By Jason R. Briggs
Python is a robust, expressive programming language that's effortless to profit and enjoyable to exploit! yet books approximately studying to application in Python will be type of boring, grey, and dull, and that's no enjoyable for anyone.
Python for children brings Python to lifestyles and brings you (and your mom and dad) into the area of programming. The ever-patient Jason R. Briggs will consultant you thru the fundamentals as you scan with special (and usually hilarious) instance courses that function starving monsters, mystery brokers, thieving ravens, and extra. New phrases are outlined; code is coloured, dissected, and defined; and quirky, full-color illustrations hold issues at the lighter side.
Chapters finish with programming puzzles designed to stretch your mind and advance your realizing. by way of the top of the e-book you'll have programmed whole video games: a similar to the well-known Pong and "Mr. Stick guy Races for the Exit"—a platform online game with jumps, animation, and masses more.
As you strike out in your programming event, you'll find out how to:
* Use primary facts buildings like lists, tuples, and maps
* manage and reuse your code with services and modules
* Use keep an eye on buildings like loops and conditional statements
* Draw shapes and styles with Python's turtle module
* Create video games, animations, and different graphical wonders with tkinter
Why should still severe adults have all of the enjoyable? Python for children is your price tag into the superb international of laptop programming.
Read or Download Python for Kids: A Playful Introduction to Programming PDF
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Additional info for Python for Kids: A Playful Introduction to Programming
Next, we need to consider whether, by allowing zero values for dates, we are also making our x axis substantially longer (my count query yielded 1211 rows, but there are a total of 1822 days in the range specified, which is 1998-2002). Maybe showing zero count days might not work; if the graph is so crowded, we cannot see the gaps anyway. To compare, we can quickly run the same data into Google Spreadsheets (you can do this in Excel or D3 too), but this time, we will only select our count column to build the graph, thereby forcing Google Spreadsheets to not show dates on the x axis.
Yet, there are still some options that can differentiate one delimited format from another. The first differentiator is how each instance of the data (each row) is separated. Usually at the end of a line, a new line, or a carriage return, or both are used depending on the operating environment in use during the creation of the file. Seeing invisible characters In the preceding example, the new line or carriage return is invisible. How do you see the invisible characters? We will read the same file in Text Wrangler on a Mac (similar full-featured editors such as Notepad++ are available for Windows), where we can use the Show invisibles option (located by navigating to View | Text Display).
Type conversion at the SQL level Here, we will walk through a few common cases when SQL can be used to manipulate data types. Example one – parsing MySQL date into a formatted string For this example, we will return to the Enron e-mail dataset we used in Chapter 1, Why Do You Need Clean Data?. As with the previous example, we are going to look in the message table, where we have been using the date column, which is stored as a datetime MySQL data type. Suppose we want to print a full date with spelled-out months (as opposed to numbers) and even the day of the week and time of day.
Python for Kids: A Playful Introduction to Programming by Jason R. Briggs