![]() Two of these features lend a hand toward securing your database a bit: Startup options, shown in Figure B, let you determine specific behaviors when the database opens. ![]() Figure A Use the AutoExec macro to initiate important security settings. For instance, the macro in Figure A runs a user-defined function named Startup(), which does the real work of checking and setting security properties before the user can go to work. To create an AutoExec macro, simply name a new macro AutoExec. AutoExec is a special macro that executes when the database opens. Use the AutoExec macro to check and reset security options that processes might have changed during the last work session. 1: Check and reset settings using the AutoExec macro Note: This article is also available as a PDF download. But by combining a number of them, you can get a level of security that’s better than no security at all. These tips don’t offer reliable security, in and of themselves. Just keep in mind that the following tips prevent accidents by honest users and the mildly curious with enough knowledge to be dangerous. When the best security measures aren’t possible (or necessary), you can implement less robust security measures to protect your data and design. User-level security is complicated and deploying it takes time and special knowledge. In the Access world, the next best thing is the user-level model (which Access 2007 doesn’t even support). The operating system employs the best security, but it’s not always practical, especially on a stand-alone system. That’s why it’s so important to protect it. Even if the data isn’t directly involved in the exchange of goods or services, it still has value. Here are some simple ways to add a few layers of security to a database.ĭata is an asset. Please drop me an note with any feedback you have.10 tips for securing a Microsoft Access databaseĪ few best practices can go a long way toward protecting your Access data from careless or overly curious users. You should refer to Yahoo!'s terms of useĭetailes on your rights to use the actual data downloaded. Intended for research and educational purposes. It'sĪn open-source tool that uses Yahoo's publicly available APIs, and is The LICENSE.txt file in the release for details.ĪGAIN - yfinance is not affiliated, endorsed, or vetted by Yahoo, Inc. Yfinance is distributed under the Apache Software License. Yfinance relies on community to investigate bugs and contribute code. Optional (if you want to use pandas_datareader) $ pip install yfinance -upgrade -no-cache-dir -pre Same format as pandas_datareader's get_data_yahoo(). Method to use yfinance while making sure the returned data is in the If your code uses pandas_datareader and you want to download dataįaster, you can "hijack" pandas_data_yahoo() How to download single or multiple tickers into a singleĭataframe with single level column names and a ticker column.How to correctly read the the multi-level columns after.Names, with a level for the ticker and a level for the stock price yfinance returns a pandas.DataFrame with multi-level column.The following answer on Stack Overflow is for How to deal with SECOND * 5), # max 2 requests per 5 seconds bucket_class = MemoryQueueBucket,īackend = SQLiteCache( "yfinance.cache"), Limiter = Limiter( RequestRate( 2, Duration. If you want to use a proxy server for downloading data, use:įrom requests import Session from requests_cache import CacheMixin, SQLiteCache from requests_ratelimiter import LimiterMixin, MemoryQueueBucket from pyrate_limiter import Duration, RequestRate, Limiter class CachedLimiterSession( CacheMixin, LimiterMixin, Session): # data available via: opt.calls, opt.puts news # get option chain for specific expiration opt = msft. earnings_dates # show ISIN code - *experimental* # ISIN = International Securities Identification Number msft. # Note: If more are needed use msft.get_earnings_dates(limit=XX) with increased limit argument. mutualfund_holders # Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default. ![]() quarterly_cashflow # see `Ticker.get_income_stmt()` for more options # show holders msft. ![]() quarterly_balance_sheet # - cash flow statement msft. quarterly_income_stmt # - balance sheet msft. # show financials: # - income statement msft. capital_gains # only for mutual funds & etfs # show share count msft. history_metadata # show actions (dividends, splits, capital gains) msft. # show meta information about the history (requires history() to be called first) msft. info # get historical market data hist = msft.
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