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  1. Job Roles
  2. >
  3. Python Developer

Python Developer

What does a professional in this career do?

A Python Developer is responsible for coding, designing, deploying, and debugging development projects, typically on the server-side (or back-end). They may, however, also help organizations with their technological framework. They supervise the information flow between the servers and the users. Python developers use the Python programming language to implement projects or answer questions.

In this job you will...

  • Design, operate, and improve scalable data systems
  • Writing effective and scalable Python codes
  • Designing and implementing robust applications
  • Debugging applications to ensure low-latency and high-availability
  • Integrating user-facing elements with server-side logic
  • Implementing security and data protection
  • Accommodating various data storage solutions
  • Develop back-end components to improve responsiveness and overall performance.
  • Writing efficient, scalable, and clean code with test cases.
  • Analysing and testing new/existing applications to add new features and fix bugs.
  • Implement security and data protection solutions
  • Assess and prioritize feature requests
  • Coordinate with internal teams to understand user requirements and provide technical solutions.
  • Designing, Developing, and maintaining product features in both the web and desktop applications
  • Develop cloud features and contribute to developing a framework for future products to be built upon
  • Designing and implementing the backend APIs and business logic necessary to support new and existing features
  • Writing unit tests and working with test automation engineers to produce fully tested solutions

Skills You Will Gain

backend APIs
Debugging
Deploying
Python
Server-side

Representative Journeys

Become a Data Scientist
Become a Data ScientistPraba Santhanakrishnan, Pramod Gupta, Matt Harrison | Data Science | 30 hrs and 30 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
introduction-to-data-analysis-using-r
Introduction to Data Analysis using R
Pramod GuptaSkills: Data AnalysisRR Studio
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas

Journey Completed

Foundations of Python and Data Science
Foundations of Python and Data ScienceMatt Harrison, Woody Lewenstein, Theodore Petrou | Data Science | 32 hrs and 40 mins

Launch Journey

python-foundations-tools-and-techniques
Python Foundations, Tools and Techniques
Matt HarrisonSkills: EditorsREPL
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas
practical-statistics-for-business-and-data-science
Practical Statistics For Business and Data Science
Woody LewensteinSkills: Data ScienceData VisualizationProbabilityStatistics
master-data-analysis-python
Master Data Analysis with Python
Theodore PetrouSkills: Data AnalysisData SciencePandasPandas DataFramePython

Journey Completed

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Alternative job titles

  • Web developer
  • Data analyst
  • Software engineer
  • Unix/ Shell Script/Python – Developer
  • Python Fullstack Developer
  • Javascript , Python developer
  • Junior Python Developer
  • Entry-Level Python Developer
  • Senior Python developer

SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Introduction to Python for Data Science

Introduction to Python for Data Science

Introduction to Data Analysis using R

Introduction to Data Analysis using R

Practical Statistics For Business and Data Science

Practical Statistics For Business and Data Science

Python Foundations, Tools and Techniques

Python Foundations, Tools and Techniques

Getting Started with Pandas

Getting Started with Pandas

Getting Started with Pandas

Getting Started with Pandas

Master Data Analysis with Python

Master Data Analysis with Python