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Top 20 companies that use Python

Companies that use python include Oracle, Intel, Meta, and several other companies.

What companies use Python the most?

1. Oracle

Zippia score 4.6

How Oracle uses Python:

  • Used Python Pandas to analyze our build/test logs to show why we were failing and view the data in different ways.
  • Used python PIP to package, distribute and install the CLI Client kit with update support.
  • Developed scripts (Shell and Python) to deploy and install TAS and SDI on VMs which was done manually.

Most common skills for Oracle:

  • Java
  • Cloud
  • CRM
  • UI
  • ERP
  • HTML

2. Intel

Zippia score 4.7

How Intel uses Python:

  • Developed interactive visualization tools to examine parallelism opportunities in Python.
  • Developed the project with a team in Python.
  • Configured and maintained custom Fedora Linux servers running Virtual Machines in XEN - Wrote and Modified Automation scripts in Python

Most common skills for Intel:

  • Linux
  • Perl
  • Debugging
  • Windows
  • RTL
  • Python

3. Meta

Zippia score 4.8

How Meta uses Python:

  • Market analysis & forecasting tools built with Python & MySQL.

Most common skills for Meta:

  • Facebook
  • Visualization
  • POS
  • API
  • Twitter
  • Java

4. Guidehouse

Zippia score 3.7

5. Capital One

Zippia score 4.7

How Capital One uses Python:

  • Developed monitoring and notification tools using Python.
  • Developed Python programs and utilities for data processing, password encryption and other Data Engineering needs.
  • Implemented Python Scripts for generating detail configuration reports on distributed scale-up scale-out server Nodes for converged server systems.

Most common skills for Capital One:

  • Customer Service
  • Process Improvement
  • Credit Card
  • Customer Inquiries
  • Java
  • Inbound Calls

6. Apple

Zippia score 4.8

How Apple uses Python:

  • Created tools to test and post-process results into an HMTL format report in Python, Bash, Expect, and JavaScript.
  • Automated data analysis using Python and presents test results to associate research to develop solutions to extend battery life.
  • Used Numpy for Numerical analysis and several python libraries like SymPy, wxPython and matPlotLib.

Most common skills for Apple:

  • Apple
  • Customer Service
  • Mac
  • Product Knowledge
  • Technical Issues
  • Customer Satisfaction

7. Deloitte

Zippia score 4.7

How Deloitte uses Python:

  • Developed tools in Python to automate access control testing.

Most common skills for Deloitte:

  • Project Management
  • Java
  • Business Development
  • Process Improvement
  • Business Process
  • Financial Statements

8. GEICO

Zippia score 4.1

Most common skills for GEICO:

  • Customer Service
  • Inbound Calls
  • Arbitration
  • Customer Inquiries
  • Policy Coverage
  • Insurance Coverage

9. Ericsson

Zippia score 4.6

How Ericsson uses Python:

  • Developed Linux shell scripts and python scripts for Ericsson Smart Service Router (SSR).
  • Used multi-threads to upgrade a python tool that is used to restart all the nodes on 4g network.
  • Modified and developed automated scripts within Ericsson s automation framework using Perl and Python.

Most common skills for Ericsson:

  • RF
  • IP
  • Project Management
  • LTE
  • DNS
  • Java

10. Ford Motor

Zippia score 4.7

How Ford Motor uses Python:

  • Reduced software testing time by 75% by creating automated testing framework and tool using Python scripting language.

Most common skills for Ford Motor:

  • Assembly Line
  • Sigma
  • Lean Manufacturing
  • Customer Service
  • Process Improvement
  • ISO

11. Lumina Foundation

Zippia score 3.4

12. Highmark

Zippia score 4.5

Most common skills for Highmark:

  • Strong Analytical
  • Customer Service
  • Medicare
  • PL/SQL
  • Process Improvement
  • Test Cases

13. Amazon

Zippia score 4.7

How Amazon uses Python:

  • Tested the Amazon e-Commerce WEB application Created test plans for all assigned modules using Python.
  • Utilized Python and Open API to create an automated process for a two-way action plan betweenOps Managers and sites.
  • Interfaced with data miners to extract, transform and load data from a variety of sources using SQL and Python.

Most common skills for Amazon:

  • Customer Orders
  • Pallets
  • Inventory Control
  • Pallet Jack
  • RF Scanner
  • Problem Solve

14. Tesla

Zippia score 4.6

Most common skills for Tesla:

  • Vessel Maintenance
  • PPE
  • Renewable Energy
  • Troubleshoot
  • Hand Tools
  • Solar Power

15. Marriott International

Zippia score 4.6

Most common skills for Marriott International:

  • Marriott
  • Guest Satisfaction
  • Customer Service
  • Front Desk
  • Reservations
  • Inbound Calls

16. Google

Zippia score 4.8

How Google uses Python:

  • Google Pack/Update and Google Chrome Auto-Update Design/Develop Python XMLRPC remote automation test harness to solve company wide automation need.
  • Gained exposure to automation with python scripting while setting up a sandboxed Cisco lab space.
  • Develop python scripts to ingest and process data delivered from the finance team.

Most common skills for Google:

  • Google Adwords
  • YouTube
  • QA
  • HTML
  • API
  • ROI

17. NVIDIA

Zippia score 4.9

How NVIDIA uses Python:

  • Contributed to implementing internal tools for simulation flow automation in Python, Perl and Matlab.

Most common skills for NVIDIA:

  • Windows
  • Ruby
  • PowerPoint
  • Linux
  • Mobile Device Management
  • RF

18. Microsoft

Zippia score 4.8

How Microsoft uses Python:

  • Developed tools for setting up development environments, monitoring and run tests using Python, C#, Selenium.
  • Helped students create projects using Pencil Code and Python.
  • Created tools using Python and ModelBuilder to reverse-engineered tools with lost source code and refine the tools inadequacies.

Most common skills for Microsoft:

  • Windows
  • Azure
  • SharePoint
  • SQL Server
  • Cloud
  • SQL

19. JPMorgan Chase & Co.

Zippia score 4.8

How JPMorgan Chase & Co. uses Python:

  • Used python classes and decorating methods for creating the dependency graphs for the business logic and applications.
  • Code was historically back tested in python and then it was implemented in Java.
  • Use Python to provision ZFS system over Restful API.

Most common skills for JPMorgan Chase & Co.:

  • Customer Service
  • QA
  • Process Improvement
  • Customer Inquiries
  • Customer Accounts
  • SharePoint

20. CVS Health

Zippia score 4.6

How CVS Health uses Python:

  • Implement and Enhance the Existing Scripts which are developed in Shell, Perl, Ruby and Python.

Most common skills for CVS Health:

  • Customer Service
  • Patients
  • CVS
  • Inventory Management
  • HIPAA
  • Computer System

Other skills