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Coding Professor
Таиланд
Добавлен 16 апр 2021
Coding and teaching are my passion and on this channel I create educational videos for teaching you how to code in R, Python, etc. Follow me on this journey.
Chanin Nantasenamat, Ph.D. is an Associate Professor of Bioinformatics at a Research University where he leads a research laboratory that harnesses data science for unraveling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science (as applied to bioinformatics) and has published almost 150 research articles, review articles and book chapters.
If you are fascinated about data science please check out my main channel, Data Professor
ruclips.net/user/dataprofessor
รศ.ดร.ชนินทร์ นันทเสนามาตร์
Chanin Nantasenamat, Ph.D. is an Associate Professor of Bioinformatics at a Research University where he leads a research laboratory that harnesses data science for unraveling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science (as applied to bioinformatics) and has published almost 150 research articles, review articles and book chapters.
If you are fascinated about data science please check out my main channel, Data Professor
ruclips.net/user/dataprofessor
รศ.ดร.ชนินทร์ นันทเสนามาตร์
Shiny for Python?
In this video, we will take a look at the new Shiny library that had extended from the R programming language into the Python ecosystem.
Shiny is a framework for creating web applications that had historically been available in the R ecosystem and only recently is now released to Python.
📖 Read about Shiny for Python shiny.rstudio.com/py/
🕹️ App Examples shinylive.io/py/examples/
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⭕ Support my work:
🌟 Subscribe to this channel (Coding Professor) ruclips.net/channel/UCJzlfIoF8nmWqJIv_iWQVRw
🌟 Subscribe to my other channel Data Professor ruclips.net/user/dataprofessor
🌟 Join the Newsletter of Data Professor newsletter.dataprofessor.org
🌟 Buy me a coffee www.buymeacoffee.com/dataprofessor
⭕ Recom...
Shiny is a framework for creating web applications that had historically been available in the R ecosystem and only recently is now released to Python.
📖 Read about Shiny for Python shiny.rstudio.com/py/
🕹️ App Examples shinylive.io/py/examples/
-----
⭕ Support my work:
🌟 Subscribe to this channel (Coding Professor) ruclips.net/channel/UCJzlfIoF8nmWqJIv_iWQVRw
🌟 Subscribe to my other channel Data Professor ruclips.net/user/dataprofessor
🌟 Join the Newsletter of Data Professor newsletter.dataprofessor.org
🌟 Buy me a coffee www.buymeacoffee.com/dataprofessor
⭕ Recom...
Просмотров: 8 481
Видео
NEW Professional Certificates for Developers and Marketers from Meta
Просмотров 2,2 тыс.2 года назад
In this video, I provide a quick overview on the new Meta Professional Certificates that has just been released on Coursera. Links to Meta Professional Certificate in ... - Front-End Developer imp.i384100.net/meta-front-end-developer - Back-End Developer imp.i384100.net/meta-back-end-developer - iOS Developer imp.i384100.net/meta-ios-developer - Android Developer imp.i384100.net/meta-android-de...
What does data science looks like post pandemic?
Просмотров 3272 года назад
In this podcast video, data science RUclipsrs (Ken Jee, Krish Naik and Data Professor) explores the important question on what data science looks like post pandemic. This video clip is taken from the full podcast ruclips.net/video/4qZINLzwYyk/видео.html on @KenJee_ds's channel. Subscribe to: - @KenJee_ds ruclips.net/channel/UCiT9RITQ9PW6BhXK0y2jaeg - @krishnaik06 ruclips.net/user/krishnaik06 - ...
Is the data science market saturated?
Просмотров 1,5 тыс.2 года назад
In this podcast video, data science RUclipsrs (Ken Jee, Krish Naik and Data Professor) explores the important question on whether the data science market is saturated? This video clip is taken from the full podcast ruclips.net/video/4qZINLzwYyk/видео.html on @KenJee_ds's channel. Subscribe to: - @KenJee_ds ruclips.net/channel/UCiT9RITQ9PW6BhXK0y2jaeg - @krishnaik06 ruclips.net/user/krishnaik06 ...
How does data science hiring vary across different countries
Просмотров 2352 года назад
In this podcast video, data science RUclipsrs (Ken Jee, Krish Naik and Data Professor) explores the important question on how the job market differs across different countries. This video clip is taken from the full podcast ruclips.net/video/4qZINLzwYyk/видео.html on @KenJee_ds's channel. Subscribe to: - @KenJee_ds ruclips.net/channel/UCiT9RITQ9PW6BhXK0y2jaeg - @krishnaik06 ruclips.net/user/kri...
What does the future of data science looks like?
Просмотров 7032 года назад
In this podcast video, data science RUclipsrs (Ken Jee, Krish Naik and Data Professor) explores the important question of What does the future of data science looks like? This video clip is taken from the full podcast ruclips.net/video/4qZINLzwYyk/видео.html on @KenJee_ds's channel. Subscribe to: - @KenJee_ds ruclips.net/channel/UCiT9RITQ9PW6BhXK0y2jaeg - @krishnaik06 ruclips.net/user/krishnaik...
