May 30, 2024

7 Jobs You Can Get Knowing Python

For fledgling developers, Python is often one of the first programming languages they learn. Here are 7 jobs you could land by learning this versatile and easy-to-learn language.

Learning Python can unlock numerous career opportunities in the tech industry. If you're curious about the job prospects available to Python enthusiasts, you'll find the list quite diverse.

Python stands out as one of the most sought-after languages for aspiring software developers. Its versatility and simplicity in building various applications make it an invaluable asset in any developer's toolkit.

For those embarking on a software development career, Python often serves as an excellent introductory language. Its design prioritizes plain English, fostering ease of comprehension, and it boasts an active community for support. Moreover, with an abundance of free resources, tutorials, and accelerated learning programs available, mastering Python is both accessible and practical.

Now, let's explore the top seven jobs you can pursue with Python expertise:

Python Developer

Python developers handle the coding, design, deployment, and debugging of various development projects, primarily focusing on the server side (or back end).

Their expertise lies in Python and its associated frameworks like Flask or Django for web development, TensorFlow and NLTK for machine learning, and Pandas, NumPy, and SciPy for data science.

How do they use Python?

Python Developers utilize the language's versatility for a range of tasks, from constructing websites and applications to executing deep learning algorithms and analyzing data. They leverage Python to process data, create back ends for web applications, and automate scripts.

What's the average salary?

As of February 2023, the national average stands at $130,052 per year.

Full Stack Developer

Full Stack Developers harness their expertise in both front end and back end programming languages to craft, create, and uphold comprehensive platforms complete with databases and servers.

How do they use Python?

In the realm of Full Stack Development, Python serves predominantly as a back end language for overseeing servers and databases. Leveraging frameworks like Flask or Django alongside Python, Full Stack Developers streamline the process of building fully operational applications by seamlessly integrating front end and back end development.

What's the average salary?

As of February 2023, the national average stands at $104,564 per year.

Data Scientist / Data Analyst

Data Scientists and Data Analysts are adept at managing vast quantities of structured and unstructured data, employing a blend of computer science, statistics, and mathematics. They sift through, analyze, and model data, ultimately interpreting findings to craft actionable, data-centric strategies for businesses and other entities.

How do they use Python?

Python, alongside its frameworks, serves as the primary tool for Data Scientists and Data Analysts. They harness Python to construct predictive models, implement machine learning techniques to enhance data accuracy, and identify patterns and trends for insightful revelations. Additionally, they utilize Python to develop algorithms and data models aimed at forecasting outcomes.

What's the average salary?

As of February 2023, the national average salary stands at $123,821 per year.

Data Engineer

A Data Engineer is an integral part of the IT landscape, primarily tasked with preparing data for analytical or operational purposes. These professionals specialize in constructing data pipelines to amalgamate information from diverse source systems.

How do they use Python?

Python serves as a cornerstone for Data Engineers in crafting Data Pipelines, configuring Statistical Models, and conducting comprehensive analyses.

Key Python packages commonly employed in Data Engineering encompass:

  • Pandas: For data aggregation and cleaning
  • NumPy: For data analysis
  • (Py) Spark: Facilitating big data handling and utilizing Spark ML for machine learning
  • TensorFlow: Supporting AI training and deep neural network inference
  • Natural Language Toolkit (NLTK): Rendering natural human language usable by computer programs

What's the average salary?

As of February 2023, the national average salary for Data Engineers stands at $122,672 per year.

Machine Learning Engineer

Machine Learning Engineers specialize in constructing AI systems that harness extensive datasets to automate predictive models and verify their functionality as per specifications.

Their projects span various applications, including recommended searches, virtual assistants, translation apps, chatbots, and autonomous vehicles.

How do they use Python?

Python serves as the backbone for Machine Learning Engineers, who leverage libraries like TensorFlow and PySpark to design predictive models.

What's the average salary?

As of February 2023, the national average salary for Machine Learning Engineers is $142,306 per year.

Product Manager

Product Managers are tasked with recognizing customer needs and upholding the business goals that a product or feature should satisfy.

How do they use Python?

Python is instrumental in the tasks of Product Managers, particularly in research for new features and products. They utilize Python to advocate for the development and integration of specific features or products into an existing product.

Moreover, automating reports and analyses reduces reliance on the Data Science team, enabling Product Managers to refine processes and harness data-driven insights to address challenges.

What's the average salary?

As of February 2023, the national average salary for Product Managers is $99,120 per year.

Performance Marketer

Performance Marketers oversee digital accounts like Google Ads and Facebook Ads to optimize channel mixes and achieve key performance indicators for marketing objectives.

How do they use Python?

Python is employed by Performance Marketers for automating data reporting and analysis. This enables them to access up-to-date insights on trends and market dynamics, aiding in informed decision-making for account management.

What's the average salary?

As of February 2023, the national average salary for Performance Marketers is $77,353 per year.

Get Started Learning Python

Interested in one of these career paths, but lacking the Python skill to land a job? Dip your toes into the world of tech with Bletchley Institute's Intro to Python course.

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