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    4,202 位关注者

    ????????????? ???????????? ???????? ?????????????? ???????? ?? ?????? ??????????! ?????? Learning Python doesn’t always have to be serious! Here's a visual guide to some essential Python list methods, explained through burgers, fries, and drinks. ?? Let’s break it down: ??.????????????(??) → Add an item to the end of the list. ???? becomes ??????. ??.??????????() → Removes all items from the list. ???? turns into an empty list. ??.??????????(??) → Counts how many times an item appears in the list. ?????? returns 2 for ??. ??.????????() → Makes a copy of the list. ???? becomes ???? (now there are two lists). ??.??????????(??) → Finds the index of the first occurrence of an item. ?????? returns 2 for ??. ??.????????????(1, ??) → Inserts an item at a specific position. ???? becomes ??????. ??.??????(3) → Removes the item at a specified position. ???????? becomes ??????. ??.????????????(??) → Removes the first occurrence of the specified item. ?????? becomes ????. ??.??????????????() → Reverses the order of the list. ???? becomes ????. These methods are key to managing and manipulating lists in Python, which is one of the most fundamental skills for any aspiring coder or data scientist. ?? Want to take your Python skills to the next level? Start exploring these methods today! #python #programming

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  • 查看Python的组织主页

    4,202 位关注者

    ?? ?????????????????? ???????????? ???????? ???????????????? ??????????????! ?? Whether you're just starting with Python or looking to advance your skills, having a structured roadmap is key to mastering the language. Here’s a comprehensive guide to help you navigate through the different stages of Python proficiency: ??.????????????: Start with Python's core features like syntax, variables, conditionals, and functions. These fundamentals will set the foundation for everything else. ??.??????????????: Take it up a notch with advanced topics like List Comprehensions, Generators, and Lambda functions. Mastering these will significantly improve your coding efficiency. ??.???????? ???????????????????? & ???????????????????? (??????): Dive into arrays, linked lists, recursion, and sorting algorithms. Essential for coding interviews and understanding how data is organized. ??.????????????-???????????????? ?????????????????????? (??????): Learn the importance of classes, inheritance, and methods (including Dunder Methods). This is vital for building scalable applications. ??.???????? ??????????????: Libraries like NumPy, Pandas, and Matplotlib are must-knows for anyone interested in data analysis or machine learning. Scikit-learn, TensorFlow, and PyTorch will help you further your knowledge in AI and ML. ??.?????????????? ????????????????: Tools like PyPI, pip, and conda make managing Python libraries a breeze. Ensure you're comfortable using these to manage dependencies in your projects. ??.?????? ????????????????????: Build powerful web applications with Django, Flask, FastAPI, and Tornado. These frameworks are widely used for backend development. ??.????????????????????: Whether it’s file manipulation, web scraping with BeautifulSoup or Scrapy, or GUI automation with PyAutoGUI, Python excels in automating repetitive tasks. ??.??????????????: Don’t forget to test! From unit testing (unittest, pytest) to end-to-end testing (Selenium, PyAutoGUI), ensure your code is bug-free and ready for deployment. This roadmap can help you structure your Python learning journey, whether you aim to become a web developer, data scientist, or automation expert! #python #programming

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  • 查看Python的组织主页

    4,202 位关注者

    ???????????? ???????? ?????????? ?????????????????? ??????????????????!!! 1?? ???????????? + ???????????? = ???????? ???????????????????????? Easily clean, transform, and analyze your data. Pandas offers robust data structures like DataFrames, making it essential for any data analyst. 2?? ???????????? + ???????????????????? = ???????? ???????????????? Build and train neural networks efficiently. TensorFlow provides a comprehensive platform for developing and deploying machine learning models. 3?? ???????????? + ???????????????????? = ???????? ?????????????????????????? Create informative and attractive visualizations. Matplotlib is the foundation for many plotting libraries, helping you turn data insights into charts and graphs. 4?? ???????????? + ???????????? = ?????? ?????????????????????? Develop robust and scalable web applications quickly. Django’s high-level framework supports rapid development and clean design. 5?? ???????????? + ?????????? = ?????????????????????????? Build lightweight web applications and APIs. Flask is a micro-framework that offers simplicity and flexibility for small to medium-sized projects. 6?? ???????????? + ???????? = ?????????????? ???????????????? ???????????????????? Process and analyze text data. NLTK (Natural Language Toolkit) provides tools for working with human language data, supporting tasks like classification and tokenization. 7?? ???????????? + ?????????? = ?????????????????? ?????????????????????? Perform mathematical and statistical operations with ease. NumPy’s powerful n-dimensional array objects are essential for scientific computing. 8?? ???????????? + ????????????-?????????? = ?????????????? ???????????????? Implement machine learning algorithms easily. Scikit-Learn provides efficient tools for data mining and analysis, built on NumPy, SciPy, and Matplotlib. 9?? ???????????? + ???????????????? = ???????? ???????????????? Simplify HTTP requests. Requests allow you to send HTTP/1.1 requests, providing a wide range of functionalities to interact with web services. ?? ???????????? + ?????????????? = ???????? ???????????????? Similar to TensorFlow, PyTorch offers a dynamic computational graph and user-friendly API, making it popular among researchers for deep learning tasks. 1??1?? ???????????? + ???????????? = ?????? ???????????????? Efficiently extract data from websites. Scrapy is an open-source framework for web crawling, used to gather and process data from websites. Use these libraries to enhance your Python projects and drive innovation. What’s your favorite Python library combination? Share in the comments! #python #pythonprogramming

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