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Advanced Array Manipulation Techniques in Python
- Advanced Array Manipulation Techniques in Python without using built-in functions or shortcuts like reversed() or slicing.
- Problem One: Reversing an array in-place using two pointers and swapping values until fully reversed.
- Code snippet provided for reversing an array in-place.
- Problem Two: Rotating an array anti-clockwise by k steps with detailed breakdown and code snippet for in-place rotation.
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PlanetPython
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Zato Blog: Using Oracle Database from Python and Zato Services
- Oracle Database is a vital component of enterprise IT, and integrating it with Python offers automation, reporting, and API capabilities.
- Connecting to Oracle Database from Python enables tasks such as automating business processes and running analytics.
- Zato services allow for easy integration with Oracle Database, with SQL connections configured in the Dashboard.
- Service logic in Zato is organized into dedicated services, enhancing clarity, reusability, and maintainability.
- SQL objects like tables and stored procedures are fundamental in leveraging Oracle Database within Python and Zato services.
- Examples provided in the article demonstrate querying users, calling stored procedures with input/output parameters, and handling multiple rows.
- Parameterized queries are highlighted as a best practice to prevent SQL injection and maintain code clarity.
- Key concepts such as connection management, calling procedures, and service separation are explained for effective Oracle Database usage.
- Security and best practices emphasize using parameterized queries, secure credential management, error handling, and connection pooling.
- Overall, integrating Oracle Database with Python and Zato services empowers users to build APIs, automate processes, and connect enterprise data sources securely and efficiently.
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Dev
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1.2k
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How to Scrape Amazon Influencer Links Using Python?
- Web scraping Amazon influencer links can be complicated due to dynamic content like SiteStripe banners on product pages.
- Challenges include missing elements due to JavaScript rendering and discrepancies in scraped HTML based on session and cookies.
- To effectively scrape Amazon influencer links, ensure proper authentication and session handling.
- Consider using tools like Selenium to handle dynamically loaded content for accurate data extraction.
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Dev
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99
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How to Fix PydanticSchemaGenerationError with Nested DefaultDict in Python?
- The PydanticSchemaGenerationError can occur due to nested defaultdict types in Pydantic models.
- Pydantic struggles with inferring default factories for complex types like nested defaultdict with dictionary keys not among the supported types.
- To resolve this, you need to set explicit default factories for each level of the nested defaultdict in your Pydantic model.
- By following the step-by-step solution provided, you can update your Pydantic model with proper default factories and test the implementation to avoid the schema generation error in Python.
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Dev
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63
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What Are Today’s Top Movie Plots? I Wrote a Python Scraper to Find Out
- A Python scraper was built to analyze the plots of today's top movies by pulling data from IMDb.
- The script gathers plot summaries of the top 25 movies, creates word clouds to visualize common themes, and offers insights into popular genres.
- Skills acquired include data cleaning with NLTK, web scraping using requests and BeautifulSoup, and data visualization with WordCloud and matplotlib.
- The project also focused on handling website quirks, avoiding anti-bot measures, and being considerate by using time.sleep() to avoid overloading IMDb's servers.
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Dev
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216
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Learning Python by Teaching Your Computer to Be Petty and Petty Good at It
- Learn Python by creating a program that tracks and shames you for overusing certain apps like Slack, YouTube, Steam, etc.
- The program involves file handling, scheduling tasks, conditional logic, and notifications, providing practical Python script-building experience.
- Using the psutil library, the script monitors the activity of specific programs and updates a count in a JSON file.
- It includes a feature to issue humorous notifications when app usage crosses a certain threshold.
- The script can be scheduled to run automatically using the 'schedule' module in Python.
- The project highlights tracking app usage, creating persistent counters, and using humor to aid learning.
- The article suggests exploring more Python projects, setting usage limits, building dashboards, and integrating with APIs like Twitter.
- Learning through practical, humorous projects can help solidify Python skills and solve real-world problems in creative ways.
- The article also mentions resources for Python developers and encourages building projects that align with personal interests.
- The final message is to keep learning, coding, and exploring unique Python projects that combine humor and productivity.
- The author shares insights on using Python to build tools that encourage productivity in a playful manner.
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Medium
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157
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Building a Real-Time API Token Leak Detection and Response System Using Python
- API tokens are at risk of exposure through application logs, browser consoles, source code repositories, and error monitoring tools.
- Building a real-time API token leak detection and response system involves scanning log streams, detecting tokens using regex and ML scoring, sending alerts, auto-revoking leaked tokens, maintaining a dashboard, and sending events to various platforms.
- The system can be integrated with Slack, Microsoft Teams, SIEM platforms, and other tools for monitoring and responding to token leaks promptly.
- Implementing this system using Python can enhance security practices and help in safeguarding organizations against financial and reputational damage from data leaks.
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Medium
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37
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7 Confusing Python Code Snippets (And Why They Make Sense)
- Python code snippets that may seem confusing at first glance are actually features.
- Exploring 7 mind-bending Python snippets that challenge the understanding of developers.
- One example involves tuple unpacking where a seemingly strange line of code actually works as intended.
- The article delves into how Python interprets code snippets that appear buggy but have logical explanations.
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Dev
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288
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How Does GenerateCode.dev Work? A Python Example
- GenerateCode.dev is a platform that assists developers in effortlessly generating code snippets.
- It utilizes advanced algorithms and artificial intelligence to streamline the code generation process.
