Jupyter developer

A Jupyter developer designs and maintains Jupyter projects, including Jupyter Notebook, JupyterLab, and JupyterHub. They write code, often in Python, to develop applications that allow users to create and share documents containing live code, equations, visualizations, and narrative text. They troubleshoot issues, enhance functionality, and ensure seamless integration with other data science tools. They may also develop interactive widgets for the Jupyter ecosystem. They work closely with data scientists to understand their needs and tailor solutions accordingly. They're also responsible for taking care of software testing, debugging, and updating documentation.

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Jupyter developer

Hiring a Jupyter developer grants you expertise in one of the most powerful tools for data visualization and analysis. They can effectively work with Jupyter Notebook, an open-source web application that allows the creation and sharing of documents containing live code, equations, and visualizations. This makes it easier to comprehend and present complex data. Moreover, they are familiar with various programming languages such as Python, Julia, and R, making them versatile. Their skills can streamline your data analysis process, enhance your data-driven decision-making, and ultimately boost your business growth.

Animeshkumar Nayak

IT/Programming

Jupyter,

Docker,

OpenCV,

Python,

Tensorflow,

Azure,

pandas,

PyTorch,

Keras

Andrey Plotkin

IT/Programming

Jupyter,

Agile,

AWS,

C#,

C++,

DevOps,

Elasticsearch,

flask,

Git,

Java,

Jenkins,

Microservices,

MongoDB,

MySQL,

PostgreSQL,

Python,

REST,

Tensorflow,

unix,

Azure,

Design Patterns,

ELK,

Graphite,

Jupyter Notebook,

Poco,

TFS,

Trello,

Visual Studio,

OOP

Natasha Khazeeva

IT/Programming

Jupyter,

Figma,

google analytics,

Jira,

Python,

SQL,

UI Design,

Unity,

UX Design,

App Usability Analysis,

Confluence,

Firebase database,

Jupyter Notebook,

PowerBuilder,

Slack,

Trello,

Yandex Metrica,

A/B Testing,

User research,

Product strategy development,

Website testing

George Varennikov

IT/Programming

Jupyter,

Data Visualization,

Git,

GitHub,

Linux,

Machine Learning,

Python,

SQL,

Tensorflow,

Data Scientists,

GitLab,

Jupyter Notebook,

Machine Learning Engineer,

Matplotlib,

NLP,

pandas,

PyCharm,

Python Numpy

Sergei Eremenko

IT/Programming

Jupyter,

AWS,

Machine Learning,

Oracle,

Python,

SQL,

Tableau,

Azure,

Jupyter Notebook,

Machine Learning Engineer,

MATLAB,

MLlib,

PowerBuilder,

Splunk,

SQL Server,

Artificial Intelligence,

Machine Learning Algorithms

Anton Klimakov

IT/Programming

Jupyter,

Elasticsearch,

HTML,

Java,

Jira,

Kotlin,

PostgreSQL,

rest api,

Spring,

Vue.js,

ETL,

Jupyter Notebook,

System Analysis,

Team Lead,

UML,

Application Architecture Design,

Software requirements management

Animeshkumar Nayak

IT/Programming

Jupyter,

Docker,

OpenCV,

Python,

Tensorflow,

Azure,

pandas,

PyTorch,

Keras

Andrey Plotkin

IT/Programming

Jupyter,

Agile,

AWS,

C#,

C++,

DevOps,

Elasticsearch,

flask,

Git,

Java,

Jenkins,

Microservices,

MongoDB,

MySQL,

PostgreSQL,

Python,

REST,

Tensorflow,

unix,

Azure,

Design Patterns,

ELK,

Graphite,

Jupyter Notebook,

Poco,

TFS,

Trello,

Visual Studio,

OOP

Natasha Khazeeva

IT/Programming

Jupyter,

Figma,

google analytics,

Jira,

Python,

SQL,

UI Design,

Unity,

UX Design,

App Usability Analysis,

Confluence,

Firebase database,

Jupyter Notebook,

PowerBuilder,

Slack,

Trello,

Yandex Metrica,

A/B Testing,

User research,

