diff --git a/try.py b/try.py
deleted file mode 100644
index c4e6aadc37..0000000000
--- a/try.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import os , subprocess, pickle, tqdm
-import pandas as pd
-
-def get_files_with_extensions(directory, extensions):
-    files = []
-    for filename in os.listdir(directory):
-        if os.path.isfile(os.path.join(directory, filename)):
-            _, ext = os.path.splitext(filename)
-            if ext.lower() in extensions:
-                files.append(os.path.join(directory, filename))
-    return files
-
-extensions = ['.exe_', '.dll_', '.sys_', '.elf_', '.raw32', '.raw64', '.cs_', '.aspx_', '.py_']
-directory = r"C:\Users\HP\Documents\GitHub\capa\tests\data"
-
-all_paths = get_files_with_extensions(directory, extensions)
-print("Total number of files to be processed ", len(all_paths))
-
-pickle_path = "./all_rules_entropy.pickle"
-write_path = "./rules_entropy.txt"
-pbar = tqdm.tqdm
-entropy = {}
-
-for file_path in pbar(all_paths):
-    cmd = ["capa", file_path]
-
-    with open(write_path, 'w') as file:
-            file.write('')
-
-    try:
-        result = subprocess.run(cmd, capture_output=True, text=True, check=True)
-    except subprocess.CalledProcessError as e:
-        print("Error running capa on " + file_path + " : " + str(e))
-
-    with open(write_path, "r") as f:
-        for line in f.readlines():
-            line.strip()
-            entropy[line] = entropy.get(line, 0) + 1
-
-    with open(pickle_path, 'wb') as pickle_file:
-        pickle.dump(entropy, pickle_file)
-
-with open(pickle_path, 'wb') as pickle_file:
-    pickle.dump(entropy, pickle_file)
-
-def save_dict_to_excel(data_dict, excel_file_path):
-    # Convert the dictionary to a pandas DataFrame
-    df = pd.DataFrame(data_dict.items())
-
-    # Save the DataFrame to an Excel file
-    df.to_excel(excel_file_path, index=False, header=["Rule", "Number of Matches"])
-
-excel_file_path = "./entropy.xlsx"
-save_dict_to_excel(entropy, excel_file_path)