By James O. Knowlton
Python: Create-Modify-Reuse is designed for all degrees of Python builders attracted to a realistic, hands-on approach of studying Python improvement. This publication is designed to teach you ways to exploit Python (in mixture with the uncooked processing energy of your laptop) to complete real-world projects in a extra effective manner. do not search for an exhaustive description of the Python language––you will not locate it. The book's major function isn't really to completely hide the Python language, yet quite to teach how one can use Python to create strong, real-world applications.
This e-book is for builders with a few event with Python who are looking to discover how one can increase full-blown purposes. it's also for builders with adventure in different languages who are looking to study Python through construction powerful functions. it's well-suited for builders who wish to “learn by means of doing,” instead of exploring a language characteristic by means of characteristic. To get the main out of the publication, you have to comprehend uncomplicated programming principles.
This publication starts off with a uncomplicated assessment of the Python language, designed for these conversant in different languages yet new to Python. it really is by way of a number of chapters, every one of which describes an entire venture that may be used as-is or changed and prolonged to fit your specific reasons. you will find functions that entry databases, benefit from net applied sciences, and facilitate community communications, to call a couple of. furthermore, and extra very important than the applied sciences you may be brought to, you are going to how to use Python to unravel genuine demanding situations. Following those chapters are chapters that disguise getting access to working method assets and debugging and checking out, respectively.
This e-book is framed round the code itself. it's because builders tend to be searching for easy methods to do whatever; and, as with many actions, you tips on how to do whatever via looking at how others do and making an attempt it your self. which will know the way a
for loop works, you will discover
for loops in my code, yet that isn't the thrust of the ebook. in its place, this booklet indicates you the way to do issues: the best way to construct a content material administration process, the right way to construct a try out administration procedure, how one can manage a procedure for monitoring shopper follow-up, etc. alongside the best way, you will find out how to speak with a SQL database, the right way to act as an internet server or converse with one, find out how to entry working process providers, and more.
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Additional resources for Python: Create - Modify - Reuse
The first thing you would do is create a snapshot of C:\Program Files (this is before you install your program). Call the snapshot file something meaningful, and probably date it. snp (the current date as I write this). 2. This one’s pretty self-explanatory. Make sure you install to the default location, in the most standard way possible. 3. At this point you have created a “base” snapshot and installed your program. It’s time to create a snapshot post-install. snp. At this point, if you want to make sure you named your snapshot files correctly, you can choose option 2 from the menu and list snapshot files.
That’s because you only use a return when you have some value to return to the code that called the function. Sometimes (as in this case) a function is asked to do something but isn’t asked to return a value. The first thing it does is initialize a couple of values: snaplist is an (initially) empty list that will hold the list of snapshot files. curdir member). You assign the output to a list with the identifier filelist. You then run a for loop that narrows down the list: This for loop iterates through each item in the filelist.
That’s exactly what we did here. You encapsulated the retrieval of both files inside a single try block for code conciseness. You could have put each one in its own try block if you wanted to provide a more specific error message. The next thing you do is the actual comparison. You have imported Python’s difflib module in order to be able to compare two strings and show differences, so that’s what you implement in these next two lines: As you can see, you diff the directories and files, respectively, and assign the differences to the lists: result_dirs and result_files.