Folder and File Search in Python¶

This notebook serves as a practical introduction to Python file-system navigation, file searching, directory traversal, and folder filtering using both os and pathlib. It introduces several Python concepts, libraries, classes, methods, and functions.

Major Topics Covered¶
  1. Finding a specific file recursively
  2. Searching for files by extension
  3. Listing folder contents
  4. Listing immediate subfolders
  5. Recursive folder traversal
  6. Filtering files and folders
  7. Excluding selected folders from searches
  8. Using os versus pathlib
  9. Building file paths
  10. Numbering search results
  11. Case-insensitive file and folder matching

Recursively search for "FolderFileSearch.ipynb" and print its full path - Method 1¶

In [158]:
from pathlib import Path
root = Path(r"C:\Explore")
for file in root.rglob("*.ipynb"):
    if file.name.lower() == "foldersfilessearch.ipynb":
        print(file)

C:\Explore\Python\FoldersFilesSearch.ipynb

Recursively search for "FolderFileSearch.ipynb" and print its full path - Method 2¶

In [163]:
import os
root = r"C:\Explore"
for foldername, subfolders, filenames in os.walk(root):
    if "FoldersFilesSearch.ipynb" in filenames:
        print(os.path.join(foldername, "FoldersFilesSearch.ipynb"))

C:\Explore\Python\FoldersFilesSearch.ipynb

Print full paths of the first-level subfolders (non-recursively) - Method 1¶

In [134]:
# Print full paths of the first-level subfolders (non-recursively) - Method 1
import os
folder = r"C:\Explore"
for item in sorted(os.listdir(folder)):
    full_path = os.path.join(folder, item)
    if os.path.isdir(full_path):
        print(full_path)

C:\Explore\BDMDataTables
C:\Explore\DataHive
C:\Explore\Extra_SUDAAN
C:\Explore\HTML
C:\Explore\LabPythonPGMS
C:\Explore\Obsolete_pgms
C:\Explore\Python
C:\Explore\PythonBDM_YouTube
C:\Explore\PythonScriptsBDM
C:\Explore\Python_Code_BangIndia
C:\Explore\SAS
C:\Explore\SUDAAN
C:\Explore\r-basics
C:\Explore\stata-complex-surveys

Print full paths of the first-level subfolders (non-recursively) - Method 2¶

In [108]:
# Print full paths of the first-level subfolders (non-recursively) - Method 2
from pathlib import Path
folder = Path(r"C:\Explore")
for item in sorted(folder.iterdir()):
    if item.is_dir():
        print(item)

C:\Explore\BDMDataTables
C:\Explore\DataHive
C:\Explore\Extra_SUDAAN
C:\Explore\HTML
C:\Explore\LabPythonPGMS
C:\Explore\Obsolete_pgms
C:\Explore\Python
C:\Explore\Python_Code_BangIndia
C:\Explore\PythonBDM_YouTube
C:\Explore\PythonScriptsBDM
C:\Explore\r-basics
C:\Explore\SAS
C:\Explore\stata-complex-surveys
C:\Explore\SUDAAN

Recursively list all subfolders under the root directory¶

by skipping a set of subfolders¶
In [170]:
import os

root = r"C:\Explore"

exclude = {
    "anaconda_projects",
    ".virtual_documents",
    ".ipynb_checkpoints",
    ".git",
    "Obsolete_pgms",
    "YouTubeApp_Obsoletes",
    "Obsolete_SAS_Pgms",
    "Obsolete_output",
    "Obsolete_YT_Python_Pgms",
    "Microsoft.Flow",
     "__pycache__"
}

exclude = {x.lower() for x in exclude}

for foldername, subfolders, filenames in os.walk(root):

    subfolders[:] = [
        d for d in subfolders
        if d.lower() not in exclude
    ]

    print(foldername)

