<jupyter_start><jupyter_text>Make Power Point Presentations IMPORTANT: Before running this notebook run Generate_files notebook if you want to get updated information.  Table of contents:* [Install required packages](install)* [Import required module](import)* [Make presentations](presentation)  Install required packages that are not present in the docker image<jupyter_code>%%capture
import sys
!{sys.executable} -m pip install python-pptx
# comment out this cell once it's installed<jupyter_output><empty_output><jupyter_text>Import required module power_point.py is the code behind this notebook<jupyter_code>from modules.power_point import make_presentation<jupyter_output><empty_output><jupyter_text>Make presentations  Next command create a powerpoint presentation with all current Projects Team Structures. It also create one powerpoint presentation per project with a single slide each one if 'single' parameter is equal to True, and one presentation per delivery manager if 'dm' parameter is equal to True. These presentations are saved in folders 'single' and 'DM' respectively. Remember to create 'outputs' folder locally, and also create 'single' and 'DM' folders inside it.<jupyter_code>make_presentation(sheet_name='Projects Team Structure', 
                  output_to='outputs/Projects Team Structure.pptx', 
                  single=True, dm = True)<jupyter_output>/opt/conda/lib/python3.8/site-packages/pandas/core/strings.py:2001: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.
  return func(self, *args, **kwargs)
{'fraction_non_alphanumeric': 0.07224334600760456, 'fraction_numerical': 0.0038022813688212928, 'mean_word_length': 5.719148936170213, 'pattern_counts': {'":': 0, '<': 12, '<?xml version=': 0, '>': 12, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '21026', 'license': 'Apache-2.0', 'n_tokens_mistral': 423, 'n_tokens_neox': 398, 'n_words': 164, 'path': 'upwork-devs/Pappaterra-Lucia/Make_PowerPoint_Presentation.ipynb', 'repo_name': 'mnjenga2/k8-data-visualization', 'size': '1578'}