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Add Conda binaries to your system PATH, so you can use the conda command on your terminal.Ĭreate a Conda environment and install the required libraries by running these commands on the terminal:Ĭonda create -n zerotopandas -y python=3.8
![petz dogz 2 polar fields petz dogz 2 polar fields](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20200703165807225-0056:S0032247420000182:S0032247420000182_tab3.png)
Install Conda by following these instructions. Option 2: Running on your computer locally You can also select "Run on Colab" or "Run on Kaggle". This will run the notebook on, a free online service for running Jupyter notebooks.
![petz dogz 2 polar fields petz dogz 2 polar fields](https://i.ytimg.com/vi/Zqrtxiq_484/sddefault.jpg)
The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". Option 1: Running using free online resources (1-click, recommended) You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer. This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. I have learned a lot which includes numpy array, pandas dataframe, matplotlib etc and a really supportive forum which is there to help at all times. I will be using matplotlib, pandas dataframe, numpy etc.Īnd thanks to this lovely course Data Analysis with Python: Zero to Pandas, which has helped me a lot in this domain. I will be trying to find out differnt kind of insights from this dataset like the most games released in a year, distribution of genres of games among different publisher, trends in the game released, lucrative market for different publisher, top publisher in the video game domains, etc. It also has the genre of the games that are released. This dataset contains data of video games in different platforms that are sold from 1980 to 2020, it also has the name of the publisher of the game, 4 different region sales data i.e North America, Europe, Japan, Rest Of World as well as Global sales data. This project is on the video games sales data.