C:\Explore
C:\Explore\BDMDataTables
C:\Explore\BDMDataTables\Charts
C:\Explore\BDMDataTables\CSVText
C:\Explore\BDMDataTables\ExcelData
C:\Explore\BDMDataTables\HTMLOutput
C:\Explore\BDMDataTables\PythonPgms
C:\Explore\BDMDataTables\SASData
C:\Explore\BDMDataTables\SASOutput
C:\Explore\BDMDataTables\SASPgms
C:\Explore\DataHive
C:\Explore\DataHive\BDIndiaCensusHistorical
C:\Explore\DataHive\BDIndiaCensusHistorical\Charts
C:\Explore\DataHive\BDViolenceAgainstMinority
C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_Charts
C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_Reports
C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_VideoResources
C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables
C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2023AndEarlier
C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2024
C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2025
C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2026
C:\Explore\DataHive\BDViolenceAgainstMinority\GoogleNotebookLM_BDViolenceAM
C:\Explore\Extra_SUDAAN
C:\Explore\HTML
C:\Explore\LabPythonPGMS
C:\Explore\Python
C:\Explore\Python\Extra_Pgms
C:\Explore\Python\Extra_Pgms\code_bootcamp_jupyter_nb
C:\Explore\Python\Extra_Pgms\code_by_pkmedu
C:\Explore\Python\Extra_Pgms\Lectures
C:\Explore\Python\Extra_Pgms\Postgres
C:\Explore\Python\Extra_Pgms\PythonScriptsBDM
C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts
C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts\Data
C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts\Data\YouTubeFlowExport
C:\Explore\PythonBDM_YouTube
C:\Explore\PythonBDM_YouTube\Original_YT_PGMS
C:\Explore\PythonBDM_YouTube\Output
C:\Explore\PythonBDM_YouTube\Output\Year2024
C:\Explore\PythonBDM_YouTube\Output\Year2025
C:\Explore\PythonBDM_YouTube\Output\Year2026
C:\Explore\PythonBDM_YouTube\PythonOutput
C:\Explore\PythonBDM_YouTube\PythonPgms
C:\Explore\PythonScriptsBDM
C:\Explore\Python_Code_BangIndia
C:\Explore\Python_Code_BangIndia\Census_BD_India
C:\Explore\Python_Code_BangIndia\charts
C:\Explore\Python_Code_BangIndia\Obsolete_BD_India_PyPgms
C:\Explore\r-basics
C:\Explore\r-basics\BuiltInData
C:\Explore\r-basics\Data
C:\Explore\r-basics\dput_dget
C:\Explore\r-basics\ManipulatingData
C:\Explore\r-basics\Misc_R_Code
C:\Explore\r-basics\ReadingDataIntoR
C:\Explore\r-basics\Resources
C:\Explore\r-basics\R_Language_Concepts
C:\Explore\r-basics\SASUsingRmakrdown
C:\Explore\r-basics\SimulateData
C:\Explore\r-basics\UtilityTools
C:\Explore\r-basics\WorkingWithVectors
C:\Explore\SAS
C:\Explore\SAS\Lesson1
C:\Explore\SAS\Lesson1\Lesson1data
C:\Explore\SAS\Lesson1\SAS_Codes
C:\Explore\SAS\Lesson10
C:\Explore\SAS\Lesson10\SAS_Codes
C:\Explore\SAS\Lesson11
C:\Explore\SAS\Lesson11\Compiled_Macros
C:\Explore\SAS\Lesson11\Data
C:\Explore\SAS\Lesson11\DO_Over_Compiled
C:\Explore\SAS\Lesson11\SAS_Codes
C:\Explore\SAS\Lesson12
C:\Explore\SAS\Lesson12\SAS_Codes
C:\Explore\SAS\Lesson13
C:\Explore\SAS\Lesson13\Lesson13data
C:\Explore\SAS\Lesson13\SAS_Codes
C:\Explore\SAS\Lesson14
C:\Explore\SAS\Lesson14\SAS_Codes
C:\Explore\SAS\Lesson15
C:\Explore\SAS\Lesson16
C:\Explore\SAS\Lesson17
C:\Explore\SAS\Lesson2
C:\Explore\SAS\Lesson2\Lesson2Data
C:\Explore\SAS\Lesson2\SAS_Codes
C:\Explore\SAS\Lesson3
C:\Explore\SAS\Lesson3\Lesson3Data
C:\Explore\SAS\Lesson3\SAS_Codes
C:\Explore\SAS\Lesson4
C:\Explore\SAS\Lesson4\SAS_Codes
C:\Explore\SAS\Lesson5
C:\Explore\SAS\Lesson5\SAS_Codes
C:\Explore\SAS\Lesson6
C:\Explore\SAS\Lesson6\SAS_Codes
C:\Explore\SAS\Lesson7
C:\Explore\SAS\Lesson7\Lesson7Data
C:\Explore\SAS\Lesson7\SAS_Codes
C:\Explore\SAS\Lesson8
C:\Explore\SAS\Lesson8\SAS_Codes
C:\Explore\SAS\Lesson9
C:\Explore\SAS\Lesson9\SAS_Codes
C:\Explore\stata-complex-surveys
C:\Explore\SUDAAN

