7+ Yrs. Total Experience | Pidilite Industries | Ex-Reliance Jio
Hello everyone, this is Debmalya Pramanik. I've completed my graduation majoring in Electrical and Electronics Engineering. I'm currently working at Reliance Jio Infocomm Ltd as Data Analytics (Manager) since October 2016, and have experience in Python, Machine Learning, SQL, Tableau, Spark with Python (PySpark), Hive, and Deep Learning methodologies like Recurring Neural Networks (RNN). I've also completed my M. Tech (3 Years) in Power Electronics and Electrical Drives from the Indian Institute of Technology (IIT-ISM), Dhanbad.
Looking for Contributers/Collaborators to Work on an Open Source Python hobby Project. Project and Repositories is available under pOrgz-dev. Also, I am working in collaboration with VisualCrossing to create a python wrapper to easily fetch and manipulate weather data. If interested, feel free to send PRs! (Code available at ZenithClown/VisualCrossing)
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Keywords: data, science, analyst, data scientist, data analyst, machine learning, neural networks, deep learning, statistics, visualization, python, templates, flask, weather, rest api, jupyter notebook, analysis, modeling
Pinned GitHub Gists
The section features some of my defined gists used throughout my projects. The related repositories have also been added as git submodule, generally called using PYTHONPATH in the system. For a detailed guide of environment setup check โ configurations (my gitlab/ZenithClown account) for more details. The pinned repositories are categorized into the following sections:
AI/ML: Repositories designed for achieving some AI/ML related tasks. For example, these repositories are designed to perform feature engineering, model creation, optimization, etc.
Story Telling: A set of curated repositories designed for generating graphs, charts and images for various storytelling/business analysis/statistical understanding purposes.
Other Gist(s): Other important gists that do not belong to any of the above defined categories.
When using cookiecutter https://github.com/ZenithClown/flask-docker-template not able to reproduce files when using generate_cicd_files == yes.
Steps to Reproduce
Create a new template directory using cookiecutter https://github.com/ZenithClown/flask-docker-template
Choose generate_cicd_files == yes (option 1).
Expected Behavior
Should create all workflows and CICD operation files.
Actual Behavior
(Py37MLOPs) D:\TEMPLATES>cookiecutter https://github.com/ZenithClown/flask-docker-templateYou've downloaded C:\Users\debma\.cookiecutters\flask-docker-template before. Is it okay to delete and re-download it? [yes]:project_name [My Project]: flask-apirepository_name [flask-api]:author_name [Your name (or your organization/company/team)]: Debmalya Pramanikdescription [A short description of flask-api.]: A template of flask-api built using cookiecutter.Select open_source_license:1 - MIT2 - BSD-3-Clause3 - No license fileChoose from 1, 2, 3 [1]: 1Select generate_cicd_files:1 - yes2 - noChoose from 1, 2 [1]: 1Unable to create file '.github\workflows\CodeQL-Analysis.yml'Error message: 'matrix' is undefinedContext: { "cookiecutter": { "_template": "https://github.com/ZenithClown/flask-docker-template", "author_name": "Debmalya Pramanik", "description": "A template of flask-api built using cookiecutter.", "generate_cicd_files": "yes", "open_source_license": "MIT", "project_name": "flask-api", "repository_name": "flask-api" }}
Context
Python Version : 3.7
Operating System : Windows-10
Desktop Environment : NA
Create a flask database model schema using model_class rather than inheritance. More information on inheretence with db.Model is available at: 1, 2, 3.
CI Pipeline failed due to changes in app configuration and requirement in f7cb588 fails as PROJECT_ENV_NAME is set as dev by default instead of test, thus all get requests are diverted towards localhost:5000/api/dev rather than localhost:5000/testing/
Steps to Reproduce
NA
Expected Behavior
CI Pipeline should run with successful tests.
Actual Behavior
CI pipeline fails.
Fixing Ideas
Create/define PROJECT_ENV_NAME and point the same while performing tests through GitHub Actions.
Context
Python Version : 3.6+
Operating System : all
Desktop Environment : all