Product strategy development,

Website testing

George Varennikov

IT/Programming

Jupyter,

Data Visualization,

Git,

GitHub,

Linux,

Machine Learning,

Python,

SQL,

Tensorflow,

Data Scientists,

GitLab,

Jupyter Notebook,

Machine Learning Engineer,

Matplotlib,

NLP,

pandas,

PyCharm,

Python Numpy

Sergei Eremenko

IT/Programming

Jupyter,

AWS,

Machine Learning,

Oracle,

Python,

SQL,

Tableau,

Azure,

Jupyter Notebook,

Machine Learning Engineer,

MATLAB,

MLlib,

PowerBuilder,

Splunk,

SQL Server,

Artificial Intelligence,

Machine Learning Algorithms

Anton Klimakov

IT/Programming

Jupyter,

Elasticsearch,

HTML,

Java,

Jira,

Kotlin,

PostgreSQL,

rest api,

Spring,

Vue.js,

ETL,

Jupyter Notebook,

System Analysis,

Team Lead,

UML,

Application Architecture Design,

Software requirements management

Animeshkumar Nayak

IT/Programming

Jupyter,

Docker,

OpenCV,

Python,

Tensorflow,

Azure,

pandas,

PyTorch,

Keras

Andrey Plotkin

IT/Programming

Jupyter,

Agile,

AWS,

C#,

C++,

DevOps,

Elasticsearch,

flask,

Git,

Java,

Jenkins,

Microservices,

MongoDB,

MySQL,

PostgreSQL,

Python,

REST,

Tensorflow,

unix,

Azure,

Design Patterns,

ELK,

Graphite,

Jupyter Notebook,

Poco,

TFS,

Trello,

Visual Studio,

OOP

Natasha Khazeeva

IT/Programming

Jupyter,

Figma,

google analytics,

Jira,

Python,

SQL,

UI Design,

Unity,

UX Design,

App Usability Analysis,

Confluence,

Firebase database,

Jupyter Notebook,

PowerBuilder,

Slack,

Trello,

Yandex Metrica,

A/B Testing,

User research,

Product strategy development,

Website testing

George Varennikov

IT/Programming

Jupyter,

Data Visualization,

Git,

GitHub,

Linux,

Machine Learning,

Python,

SQL,

Tensorflow,

Data Scientists,

GitLab,

Jupyter Notebook,

Machine Learning Engineer,

Matplotlib,

NLP,

pandas,

PyCharm,

Python Numpy

Sergei Eremenko

IT/Programming

Jupyter,

AWS,

Machine Learning,

Oracle,

Python,

SQL,

Tableau,

Azure,

Jupyter Notebook,

Machine Learning Engineer,

MATLAB,

MLlib,

PowerBuilder,

Splunk,

SQL Server,

Artificial Intelligence,

Machine Learning Algorithms

Hiring a Jupyter developer offers a multitude of advantages. Firstly, Jupyter developers are proficient in Jupyter Notebook, an open-source web application that allows creation and sharing of documents. This tool combines code, rich text, equations, visualizations and other elements in a single document, making it easier to understand and interpret data.

Secondly, a Jupyter developer can help improve your data visualization. The application supports many types of visualizations, enabling developers to present data in a more comprehensive and interactive manner. This can significantly aid in data analysis and decision-making processes.

Thirdly, Jupyter developers facilitate reproducible research and collaborative work. The ability to share notebooks means that others can easily reproduce and build upon the work, increasing efficiency and collaboration.

Moreover, Jupyter developers can work with several programming languages, including Python, R, Julia, and more. This multi-language support makes them versatile and able to handle varied tasks.

Finally, Jupyter developers can help automate routine tasks, saving time and resources. With their skills, they can streamline your data processing, analysis, and reporting tasks, leading to improved productivity and performance.

In conclusion, hiring a Jupyter developer can enhance your data management, analysis, visualization, and collaborative efforts, making them a valuable addition to your team.

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