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Python Programming

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation

What is Python Programming?

Pythin

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming.

Careers Using Python

Python Developer

Python developers are responsible for the coding, designing, deploying, and debugging of development projects, typically on the server side (or back end). They specialize in Python and its frameworks such as Flask or Django for web development, TensorFlow and NLTK, PySpark for machine learning, and Pandas, NumPy, and SciPy for data science. The national average is $130,052 per year (as of Feb 2023).

Full Stack Developer

Full Stack Developers use their knowledge of both front end and back end programming languages to design, develop, and maintain full-fledged and functioning platforms with databases and servers. The national average is $104,564 per year (as of Feb 2023).

Data Scientist / Data Analyst

Data Scientists and Data Analysts are big data wranglers, gathering and analyzing large sets of structured and unstructured data. These roles combine computer science, statistics, and mathematics. They analyze, process, and model data and then interpret the results to create actionable, data-driven plans for companies and other organizations. The national average is $123,821 per year (as of Feb 2023).

Data Engineer

A Data Engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These engineers are typically responsible for building data pipelines to bring together information from different source systems. The national average is $122,672 per year (as of Feb 2023).

Python packages used in Data Engineering often include:

  • Pandas – used in data aggregation and data cleaning
  • NumPy – used in data analysis 
  • (Py) Spark – used to handle big data and leverages Spark ML for machine learning 
  • TensorFlow – used in AI training and inference of deep neural networks
  • Natural Language Toolkit (NLTK) – used to make natural human language usable by computer programs

Machine Learning Engineer

Machine Learning Engineers build AI systems that use large sets of data to automate predictive models and ensure they work according to requirements. Projects that Machine Learning Engineers work on include recommended searches, virtual assistants, translation apps, chatbots, and self-driving cars. The national average is $142,306 per year (as of Feb 2023).

Product Manager

Product Managers are responsible for identifying customer needs and maintaining the business objectives that a product or feature should fulfill. The national average is $99,120 per year (as of Feb 2023).

Performance Marketer

Performance Marketers are responsible for managing digital accounts such as Google Ads and Facebook Ads to get the right channel mixes and drive key performance indicators for marketing. The national average is $77,353 per year (as of Feb 2023).

Source: fllatironschool.com/