- Developers can make API requests to GenerateCode.dev to receive Python code samples by following a simple process.
- Using GenerateCode.dev saves time, enhances learning, and encourages experimentation in coding.
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Medium
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148
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5 Free Resources to Learn Python
- Python is a beginner-friendly language with various applications in software engineering like web development and AI.
- Learning Python can be empowering and life-changing, offering the ability to create a desired lifestyle.
- Several free resources exist for learning Python without expensive courses or bootcamps.
- Harvard’s CS50 Intro to Python course contains modules with lecture transcripts, notes, and problem sets.
- Google’s Python class includes guides, video lectures, and coding exercises for mastering Python basics.
- Automate the Boring Stuff with Python, an online book, teaches coding basics and automation projects in Python.
- Al Sweigart's resources and the official Python documentation tutorial are recommended for learning.
- YouTube offers tutorials and courses for learning Python, such as Corey Schafer's videos.
- Practicing coding exercises independently is crucial for solidifying Python programming skills.
- Continuous practice and project-building are key to mastering Python and becoming a proficient programmer.
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Dev
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365
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Most Overpowered Python Scripts You’ve Never Heard Of
- The article unveils hidden Python scripts that deviate from conventional usage, including black-hat scraping, AI thought scaffolding, and game-playing bots trained through reinforcement learning.
- Scripts automate tasks like scraping data with stealth and using GPT classifiers for analysis, often earning freelancers substantial income by selling market trend data.
- Some developers leverage Python not just for AI implementation but as a 'thought engine' for idea breakdown and strategic planning, enhancing creativity and problem-solving.
- Certain Python scripts enable gameplay automation, with bots learning to excel in various systems beyond gaming, such as e-commerce, social media, and trading platforms.
- Python bots automate lucrative tasks like domain flipping, NFT reselling, and crypto arbitrage, emphasizing the potential for passive income generation but also the risks involved.
- Python developers craft compact yet powerful applications mimicking full SaaS platforms, demonstrating the language's transformative potential in simplifying complex functionalities.
- The article emphasizes Python's evolution into a versatile tool capable of simulating conversations, extracting profits, self-improving, and even replacing entire startups with minimal code.
- It encourages readers to explore and experiment with these innovative script ideas to solve problems creatively, with Python acting as a catalyst for impactful change.
- Additionally, the article recommends intriguing courses on computing, tech history, and programming esoterica for those eager to delve deeper into the tech realm.
- Lastly, a featured GitHub database offers over 7,000 projects for AI tools, startup launch ideas, and product inspiration, providing a wealth of opportunities for tech enthusiasts.
- The content spans underground Python script revelations, unconventional AI utilization, and novel approaches to automation for diverse applications, showcasing Python's robust versatility.
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Hackingblogs
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13
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MacOS Malware Alert: Python-Based Infostealer Bundled via PyInstaller
- Researchers at Jamf Threat Labs discovered a MacOS malware using PyInstaller to distribute infostealer malicious software meant to steal confidential data.
- The malware prompts users for their password through an AppleScript dialog and communicates with suspicious domains like 'connect' patterned sites.
- PyInstaller is a tool for converting Python scripts into standalone executables that include all necessary components without requiring Python installation.
- Static analysis revealed the ad-hoc signing, architecture support for Intel and Apple Silicon Macs, and the use of PyInstaller in the malware file.
- Dynamic analysis using Mac Monitor exposed malicious activities like password prompts, volume reduction, Python script unpacking, and private information gathering.
- The malware's capabilities include password theft, AppleScript execution, Keychain credential extraction, and cryptocurrency wallet information theft.
- Attackers are increasingly using PyInstaller to cloak malware, as evidenced by the growing prevalence of infostealers on MacOS.
- Indicators of Compromise (IOCs) for the MacOS malware include filenames like stl, stl-deobf.py, installer, and sosorry, along with contacted domains.
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Dev
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293
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DIY Python Web Scraping Tool: Proxy IP Management and Optimization Tips
- Web scraping is a powerful technique for gathering data from websites, with challenges in managing proxy IPs.
- Using proxies is essential to avoid IP bans, access geolocation-restricted content, and provide anonymity.
- Setting up a DIY Python web scraping tool involves installing necessary libraries and defining proxies in requests.
- Best practices include rotating proxies, testing proxy health, using proxy services like IP2World, rate limiting, and error handling.
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17 Likes
Medium
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370
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Using Python to Extract Text from Audio
- Python provides various libraries for audio processing, including pydub, librosa, wave, and soundfile.
- The SpeechRecognition library is commonly used for converting speech to text in Python, supporting multiple backends.
- Vosk is a lightweight speech recognition engine that works offline and supports WAV, MP3, and FLAC audio formats.
- Vosk can run on different platforms without requiring GPU acceleration, making it suitable for devices like laptops, Raspberry Pi, and mobile devices.
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Dev
1M
420
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How to Write Python Code Compatible with Both Python 2 and 3?
- When working on a project that requires compatibility with both Python 2 and Python 3, understanding key differences is crucial.
- Common compatibility issues include differences in print statements, integer division, string handling, module imports, and dictionary iteration.
- Best practices for compatibility include using future imports, utilizing the six library, leveraging compatibility libraries, and regular testing.
- Tools like futurize, modernize, and continuous integration services can assist in identifying and resolving compatibility issues.
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