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🐍 10 Python Scripts That Will Save You Hours Every Week!!
- Python scripts that can save you time and energy by automating tasks.
- Includes scripts for bulk renaming files, merging PDFs, extracting text from PDFs, resizing images, making notes, Pomodoro timer, generating passwords, summarizing text, cleaning up downloads folder, and getting daily motivation quotes.
- Python scripts cover a wide range of tasks from file management to productivity tools.
- Bonus tip: Use Streamlit to easily turn these scripts into user-friendly apps with buttons and sliders.
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RealPython
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Nested Loops in Python
- Nested loops in Python involve placing one loop inside another, enabling iteration over multiple sequences or repeated actions.
- Use cases for nested loops include handling multidimensional data, generating patterns, and performing tasks with multiple layers of iteration.
- You can break out of nested loops using the break statement when a specific condition is met.
- Disadvantages of nested loops include potential performance bottlenecks, poor readability, and variable scoping issues.
- Nested loops are essential for working with complex data structures and optimizing code efficiency.
- Python offers for loops and while loops as primary loop types for iterating over sequences.
- Creating nested loops involves placing one loop inside another to handle multidimensional data efficiently.
- An example of nested loop syntax in Python is using an outer loop iterating over an iterable, with an inner loop inside.
- Nested loops can be compared to clock hands moving at different speeds but working together to complete different cycles.
- Practical examples of nested loops include printing patterns, generating visual displays, and handling complex iterations.
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Medium
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125
Title: I Built a Python Calculator (Now With a Percentage Finder!) — Here’s What I Learned
- The article discusses the author's experience of building a Python calculator with a percentage finder to solve real problems while learning Python.
- The calculator can perform basic operations like addition, subtraction, multiplication, and division, along with the added functionality of calculating percentages.
- Through this project, the author learned the power of functions, the importance of handling user input carefully, and the significance of making the calculator user-friendly.
- The author plans to work on a unit converter and solving Project Euler problems using math and Python in the future, emphasizing the importance of starting with simple projects and gradually improving.
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Medium
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273
"Python Strings: 6 Mind-Blowing Hacks Every Developer Should Steal "
- Strings are essential in various aspects of coding, from user input to data processing.
- Top 6 string methods include: upper(), lower(), strip(), split(), replace(), find(), and join().
- Pro Tips for mastering strings: Python's string methods are powerful tools akin to Swiss Army knives—compact yet effective.
- To enhance your programming skills with Python strings, delve into the official documentation for experimentation and improvement.
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Dev
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201
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Build a Streamlit App to Find the Closest CSS Color Name Using Python 🎨✨
- Build a Streamlit app to find the closest official CSS color name for any color chosen.
- Tools used include Streamlit, matplotlib, and Python standard library.
- The app converts selected colors to RGB values, compares them to CSS4 colors, and displays the closest match.
- Future enhancements may include image upload for dominant colors, showing top 5 closest CSS colors, and color harmony suggestions.
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PlanetPython
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Ari Lamstein: Course Review: Build AI Agents with Python
- The author waited to explore LLMs due to focusing on developing software engineering expertise in Python first.
- After completing a project, the author reviewed Kevin Markham's course 'Build AI Agents with Python', a follow-up to his LLM course.
- Foundational models like GPT-4o mini have limitations, including restricted knowledge up to a specific date and no access to the internet.
- 'Build AI Agents with Python' focuses on augmenting foundational models with tools like Tavily for web search to provide better answers.
- The course also covers integrating custom data sources using Retrieval Augmented Generation (RAG) and building a Q&A system for SQL databases.
- Although the course lacks exercises, the author appreciates Kevin's clear explanations and wishes exercises were included for better learning.
- After the course, the author plans to apply the learnings by adding an LLM feature to their Covid Demographics Explorer project.
- Integrating a chatbot using natural language to interact with the dataset for answering user queries is among the author's next steps.
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Medium
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300
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How to Build a Personal Finance App with Python
- Building a personal finance app with Python is a great way to combine finance and programming for beginners.
- Python is versatile, beginner-friendly, and commonly used in finance for budgeting, investment tracking, and data analysis.
- Creating a personalized finance app allows customization for tasks like tracking monthly budgets or monitoring investments.
- Coding provides a sense of control over tools and data, promoting financial independence and skill development.
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Dev
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255
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My Early Python Journey: Small Wins, Big Motivation 🚀🐍
- The author shares their early journey with Python, emphasizing the value of celebrating small victories in coding.
- The author tackled problems like even or odd number checker, reversing a string, counting vowels, Celsius to Fahrenheit converter, and word count in a sentence.
- Through these challenges, the author learned important coding principles and techniques, such as if-else conditions, string manipulation, and input validation.
- The author highlights the significance of small wins in building confidence and a strong foundation for tackling more advanced coding challenges.
