Ingo Lange
@ingosview
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Building MARA - a SaaS to reply to feedback more efficiently. 💻 Adventure-seeking skydiver and digital nomad on a mission to see the world. 🪂🏝️
Mannheim, Germany
Joined November 2022
📝🐍 Want to make your asynchronous code more testable and maintainable? Use 'asyncio.create_task' in #Python's 'asyncio' module to run coroutines concurrently! 🔥
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📝🐍 Take your asynchronous code to the next level with the 'async with' statement in #Python's 'asyncio' module! 🚀 It automatically manages the lifecycle of coroutines and resources.
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📝🐍 #PythonTip: Improve the performance and scalability of your code by using the 'asyncio' module to write asynchronous code with coroutines and event loops! 🚀
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Take a quick break and battle other programmers in mini coding challenges with Clash of Codes at Perfect for 15 minute fun breaks! #coding #programming #gamers 🤓
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📝🐍 Format your logging messages to meet your needs with the 'logging' module in #Python! 💻 Use formatters to customize the output with timestamps, log levels, and more.
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📝🐍 Improve your logging in #Python with handlers from the 'logging' module! 🤝 Use them to route messages to different destinations like files or email.
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📝🐍 Take your logging to the next level with the 'logging' module in #Python! 🚀 Use log levels to categorize your messages and filter them based on severity.
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📝🐍 Sending complex Python objects over the network? Use 'pickle' to serialize them into bytes and transmit them as binary data! 📡🤝 #PythonTip
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📝🐍 Do you want to save a complex Python object to disk? Use 'pickle' to serialize it and save it as a file! 📁🔒 #PythonTip
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📝🐍 #PythonTip: Want to exchange data between Python and other systems? Use the 'json' module to easily serialize and deserialize JSON data! 🔀
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📝🐍 Take your code to the next level with 'reduce' from the 'functools' module in #Python! 🚀 It allows you to perform operations on a sequence and return a single value.
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📝🐍 Want to simplify your code and improve performance? Try using 'partial' from the 'functools' module to create higher-order functions in #Python! 🔥
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🐍📝 #PythonTip: Counter from 'collections' module is a convenient way to count the occurrences of items in a list, dictionary, or any iterable. 🤯
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🐍📝 #PythonTip: Counter from 'collections' module is a convenient way to count the occurrences of items in a list, dictionary, or any iterable. 🤯
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🐍📝 #PythonTip: OrderedDict from 'collections' module remembers the order of items insertion, making it useful for dictionaries that depend on order. 🤔
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🐍📝 #PythonTip: Use deque from 'collections' module to efficiently append and pop items from both ends of a list. It's faster than a normal list for large amounts of data. 🚀
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🐍📝 #PythonTip: Use the 'tee' function in the 'itertools' module to create multiple independent iterators from a single source. It's a memory-efficient way to work with parallel processing! 🚀🚀 #Python #ParallelComputing
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🐍📝 #PythonTip: Use the 'cycle' function in the 'itertools' module to create an infinite iterator from a sequence. It's perfect for looping indefinitely! 🔄🔄 #Python #Generators
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🐍📝 #PythonTip: Use the 'chain' function in the 'itertools' module to combine multiple iterables into a single sequence. It's simple and efficient! 🔗🔗 #Python #Iterators
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🐍📝 #PythonTip: Use the 'with' statement with the 'contextlib' module to create a resource manager. It guarantees resource closure even on errors or exceptions. 🔒🔑 #Python #ContextManagers
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