Continuing my coding journey (Day 1 remains unwritten, perhaps forever!), I'm tackling a real-time user verification program to deter unauthorized access. It's a seemingly simple idea, but hear me out.
Intended Functionality:
The program discreetly runs upon system startup, periodically (e.g., hourly) prompting for a password. Crucially, it maintains high priority, preventing closure or minimization. Incorrect password entry results in system shutdown.
from tkinter import * import subprocess import threading import time import getpass # Added for secure password input window = Tk() window.title("User Verification") window.config(background="black") # Initialize password (should be replaced with a more secure method) q = getpass.getpass("Set initial password: ") entry = Entry(window, fg='#00FF00', bg='black', font=('Arial',30), show='*') # Mask password input entry.pack(side=RIGHT) def verify_user(): global q while True: y = entry.get() if y != q: subprocess.run('shutdown /s', shell=True) break # Exit the loop after shutdown else: print('Verification successful.') # Replace password here (securely!) q = getpass.getpass("Set new password: ") entry.delete(0, END) # Clear entry field time.sleep(3600) # Check every hour def start_verification(): verification_thread = threading.Thread(target=verify_user) verification_thread.daemon = True # Allow program to exit even if thread is running verification_thread.start() u = Button(window, text='Start Verification', # Changed button text fg='#00FF00', bg='black', command=start_verification) u.pack(side=BOTTOM) t = Label(window, text='Enter Password:', # Simplified label text font=('Arial',15), fg='#00FF00', bg='black') t.pack(side=LEFT) window.mainloop()
Planned Enhancements:
This is a rudimentary version. Future improvements include:
-
Dynamic Password Changes: Implement a secure method for changing the password after each successful verification. The current
getpass
module provides a start, but more robust password management is needed. - Background Threading: The code now uses a daemon thread to run the verification process in the background, allowing the main window to remain responsive (though minimally so).
Disclaimer: This is a basic example and lacks robust security features. Use at your own risk. For production-level security, use established authentication systems. Suggestions welcome (but no guarantees of responses!).
The above is the detailed content of DAY CODING JOURNEY). For more information, please follow other related articles on the PHP Chinese website!

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

NumPyallowsforvariousoperationsonarrays:1)Basicarithmeticlikeaddition,subtraction,multiplication,anddivision;2)Advancedoperationssuchasmatrixmultiplication;3)Element-wiseoperationswithoutexplicitloops;4)Arrayindexingandslicingfordatamanipulation;5)Ag

ArraysinPython,particularlythroughNumPyandPandas,areessentialfordataanalysis,offeringspeedandefficiency.1)NumPyarraysenableefficienthandlingoflargedatasetsandcomplexoperationslikemovingaverages.2)PandasextendsNumPy'scapabilitieswithDataFramesforstruc

ListsandNumPyarraysinPythonhavedifferentmemoryfootprints:listsaremoreflexiblebutlessmemory-efficient,whileNumPyarraysareoptimizedfornumericaldata.1)Listsstorereferencestoobjects,withoverheadaround64byteson64-bitsystems.2)NumPyarraysstoredatacontiguou

ToensurePythonscriptsbehavecorrectlyacrossdevelopment,staging,andproduction,usethesestrategies:1)Environmentvariablesforsimplesettings,2)Configurationfilesforcomplexsetups,and3)Dynamicloadingforadaptability.Eachmethodoffersuniquebenefitsandrequiresca

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Chinese version
Chinese version, very easy to use

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.