Dark Reader - Google Chrome Extension for browsing the web in dark mode
Просмотров 4,5 тыс.2 года назад
In this video, I provide a quick tutorial on how you can browse the internet in dark mode using the Google Chrome extension called Dark Reader. What's the benefit of this? When you're going through lots of webpages (Stack Overflow, Google, etc.) with white background color the bright color may tire your eyes. With this extension you can turn any website to a dark theme which helps to care for y...
dabl - A Python library for AutoEDA and AutoML
Просмотров 3,5 тыс.2 года назад
If you like Pandas-Profiling, you'll love dabl. In this video, I provide a walkthrough of the dabl Python library which literally stands for Data Analysis Baseline Library (dabl). In a few lines of code, you can perform exploratory data analysis and machine learning model building. - dabl dabl.github.io/ 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Support my work: 🌟 Subscribe to this cha...
Mito Tutorial Ep. 10 - Type Changes
Просмотров 5483 года назад
In this video, we have Jake (co-founder of Mito) to show us how to change the data type of data and formula columns using Mito's type casting features. Mito's point and click type changes make it easy to identify the data type of each column in your dataframe, and cast those columns to a different type. 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Step-by-step instructions 1. Identifying ...
Fastest way to upload files from Google Drive to Google Colab
Просмотров 16 тыс.3 года назад
Have you ever wanted to upload large files into your Google Colab but find that it takes too long? In this video, I will show you how to quickly upload data from Google Drive onto your Google Colab. A file of 1 GB in size will take about half a minute. Let's dive in! 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Support my work: 🌟 Subscribe to this channel (Coding Professor) ruclips.net/ch...
Top Statistics libraries in Python
Просмотров 3,5 тыс.3 года назад
In this video, I provide a quick look at some of the top Python libraries that you can use to perform statistical analysis. 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Links for this video: - Pengouin pingouin-stats.org - statsmodels statsmodels.org - statistics (from Python Standard Library) docs.python.org/3/library/statistics.html - scipy.stats docs.scipy.org/doc/scipy/reference/stats...
What is GitHub Copilot? AI Code Completion
Просмотров 1,5 тыс.3 года назад
In this video, we will be taking a high-level look at the GitHub Copilot that has been receiving wide attention by the coding community. In a nutshell, GitHub Copilot is a natural language processing algorithm that can convert natural language to code. Under the hood, the GitHub Copilot is powered by OpenAI Codex which is a descendant of the GPT-3 that was also created by Open AI. 🌟 Download Ki...
How to Install Python
Просмотров 1,1 тыс.3 года назад
In this video, we will be exploring 3 approaches for installing Python: (1) Downloading an installer from Python.org, (2) Installing Anaconda and (3) Installing mini-conda. 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Links for this video: - Python.org www.python.org - Anaconda www.anaconda.com/products/individual - Mini conda docs.conda.io/en/latest/miniconda.html ⭕ Support my work: 🌟 Su...
The One Line to Rule Them All (Import Python Libraries with PyForest)
Просмотров 1,3 тыс.3 года назад
In this video, I will show you how you can use 1 line of importing PyForest instead of having to repetitively import all the common Python libraries such as Pandas, Numpy, Matplotlib, Scikit-learn, etc. This will save you immense amount of time over the long run. 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕ Links for this video: PyForest pypi.org/project/pyforest/ ⭕ Support my work: 🌟 Sub...
How to Effortlessly Create a README for your Data Science Project on GitHub
Просмотров 7 тыс.3 года назад
In this video, I will show you how to quickly create a README for your data science or coding projects using readme.so. A readme for your GitHub project is a great way to provide the proper documentation to others of what your project is all about. Creating a project readme may take hours but you can now do so in a few seconds or a few minutes. 🌟 Download Kite for FREE www.kite.com/get-kite/? ⭕...
Python Tutorial for Beginners Ep. 7: For Loop in Python
Просмотров 7703 года назад
Python Tutorial for Beginners Ep. 7: For Loop in Python
Mito Tutorial Ep. 9 - Save and Repeat Analyses
Просмотров 4283 года назад
Mito Tutorial Ep. 9 - Save and Repeat Analyses
Mito Tutorial Ep. 8 - Summary Statistics
Просмотров 3043 года назад
Mito Tutorial Ep. 8 - Summary Statistics
The only CONDA tutorial you'll need to watch to get started
Просмотров 49 тыс.3 года назад
The only CONDA tutorial you'll need to watch to get started
Mito Tutorial Ep. 4 - Merging Datasets Together
Просмотров 4303 года назад
Mito Tutorial Ep. 4 - Merging Datasets Together
Mito Tutorial Ep. 3 - Using spreadsheet functions to analyze data
Просмотров 4293 года назад
Mito Tutorial Ep. 3 - Using spreadsheet functions to analyze data
Mito Tutorial Ep. 1 - Create a Mitosheet
Просмотров 2 тыс.3 года назад
Mito Tutorial Ep. 1 - Create a Mitosheet
Python Tutorial for Beginners Ep. 6: Lists in Python
Просмотров 1,1 тыс.3 года назад
Python Tutorial for Beginners Ep. 6: Lists in Python
Matplotlib Tutorial Ep. 1: How to make a Histogram plot
Просмотров 1,6 тыс.3 года назад
Matplotlib Tutorial Ep. 1: How to make a Histogram plot
Python Tutorial for Beginners Ep. 5: Arithmetic Operators in Python
Просмотров 6 тыс.3 года назад
Python Tutorial for Beginners Ep. 5: Arithmetic Operators in Python
Top 5 Python Libraries for Data Visualization
Просмотров 50 тыс.3 года назад
Top 5 Python Libraries for Data Visualization
Thank you very much for this tutorial.