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Medium
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854
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What Are Python Modules? A Beginner’s Guide to Writing Cleaner Code
- A Python module is a .py file that contains code which can be imported and reused in other scripts.
- Using modules helps in organizing code, avoiding duplicate functions, and keeping code cleaner.
- Modules can be easily imported if in the same folder or using relative/absolute imports if in different folders.
- Breaking code into modules improves reusability, testing, and debugging in larger projects.
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Dev
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264
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Building Your First Real Time Chat Connection with Python and WebSockets
- Real time communication is a defining feature of modern applications, and WebSockets play a crucial role in enabling this instant data transfer between clients and servers.
- Python, in combination with FastAPI, provides an efficient, clear, and scalable way to create WebSocket servers for real-time messaging systems.
- FastAPI allows easy definition of WebSocket endpoints for message exchange between server and browser, while the browser's built-in WebSocket API facilitates connection establishment and real-time data transfer on the frontend.
- A minimal implementation involves a FastAPI server with a WebSocket route, a simple HTML page with a JavaScript WebSocket client, and functionality to send and display messages for immediate two-way communication.
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Dev
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385
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Detecting SSH Brute Force Attacks with Python: Building a Simple Monitor
- Brute force SSH attacks pose a common threat to internet-exposed servers by guessing login credentials.
- Python can be used to detect brute force attacks by monitoring authentication logs and tracking failed login attempts.
- Building a Python-based SSH brute force monitor strengthens Python skills and understanding of security threats.
- Monitoring SSH authentication logs helps detect abuse patterns like multiple failed login attempts from the same IP.
- Python scripts can analyze log files, extract relevant information using regular expressions, and track failed attempts.
- The monitoring logic involves identifying failed login entries, counting attempts per IP, and flagging suspicious activity.
- Enhancements to the monitor can include features like GeoIP lookup, whitelisting, firewall integration, and email alerts.
- By adding features like time window tracking, concurrency, and success correlation, the monitor becomes more powerful.
- Understanding attack origin, tactics, and frequency is key to improving response strategies against brute force attacks.
- Building an SSH brute force monitor is a valuable project to enhance Python skills and gain practical cybersecurity experience.
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Dev
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71
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Building a Gold (XAUUSD) Trend Tracker with Python and SQLite
- XAUUSD represents the cost in US dollars to purchase one ounce of gold in Forex trading.
- Gold can be bought physically at banks or from dealers and is often used by governments to safeguard currency value.
- XAUUSD is not tied to any specific nation, economy, or business, making it globally significant.
- The project involves building a Gold (XAUUSD) trend tracker using Python and SQLite for data storage.
- The extraction, transformation, and loading (ETL) process is crucial for analyzing and visualizing data.
- TwelveData forex API is used to extract raw XAUUSD data in JSON format.
- Pandas library is utilized for data transformation, including calculating moving averages and labeling market conditions.
- SQLite is employed for loading the transformed data into a database for further analysis or presentation.
- The ETL pipeline involves retrieving data, transforming it, and storing it in a SQLite database for easy access.
- The project showcases how to handle financial data from APIs, manipulate it, and store it efficiently for analysis.
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Dev
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421
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🧪 How I Use Python as My Developer Glue Language
- Developers can use Python as a versatile glue language to streamline their workflows and automate tasks effectively.
- By replacing scattered scripts and build tools with Python, developers can create a unified ecosystem.
- Python serves as a bridge between various tools like Bash scripts, Docker, Makefiles, and Jenkins, enhancing their interoperability.
- Benefits of using Python as a glue language include cross-platform compatibility, access to rich libraries, and the ability to write unit tests for build pipelines.
- Python offers inline CLI tool wrapping, making it easy to manipulate and react to output within Python scripts.
- A real-world example demonstrates how a build system in Python can be cleaner, reusable, and testable compared to traditional Makefiles.
- Developers can leverage Python to create a unified format conversion tool for tasks like converting YAML to JSON or CSV to dictionaries.
- Debugging DevOps workflows in Python is more enjoyable and efficient compared to debugging complex Bash scripts.
- Python can be used for tasks like CLI parsing, scheduling, API calls, file IO, format conversion, CLI output, and testing in a DevOps stack.
- Overall, Python can serve as a comprehensive operating system for tasks ranging from file operations to web APIs, offering testability, portability, and sanity.
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Medium
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399
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Python Project: Create a Piano Tiles bot
- Python enthusiasts can create a Python bot to play Piano Tiles on any online website as a fun project to boost their skills.
- The step-by-step tutorial guides users through building the bot, offering a hands-on experience in game automation while deepening Python knowledge.
- The tutorial requires a basic understanding of Python syntax, including variables, loops, and conditional statements, making it beginner-friendly.
- Users need to set up the required Python modules by executing specific commands in their terminal to begin the project.
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