Recursively list all subfolders under the root directory with numbers¶

by skipping a set of subfolders¶
In [144]:
import os

root = r"C:\Explore"

exclude = {
    "anaconda_projects",
    ".virtual_documents",
    ".ipynb_checkpoints",
    ".git",
    "Obsolete_pgms",
    "YouTubeApp_Obsoletes",
    "Obsolete_SAS_Pgms",
    "Obsolete_output",
    "Obsolete_YT_Python_Pgms",
    "Microsoft.Flow",
     "__pycache__"
}

exclude = {x.lower() for x in exclude}

count = 0

for foldername, subfolders, filenames in os.walk(root):

    subfolders[:] = [
        d for d in subfolders
        if d.lower() not in exclude
    ]

    count += 1
    print(f"{count:3d}. {foldername}")

  1. C:\Explore
  2. C:\Explore\BDMDataTables
  3. C:\Explore\BDMDataTables\Charts
  4. C:\Explore\BDMDataTables\CSVText
  5. C:\Explore\BDMDataTables\ExcelData
  6. C:\Explore\BDMDataTables\HTMLOutput
  7. C:\Explore\BDMDataTables\PythonPgms
  8. C:\Explore\BDMDataTables\SASData
  9. C:\Explore\BDMDataTables\SASOutput
 10. C:\Explore\BDMDataTables\SASPgms
 11. C:\Explore\DataHive
 12. C:\Explore\DataHive\BDIndiaCensusHistorical
 13. C:\Explore\DataHive\BDIndiaCensusHistorical\Charts
 14. C:\Explore\DataHive\BDViolenceAgainstMinority
 15. C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_Charts
 16. C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_Reports
 17. C:\Explore\DataHive\BDViolenceAgainstMinority\BDViolenceAM_VideoResources
 18. C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables
 19. C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2023AndEarlier
 20. C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2024
 21. C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2025
 22. C:\Explore\DataHive\BDViolenceAgainstMinority\DataTables\2026
 23. C:\Explore\DataHive\BDViolenceAgainstMinority\GoogleNotebookLM_BDViolenceAM
 24. C:\Explore\Extra_SUDAAN
 25. C:\Explore\HTML
 26. C:\Explore\LabPythonPGMS
 27. C:\Explore\Python
 28. C:\Explore\Python\Extra_Pgms
 29. C:\Explore\Python\Extra_Pgms\code_bootcamp_jupyter_nb
 30. C:\Explore\Python\Extra_Pgms\code_by_pkmedu
 31. C:\Explore\Python\Extra_Pgms\Lectures
 32. C:\Explore\Python\Extra_Pgms\Postgres
 33. C:\Explore\Python\Extra_Pgms\PythonScriptsBDM
 34. C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts
 35. C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts\Data
 36. C:\Explore\Python\Extra_Pgms\PythonScripts_Transcripts\Data\YouTubeFlowExport
 37. C:\Explore\PythonBDM_YouTube
 38. C:\Explore\PythonBDM_YouTube\Original_YT_PGMS
 39. C:\Explore\PythonBDM_YouTube\Output
 40. C:\Explore\PythonBDM_YouTube\Output\Year2024
 41. C:\Explore\PythonBDM_YouTube\Output\Year2025
 42. C:\Explore\PythonBDM_YouTube\Output\Year2026
 43. C:\Explore\PythonBDM_YouTube\PythonOutput
 44. C:\Explore\PythonBDM_YouTube\PythonPgms
 45. C:\Explore\PythonScriptsBDM
 46. C:\Explore\Python_Code_BangIndia
