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  • How to Automatically Generate New Uuid In Postgresql? preview
    3 min read
    To automatically generate a new UUID in PostgreSQL, you can use the function uuid_generate_v4(). This function generates a new UUID value using a version 4 random algorithm. You can use this function as a default value for a column in a table. By setting the default value of the column to uuid_generate_v4(), PostgreSQL will automatically generate a new UUID whenever a new row is inserted into the table.

  • How to Assign A Tensor In Tensorflow Like Pytorch? preview
    6 min read
    In TensorFlow, you can assign a tensor value using the tf.assign function, which is similar to PyTorch's method of assigning values to tensors. Here's an example of how you can assign a new value to a tensor in TensorFlow: import tensorflow as tf # Create a constant tensor tensor = tf.constant([1, 2, 3]) # Create a new value new_value = tf.constant([4, 5, 6]) # Assign the new value to the tensor assign_op = tf.assign(tensor, new_value) with tf.Session() as sess: sess.run(tf.

  • How to Persist Postgresql Data In Docker-Compose? preview
    4 min read
    To persist PostgreSQL data in Docker Compose, you can mount a volume from the host machine to the container where the PostgreSQL data is stored. This way, even if the container is stopped or removed, the data will be saved on the host machine. You can achieve this by adding a volumes section to your docker-compose.yml file and specifying the path on the host machine where the data should be persisted.

  • How to Find Records Based on Enum Value In Postgresql? preview
    4 min read
    To find records based on an enum value in PostgreSQL, you can use a query that filters the results using the enum type as a condition. Enum types in PostgreSQL are a great way to represent a finite set of possible values for a column.For example, if you have a table with an enum column called "status" and you want to find all records with a specific status value (e.g.

  • How to Use Custom Dataset With Tensorflow? preview
    7 min read
    To use a custom dataset with TensorFlow, you first need to create a dataset object using the tf.data.Dataset class. This object can be created from a variety of data sources such as NumPy arrays, pandas DataFrames, or even from loading files from disk.Once you have created the dataset object, you can apply transformations and mapping functions to preprocess the data as needed. This can include operations such as shuffling, batch processing, and data augmentation.

  • How to Get First Element From Jsonb Array In Postgresql Procedure? preview
    3 min read
    To get the first element from a JSONB array in a PostgreSQL procedure, you can use the -> operator to access the elements of the array by their index. For example, if you have a JSONB column named data containing an array and you want to get the first element of that array, you can use the following syntax: SELECT data->0 FROM your_table WHERE condition; This will return the first element of the array stored in the data column.

  • What Data Type to Use For Ratings In Postgresql? preview
    4 min read
    In PostgreSQL, the common data type used for storing ratings is the numeric data type. The numeric data type allows for the storage of numeric values with a high degree of precision, making it suitable for storing ratings that may contain decimal values. By using the numeric data type, you can accurately store ratings with varying levels of granularity, such as ratings on a scale of 1 to 10 or ratings with decimal points.

  • How to Remove Square Bracket Using Regexp In Postgresql? preview
    4 min read
    To remove square brackets using regex in PostgreSQL, you can use the regexp_replace function. This function allows you to replace substrings that match a regular expression.For example, if you have a string like '[Hello World]', you can remove the square brackets by using the following query: SELECT regexp_replace('[Hello World]', '\[|\]', '', 'g'); This query uses the regular expression '[|]' to match both opening and closing square brackets.

  • How to Build Model With 3D Array Label With Tensorflow? preview
    5 min read
    To build a model with a 3D array label in TensorFlow, you can use the appropriate functions and layers provided by the TensorFlow library.First, you need to define your model architecture using TensorFlow's high-level API, such as Keras. Make sure your input data has the shape that matches the input layer of your model.When working with a 3D array label, ensure that your output layer also has the appropriate shape to accommodate the 3D array label.

  • How to Create Procedure In Postgresql? preview
    6 min read
    In PostgreSQL, a procedure is a set of SQL statements that can be stored in the database and executed as a single unit. To create a procedure in PostgreSQL, you need to use the CREATE PROCEDURE statement followed by the procedure name and the block of SQL statements that make up the procedure.First, you need to connect to your PostgreSQL database using a database client or command-line interface.

  • How to Restore Specific Schema From Dump File In Postgresql? preview
    4 min read
    To restore a specific schema from a dump file in PostgreSQL, you can use the pg_restore command with the -n flag followed by the name of the schema you want to restore.First, create a dump file of the specific schema using the pg_dump command.

  • How to Reload Tensorflow Model In Google Cloud Run Server? preview
    5 min read
    To reload a TensorFlow model in Google Cloud Run server, you can follow these steps:First, upload the new TensorFlow model file to Google Cloud Storage.Next, update your Cloud Run service to reference the new TensorFlow model file location.Restart the Cloud Run service to apply the changes and reload the TensorFlow model.Test the reloaded TensorFlow model to ensure it is working as expected.By following these steps, you can easily reload a TensorFlow model in a Google Cloud Run server.