🚀 Lambda Functions (Anonymous Functions) (Python) Lambda functions are small, anonymous functions defined using the `lambda` keyword. They can take any number of arguments but can only have one expression. Lambda functions are often used in situations where a small function is needed for a short period, such as with `map`, `filter`, and `sort`. They provide a concise way to define simple functions without the need for a formal function definition. #Python #PythonDev #DataScience #WebDev #professional #career #development
Python Lambda Functions: Anonymous Functions for Data Science and Web Dev
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🔄 Moving beyond REST? Learn how to build and deploy a flexible #GraphQL server using #Python, #Flask, and #SQLAlchemy, all on top of #InterSystemsIRIS 👇 https://lnkd.in/d7RBJkNV Modernize your #API strategy with GraphQL today!
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🚀 Using try...except Blocks (Python) The `try...except` block is the foundation of exception handling in Python. The `try` block encloses the code that might raise an exception. If an exception occurs within the `try` block, the corresponding `except` block is executed. You can specify the type of exception you want to catch in the `except` clause (e.g., `ValueError`, `TypeError`, `IOError`). This allows you to handle different types of errors in different ways. If no exception occurs, the `except` block is skipped. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development
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One Python line that quietly hurts performance: 🪫👀 “if x in my_list:” It looks innocent and works perfectly—until my_list grows. Why it matters: • Set lookup → O(1) • List lookup → O(n) Many performance problems don’t start with bad code, but with “It works, so it’s fine.” In Python, choosing the right data structure is a design decision, not an implementation detail. #Python #Performance #SoftwareEngineering #CleanCode
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Day 25 of 100 Days of Python — match–case (Python 3.10) Today I explored match–case (Python 3.10+), a powerful way to handle multiple conditions with clean, readable logic. Why it’s useful in real projects: ✅ Replaces messy if–elif chains ✅ Improves readability & maintainability ✅ Great for menus, commands & status handling ✅ Makes code feel more production-ready Key takeaway: match–case helps write clean, scalable, and professional Python code 🚀 💬 Would you use match–case in real projects, or stick with if–elif? Let’s discuss 👇 #Python #PythonDeveloper #BackendDevelopment #SoftwareEngineering #LearningInPublic #CodingJourney #TechCareers #100DaysOfPython
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🚀 Dictionaries: Key-Value Pairs (Python) Dictionaries are unordered collections of key-value pairs. They are defined using curly braces `{}`. Keys must be unique and immutable (e.g., strings, numbers, or tuples), while values can be of any data type. Dictionaries are highly efficient for looking up values based on their keys. They are widely used for representing structured data and implementing mappings. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development
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Master web scraping for dynamic sites with 'load more' and infinite scroll. This 2026 guide provides actionable Python techniques to automate data extraction and overcome modern challenges. Unlock the web's full potential. [Read More] #WebScraping #DataExtraction #Python #Selenium https://lnkd.in/dN4TA_UB
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Most Python code runs on one core — even if your machine has 8, 12, or 16. That’s fine… until your script starts taking forever 😪 ✨Multiprocessing✨ can change that! But here’s the catch: it's often misunderstood, misused, or missed entirely. This post isn’t just “how it works.” It’s about when it actually helps, what to avoid, and how it compares to the other options — threading and asyncio. You’ll leave knowing when not to reach for multiprocessing — which is just as important. 📎 Link in comments to get the full breakdown! (with code examples and real use cases) #Python #SoftwareEngineering #CodePerformance #DataEngineering #PythonTips #ScalableCode #BackendDevelopment #HighPerformanceComputing #AsyncProgramming #DeveloperInsights #StrataScratch
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Want to reverse a #Python sequence (string/list/tuple)? Use a 3-argument slice: s[::-1] This works because: - Empty start means "from the start" - Empty end means "through the end" - Step size of -1 means "go back 1 each time" This returns a new value, from s's end to its start.
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🚀 Understanding Module Search Path (Python) When you import a module, Python searches for it in a specific order: the current directory, directories listed in the `PYTHONPATH` environment variable, and installation-dependent default directories. You can inspect the search path using `sys.path`. Understanding this path is crucial for resolving import errors and ensuring your modules are found. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development
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🚀 Writing to a File (Python) Writing to a file in Python involves using the 'w' or 'a' modes. The 'w' mode overwrites the file if it exists, while the 'a' mode appends to the end of the file. The `write()` method writes a string to the file. It's important to handle potential exceptions, such as `IOError`, when writing to a file. Remember to explicitly close the file or use the `with` statement to ensure changes are saved and resources are released. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development
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