| ดีเลย์กี่วินาที=10 | |
| // หากใส่ "" จะเป็นกราฟว่างเปล่า | |
| รายการสินทรัพย์โดยระบบจะไล่ตามลำดับ=["USDTHB","TVC:GOLD","BTCUSD"] | |
| // กำนหดว่า true เพื่อหยุดการสลับชั่วคราว กำหนด false เพื่อทำต่อ | |
| หยุดสลับไหม=false | |
| var main_inited | |
| if (main_inited) {} else { |
| # WARNING: beware when using relative path, pls check working directory too. | |
| # REMARK: pls see all comments, and in near actual NY event, run this script before time that "Countdown Final Alert" is occured (23:45 of NY Eve). | |
| import subprocess as sp | |
| import datetime,time | |
| # Path to song | |
| main_song_path='./Music/Edited/Events/NewYear2023/' | |
| # Timestamp for "Countdown Final Alert" which alert before NY. 15minutes |
Remarks: Those codes are written for Python, using popular data science libraries (such as pandas). And you can try this on Google Colab.
Dataset contains information about university entries Related Datasets URL: https://tcas.sgp1.digitaloceanspaces.com/data/universities.json
| # [USER_PARAM] Path to device file | |
| path='/dev/sda' | |
| # [USER_PARAM] Physical Sector Size of Disk (Used only in buffer_size and information displaying, can be ignore) | |
| physical_sector_size=4096 | |
| # [USER_PARAM] Buffer Size | |
| buffer_size=physical_sector_size*2 | |
| # [USER_PARAM] Writing Bytes Value (Set to 0 to overwrite disk to zero, else set to 255 for overwriting to ones) | |
| writing_bytes_value=0 | |
| # User Confirmation |
| # Check for data entries amount of dense layer (count weight+bias+output) | |
| def dense_layer_datanum(in_shape,dense_out,axis=-1): | |
| in_shape=list(in_shape) | |
| dense_in=in_shape[axis] | |
| in_shape[axis]=dense_out | |
| result_out=1 | |
| for i in in_shape: result_out*=i | |
| return (dense_in+1)*dense_out+result_out |
| #!/usr/bin/env python3 | |
| # Name: Python Initialization for Academic Usage | |
| # Description: Python Initialization for Academic Usage | |
| # Author: NP-chaonay (Nuttapong Punpipat) | |
| # Version: Unversioned | |
| # Version Note: N/A | |
| # Revised Date: 2020-09-10 13:51 (UTC) | |
| # License: MIT License | |
| # Programming Language: Python | |
| # CUI/GUI Language: English |
| #!/usr/bin/env python3 | |
| # Name: RandomQuizes | |
| # Description: Scripts for random quizes. | |
| # Author: NP-chaonay (Nuttapong Punpipat) | |
| # Version: Unversioned | |
| # Version Note: N/A | |
| # Revised Date: 2020-08-09 07:27 (UTC) | |
| # License: MIT License | |
| # Programming Language: Python | |
| # CUI/GUI Language: English |
| # Mentimeter Wordcloud Question Scraping | |
| import http.client,json | |
| import pandas as pd | |
| question_id='000000000000' | |
| HTTP_C=http.client.HTTPSConnection('api.mentimeter.com') | |
| HTTP_C.request('GET','/questions/'+question_id+'/result?isPublic=true') | |
| HTTP_R=HTTP_C.getresponse() |
| #!/usr/bin/env python3 | |
| # Name: My edited version of gradient descent algorithm No.1 | |
| # Description: My edited version of gradient descent algorithm. | |
| # In this sample code, we use gradient descent for determining value of x in ax^3+bx^2+cx+d that nearly matches to truth value using given a,b,c,d values (x is weight; a,b,c,d are inputted data) | |
| # Author: NP-chaonay (Nuttapong Punpipat) | |
| # Version: Unversioned | |
| # Version Note: None | |
| # Revised Date: 2020-07-27 05:34 (UTC) | |
| # License: MIT License | |
| # Programming Language: Python |
| #!/usr/bin/env python3 | |
| # Name: Academic Todo Recording | |
| # Description: Program helps you deal with entries of academic todo record. | |
| # Author: NP-chaonay (Nuttapong Punpipat) | |
| # Version: 0.0.0_alpha | |
| # Version Note: | |
| # - Major version: File produced on different major version is not compatible | |
| # - Minor version: Features adding | |
| # - Micro version: Bugs fixing | |
| # Revised Date: 2020-08-09 15:13 (UTC) |
