Python 3 Object-Oriented Programming - Second Edition: Building robust and maintainable software with object oriented design patterns in Python

Dusty Phillips

Mex$1128.99

3.9 (36 Ratings)

Paperback Aug 2015 460 pages 1st Edition

Dusty Phillips

Mex$1128.99

3.9 (36 Ratings)

Paperback Aug 2015 460 pages 1st Edition

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Key benefits

Stop writing scripts and start architecting programs
Learn the latest Python syntax and libraries
A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3

Description

Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax. Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception. Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software. You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program. You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy. This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.

Who is this book for?

If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply object-oriented programming in Python to design software, this is the book for you.

What you will learn

Implement objects in Python by creating classes and defining methods
Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface
Extend class functionality using inheritance
Understand when to use object-oriented features, and more importantly when not to use them
Discover what design patterns are and why they are different in Python
Uncover the simplicity of unit testing and why it s so important in Python
Grasp common concurrency techniques and pitfalls in Python 3
Exploit object-oriented programming in key Python technologies such as Kivy and Django.
Object-oriented programming concurrently with asyncio

Estimated delivery fee Deliver to Mexico

Standard delivery 10 - 13 business days

Mex$149.95

Premium delivery 3 - 6 business days

Mex$299.95

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Amazon verified reviews

Santhosh Apr 26, 2018

Good book for Object oriented python

Amazon Verified review

adnan baloch Sep 29, 2015

The title page of the book greets the reader with a photo of idyllic scenery with a mountain in the background. This is not just a photo. This is the place where the readers will find themselves in their minds' eyes once they are done with the book. The book's source code consists of over 200 python source files that are guaranteed to delight beginners and intermediate Python users alike. Happily, the files can be downloaded from the publisher's website for free so go ahead and witness that treasure trove for yourself. The paperback edition of this book is a must have for anyone interested in getting to grips with the object oriented features of Python 3. This second edition has the good fortune of incorporating several years of reader feedback that combines with the author's mature and seasoned grasp of the subject matter to deliver content that is highly relevant to the practical application of Python's power in solving real world computing problems. Data structures, design patterns and unit testing chapters will help the readers stand out for any serious Python development positions. New to this edition is an entire chapter devoted to concurrency that serves as pure icing on the cake especially when you factor in the fact that the world has increasingly shifted to a many-core computing era. Don't be surprised if this voluminous 460 page book turns you into an excellent Python teacher.

