NameError: name 'Hello' is not defined We need to define the function before calling it to fix this error. Avoid Using Misspelled Variables or Function Names in Python Another reason to get this error is when a user is making mistakes in defining the correct spelling of a function; that ...
Python is a widely used & simple languagewith built-in mathematical functions & hence is considered one of the best languages for scraping.Web scraping with Pythonis one of the most demanding skills in 2025 because AI is on a boom. It is also flexible and easy to understand even if you a...
Data science. Python is widely used in data analysis and visualization, with libraries like Pandas, NumPy, and Matplotlib being particularly useful. Web development.Frameworks such as Django and Flask are used for backend web development. Software development. You can use Python in software developmen...
2 pymongo pandas tqdm matplotlib seaborn Step 2: Setup pre-requisites In this tutorial, we will use MongoDB Atlas as a vector store and retriever. But first, you will need a MongoDB Atlas account with a database cluster and get the connection string to connect to your cluster. Follow thes...
In this step-by-step tutorial, you'll learn about MATLAB vs Python, why you should switch from MATLAB to Python, the packages you'll need to make a smooth transition, and the bumps you'll most likely encounter along the way.
Let's highlight the key parts of the code snippet above: Import the necessary libraries: load_dataset from Hugging Face's datasets library and pandas for data manipulation. Use the load_dataset() methodto fetch the "MongoDB/airbnb_embeddings" dataset. The split="trainparameter specifies we wa...
Key Points – Use therename()function in pandas to change column names. Specify the old column name and the desired new column name within thecolumnsparameter of therename()function. To apply changes directly to the original DataFrame, set theinplaceparameter toTrue. ...
🌀 Use pandas to Visualize CSV Data in Python: This blog discusses using the CData Python Connector for CSV with pandas, Matplotlib, and SQLAlchemy to analyze and visualize live CSV data in Python. It highlights the ease of integration and superior performance of the connector, along with ...
If you need to scrape a lot of data on a regular basis, or want to avoid handling dynamic content manually, consider more robust frameworks likeSeleniumor exploring additional options provided by ScrapingBee's advanced API features. Method 6: Using APIs instead of scraping ...
For example, say you’re trying to run an application that uses pandas, but you don’t have this library installed on your computer. In this case, you can open your terminal and use pip like this: Shell $ pip3 install pandas This command downloads pandas and its dependencies from PyP...