LEADER 04386nam 22006495 450 001 9910411927103321 005 20250609110049.0 010 $a9781484257937 010 $a1484257936 024 7 $a10.1007/978-1-4842-5793-7 035 $a(CKB)4100000011354650 035 $a(DE-He213)978-1-4842-5793-7 035 $a(MiAaPQ)EBC6273704 035 $a(CaSebORM)9781484257937 035 $a(PPN)25251159X 035 $a(OCoLC)1201697297 035 $a(OCoLC)on1201697297 035 $a(MiAaPQ)EBC6270741 035 $a(EXLCZ)994100000011354650 100 $a20200725d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Python Development $eUsing Powerful Language Features in Real-World Applications /$fby Matthew Wilkes 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (XXII, 605 p. 62 illus.) 300 $aIncludes index. 311 08$a9781484257920 311 08$a1484257928 327 $aChapter 1: Prototyping and Environments -- Chapter 2: Testing, Checking and Linting -- Chapter 3: Packaging Scripts -- Chapter 4: From Script to Library -- Chapter 5: Alternative Interfaces -- Chapter 6: Speeding Things Up -- Chapter 7: Aggregation Process -- Chapter 8: Asynchronous Programming -- Chapter 9: Asynchronous Databases -- Chapter 10: Viewing the Data -- Chapter 11: Fault Tolerance -- Chapter 12: Callbacks and Data Analysis. 330 $aThis book builds on basic Python tutorials to explain various Python language features that aren?t routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process. Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference Q&A sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable. Advanced Python Development is intended for developers who can already write simple programs in Python and want to understand when it?s appropriate to use new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python. You will: Understand asynchronous programming Examine developing plugin architectures Work with type annotations Review testing techniques Explore packaging and dependency management. 606 $aPython (Computer program language) 606 $aOpen source software 606 $aComputer programming 606 $aProgramming languages (Electronic computers) 606 $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 615 0$aPython (Computer program language) 615 0$aOpen source software. 615 0$aComputer programming. 615 0$aProgramming languages (Electronic computers) 615 14$aPython. 615 24$aOpen Source. 615 24$aProgramming Languages, Compilers, Interpreters. 676 $a005.133 700 $aWilkes$b Matthew$4aut$4http://id.loc.gov/vocabulary/relators/aut$0856364 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910411927103321 996 $aAdvanced Python Development$91912477 997 $aUNINA