docs: def _generate_github_readme(notebook_object, dict_by_tag):
      """
      Internal function that is used for generation of the GitHub and PyPI README file.
  
      ----------
      Parameters
      ----------
      notebook_object : notebook object
          Object of "notebook" class where the body will be created.
  
      dict_by_tag : dict
          Dictionary where each key is a tag and the respective value will be a list containing the
          Notebooks (title and filename) that include this tag.
  
      """
  
      # ==================== List of urls that contain each Category icon ============================
      icons = {"Detect": "https://i.ibb.co/rymrvFL/Detect.png",
               "Evaluate": "https://i.ibb.co/yfwcy2M/Evaluate.png",
               "Extract": "https://i.ibb.co/tchq7Cc/Extract.png",
               "Load": "https://i.ibb.co/YPbCnzD/Load.png",
               "Pre-Process": "https://i.ibb.co/1rKWccX/Pre-Process.png",
               "Record": "https://i.ibb.co/d2jZH1s/Record.png",
               "Train_and_Classify": "https://i.ibb.co/CQ4cyGb/Train-and-Classify.png",
               "Understand": "https://i.ibb.co/MnhRRQT/Understand.png",
               "Visualise": "https://i.ibb.co/wh4HKzf/Visualise.png",
               "Other": "https://i.ibb.co/ry9BzhV/Other.png",
               "Install": "https://i.ibb.co/4fBR4Q3/Install.png",
               "Connect": "https://i.ibb.co/3yDZpxC/Connect.png"}
  
      # =========================== biosignalsnotebooks website ======================================
      biosignalsnotebooks_web = "http://www.biosignalsplux.com/notebooks/Categories/"
  
      # == Generation of a table that group Notebooks by category the information about each signal ==
      category_list = list(NOTEBOOK_KEYS.keys())
      tag_keys = list(dict_by_tag.keys())
  
      markdown_cell = """<table width="100%">
      <tr>
          <td width="20%" align="center"><strong> Category <strong></td>
          <td width="80%"></td>
      </tr>"""
  
      for i, category in enumerate(category_list):
          if category != "MainFiles":
              if category.lower() in tag_keys:
                  nbr_notebooks = len(dict_by_tag[category.lower()])
                  notebook_list = dict_by_tag[category.lower()]
                  split_path = notebook_list[0].replace("\\", "/").split("/")
                  notebook_name = split_path[-1].split("&")[0]
                  notebook_title = split_path[-1].split("&")[1]
                  markdown_cell += "\n\t<tr>" \
                                   "\n\t\t<td rowspan='" + str(nbr_notebooks) + "'><p align='center'><img src='" + icons[category] + "' width='50%' align='center'></p></td>" \
                                   "\n\t\t<td align='center'> <a href='" + biosignalsnotebooks_web + category + "/" + notebook_name.replace(".ipynb", "_rev.php") + "' target='_blank'>" + notebook_title + "</a> </td>" \
                                   "\n\t</tr>"
  
                  for j, notebook_file in enumerate(notebook_list[1:]):
                      split_path = notebook_file.replace("\\", "/").split("/")
                      notebook_name = split_path[-1].split("&")[0]
                      notebook_title = split_path[-1].split("&")[1]
                      markdown_cell += "\n\t<tr>" \
                                       "\n\t\t<td align='center'> <a href='" + biosignalsnotebooks_web + category + "/" + notebook_name.replace(".ipynb", "_rev.php") + "'>" + notebook_title + "</a> </td>" \
                                       "\n\t</tr>"
  
      markdown_cell += "\n</table>"
  
      # ============================ Generation of README files ======================================
      # [Open template]
      template_path = os.path.abspath(__file__).split(os.path.basename(__file__))[0].replace("\\", "/") + "/notebook_files/github/README_TEMPLATE.md"
      with open(template_path, 'r') as readme:
          readme_str = readme.read()
  
      readme_str = readme_str.replace("LIST_OF_NOTEBOOKS", markdown_cell)
  
      # [Storage of the updated files]
      for path in ["../biosignalsnotebooks/README_BSN.md", "../README.md"]:
          with open(path, 'w') as readme_out:
              readme_out.write(readme_str)
          readme_out.close()