Python

Which keyword is used to import a module in Python? #python #pythonprogamming

Which string method is used to replace a substring in Python? #python #pythonprogramming #coding

𝐃𝐚𝐭𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝. Here's a Python Data Structures Concept Map to make it easier to understand ↓ Data structures are a way of organizing data so that it can be accessed more efficiently depending on the situation. Data structures are fundamentals of any programming language around which a program is built. - 𝗟𝗶𝘀𝘁𝘀: Think of a digital shopping list – that's a Python list! 🛒📝 It holds various data types and allows easy addition, removal, and modification. - 𝗗𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝗶𝗲𝘀: Like a word-reference, Python dictionaries pair "keys" and "values". 📖🔑 Perfect for storing related info, akin to a contact list. - 𝗧𝘂𝗽𝗹𝗲𝘀: Similar to lists, but unchangeable once set 🔒. Ideal for fixed values, like coordinates. - 𝗦𝗲𝘁𝘀: Imagine a drawer with unique items – that's a set! ✨🗄️ Great for finding common elements. - 𝗦𝘁𝗮𝗰𝗸𝘀: Visualize a stack of plates – last in, first out. 🥞⌛ Used for orderly retrieval. - 𝗤𝘂𝗲𝘂𝗲𝘀: Picture a movie ticket queue – first come, first served. 🎫👥 Manages items in sequence. - 𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀: Imagine linked chain links, each with data and a pointer. 🔗📜 Efficient for insertions and deletions. Each structure has unique advantages, streamlining your code for efficiency. Remember, the choice depends on your goals! #dsa #python #programming

Which function is used to display output in Python? #python #programming

𝐇𝐨𝐰 𝐭𝐨 𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡 🚀 1. 𝐒𝐞𝐭𝐮𝐩 𝐚𝐧𝐝 𝐁𝐚𝐬𝐢𝐜𝐬 🏁 - Install Python 🖥️: Download Python and set it up. - Hello, World! 🌍: Write your first Hello World program. 2. 𝐁𝐚𝐬𝐢𝐜 𝐒𝐲𝐧𝐭𝐚𝐱 📜 - Variables and Data Types 📊: Learn about strings, integers, floats, and booleans. - Control Structures 🔄: Understand if-else statements, for loops, and while loops. - Functions 🛠️: Write reusable blocks of code. 3. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 📂 - Lists 📋: Manage collections of items. - Dictionaries 📖: Store key-value pairs. - Tuples 📦: Work with immutable sequences. - Sets 🔢: Handle collections of unique items. 4. 𝐌𝐨𝐝𝐮𝐥𝐞𝐬 𝐚𝐧𝐝 𝐏𝐚𝐜𝐤𝐚𝐠𝐞𝐬 📦 - Standard Library 📚: Explore built-in modules. - Third-Party Packages 🌐: Install and use packages with pip. 5. 𝐅𝐢𝐥𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 📁 - Read and Write Files 📝 - CSV and JSON 📑 6. 𝐎𝐛𝐣𝐞𝐜𝐭-𝐎𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 🧩 - Classes and Objects 🏛️ - Inheritance and Polymorphism 👨👩👧 7. 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 🌐 - Flask 🍼: Start with a micro web framework. - Django 🦄: Dive into a full-fledged web framework. 8. 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🧠 - NumPy 📊: Numerical operations. - Pandas 🐼: Data manipulation and analysis. - Matplotlib 📈 and Seaborn 📊: Data visualization. - Scikit-learn 🤖: Machine learning. 9. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠 🤖 - Automate Tasks 🛠️: Use Python to automate repetitive tasks. - APIs 🌐: Interact with web services. 10. 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 🐞 - Unit Testing 🧪: Write tests for your code. - Debugging 🔍: Learn to debug efficiently. 11. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐨𝐩𝐢𝐜𝐬 🚀 - Concurrency and Parallelism 🕒 - Decorators 🌀 and Generators ⚙️ - Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy. 12. 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 💡 - Calculator 🧮 - To-Do List App 📋 - Weather App ☀️ - Personal Blog 📝 13. 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 🤝 - Contribute to Open Source 🌍 - Join Coding Communities 💬 - Participate in Hackathons 🏆 14. 𝐊𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 📈 - Read Books 📖: Like "Automate the Boring Stuff with Python". - Watch Tutorials 🎥: Follow video courses and tutorials. - Solve Challenges 🧩: On platforms like LeetCode, HackerRank. 15. 𝐓𝐞𝐚𝐜𝐡 𝐚𝐧𝐝 𝐒𝐡𝐚𝐫𝐞 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 📢 - Write Blogs ✍️ - Create Video Tutorials 📹 - Mentor Others 👨🏫 Hope you'll like it Like this post if you need more resources like this 👍❤️ #python #programming

Which function is used to create an anonymous function in Python? #python #pythonprogramming

Which of the following is not the module provided by Python for GUI programming? #python #pythonprogramming

𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: GLM-PyTorch: Generalized linear models with PyTorch. JAX: Numerical computing and machine learning library. Pyro: Probabilistic programming built on PyTorch. Flax: High-performance deep learning library built on JAX. NeRF: Framework for 3D scene reconstruction using Neural Radiance Fields. DALLE-2: AI model for generating images from text. Imagen: Generative model for image creation. StyleGAN: GAN-based model for image synthesis. Pandas: Tool for data manipulation and analysis. Bokeh: Interactive data visualization library. SciPy: Library for scientific computing. Plotly: Interactive graphing library. Matplotlib: Library for 2D plotting. NumPy: Core library for numerical operations. Seaborn: Visualization library based on Matplotlib. Dask: Library for parallel computing. Scikit-Learn: Machine learning toolkit. CatBoost: Gradient boosting for categorical features. XGBoost: Efficient gradient boosting framework. Keras: High-level neural networks API. LightGBM: Gradient boosting for large datasets. OpenAI Gym: Toolkit for reinforcement learning models. PyTorch: Flexible deep learning framework. TensorFlow: End-to-end platform for machine learning. #python #pythonprogramming

What will be the output of #python #pythonprogramming

Which of the following is not a namespace in Python? #python #pythonprogramming