This all started in December-19, when the pandemic started to actually change our lives. First of all, my heart goes out to the people who have lost their jobs in this global pandemic. I also felt insecure about losing my job but luckily I’ve been ok workwise. To take control over my life I wanted to start saving funds and saving the money in the bank wasn’t helping as every time I needed some money to buy something, it was there for me to cash out.
Let’s start crunching some numbers, I first started by looking at what I was…
Before we go ahead, I just wanted to let you know that I am a content creator on YouTube and you can also watch this video on YouTube, where I covered this topic. I hope you share and subscribe to my channel if you thought this was helpful. Thanks for showing the support to my channel. I really appreciate it. Let’s start!
In this automation idea, I am trying to keep my
Downloads folder clean by automatically uploading the files into Dropbox which has a specific extension and I don’t want to move them manually. …
In this example, we will use a CSO dataset to create the interactive map. Let’s create the list for what we need to get started:
✅ CSO data
Once we have done these steps, we should place the shapefiles and the dataset into the current directory. Let’s move on!
A satisfying and important aspect of geographic research is communicating the results. Map making…
If you’re interested in a career working with data, numbers and statistics there are two paths you may want to consider – becoming a data analyst or a data scientist. In this article, I will share my experience on both disciplines and we will also talk about the differences between data analysts and data scientists?
We’ll take a look at the differences and the career paths for both disciplines based on four categories mentioned below:
Simply put, a data analyst makes sense out of existing data, whereas a data scientist works on new ways of capturing and analysing…
In this tutorial, I will cover an example on how to create an interactive data visualisation with Plotly using Ipywidgets in Jupyter notebook. Plotly’s Python graphing library makes interactive, publication-quality graphs. Ipywidgets, also known as jupyter-widgets or simply widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel.
We will first import all the dependencies that we will be using in this example.
We will then load the data and convert the format of the “date” column into date time.
Then we will create the Date Picker widget and Plotly scatter plot based on “temperature”…
Top YouTube Channel app built through plotly-dash. App is currently live on Heroku servers. This app is used in my YouTube video showcasing: How to call the YouTube API and collect the data and show the results in plotly-dash dashboard, which shows the basic comparison of the performance between the selected YouTube channels. (i.e. Ratings, Audience Engagement Score, Popular Tags used in the videos and more).
First thing we need is to create the API key and new project to start collecting the data. Projects that enable the YouTube Data API have a default quota allocation of 10,000 units…
In this application I have used Raspberry Pi 4 to build and temperature sensor client/server application, where the embedded SBC reads the CPU core temperature from a file system entry and sends the data to a desktop computer client, which displays the data in a graphical form.
Data Optimisation Network is an end to end application which connects multiple databases together to create a 360° view for the business on a same geospatial index through using machine intelligence and data science techniques. The demonstration of the app is based on Utility company. However, the data is anonymised for the solution but depicts the real-life problem.
Data Scientist with 9+ years of experience; YouTube Content Creator; I am qualified Gym Instructor and Personal Trainer. 👨🏻💻 🎥 🏋🏻