.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [266]: pd.json_normalize(data, max_level=1) Out[266]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts provides a DockerFile in the root directory to build a Docker image with a full pandas development environment. Docker Commands Build the Docker image: 4.2. Creating a development environment 2789 pandas:

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [287]: pd.json_normalize(data, max_level=1) Out[287]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts provides a DockerFile in the root directory to build a Docker image with a full pandas development environment. Docker Commands Build the Docker image: 4.2. Creating a development environment 2791 pandas:

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [284]: pd.json_normalize(data, max_level=1) Out[284]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts Docker image with a full pandas development environment. Docker Commands Build the Docker image: # Build the image pandas-yourname-env docker build --tag pandas-yourname-env . # Or build the image by passing

'Name': 'Name001'}}, .....: 'Image': {'a': 'b'} .....: }] .....: In [259]: json_normalize(data, max_level=1) Out[259]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text {'Id':

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [262]: pd.json_normalize(data, max_level=1) Out[262]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts with just several commands. pandas provides a DockerFile in the root directory to build a Docker image with a full pandas development environment. Docker Commands Pass your GitHub username in the DockerFile

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [262]: pd.json_normalize(data, max_level=1) Out[262]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts directory to build a Docker image with a full pandas development environment. Docker Commands Pass your GitHub username in the DockerFile to use your own fork: # Build the image pandas-yourname-env docker

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [262]: pd.json_normalize(data, max_level=1) Out[262]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts directory to build a Docker image with a full pandas development environment. Docker Commands Pass your GitHub username in the DockerFile to use your own fork: # Build the image pandas-yourname-env docker

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [262]: pd.json_normalize(data, max_level=1) Out[262]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text with just several commands. pandas provides a DockerFile in the root directory to build a Docker image with a full pandas development environment. Docker Commands Pass your GitHub username in the DockerFile Chapter 4. Development pandas: powerful Python data analysis toolkit, Release 1.2.3 # Build the image pandas-yourname-env docker build --tag pandas-yourname-env . # Run a container and bind your local

.....: }, .....: "Image": {"a": "b"}, .....: } .....: ] .....: In [262]: pd.json_normalize(data, max_level=1) Out[262]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text with just several commands. pandas provides a DockerFile in the root directory to build a Docker image with a full pandas development environment. Docker Commands Pass your GitHub username in the DockerFile Chapter 4. Development pandas: powerful Python data analysis toolkit, Release 1.2.0 # Build the image pandas-yourname-env docker build --tag pandas-yourname-env . # Run a container and bind your local

from previous page) ....: 'Image': {'a': 'b'} ....: }] ....: In [11]: json_normalize(data, max_level=1) Out[11]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text {'Id': 'Name': 'Name001'}}, .....: 'Image': {'a': 'b'} .....: }] .....: In [259]: json_normalize(data, max_level=1) Out[259]: CreatedBy.Name Lookup.TextField Lookup.UserField Image.a 0 User001 Some text {'Id':