Python/Django developer

SRP SYSTEMS

Princeton, NJ, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Django Web Framework NumPy Flask (Web Framework) Pandas Scikit Learn

Requirements

Few years of hands-on experience with Python
Some experience with Django or Flask
Good understanding of Numpy and Pandas
Any experience with Scikit learn is a huge plus, but is not mandatory.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:56 min

Leveraging domain-specific frameworks and RAPIDS for data science

Paul Graham · World Congress 2025

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel · World Congress 2024

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham · LIVE

2:21 min

Rise of Python in real-time data processing

Bobur Umurzokov · LIVE

Videos

See all

Overview of Machine Learning in Python thumbnail

57:46

LIVE • over 2 years ago

Overview of Machine Learning in Python

Adrian Schmitt

How to make REST APIs in Django? thumbnail

56:06

LIVE • over 3 years ago

How to make REST APIs in Django?

Kuldeep Pisda

28:44

World Congress 2022 • about 4 years ago

Advanced Typing in TypeScript

Lars Hupel

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast. thumbnail

57:49

LIVE • over 3 years ago

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

22:18

World Congress 2024 • about 2 years ago

Accelerating Python on GPUs

Paul Graham

Python Data Visualization @ Deepnote (w/ PyViz overview) thumbnail

50:38

LIVE • over 5 years ago

Python Data Visualization @ Deepnote (w/ PyViz overview)

Radovan Kavický