 47. C:\Explore\Python_Code_BangIndia\Census_BD_India
 48. C:\Explore\Python_Code_BangIndia\charts
 49. C:\Explore\Python_Code_BangIndia\Obsolete_BD_India_PyPgms
 50. C:\Explore\r-basics
 51. C:\Explore\r-basics\BuiltInData
 52. C:\Explore\r-basics\Data
 53. C:\Explore\r-basics\dput_dget
 54. C:\Explore\r-basics\ManipulatingData
 55. C:\Explore\r-basics\Misc_R_Code
 56. C:\Explore\r-basics\ReadingDataIntoR
 57. C:\Explore\r-basics\Resources
 58. C:\Explore\r-basics\R_Language_Concepts
 59. C:\Explore\r-basics\SASUsingRmakrdown
 60. C:\Explore\r-basics\SimulateData
 61. C:\Explore\r-basics\UtilityTools
 62. C:\Explore\r-basics\WorkingWithVectors
 63. C:\Explore\SAS
 64. C:\Explore\SAS\Lesson1
 65. C:\Explore\SAS\Lesson1\Lesson1data
 66. C:\Explore\SAS\Lesson1\SAS_Codes
 67. C:\Explore\SAS\Lesson10
 68. C:\Explore\SAS\Lesson10\SAS_Codes
 69. C:\Explore\SAS\Lesson11
 70. C:\Explore\SAS\Lesson11\Compiled_Macros
 71. C:\Explore\SAS\Lesson11\Data
 72. C:\Explore\SAS\Lesson11\DO_Over_Compiled
 73. C:\Explore\SAS\Lesson11\SAS_Codes
 74. C:\Explore\SAS\Lesson12
 75. C:\Explore\SAS\Lesson12\SAS_Codes
 76. C:\Explore\SAS\Lesson13
 77. C:\Explore\SAS\Lesson13\Lesson13data
 78. C:\Explore\SAS\Lesson13\SAS_Codes
 79. C:\Explore\SAS\Lesson14
 80. C:\Explore\SAS\Lesson14\SAS_Codes
 81. C:\Explore\SAS\Lesson15
 82. C:\Explore\SAS\Lesson16
 83. C:\Explore\SAS\Lesson17
 84. C:\Explore\SAS\Lesson2
 85. C:\Explore\SAS\Lesson2\Lesson2Data
 86. C:\Explore\SAS\Lesson2\SAS_Codes
 87. C:\Explore\SAS\Lesson3
 88. C:\Explore\SAS\Lesson3\Lesson3Data
 89. C:\Explore\SAS\Lesson3\SAS_Codes
 90. C:\Explore\SAS\Lesson4
 91. C:\Explore\SAS\Lesson4\SAS_Codes
 92. C:\Explore\SAS\Lesson5
 93. C:\Explore\SAS\Lesson5\SAS_Codes
 94. C:\Explore\SAS\Lesson6
 95. C:\Explore\SAS\Lesson6\SAS_Codes
 96. C:\Explore\SAS\Lesson7
 97. C:\Explore\SAS\Lesson7\Lesson7Data
 98. C:\Explore\SAS\Lesson7\SAS_Codes
 99. C:\Explore\SAS\Lesson8
100. C:\Explore\SAS\Lesson8\SAS_Codes
101. C:\Explore\SAS\Lesson9
102. C:\Explore\SAS\Lesson9\SAS_Codes
103. C:\Explore\stata-complex-surveys
104. C:\Explore\SUDAAN

Distinguish files from folders¶

In [148]:
import os
folder = r"C:\Explore\r-basics"
print("Contents of folder:")
for item in sorted(os.listdir(folder)):
    full_path = os.path.join(folder, item)
    if os.path.isdir(full_path):
        print(f"[DIR]  {item}")
    else:
        print(f"[FILE] {item}")

Contents of folder:
[DIR]  .git
[DIR]  BuiltInData
[DIR]  Data
[FILE] DataManipulation.R
[FILE] DatasetsInRPackages.R
[FILE] LICENSE
[DIR]  ManipulatingData
[DIR]  Misc_R_Code
[DIR]  R_Language_Concepts
[DIR]  ReadingDataIntoR
[FILE] ReadingWritingDataFiles.R
[DIR]  Resources
[DIR]  SASUsingRmakrdown
[FILE] Simple_index.html
[DIR]  SimulateData
[DIR]  UtilityTools
[FILE] Utility_tools.R
[DIR]  WorkingWithVectors
[FILE] dplyr_pgm.R
[DIR]  dput_dget
[FILE] index.html
[FILE] sapply_lapply.R

