Image
EAN-139781401323981   EAN-13 barcode 9781401323981
Product NameCook This Now: 120 Easy and Delectable Dishes You Can't Wait to Make
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 1401323987
SKUNU-ING-00838449
Price New12.50 US Dollars    (curriencies)
Price Used2.38 US Dollars    (curriencies)
Width1.25 inches    (convert)
Height9.63 inches    (convert)
Length7.63 inches    (convert)
Weight185 hundredths pounds    (convert)
AuthorMelissa Clark
Page Count416
BindingHardcover
Published10/04/2011
FeaturesHyperion Books
Long Description"This collection of brilliantly conceived, seasonally driven recipes has quickly become one of my favorites. Easy to prepare and incredibly satisfying, this is inventive comfort food at its best. A must for any passionate home cook."
--Gwyneth Paltrow, author of My Father's Daughter "Fig Snacking Cake? Stupendous Hummus? Whatever Greens You've Got Salad? I want all of it! Melissa's smart, welcoming style and love of food infuse this wonderful cookbook. It's an extremely personal collection of recipes, each with its own subtle twists and original flavors, and on every page you hear Melissa's voice reassuringly guiding you around the kitchen."
--Amanda Hesser, author of The Essential New York Times Cookbook and co-founder of food52.com

Melissa Clark, New York Times Dining Section columnist, offers a calendar year's worth of brand-new recipes for cooking with fresh, local ingredients--replete with lively and entertaining stories of feeding her own family and friends.

Many people want to eat well, organically and locally, but don't know where or even when to begin, since the offerings at their local farmers' market change with the season. In Cook This Now, Melissa Clark shares all her market savvy, including what she decides to cook after a chilly visit to the produce section in the dead of winter; what to bring to a potluck dinner that's guaranteed to be a hit; and how she feeds her marathon-running husband and finicky toddler. In addition, she regales us with personal stories about good times with family and friends, and cooking adventures such as her obsessive cherry pie experimentation and the day she threw out her husband's last preserved Meyer lemon.

In her welcoming, friendly voice, Melissa takes you inside her life while providing the dishes that will become your go-to meals for your own busy days. Recipes include Crisp Roasted Chicken with Chickpeas, Lemons, and Carrots with Parsley Gremolata; Baked Apples with Fig and Cardamom Crumble; Honey-Roasted Carrot Salad with Arugula and Almonds; Quick-Braised Pork Chops with Spring Greens and Anchovies; Coconut Fudge Brownies--and much more.

Melissa delivers easy, delicious meals featuring organic, fresh ingredients that can be uniquely obtained during each particular month. It can be a real challenge to feed families these days, but Melissa's recipes and inviting writing encourage home cooks to venture outside of the familiar, yet please everyone at the table.
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Created02-09-2013 1:22:32pm
Modified08-30-2018 1:30:48am
MD5c460b1c2c0a3ca77bba30f674c45c47b
SHA256d4e6aed318900845dfa766273d8a16ec46cb137f99fbad2f4b49df1a2dca1a7a
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Article of interest

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;

Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;

You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.

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