informative
tanks
Quick and easy. Thank you!
Why not use CoCalc instead?
Thanks a lot for this quick tutorial. Was struggling with running CUDA on VSCode. 😇😊
I love this extension, but I noticed that if you have a google docs document, and set the background color of the document to say, a tan, color, it also darkens the background color of the document, turning it into a dark brown. Is it possible to make this extension not darken the background color of the document? Regardless, this extension has served me well for years.
/you make things so simple to understand
Thankyou so much. That was very helpful
How would I write this I keep getting an error my_number=5 for i in range(my_number,my_number+10): if i>=3: print[(]((i,2*i+1)[)]
sory but i cannot see the id... in my case i just see the url to be shared as a link...
Very helpful! Thanks!!
One thing to consider and why shiny for R is imho most powerful. It allows for asynchronous programming/subprocessing, which Python dash or streamlit do not. At least streamlit not compatible with asyncio. not that I know of. Not that easy like shiny + CallR. Might be wrong, but on top R vectorized operations do not need any additional library language like Pandas / Numpy which in fact is not native Python language. You need to apply vectorize in numpy to make Python work vectorized. On the contrary, vectorization is just R DNA and all goes so smooth with Shiny in R. Might be wrong…
/bin/bash: line 1: down: command not found
In my environment, I want some of my packages to not update automatically, how can I do that
Thanks man!! this video is a lifesaver!
This was very helpful. Thank you!
enter environment. do a git clone. downloads. nothing shows up in the current directory. where is it?
___
I'm not biggest math head bed its getting to me thank u
Great introduction, thanks!
Thank u 🤍
Matplotlib for papers, plotly for current calculations (because there are some nice interactive fitchures thar don't have Mpl, e. g. interactive cursor ). They are simple and useful.
I have a question that i developed while coding today. Is it possible to put set variable into an ascii art? If yes how?
A few months too late, but here you go! print(figlet_format(f"{variable}", font = "standard"))
Advanced data visualization techniques with python ruclips.net/video/FAAp34UHEYI/видео.html
unfortunately not enough to get me started.
What was missing?
sanks sir I apresiate you very mush
Thank you 😊
way too many links in the description, non of which for the mini conda. very bad
Thanks for the good information. :) Is there any way to move the folder? Copying the image folder takes too long
Access denied with the following error: Cannot retrieve the public link of the file, you may need to change the permission to ' Anyone with the link's, or have had many accesses How to resolve this?
For sure after waching your video and reviewing those web sites I may say... Plotly will be my boy.
Everything I needed and more 🙏🏽
I love you
Should I Star with the front-end or backend course? Or it doesn not matter? And should I take both? Or just 1 is good?
You are the best
15/7 = 2.1428... 15%7 = 1 WTF*
If u use the long division method, u will get one as the remainder
Hi. Thank so much for the video. I just have a doubt...how can i display de web app if i am in Jupyter Notebook? Thank you again for your response.
Can you make the example how to upload file to GDrive using colab. But we can change name and convert to zip or another extension file.
Hi Prof! Thank you for yet another insightful video, really appreciate you sharing your knowledge! This might be an amateur question but if possible please direct me. I want to ask more of a statistics-based question in Data Science... when building models and dealing with different data types and outputs I think it will be extremely valuable to go through feature selection methods in Python, using different Encoders as well as the statistical test that is used for each type. I have found this quite difficult to build intuition with and would appreciate any insights you may have. Thank you once again!
altair and bokeh new for me... interesting... precisely explained.
Thank you!
Do you think this cert worth to someone with previous experience in development?
DISLIKE Please remove that chezy background music.. It is very distracting :(
it is really helpful but now we cant insted of we can directly mount the whole drive but thank you
Great video! I noticed that courses 4 onwards of both certs don't have any reviews. Does this mean these aren't available yet? Or will they open up if I buy the course/coursera subscription?
Thank you very much for this one. I'm looking forward to a video in which you demonstrate how to make the most of it.
If possible would you give a short tutorial on shap or lime for deep learning models?
Shinny+Python is super fast, even faster than streamlit. Thanks
Streamlit is slow because it has to reload the whole Python script or module supplied to it for any user interaction. I use streamlit-folium for visualizing 50000 geolocations with user to pull out sensor measurement time series at each location. The constant rerunning for 10 seconds after zooming or dragging action is killing me already at testing.