List the contents of the folder¶

In [15]:
import os

folder = r"C:\Explore\Python"

print("Contents of folder:")
for item in sorted(os.listdir(folder)):
    print(item)

Contents of folder:
.ipynb_checkpoints
.virtual_documents
BDM_incident_category_optimized_Updated12.py
BD_Census_Chart1.py
BD_Census_RC_Chart2.py
Concatenate_csv_files.py
Desscription_concatenate_pgm1.txt
Earlier_index.html
Extra_Pgms
FindCopyRenameHTMLFiles.py
Find_index_HTML.py
Generate_frequency_table.py
Incident_chart1_table.py
Incident_chart2_table.py
Keywords_list.py
Keywords_list_v3_SearchThemes.py
NonRecursiverFullPathFileNames.py
NonrecursiveResultsSavedInFile.py
PrintContensOfTheFolder.py
Program2_YT_Search_20260808_updated_revised_v3.py
PythonInstallationAuditReport.txt
Read_Excel_EMB_2025.py
Read_Excel_EMB_Aug31_Dec31_2024.py
RecursiveFilesSearch_rglob.py
RecursiveFullPathFileNames.py
RecusiveNonrecursivePathFiles.py
Test_conda.py
TreeFormatRecusrive.py
UnderstandPythonEnvironment.py
Untitled.ipynb
WhichPythonInterpreterSpyderUsing.py
Write_Output_To_File.py
Write_Output_To_File.txt
anaconda_projects
combine_census_charts.py
combine_incident_charts.py
concatenate_2025_df_updated2.py
conda_check.py
index.html
subset_df.py

Recursively print the full path of all .txt files¶

In [27]:
# Recursively print the full path of all .txt files

import os

folder = r"C:\Explore\PythonBDM_YouTube"

for root, dirs, files in os.walk(folder):
    for filename in sorted(files):
        if filename.lower().endswith(".txt"):
            print(os.path.join(root, filename))

C:\Explore\PythonBDM_YouTube\Spyder_Python_Console_08032026.txt
C:\Explore\PythonBDM_YouTube\Obsolete_YT_Python_Pgms\Python_console_log.txt
C:\Explore\PythonBDM_YouTube\Obsolete_YT_Python_Pgms\TopFiveVideos.txt
C:\Explore\PythonBDM_YouTube\Original_YT_PGMS\hashtags.txt

Recursively print the full path of a particular file¶

In [59]:
# Recursively print the full path of a particular file.
from pathlib import Path

# Root folder
root = Path(r"C:\Explore")

print(f"Searching under: {root}\n")

# Find all index.html files recursively
for file in root.rglob("index.html"):
    print(file)

Searching under: C:\Explore

C:\Explore\index.html
C:\Explore\DataHive\index.html
C:\Explore\HTML\index.html
C:\Explore\Python\index.html
C:\Explore\PythonBDM_YouTube\index.html
C:\Explore\r-basics\index.html
C:\Explore\SAS\index.html
C:\Explore\stata-complex-surveys\index.html
C:\Explore\SUDAAN\index.html
C:\Explore\DataHive\BDIndiaCensusHistorical\index.html
C:\Explore\DataHive\BDViolenceAgainstMinority\index.html

Non-recursively print the full path of all .R files - top folder only¶

In [67]:
# Non-recursively print the full path of all .R files - top folder only
import os
folder = r"C:\Explore\r-basics"
for filename in sorted(os.listdir(folder)):
    if filename.endswith(".R"):
        full_path = os.path.join(folder, filename)
        if os.path.isfile(full_path):
            print(full_path)

C:\Explore\r-basics\DataManipulation.R
C:\Explore\r-basics\DatasetsInRPackages.R
C:\Explore\r-basics\ReadingWritingDataFiles.R
C:\Explore\r-basics\Utility_tools.R
C:\Explore\r-basics\dplyr_pgm.R
C:\Explore\r-basics\sapply_lapply.R