Weston Buckhorn Oct 13, 2015

This book is laser focused on learning OOP for people who have some programming experience but are stuck in the world of procedural programming. This is perfect for old farts who are addicted to crack-languages like the Basic family of languages. I have included a list of the code you can download below because I want people to buy this book.Ch03\3_01_inheriting_from_object.pyCh03\3_02_simple_contact_class_to_inherit_from.pyCh03\3_03_contact_inherit_supplier.pyCh03\3_04_contact_list_inheritance.pyCh03\3_05_dictionary_long_name.pyCh03\3_06_friend_overrides_init.pyCh03\3_07_friend_overrides_init_super.pyCh03\3_08_send_mail.pyCh03\3_09_send_mail_multi.pyCh03\3_10_friend_address_holder.pyCh03\3_11_friend_multi.pyCh03\3_12_contrived_diamond.pyCh03\3_14_contrived_diamond_super.pyCh03\3_15_friend_multi_super.pyCh03\3_16_polymorphic_audio.pyCh03\3_17.1_abc_container.pyCh03\3_17.2_abc_media.pyCh03\3_17_ducktype_flac.pyCh03\3_18_property.pyCh03\3_19_apartment_ugly_prompt.pyCh03\3_20_validation_function.pyCh03\3_21_apartment_nice_prompt.pyCh03\3_22_house.pyCh03\3_23_purchase_and_rental.pyCh03\3_24_house_rental.pyCh03\3_25_remaining_subclasses.pyCh03\3_26_rudimentary_agent.pyCh03\3_27_type_map.pyCh03\3_28_add_property.pyCh03\final_case_study.pyCh04\04_03_method_calls_excepting.pyCh04\4_01_even_integers.pyCh04\4_02_exception_quits.pyCh04\4_04_try_except.pyCh04\4_05_catch_specific_exception.pyCh04\4_06_catch_multiple_exceptions.pyCh04\4_07_catch_multiple_different.pyCh04\4_08_catch_as_keyword.pyCh04\4_09_finally_and_else.pyCh04\4_10_defining_an_exception.pyCh04\4_11_exception_with_custom_args.pyCh04\4_12_handle_custom_exception.pyCh04\4_13_branching_vs_exceptions.pyCh04\4_14_inventory_mock_object.pyCh04\4_15_inventory_handling.pyCh04\4_16_auth_user.pyCh04\4_17_authenticator.pyCh04\4_18_login.pyCh04\4_19_authorizor.pyCh04\4_20_test_auth.pyCh04\__pycache__\auth.cpython-34.pycCh04\auth.pyCh04\auth.pycCh05\5_01_distances_no_objects.pyCh05\5_02_distances_by_object.pyCh05\5_03_object_polygon_init.pyCh05\5_04_pytho_ugly_as_java.pyCh05\5_05_python_pretty_as_python.pyCh05\5_06_setting_name_in_method.pyCh05\5_07_setting_name_property.pyCh05\5_08_property_arguments.pyCh05\5_09_property_decorator_get.pyCh05\5_11_property_decorator_arguments.pyCh05\5_12_property_decorator_get_set.pyCh05\5_13_read_only_setattr.pyCh05\5_14_read_only_getattribute.pyCh05\5_15_cache_getter.pyCh05\5_16_average_property.pyCh05\5_17_zipsearch.pyCh05\5_18_zipprocessor.pyCh05\5_19_zipreplace_inheritance.pyCh05\5_20_scaleimage_inheritance.pyCh05\5_24_most_basic_document.pyCh05\5_25_document_cursor.pyCh05\5_26_document_using_cursor.pyCh05\5_27_string_property.pyCh05\5_28_Character_class.pyCh05\5_29_document_with_character.pyCh05\Document.pyCh05\zip_processor.pyCh05\zip_processor.pycCh06\6_01_empty_object.pyCh06\6_02_pass_tuple_to_function.pyCh06\6_03_named_tuple.pyCh06\6_04_dict_stocks.pyCh06\6_05_random_key_dict.pyCh06\6_06_setdefault_frequency.pyCh06\6_07_defaultdict_frequency.pyCh06\6_08_defaultdict_custom_function.pyCh06\6_09_counter_frequency.pyCh06\6_09_counter_poll.pyCh06\6_09_list_tuple_frequency.pyCh06\6_10_object_comparison.pyCh06\6_11_song_artist_set.pyCh06\6_12_set_operations.pyCh06\6_13_set_operations2.pyCh06\6_14_oop_pairs.pyCh06\6_15_stupid_adding_integer.pyCh06\6_16_dictsorted.pyCh06\6_17_link_parser.pyCh06\6_18_normalize_url.pyCh06\6_19_visited_links_sets.pyCh06\6_20_collect_remaining_links.pyCh06\6_21_print_collected_links.pyCh06\6_22_dict_link_collector.pyCh06\6_23_queue_link_collector.pyCh06\link_collector.pyCh07\7_01_reversible_objects.pyCh07\7_02_enumerate_line_numbers.pyCh07\7_03.1_zip_to_enumerate.pyCh07\7_03_enumerate_max_min.pyCh07\7_05_read_file.pyCh07\7_05_tdf_processor.pyCh07\7_06_write.pyCh07\7_07_with.pyCh07\7_08_context_manager.pyCh07\7_18_bad_kw_default.pyCh07\7_19_link_downloader.pyCh07\7_20_link_downloader_vararg.pyCh07\7_21_kwarg_options.pyCh07\7_22_all_arguments.pyCh07\7_23_