Python Toolbox, 100 Scripts for Developers, Sari S., 2023

Python Toolbox, 100 Scripts for Developers, Sari S., 2023.

Фрагмент из книги:
Web scraping scripts are programs designed to extract data from websites. These scripts use various techniques to navigate through the structure of web pages, locate relevant information, and then retrieve and store that data for further use. Web scraping is commonly used for tasks such as data extraction, data mining, and content aggregation.




Text Processing.
Text Processing Scripts are computational tools designed to manipulate and analyze textual data using programming languages like Python or Java. These scripts can perform a wide range of tasks, from simple text cleaning and formatting to more complex operations like sentiment analysis, natural language processing, and information extraction. They are employed in various applications, such as data preprocessing for machine learning, content analysis for social media, and text summarization for information retrieval. Text Processing Scripts play a crucial role in automating and streamlining text-related tasks, enabling researchers, developers, and data scientists to efficiently handle and derive insights from large volumes of textual information across different domains.

Contents.
I. WEB SCRAPING.
Extract news headlines from a website.
Scrape product information from an e-commerce site.
Monitor and extract stock prices.
Scraping multilingual content for translation purposes.
Scrape weather forecasts for specific locations.
II. AUTOMATION.
Automate repetitive file management tasks.
Automate email sending with attachments.
Create a script to schedule and run tasks.
Automate data backup processes.
Build a script to automate software installations.
III. DATA ANALYSIS AND VISUALIZATION.
Analyze and visualize financial data.
Create graphs and charts for data presentations.
Analyze and visualize weather data.
Generate statistics from survey data.
Create word cloud visualizations from text data.
IV. IMAGE PROCESSING.
Crop and resize images.
Apply filters and effects to photos.
Create image thumbnails.
Extract text from images using OCR.
Watermark images with a logo or text.
V. TEXT PROCESSING.
Perform sentiment analysis on text data.
Build a script for text summarization.
Create a spell-checker or grammar checker.
Convert text to speech or speech to text.
Generate random text for testing purposes.
VI. FILE MANAGEMENT.
Sort and organize files in a directory.
Search for files with specific extensions.
Clean up duplicate files.
Monitor changes in file directories.
Rename files in bulk according to a pattern.
Chapter 31.
VII. SYSTEM MONITORING AND REPORTING.
Monitor system resource usage (CPU, memory, disk).
Generate daily/weekly reports on system statistics.
Monitor network traffic and generate reports.
Create a script to log and analyze system events.
Build a script to track and notify about system uptime.
VIII. GAMES AND ENTERTAINMENT.
Create a simple text-based game.
Build a script to generate random jokes or facts.
Design a quiz or trivia game.
Develop a script for generating random art.
Create a script to simulate rolling dice.
IX. UTILITY.
Calculate and convert units (e.g., currency exchange rates).
Create a script for generating strong passwords.
Build a simple calculator.
Convert between different file formats (e.g., PDF to text).
Implement a URL shortener.
X. NETWORK AND INTERNET.
Ping multiple hosts to check their status.
Monitor website availability and response times.
Retrieve and analyze website headers.
Create a port scanner to check for open ports.
Automate interactions with web APIs.
XI. SECURITY.
Encrypt and decrypt files.
Create a simple password manager.
Generate and verify digital signatures.
Build a script for secure file deletion.
Create a basic firewall rule manager.
XII. IOT AND HARDWARE CONTROL.
Build scripts to control Io T devices (e.g., lights, thermostats).
Monitor and display sensor data (e.g., temperature, humidity).
Control a robot or drone.
Capture and analyze data from webcams or cameras.
Create a script to interface with microcontrollers (e.g., Arduino).
XIII. AI AND MACHINE LEARNING.
Implement a basic machine learning model (e.g., linear regression).
Develop a simple chatbot using natural language processing.
Train a model for image recognition.
Create a recommendation system.
Build a script for sentiment analysis on social media data.
XIV. DATABASE.
Automate database backup and restore.
Generate and execute SQL queries.
Build a script for database migration.
Extract data from databases to CSV or Excel files.
Create a basic CRUD application.
XV. EDUCATION AND LEARNING.
Create flashcards for studring.
Build a script for math problem generation.
Develop a spelling or vocabulary quiz.
Implement a script for learning a new language.
Create a timer for productivity and focus.
About the Author.
Also by Serhan Sari.



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