that you know the basics of but have never delved deeper. Your job is to make sure you learn more advanced concepts of these technologies. To learn more advanced topics, I recommend that you prefer to learn from the documentation, as there will not be many YouTube videos or courses on such advanced topics.
  3. Skillful - should consist of skills that you are good enough with and have decent work experience with. Once you are sufficiently trained in any technology, the best way to test it would be to build a project using it. For example, if you are skilled enough with Django, just try building a complex web application with it. You can start with a basic version of the web application, but eventually start adding more advanced and complex features.

Once you complete this step, you should become aware of the skills you are missing and the skills you possess.

Now let's move on to the next step.

Step 3: learning.

Once you know what to learn, you can start learning it.

However, the learning method would completely depend on your level with the skill.

Learning as a beginner:

If you are a complete beginner and want to learn from scratch, I highly recommend that you read this article which lists some useful resources to start learning Python.

As a beginner, YouTube videos and Udemy courses are your best option to get started quickly with any technology.

Learning as an intermediate:

You should strictly skip YouTube and other courses and instead learn from the documentation as it is a much more efficient way to learn.

Skip the basics and move on to more advanced topics in any given technology and be sure to learn it thoroughly.

You can check out some articles on the website if you get stuck, however follow the docs as much as possible.

Learning as an expert:

If you are an expert at something, you just have to prove it.

And what can be the best way to show your skills in addition to building your own project.

Make sure you build a complex project around simple things. You can choose the simplest theme, such as an Todo app, and design advanced features around it.

If you have a complex project idea in mind, go ahead and keep going.

Step 4: set goals and a timeline.

Don't just learn without setting a goal or objective, if you do, you will be stuck learning a simple technology for months and you will be nowhere.

Instead, set a goal / objective to learn technology X at Y time.

This will ensure that you will not waste time and will be productive during the learning period.

If you are a graduate and not working elsewhere, you have plenty of time available, so be sure to make the most of it.

If you are a college student, get up an hour early to learn.

If you are a working professional, it would be quite difficult to manage a job and learn aside, but if you are stingy with your time and energy, you should be able to squeeze in some learning, especially on the weekends.

Step 5: Apply for jobs.

Once you are sure you have enough skills, you can start applying for positions on the job posting site.

Be careful though, not all jobs on these sites are good. Many of them are just plain rubbish and they would expect you to know almost everything and would pay you peanuts, so be sure to steer clear of such listings.

Do a little research on the company, if possible, try to connect with a few existing employees and try to assess their experience.

If you are a beginner, I advise you to focus on the company rather than the position.

Once you have shortlisted the good listings, start applying them and be patient.

Remember that you are bombarded by CVs from many other candidates and therefore it may take a while to get a response from them.

Make sure you keep learning and improving your skills while still submitting proposals to companies.

Python is just a language like C / C ++ / Java. So the technologies that revolve around Python are very broad.

But I suppose you are interested in Python, since you have heard that this thing is in high demand, which is not the truth actually. Read my other answers for the real trends:

Python vs JavaScript from a work perspective

Now let's say you are still interested in Python, what is the best way to do it.

  1. Full stack development - You need to learn Angular / React on the front end and Flask / Django on the back end. Flask is very easy to use if you are a complete beginner in web and back-end applications. AND
Keep reading

Python is just a language like C / C ++ / Java. So the technologies that revolve around Python are very broad.

But I suppose you are interested in Python, since you have heard that this thing is in high demand, which is not the truth actually. Read my other answers for the real trends:

Python vs JavaScript from a work perspective

Now let's say you are still interested in Python, what is the best way to do it.

  1. Full stack development - You need to learn Angular / React on the front end and Flask / Django on the back end. Flask is very easy to use if you are a complete beginner in web and back-end applications. You will need at least 6 to 9 months to master it. Remember that you cannot get work only in Flask / Django. You will need some interface skills. But the opposite is not true. If you only know Angular / React, you can easily get a job without any server-side technology (Python / .NET / Java)
  2. Python Scripting - There are some jobs available where you only need basic Python scripting skills, but those jobs are limited. A practice of 3 to 4 months is enough to break interviews. But again these jobs are very limited.
  3. DevOps / Cloud: While the knowledge of devops / cloud will be your core skills, Python programming will be a huge asset here and is in high demand.

4. Machine Learning: Actually, this field is driving a maximum number. of the need to learn Python. But this is not for newbies. And this requires many other things besides Python.

5. Automation Testing - There is now a high demand for test engineers who can write Python test scripts with Selenium. Before it was all Java.

So the time period will vary and it also depends on whether it is cooler or not.

My website: YouDev.com

In my current workplace, where I work as a cooperative student, I worked on a project that involved me to perform an exact and fuzzy match between data sets in two different database tables.

I mean gigantic data sizes; comparing 25.6 million rows of data in one table with 58,000 rows in another table. On top of that, the data had to be pre-processed first to reach a certain quality level before proceeding with the comparison.

I wrote the code in Python where I extracted the data from the databases to my Python environment and started with the matching algorithm. The steps that led to

Keep reading

In my current workplace, where I work as a cooperative student, I worked on a project that involved me to perform an exact and fuzzy match between data sets in two different database tables.

I mean gigantic data sizes; comparing 25.6 million rows of data in one table with 58,000 rows in another table. On top of that, the data had to be pre-processed first to reach a certain quality level before proceeding with the comparison.

I wrote the code in Python where I extracted the data from the databases to my Python environment and started with the matching algorithm. The steps that led to the development of the code involved analyzing the data at a glance to familiarize myself with the structure of the table. I did this with SQL. Within SQL, I had to use joins to understand how the two datasets behaved when I linked them on a common attribute.

When the data comparison was done and the data populated into a new table, I got a primary key violation error. I immediately knew what the error was and rectified it.

My next project involved creating a dashboard in Power BI. I connected Power BI with Python and did what they asked me to do.

In any of the previous projects, I would have been stuck if I had not had information on how to work with SQL or Power BI. Python alone would not have saved me. Of course, you can find a job simply as a Python developer, but recruiters will always mark knowledge of other tools as a great asset; Sometimes this knowledge turns out to be a deciding factor between you and another candidate.

The thing about Python is that it is versatile and compatible with a large number of popular software tools out there. You can be sure that you will almost always work with some other tool alongside python due to how compatible Python has become due to its diverse and powerful libraries. You can learn how technologies work as you work with them, or you can go ahead and start learning about them now.

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