ceshine

from torchvision import transforms
from PIL import ImageOps

class ResizeAndPad(object):
    def __init__(self, size, interpolation=Image.BILINEAR):
        assert isinstance(size, int)
        self.size = size
        self.interpolation = interpolation

    def __call__(self, img):

ceshine

class STLR(torch.optim.lr_scheduler._LRScheduler):
    def __init__(self, optimizer, max_mul, ratio, steps_per_cycle, decay=1, last_epoch=-1):
        self.max_mul = max_mul - 1
        self.turning_point = steps_per_cycle // (ratio + 1)
        self.steps_per_cycle = steps_per_cycle
        self.decay = decay
        super().__init__(optimizer, last_epoch)

    def get_lr(self):
        residual = self.last_epoch % self.steps_per_cycle

ceshine

"""A Simple Strategy Trading Two Stocks

Original code: https://blog.csdn.net/qq_26948675/article/details/80016633
Modified based on: https://www.backtrader.com/blog/posts/2018-04-22-improving-code/improving-code.html

Replaced the local CSV files with online data from IEX.

Unfortunately, this strategy is not profitable for the two stocks picked.
"""

ceshine

How To Develop Python Programs in Visual Studio Code

Prerequisites

You have to already have these in your system:

• Python. Version 3.6+ is highly recommended.
  • Official CPython from python.org
  • Anaconda

• (Recommended) Miniconda

ceshine

ceshine

ceshine

ceshine

library(ggplot2)
library(ggthemes)

dat <- data.frame(
    name = c("CPU", "GPU", "TPU"), 
    time = c(3 * 3600 + 6 * 60 + 4, 3 * 60 + 16, 1 * 60 + 42)
)
dat$log_time = log(dat$time)

ggplot(data=dat, aes(x=name, y=log_time)) + 

ceshine

Data Analysis Pieces

• Taiwan Tourism Dataset
  • An Analysis of the Impact of Chinese Tourism Ban to Taiwan
  • Country-level Analysis of Numbers of Visitors to Taiwan

Competition Summary / Notes

• Learning Notes from Planet Competition
• Kaggle Instacart Competition

ceshine

# WARNING: this script is out-dated since the last update of the Tourism Bureau website.
from pathlib import Path

import pandas as pd

SCHEMAS = [
    (201201, "schema/residence-2012-01.csv"),
    (201101, "schema/residence-2011-01.csv")
]
DATA_FILE_PATTERN = "raw_data/{year}-{month}.xls"