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5 min readIn Oracle DB, you can sort multiline text by using the LISTAGG function along with the ORDER BY clause. The LISTAGG function concatenates values from multiple rows into a single string, making it perfect for sorting multiline text. Simply include the ORDER BY clause in your SQL query to sort the multiline text based on a specific column or condition. This will arrange the multiline text in ascending or descending order as per your requirement.
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6 min readIn TensorFlow, you can get the elements by indices using the tf.gather function. This function allows you to gather specific elements from a tensor based on their indices. You can pass a tensor containing indices to tf.gather along with the original tensor from which you want to extract the elements. The function will then return a new tensor containing the elements at the specified indices. Keep in mind that the indices must be within the bounds of the original tensor to avoid errors.
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5 min readTo show a table without it being cut off in Oracle, you can adjust the column widths to ensure all the data is displayed properly. This can be done by manually resizing the columns in the table or by using the "SET LINESIZE" command to increase the width of the output. Additionally, you can use the "FORMAT" clause in your SQL query to display the data in a more readable format.
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6 min readBuilding a smart home gym on a budget is possible with careful planning and research. Start by setting a budget and prioritizing the must-have equipment for your workouts. Look for multi-functional equipment that can target different muscle groups and save space. Consider investing in smart fitness gadgets like fitness trackers or smart scales to enhance your workouts and track your progress.
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4 min readIn TensorFlow, you can implement Numpy's where function using the tf.where function. The tf.where function takes a condition and returns the indices of elements that satisfy the condition.You can use tf.where in a TensorFlow graph to implement conditional operations. For example, you can use it to create a mask based on a condition, or to select elements from two tensors based on a condition.Here's an example of how you can use tf.where in TensorFlow: import tensorflow as tf a = tf.
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5 min readTo select every second row in Oracle SQL, you can use the following query:SELECT * FROM ( SELECT ROW_NUMBER() OVER () as row_num, table_name.* FROM table_name ) WHERE MOD(row_num, 2) = 0;This query uses the ROW_NUMBER() function to assign a row number to each row in the table. Then, it filters out rows where the row number is divisible by 2 (i.e., every second row).
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4 min readTo use a TensorFlow model in Python, you first need to install TensorFlow on your machine using pip install tensorflow. Once you have TensorFlow installed, you can import the necessary modules in your Python script. You can then load a pre-trained TensorFlow model using tf.keras.models.load_model or by creating a new model using tf.keras.Sequential.After loading the model, you can make predictions on new data by passing the input data through the model using model.predict().
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8 min readTo get data from an Oracle database on an hourly basis, you can use a job scheduler tool such as Oracle Scheduler or a third-party tool like Cron. You can create a job that runs a SQL query to extract the data you need from the database at the desired interval (in this case, hourly). You can specify the frequency and timing of the job to ensure that it runs every hour. The extracted data can then be stored in a file, transferred to another database, or processed further as required.
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4 min readYou can implement theano.tensor.lop in TensorFlow by using the TensorFlow library to construct the necessary operations. Theano's lop function is used to perform element-wise product of two tensors, but TensorFlow does not have a built-in equivalent function for this.To implement the lop function in TensorFlow, you can use the tf.multiply() function to perform element-wise multiplication of two tensors. The tf.
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3 min readTo parse XML by XMLType in Oracle, you can use the XMLTable function. This function queries the XML data and returns the results as relational data.You can use the XMLTable function in a SQL query by specifying the XMLType column and defining the structure of the XML data using XQuery expressions. The XMLTable function will then convert the XML data into relational rows and columns based on the specified structure.
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5 min readTo use TensorFlow with Flask, you can first create a Flask web application and then integrate the TensorFlow model into it. You can load the TensorFlow model into your Flask application and use it to make predictions based on the input data received from the users. You can also create an API endpoint in your Flask application that receives the input data, processes it using the TensorFlow model, and returns the predictions back to the user.