Recursively print the folder structure and file names in a graphical tree format¶

In [156]:
# --------------------------------------------------------
# Recursively prints the folder structure and file names 
# in a graphical tree format
# --------------------------------------------------------

import os

# Root folder (already exists)
root_folder = r"C:\Explore\DataHive"

def print_tree(startpath, prefix=""):
    """
    Recursively prints the folder structure in a graphical tree format.
    """
    entries = sorted(os.listdir(startpath))  # Sort for consistent order
    for i, entry in enumerate(entries):
        path = os.path.join(startpath, entry)
        connector = "└── " if i == len(entries) - 1 else "├── "
        print(prefix + connector + entry)
        if os.path.isdir(path):
            extension = "    " if i == len(entries) - 1 else "│   "
            print_tree(path, prefix + extension)

# Display the folder tree
print(f"Folder structure under '{root_folder}':\n")
print_tree(root_folder)

Folder structure under 'C:\Explore\DataHive':

├── BDIndiaCensusHistorical
│   ├── Before_index.html
│   ├── Charts
│   │   ├── Combined_Population_Charts.pdf
│   │   ├── Percent_Hindu_BD_Muslim_India.pdf
│   │   ├── ReligiousComposition_Count.pdf
│   │   └── ReligiousComposition_Percent.pdf
│   ├── Obsolete_BD_India_index.html
│   └── index.html
├── BDViolenceAgainstMinority
│   ├── BDViolenceAM_Charts
│   │   ├── Combined_Incident_Charts.pdf
│   │   └── Combined_Incident_Charts.png
│   ├── BDViolenceAM_Reports
│   ├── BDViolenceAM_VideoResources
│   │   ├── YouTube_Videos_2024.html
│   │   ├── YouTube_Videos_2025.html
│   │   └── YouTube_Videos_2026.html
│   ├── DataTables
│   │   ├── 2023AndEarlier
│   │   ├── 2024
│   │   │   └── BD_MVictims_Aug21_Dec31_2024db.html
│   │   ├── 2025
│   │   │   └── BD_Minority_Victims_2025_dashboard.html
│   │   └── 2026
│   ├── GoogleNotebookLM_BDViolenceAM
│   │   ├── 2025_Anatomy_of_Persecution.pdf
│   │   ├── 2025_Bangladesh_Forensic_Dossier.pdf
│   │   └── 2025_Violence_Dashboard.mp4
│   ├── index.html
│   └── original_index.html
├── index.html
└── obsolete_index.html

Recursively locate anaconda_projects folders and print their paths¶

In [154]:
from pathlib import Path

root = Path(r"C:\Explore")

folders = [
    folder for folder in root.rglob("anaconda_projects")
    if folder.is_dir()
]

print(f"Found {len(folders)} folder(s):\n")

for folder in folders:
    print(folder)

Found 22 folder(s):

C:\Explore\Python\anaconda_projects
C:\Explore\PythonBDM_YouTube\anaconda_projects
C:\Explore\SAS\anaconda_projects
C:\Explore\SAS\Lesson1\anaconda_projects
C:\Explore\SAS\Lesson10\anaconda_projects
C:\Explore\SAS\Lesson11\anaconda_projects
C:\Explore\SAS\Lesson12\anaconda_projects
C:\Explore\SAS\Lesson13\anaconda_projects
C:\Explore\SAS\Lesson14\anaconda_projects
C:\Explore\SAS\Lesson15\anaconda_projects
C:\Explore\SAS\Lesson16\anaconda_projects
C:\Explore\SAS\Lesson17\anaconda_projects
C:\Explore\SAS\Lesson2\anaconda_projects
C:\Explore\SAS\Lesson3\anaconda_projects
C:\Explore\SAS\Lesson4\anaconda_projects
C:\Explore\SAS\Lesson5\anaconda_projects
C:\Explore\SAS\Lesson6\anaconda_projects
C:\Explore\SAS\Lesson7\anaconda_projects
C:\Explore\SAS\Lesson8\anaconda_projects
C:\Explore\SAS\Lesson9\anaconda_projects
C:\Explore\SAS\Lesson1\SAS_Codes\anaconda_projects
C:\Explore\SAS\Lesson2\SAS_Codes\anaconda_projects
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