Posts (page 174)
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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.
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8 min readTo import a file into an Oracle table, you can use the SQLLoader utility provided by Oracle. First, create a control file that specifies the format of the data in the file and the mapping to the table columns. Then, use the SQLLoader command to load the data into the table. You can also use external tables or tools like Oracle Data Pump to import files into Oracle tables. Make sure to have the necessary permissions and privileges to perform these actions on the database.
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4 min readTo install TensorFlow on a Mac, you can use the Python package manager pip. First, make sure you have Python installed on your Mac. Then, open a terminal window and run the command pip install tensorflow. This will download and install TensorFlow and all its dependencies. You can also install specific versions of TensorFlow by specifying the version number when running the pip command, for example pip install tensorflow==2.3.0.
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7 min readTo use freetype bindings in Rust, you first need to include the freetype crate in your project's dependencies. You can do this by adding the following line to your Cargo.toml file: freetype = "0.7.1" Once you have included the freetype crate, you can use it in your code by importing the necessary modules.
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3 min readTo see the default values in a table in Oracle, you can query the USER_TAB_COLS view. This view contains information about the columns in all tables that are accessible to the current user. When querying this view, you can look at the DATA_DEFAULT column to see the default value defined for each column in the table.
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5 min readTo unload a Keras/TensorFlow model from memory, you can use the del keyword to delete the model object. This will release the memory used by the model. For example, if you have a model object named model, you can simply do del model to unload it from memory. This is especially useful when you have limited memory resources and need to free up memory after using a model. Additionally, you can also clear the TensorFlow session using keras.backend.
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5 min readTo connect to an Oracle database from a .NET application, you can use the Oracle Data Provider for .NET (ODP.NET) or the Oracle.ManagedDataAccess.dll. First, make sure you have the necessary Oracle client software installed on your machine. Then, you can create a connection string in your .NET application that specifies the necessary information, such as the server name, database name, username, and password. Next, you can use the OracleConnection class in .
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7 min readIn TensorFlow C++, the run() function is used to execute a specific operation within a TensorFlow graph. This function takes a Session object and a list of Operation objects as arguments, and it runs the specified operations within the session.When you call the run() function, TensorFlow will automatically execute the necessary computations to produce the outputs of the specified operations.
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6 min readTo get an array of field values from an array of structs in Rust, you can use the iter method in combination with the map method. By iterating over each struct in the array, you can extract the desired field value and collect them into a new array. Additionally, you can use closures to specify which field value to extract from each struct. This approach allows you to efficiently transform the array of structs into an array of field values according to your requirements.