Data Analysis using Python - Pandas | Cloud Kitchen | Jupyter | Pandas groupby, loc, merge function

Описание

Python is a powerful programming langauage which supports libraries which can be used for variety of tasks like APIs, data analysis, machine learning, etc.
Anaconda is an open-source distribution of the Python and R programming languages for data science that aims to simplify package management and deployment. [1]
The Jupyter Notebook is the original web application for creating and sharing computational documents.
It offers a simple, streamlined, document-centric experience. [3]

In this video, we will be learning:
• How to download anaconda
• How to work with jupyter notebook
• How to import libraries and run python scripts in jupyter notebook
• Understand pandas library and its functions like groupby, loc, merge

Timeline:
• Install Anaconda - 1:00
• Understanding cloud kitchen data - 3:00
• Launch and understand Jupyter notebook - 3:45
• Import pandas and read excel file - 6:48
• Display Top 5 rows - 9:13
• Q1. Most popular item - 9:38
• Q2. Which partner had the most orders? - 13:50
• Q3. Which brand is the most popular? - 14:15
• Q4. Which kitchen takes the longest and shortest time to prepare? - 14:30
• Q5. How much time does the most popular item take to prepare in different kitchen locations? - 20:20
• Q6. Distribution of final bill by brand - 25:38

How can pandas help you?
• Data analysis
• Data cleaning
• Data manipulation

* The information on the videos and the resources available for download/viewing through this YouTube Channel are for educational and informational purposes only.

Source:
1. https://www.dominodatalab.com/data-science-dictionary/anaconda
2. https://www.python.org/doc/essays/blurb/
3. https://jupyter.org/