Open pavithraes opened 1 year ago
To begin with, I am so glad to hear that Claus O. Wilke has given permission for the project to move forward in this direction. @pavithraes I recently received an email about the acceptance for this project and I would like to start working on this issue. Can I assign myself to this issue?
Hi there! I'm Chinmay, an outreachy applicant and I'm excited to explore, contribute to Bokeh and collaborate with the community to make meaningful improvements to the project.
Hi, i would like to be a part of this project. I have set up the bokeh environment.
Hi Akansha there , An Outreachy applicant I am Excited to express my interest in participating in the contribution round for the Outreachy internship program in this project. I have read all the documentation related to this project and start working on it to collaborate and contribute to this project.
Hello Everyone! I'm Aman Jamshed, an outreachy applicant. I found this project quite interesting and I want to contribute in this project. Really excited to learn about bokeh and looking forward to be a part of Bokeh community. :)
Hello Everyone! I am glad to be here. I'm Oluwaseun, an outreachy applicant. I have read all the documentation related to this project and I am ready to collaborate and contribute to this project. Looking forward to Bokeh's community.
Hey there, This is Arpita , An Outreachy applicant .I am excited to express my interest in participating in the contribution period for the Outreachy internship program in this project.
Hi everyone. Joyclyn here. I'm an outreachy applicant and I'm interested in creating a blog series. Looking forward to learn about bokeh and contribute to this project.
Hello, I am Aka Ezinwanne, I am an outreachy applicant with experience in python for data science and visualization. I am fascinated with this project and would love to be a contributor to this awesome project. Thank you
Hi @pavithraes I am Ajoke, an outreachy applicant. I am excited towards achieving a successful project because of my keen interest in Data Visualization. I am a data analyst with knowledge in Python and Data Visualization. I am excited about this project, hence my prompt act in installing Bokehon my laptop and understanding how it works. I am also familiar with the book "Fundamental Data Visualization" as it is what I used when trying to understand the concept and guidelines of data visualization. I have read all documentation regarding this project and I'm more interested in the success of this project by contributing my quota. Looking forward to collaborating with the Bokeh Community and making sure Data visualizing is done right.
Welcome, I'm glad you're all interested in this project!
Can I assign myself to this issue?
@H4LKEye Multiple applicants can work on the microtasks listed in the description, so we won't be assigning the issue to anyone. :)
Hi @pavithraes I am EMMANUEL WARRI, an Outreach applicant with a background in data analysis and proficiency in Python and Data Visualization, eager to achieve success in this project that aligns with interest in Data Visualization. I have already taken steps to familiarize myself with Bokeh and I am committed to contributing towards this project's success. I'm excited to collaborate with the Bokeh Community and hope to make a meaningful impact.
Hi, everyone! I'm Peace, an outreachy applicant. I am interested in contributing to this project. I'm excited to meet and collaborate with everyone. I hope to make meaningful and progressive contributions to Bokeh.
Hello, everybody! I am Himanshi Mishra, an outreachy applicant. I have a good knowledge of Python and data visualization and experience in technical writing. I'm eager to get to know everyone and work with them.
Hello Everyone! I am Girisha Sahdev, an outreachy applicant. I am an engineering sophomore from India and an ML enthusiast. I have good experience with Python and I've used Data Visualisation, in some of my ML Projects. I am into Technical Writing, since almost a year now. Really Looking forward to make worthwhile contributions and working here!
Hello everyone, I am Isaak Kamau a data scientist and an Outreachy applicant from Nairobi Kenya. I am excited to collaborate with you all!
Hi, everyone! I am Juan, an Outreachy applicant and currently a graduate student at the University of Texas at Austin.
I have the honor to take the Data Visualization course from professor Claus O. Wilke, I really like this course and the book 'Fundamentals of Data Visualization'. I am so excited about this project and looking forward to making contributions to Bokeh!!
Hello everyone I am Isaak Kamau, an Outreachy applicant I have a BSc. Statistics and I would love to participate in this project
Hi @pavithraes I am Deborah, an outreachy applicant. I took a course in Data Science Late last year and I look forward to contributing to creating a blog post series: "Fundamentals of Data Visualization in Bokeh".
hello, I am Cindy Purity and I am honored to participate in this contribution phase. I have knowledge and experience in python and data visualization as well as certification in Data Science. I am looking forward to learn and gain professional skills from outreachy!
Hello Everyone, I am Neba Desmond a data scientist and an outreachy applicant. I just completed the documentations related to this project and looking forward to contributing to this amaizing project.
Hello there! I am Adrija. My initial application got selected. Very excited to contribute my part and proceed accordingly! Please help me out with the upcoming steps. :)
Hey @pavithraes , are we suppose to contribute to this issue at the time of internship or can we start doing this in the contribution period as well?
Hi everyone, I am Gifty, an outreachy applicant who is interested in this project. I am relatively new to open source and hope to learn new skills from this project. Hope to learn a lot from you all...thank youuu!. Also waiting to be invited to the slack channel.
Welcome, everyone! ✨
@Ruchi-here You can work on the microtasks during the contribution phase, the project is for the internship phase. Please feel free to explore the book and plots though. :)
Hey all, I would like to know a few things. Firstly, when/where/ how can we be in touch with mentors for the project? Secondly, I am pretty new to open source platforms. It would be really helpful if I can get some guidance from a senior. :)
Hello @nobody-butcat no project will be assigned by anyone. Look of for the project you are interested in. You will see a micro task. Click on it and you will see what you are to do. I hope this answers your question
@nobody-butcat If you need any assistance or guide, I am available to be of help. Thanks
@nobody-butcat You can reach the mentors and other applicants on the Bokeh Slack as well: https://slack-invite.bokeh.org/
Hi everyone! I am Eloisa, an outreachy applicant interested in this project. I'm excited to be here and gain some experience.
Hello everyone. My name is Adenike Ateloye . I am an Outreachy applicant and looking forward to learning and gaining more knowledge in the project work.
@Oyetayo12 Welcome to the community
Hello everyone, My name is Gauri. I'm an outreachy applicant and looking forward to contirubte my best to the project along with gaining great experience.
Welcome @brodocode to the community. Wishing you the best as you explore the project
Hello everyone, My name is Gauri. I'm an outreachy applicant and looking forward to contirubte my best to the project along with gaining great experience.
Great to have you here @brodocode
Fundamentals of Data Visualization is a great book by Claus O. Wilke, that discusses core concepts of data visualization with nice examples. The book is available to read for free here: https://clauswilke.com/dataviz/
The visualization in the book are created using the R programming language. This internship project involves creating a series of blog posts (or a different learning resource) on how to create the various plots in the book using Python and Bokeh. The author, Claus O. Wilke, has given us permission for this project. :)
Preliminary reading
Micro tasks for the contribution phase