Alt hist

I thought it would be nice to look back at some of the old issues of Alt Hist. Here’s a reminder of Alt Hist Issue 1 – where it all began!!Alt Hist is the new magazine of Historical Fiction and Alternate History. Lovers of historical fiction for too long have been denied outlets for short pieces of fiction, as the number of print and online magazines for historical short fiction is very limited compared to the popularity of fiction set in past times. Alt Hist’s mission is to provide readers with entertaining and well-written short stories with a historical setting, whether portraying actual events or events that could have happened. If you read and enjoy historical fiction, alternate history or historical fantasy then we think you will like Alt Hist.The first issue of Alt Hist features six short stories:“The Silent Judge” by David W. Landrum“Easter Parade, 1930” by Rob McClure Smith“Holy Water” by Andrew Knighton“Lament for Lost Atlanta” by Arlan Andrews“The Bitterness of Apples” by Priya Sharma“Travelling by Air” by Ian SalesAlt Hist Issue 1 also includes an interview with Brandon H. Bell, co-editor of Aether Age, and information about the alternate history anthology Columbia & Britannia.You can get Alt Hist from Amazon.com and Amazon.co.uk and all other major book retailers.

Results.Type a text and then press F8. This searches for the previous item in the history that starts with the current input.Shift+F8 works like F8, but searches forward.More InfoAs @jscott mentioned in his/her answer, PowerShell 5.1 or higher in Windows 10, uses the PSReadLine module to support command editing environment. The full key mapping of this module can be retrieved by using Get-PSReadLineKeyHandler cmdlet. To view all the key mappings related to history, use the following command:Get-PSReadlineKeyHandler | ? {$_.function -like '*hist*'}and here is the output:History functions=================Key Function Description--- -------- -----------Alt+F7 ClearHistory Remove all items from the command line history (not PowerShell history)Ctrl+s ForwardSearchHistory Search history forward interactivelyF8 HistorySearchBackward Search for the previous item in the history that starts with the current input - like PreviousHistory if the input is emptyShift+F8 HistorySearchForward Search for the next item in the history that starts with the current input - like NextHistory if the input is emptyDownArrow NextHistory Replace the input with the next item in the historyUpArrow PreviousHistory Replace the input with the previous item in the historyCtrl+r ReverseSearchHistory Search history backwards interactively answered Nov 10, 2019 at 9:31 Moha DehghanMoha Dehghan1,1911 gold badge7 silver badges5 bronze badges 5 I have this in my PS profile:function hist { $find = $args; Write-Host "Finding in full history using {`$_ -like `"*$find*`"}"; Get-Content (Get-PSReadlineOption).HistorySavePath | ? {$_ -like "*$find*"} | Get-Unique | more } answered Dec 11, 2019 at 19:06 I found the following more direct:Get-HistoryAlias list:Get-AliasHistory and h are alias for Get-HistoryUsing the

Mean.There are other parameters, but their analysis is beyond the scope of this tutorial.The code above produces an image like this:You can see three box plots. Each of them corresponds to a single dataset (x, y, or z) and show the following:The mean is the red dashed line.The median is the purple line.The first quartile is the left edge of the blue rectangle.The third quartile is the right edge of the blue rectangle.The interquartile range is the length of the blue rectangle.The range contains everything from left to right.The outliers are the dots to the left and right.A box plot can show so much information in a single figure!HistogramsHistograms are particularly useful when there are a large number of unique values in a dataset. The histogram divides the values from a sorted dataset into intervals, also called bins. Often, all bins are of equal width, though this doesn’t have to be the case. The values of the lower and upper bounds of a bin are called the bin edges.The frequency is a single value that corresponds to each bin. It’s the number of elements of the dataset with the values between the edges of the bin. By convention, all bins but the rightmost one are half-open. They include the values equal to the lower bounds, but exclude the values equal to the upper bounds. The rightmost bin is closed because it includes both bounds. If you divide a dataset with the bin edges 0, 5, 10, and 15, then there are three bins:The first and leftmost bin contains the values greater than or equal to 0 and less than 5.The second bin contains the values greater than or equal to 5 and less than 10.The third and rightmost bin contains the values greater than or equal to 10 and less than or equal to 15.The function np.histogram() is a convenient way to get data for histograms:It takes the array with your data and the number (or edges) of bins and returns two NumPy arrays:hist contains the frequency or the number of items corresponding to each bin.bin_edges contains the edges or bounds of the bin.What histogram() calculates, .hist() can show graphically:The first argument of .hist() is the sequence with your data. The second argument defines the edges of the bins. The third disables the option to create a histogram with cumulative values. The code above produces a figure like this:You can see the bin edges on the horizontal axis and the frequencies on the vertical axis.It’s possible to get the histogram with the cumulative numbers of items if you provide the argument cumulative=True to .hist():This code yields the following figure:It shows the histogram with the cumulative values. The frequency of the

This is subsequently convert to Pandas Dataframe object to be used in cases where there is need for the historical data.The following shows the sql database class. It has methods that can quickly build up database of historical price (see class method: setup_db_for_hist_prices_storage), update new data (see class method: scan_and_input_recent_prices) and retrieve the historical prices and dividend info from database (see class method: retrieve_hist_data_fr_db ). The number of data retrieved can be set using the date interval.import re, sys, os, time, datetime, csvimport pandasimport sqlite3 as litefrom yahoo_finance_historical_data_extract import YFHistDataExtrfrom Yahoo_finance_YQL_company_data import YComDataExtr #use for fast retrieval of data.class FinanceDataStore(object): """ For storing and retrieving stocks data from database. """ def __init__(self, db_full_path): """ Set the link to the database that store the information. Args: db_full_path (str): full path of the database that store all the stocks information. """ self.con = lite.connect(db_full_path) self.cur = self.con.cursor() self.hist_data_tablename = 'histprice' #differnt table store in database self.divdnt_data_tablename = 'dividend' ## set the date limit of extracting.(for hist price data only) self.set_data_limit_datekey = '' #set the datekey so ## output data self.hist_price_df = pandas.DataFrame() self.hist_div_df = pandas.DataFrame() def close_db(self): """ For closing the database. Apply to self.con """ self.con.close() def break_list_to_sub_list(self,full_list, chunk_size = 45): """ Break list into smaller equal chunks specified by chunk_size. Args: full_list (list): full list of items. Kwargs: chunk_size (int): length of each chunk. Return (list): list of list. """ if chunk_size =target_datekey] def convert_date_to_datekey(self, offset_to_current = 0): """ Function mainly for the hist data where it is required to specify a date range. Default return current date. (offset_to_current = 0) Kwargs: offset_to_current (int): in num of days. default to zero which mean get currnet date Returns: (int): yyymmdd format """ last_eff_date_list = list((datetime.date.today() - datetime.timedelta(offset_to_current)).timetuple()[0:3]) if len(str(last_eff_date_list[1])) == 1: last_eff_date_list[1] = '0' + str(last_eff_date_list[1]) if len(str(last_eff_date_list[2])) == 1: last_eff_date_list[2]