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41/50 Code sample: 🖥️ Illustrates writing a simple test case using pytest to verify the correctness of the add() function. 🧪✅ #PythonAdvanced #TestingExample
49/50 Code sample: 🖥️ Illustrates using NumPy to calculate the mean, standard deviation, and correlation coefficient of a dataset. 🧪📊 #PythonAdvanced #ScientificComputingExample
37/50 Code sample: 🖥️ Illustrates creating a NumPy array, converting it to a Pandas DataFrame, and plotting the data using Matplotlib. 📊📈📉 #PythonAdvanced #DataAnalysis
47/50 Code sample: 🖥️ Demonstrates making a GET request to an API endpoint, retrieving JSON data, and printing it. 🌐🔍 #PythonAdvanced #Python #API
Dive deep into Python metaprogramming with custom metaclasses. Create dynamic behaviors at the class creation level. Advanced, yet powerful! #PythonAdvanced #MetaProgramming #Python #pythonprogramming
33/50 Code sample: 🖥️ Shows creating a setup.py file for a project, building a distributable package, and installing it using pip. 📦🔧 #PythonAdvanced #PackagingExample
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42/50 🌟 Advanced Topics: Profiling and optimizing Python code: Techniques to measure and improve the performance of your Python programs. Profiling tools like cProfile and optimization techniques can help identify bottlenecks and optimize code. #PythonAdvanced #Optimization
45/50 Code sample: 🖥️ Shows a basic Flask application with route definitions and rendering a template for the "/about" page. 🌐💻 #PythonAdvanced #FlaskExample
44/50 🌟 Advanced Topics: Python and the web: Frameworks like Flask and Django enable building web applications with Python. They provide tools and features for routing, templating, database integration, and more. #PythonAdvanced #WebDevelopment
50/50 🌟 Machine learning with Python: Libraries like scikit-learn and TensorFlow enable building and training machine learning models. They provide tools and algorithms for various tasks like classification, regression, and deep learning. #PythonAdvanced #MachineLearning
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PyPI announces mandatory use of 2FA for all software publishers. #Python #pythonprogramming #PythonAdvanced #2fa #Software #publishers bleepingcomputer.com/news/security/…
34/50 🌟 Advanced Topics: Python concurrency libraries: Libraries that provide higher-level abstractions for concurrent programming. Examples include asyncio, concurrent.futures, and gevent, offering different approaches to handle concurrency. #PythonAdvanced
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