update emails

CODE_OF_CONDUCT.md

@@ -60,7 +60,7 @@ representative at an online or offline event.
 
 Instances of abusive, harassing, or otherwise unacceptable behavior may be
 reported to the community leaders responsible for enforcement at
-ops@nixtla.io.
+support@nixtla.io.
 All complaints will be reviewed and investigated promptly and fairly.
 
 All community leaders are obligated to respect the privacy and security of the

CONTRIBUTING.md

@@ -51,7 +51,7 @@ This library uses `python-dotenv` for development. To set up your TimeGPT token,
 TIMEGPT_TOKEN=<your token>
 ```
 
-Please write to `ops@nixtla.io` if you're insterested in contributing to this project to get access to your TimeGPT token.
+Please write to `support@nixtla.io` if you're insterested in contributing to this project to get access to your TimeGPT token.
 
 #### Install git hooks
 Before doing any changes to the code, please install the git hooks that run automatic scripts during each commit and merge to strip the notebooks of superfluous metadata (and avoid merge conflicts).

experiments/azure-automl-forecasting/README.md

@@ -40,7 +40,7 @@ uv pip install -r requirements.txt
 python -m src.utils.download_data
 ```
 
-If you're interested in replicating the results, write us at `ops@nixtla.io` to give you access to the data.
+If you're interested in replicating the results, write us at `support@nixtla.io` to give you access to the data.
 
 5. Filter the datasets to prevent AzureML from crashing
 

experiments/prophet/README.md

@@ -50,7 +50,7 @@ The repository includes a Makefile to streamline the process of running experime
 
 ## Getting Started
 
-1. **Prepare Data**: Ensure your Parquet files are in `/data`. If you want access to the original datasets, please write to `ops@nixtla.io` with your use case.
+1. **Prepare Data**: Ensure your Parquet files are in `/data`. If you want access to the original datasets, please write to `support@nixtla.io` with your use case.
 2. **Create conda environment**: Run `conda env create -f environment.yml` and activate the environment using `conda activate timegpt-benchmark`.
 3. **Run Benchmarks**: Use the Makefile commands to run evaluations and summarize results.
 

nbs/docs/getting-started/2_quickstart.ipynb

@@ -199,7 +199,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:nixtla.nixtla_client:Happy Forecasting! :), If you have questions or need support, please email ops@nixtla.io\n"
+      "INFO:nixtla.nixtla_client:Happy Forecasting! :), If you have questions or need support, please email support@nixtla.io\n"
      ]
     },
     {

nbs/docs/reference/03_excel_addin.ipynb

@@ -17,7 +17,7 @@
     "\n",
     "## Support\n",
     "\n",
-    "If you have questions or need support, please email [ops@nixtla.io](mailto:ops@nixtla.io).\n",
+    "If you have questions or need support, please email [support@nixtla.io](mailto:support@nixtla.io).\n",
     "\n",
     "## How-to\n",
     "\n",

nixtla/nixtla_client.py

@@ -823,7 +823,7 @@ def _run_validations(
         freq: Optional[str],
     ) -> tuple[DFType, Optional[DFType], bool, str]:
         if validate_api_key and not self.validate_api_key(log=False):
-            raise Exception("API Key not valid, please email ops@nixtla.io")
+            raise Exception("API Key not valid, please email support@nixtla.io")
         if model not in self.supported_models:
             raise ValueError(
                 f"unsupported model: {model}. supported models: {self.supported_models}"