A delightful little PYTHON project. Go on, give it a go!

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Coming up with ideas for projects can be challenging. Here is a 5 in 1 project plan for python programmers. It uses the RU-vid API.
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Опубликовано:

25 июл 2024

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Комментарии : 16

@oguve278 Год назад

Good advice, thanks for sharing :) I’ve reached a solid level with python, I feel confident in undertaking this miniproject

@kidmilan6585 Год назад

Un grande video complimenti,sempre il top complimenti 😊👍

@kevinwoodrobotics Год назад

Yeah I think going through the RU-vid api will really test your knowledge by seeing if you can apply all your skills and use it for something meaningful like automating your RU-vid uploading or thumbnail changes. Although, some documentation is not that complete for some python related tasks, so it may take some digging around. But good thing their repo has lots of examples to work off of.

@morganman2015 Год назад

@Python Programmer. Do you know of any beginner friendly books that incorporate computational thinking/logic? I'm learning about variables and booleans but I think the problem is I don't understand the logic. So when it 's time to build something, you can't get started. Are there any books that take you through the entire process of going from pseudocode to fully functioning code?

@never_give_up944 Год назад

Think Python 2

@gonzalodiazamor5494 9 месяцев назад

Five Mini Projects The video explains the five mini projects involved in creating the larger project. Mini Project 1: Setting up Google Cloud Services and RU-vid API Interaction The first step is to set up an account with Google cloud services and ensure interaction with the RU-vid API. Mini Project 2: Reading RU-vid API Documentation and Downloading Data The second step involves reading the documentation for the RU-vid API and working on interacting with the API to download RU-vid data, including titles, views, and thumbnails. Mini Project 3: Saving Data into a JSON File and Reading it into a Pandas DataFrame In the third step, after saving the downloaded data into a JSON file, it is necessary to read it into a Pandas DataFrame for analysis and plotting purposes. Mini Project 4: Visualizing Data using Plotly and Dash The fourth step focuses on visualizing the data. Initially, the speaker uses Plotly but then switches to Dash to display thumbnails. Mini Project 5: Moving Forward with the Project The fifth mini project is about exploring further possibilities and potential improvements for the project. The speaker mentions that there is a lot that can be done once the basics are understood.