Python Data Science & Error Handling
Budget: ₹400 – ₹750 INR
I'm seeking a Python expert with strong data science knowledge to assist with a project that encompasses a variety of tasks.
Key Requirements:
- Implementation of data science algorithms: A solid understanding of data science is crucial as I need to implement some complex algorithms for data analysis and visualization.
- Development of error handling and exception handling for features developed: This is pivotal for the integrity of the project. Ensuring data uploaded from different sources (like CSV files, Excel spreadsheets, and relational databases) is handled correctly is a must.
- Writing production-level code: I need the Python code to be written to a high standard, suitable for production. This includes making sure the code is efficient, well-structured, and easy to maintain.
Ideal Skills:
- Extensive experience in Python with a fair understanding of data science concepts. Understanding of data structures,
- Strong knowledge of error handling and exception handling for data processing.
- Proven track record in writing production-level code.
- Familiarity with handling data from various sources, such as CSV files, Excel spreadsheets, and relational databases.
This project offers a great opportunity for someone who enjoys working on complex data science problems. If you are an experienced Python developer with a passion for data, I'd love to hear from you.
Key Requirements:
- Implementation of data science algorithms: A solid understanding of data science is crucial as I need to implement some complex algorithms for data analysis and visualization.
- Development of error handling and exception handling for features developed: This is pivotal for the integrity of the project. Ensuring data uploaded from different sources (like CSV files, Excel spreadsheets, and relational databases) is handled correctly is a must.
- Writing production-level code: I need the Python code to be written to a high standard, suitable for production. This includes making sure the code is efficient, well-structured, and easy to maintain.
Ideal Skills:
- Extensive experience in Python with a fair understanding of data science concepts. Understanding of data structures,
- Strong knowledge of error handling and exception handling for data processing.
- Proven track record in writing production-level code.
- Familiarity with handling data from various sources, such as CSV files, Excel spreadsheets, and relational databases.
This project offers a great opportunity for someone who enjoys working on complex data science problems. If you are an experienced Python developer with a passion for data, I'd love to hear from you.