Step 4: Using Anaconda/Jupyter/Python with Autonomous Transaction Processingīefore running any Python apps that access the database, the correct packages must be loaded into the Python environment. Hooray!!! Anaconda and Python is now installed. Add full path to the anaconda scripts directory (C:\Anaconda3\scripts\).Add full path to the anaconda directory (C:\Anaconda3).In the System variables double click Path.Click Environment Variables at bottom of screen.In Search, search for and then select: Advanced System Settings (control panel).Add C:\Anaconda3\ and C:\Anaconda3\scripts\ to your PATH: You must add the new install directory into your PATH.Deselect both options in the next screen and Click Next.You will get a prompt to install Microsoft VS Code.The installation will take a few minutes.Leave Add Anaconda to your PATH environment variable non-selected. Make sure you Select Register Anaconda as my default Python 3.7.Install in the following directory: C:\Anaconda3 You must create the directory if the directory does not exist create (the installer will not create it).In the next screen Select Just me and Click Next.This brings up the Anaconda installation page, go ahead and Click Next. Go to the folder where the file was downloaded and Double Click it.Select the Python 3.7 version download highlighted below, make sure you select the one for your correct architecture (32 or 64-bit).If you have other versions of Python installed, remove them as any PATH’s and projects associated with them or this installation may not work. Anaconda/Jupyter is very sensitive to other installed versions and PATH’s associated with previous installations on your computer. Step 3: Installing Anaconda/Python/JupyterĪnaconda/Jupyter is a popular IDE. This completes the installation of the pre-requisites.Double Click the downloaded file and proceed with the installation.Oracle Client libraries for Windows require the presence of the correct Visual Studio redistributable.Step 2: Installing Microsoft Visual Studio Redistributable Add full path to the instant client directory (C:\instantclient_18_5).In the System Variables double click Path.Click Environment Variables at the bottom of screen.In Search, search for and then select: Advanced Systems Settings (Control Panel).Add this directory to your path in Windows:.Open Command Prompt and navigate to the directory. Download the file and then proceed to the directory where the file was downloaded.If you do not have an account you need to create one. This will require you signing into OTN with your SSO account.Accept License Agreement and select Basic Lite Package.If you happen to run another operating system, you can find the relevant Oracle Instant Client libraries here. Let us start with Oracle Instant Client for Microsoft Windows (圆4) 64-bit. Tools included in Instant Client, such as SQL*Plus and Oracle Data Pump, provide quick and convenient data access. It underlies the Oracle APIs of popular languages and environments including Node.js, Python and PHP, as well as providing access for OCI, OCCI, JDBC, ODBC and Pro*C applications. The Instant Client libraries provide the necessary network connectivity, as well as basic and high-end data processing features, to make full use of any Oracle database. Oracle Instant Client enables applications to connect to a local or remote Oracle Database for development and production deployment. In order to connect and run applications from your PC to remote Oracle databases, such as Autonomous Transaction Processing, Oracle client libraries must be installed on your computer. Step 1: Download the Oracle Instant Client In this blog you will install Oracle Client libraries, install Visual Studio, install Anaconda and run a few simple commands on Jupyter Notebook. Autonomous Transaction Processing supports a complex mix of high-performance transactions, reporting, batch, IoT, and machine learning in a single database, allowing much simpler application development and deployment and enabling real-time analytics, personalization, and fraud detection. In the previous blog we provisioned and connected to an Autonomous Transaction Processing instance.
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