Require a Python Developer
Budget: ₹400 – ₹750 INR
1. Proficient in Python, with expertise in:
- Object-Oriented Programming (OOP)
- Multithreading and Multiprocessing
- Argparse for command-line argument parsing
- Logging for effective log management
- Utilizing zip, subprocess, pathlib, os for file and system operations
- Exception Handling for robust error management
- Working with project.toml for project configuration
- Utilizing requests library for HTTP operations
2. Skilled in file manipulation, capable of reading and restructuring files to meet specific requirements.
3. Strong knowledge of Pandas for efficient restructuring of CSV files into Pandas Data Frames.
4. Proficient in using Boto3 library for seamless interaction with Amazon S3, including various S3 operations.
5. Experienced in creating Python packages, generating wheel files, and proficient in publishing them to the Python Package Index (PyPI).
6. Familiar with Google Collab, including the deployment of Collab notebooks directly from GitHub repositories.
7. Skilled in creating shell scripts for automation, enhancing efficiency in various tasks.
8. Capable of developing and implementing unit tests to ensure code reliability and maintainability.
9. Adept at debugging code effectively to identify and resolve issues efficiently.
- Object-Oriented Programming (OOP)
- Multithreading and Multiprocessing
- Argparse for command-line argument parsing
- Logging for effective log management
- Utilizing zip, subprocess, pathlib, os for file and system operations
- Exception Handling for robust error management
- Working with project.toml for project configuration
- Utilizing requests library for HTTP operations
2. Skilled in file manipulation, capable of reading and restructuring files to meet specific requirements.
3. Strong knowledge of Pandas for efficient restructuring of CSV files into Pandas Data Frames.
4. Proficient in using Boto3 library for seamless interaction with Amazon S3, including various S3 operations.
5. Experienced in creating Python packages, generating wheel files, and proficient in publishing them to the Python Package Index (PyPI).
6. Familiar with Google Collab, including the deployment of Collab notebooks directly from GitHub repositories.
7. Skilled in creating shell scripts for automation, enhancing efficiency in various tasks.
8. Capable of developing and implementing unit tests to ensure code reliability and maintainability.
9. Adept at debugging code effectively to identify and resolve issues efficiently.
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