unpacking_arguments.pyCh07\7_24_function_object.pyCh07\7_25_timer.pyCh07\7_26_timer_test.pyCh07\7_27_add_function_to_object.pyCh07\7_28_callable_repeat.pyCh07\7_29_send_email.pyCh07\7_30_send_email_dict_headers.pyCh07\7_32_mailing_list_defaultdict_set.pyCh07\7_33_mailing_list_get_emails.pyCh07\7_34_send_mailing.pyCh07\7_35_load_save.pyCh07\7_36_enter_exit.pyCh07\__pycache__\timer.cpython-34.pycCh07\mailing_list.pyCh07\timer.pyCh07\timer.pycCh08\8_01_string_creation.pyCh08\8_02_format_empty.pyCh08\8_03_format_position.pyCh08\8_04_format_some_positions_broken.pyCh08\8_05_brace_escape.pyCh08\8_06_format_kw_args.pyCh08\8_07_unlabelled_kw.pyCh08\8_08_tuple_dict_format.pyCh08\8_09_tuple_in_dict_format.pyCh08\8_10_object_formatting.pyCh08\8_11_no_format.pyCh08\8_12_currency_format.pyCh08\8_13_tabular.pyCh08\8_14_format_datetime.pyCh08\8_15_encode_bytes.pyCh08\8_16_decode_unicode.pyCh08\8_17_bytearray_replace.pyCh08\8_18_bytearray_index.pyCh08\8_23.1_basic_regex.pyCh08\8_23.2_regex_generic.pyCh08\8_23.3_match_group.pyCh08\8_23_stringio.pyCh08\8_24_basic_pickling.pyCh08\8_25_state_pickling.pyCh08\8_26_json_objects.pyCh08\8_27_template_boilerplate.pyCh08\8_28_template_process.pyCh08\8_29_template_processer_complete.pyCh09\09_08_list_comp_exclude.pyCh09\9_01_iterator.pyCh09\9_06_for_loop_converter.pyCh09\9_07_list_comp_converter.pyCh09\9_09_tdf_list_comp.pyCh09\9_10_set_comprehension.pyCh09\9_11_dict_comprehension.pyCh09\9_13_log_processor.pyCh09\9_14_log_delete_warning_expression.pyCh09\9_15_log_delete_warnings_loop.pyCh09\9_16_log_delete_warnings_object.pyCh09\9_17_log_delete_warnings_generator.pyCh09\9_18_log_delete_warnings_yield_from.pyCh09\9_19_yield_from_filesystem.pyCh09\9_20_basic_count_coroutine.pyCh09\9_21_kernel_log.pyCh09\9_22_load_dataset.pyCh09\9_23_generate_colors.pyCh09\9_24_color_distance.pyCh09\9_25_knearest.pyCh09\9_26_write_results.pyCh09\case_study_machine_learn.pyCh09\kivy_color_checker\main.pyCh09\kivy_color_classifier\main.pyCh10\10_02_simple_socket.pyCh10\10_03_simple_client.pyCh10\10_04_logging_decorator.pyCh10\10_05_gzip_decorator.pyCh10\10_06_calling_decorated_sockets.pyCh10\10_09_logging_decorator.pyCh10\10_10_decorator_syntax.pyCh10\10_11_observer_core.pyCh10\10_12_observer_observing.pyCh10\10_13_strategy_tile.pyCh10\10_15_xml_states.pyCh10\10_16_singleton_using_new.pyCh10\10_17_xml_singletonstates.pyCh10\10_18_create_database_for_template.pyCh10\10_19_template_abstract_noimple.pyCh10\10_20_template_abstract_implemented.pyCh10\10_21_template_concretes.pyCh11\11_01_age_calculator.pyCh11\11_02_age_calculator_adapted.pyCh11\11_03_age_calculator_adapt_date.pyCh11\11_04_email_facade.pyCh11\11_05_flyweight_factory.pyCh11\11_06_flyweight_init.pyCh11\11_07_flyweight_check_serial.pyCh11\11_08_car_class.pyCh11\11_09_window_commands.pyCh11\11_10_window_command_invokers.pyCh11\11_11_window_command_commands.pyCh11\11_12_window_command_function.pyCh11\11_13_document_command_callable.pyCh11\11_14_formatters.pyCh11\11_15_formatter_factories.pyCh11\11_16_composite_folder_methods.pyCh11\11_17_component_hierarchy.pyCh11\11_18_add_child.pyCh12\12_01_simplest_unittest.pyCh12\12_02_assertraises_python.pyCh12\12_03_stats.pyCh12\12_04_test_stats.pyCh12\12_05_skipping_tests.pyCh12\12_06_simplestpytest.pyCh12\12_06_simplestpytest.pycCh12\12_07_class_pytest.pyCh12\12_07_class_pytest.pycCh12\12_08_setup_teardown.pyCh12\12_08_setup_teardown.pycCh12\12_09_funcargs.pyCh12\12_09_funcargs.pycCh12\12_10_funcarg_finalizer.pyCh12\12_10_funcarg_finalizer.pycCh12\12_11_echo_server.pyCh12\12_12_pytest_echo.pyCh12\12_12_pytest_echo.pycCh12\12_13_pytest_simple_skip.pyCh12\12_13_pytest_simple_skip.pycCh12\12_14_pytest_importorskip.pyCh12\12_14_pytest_importorskip.pycCh12\12_15_pytest_skipifmark.pyCh12\12_15_pytest_skipifmark.pycCh12\12_16_mock_flightstatus.pyCh12\12_17_mock_redis.pyCh12\12_30_coverage_unittest.pyCh12\__pycache__\stats.cpython-34.pycCh12\__pycache__\test_mock.cpython-34-PYTEST.pycCh12\casestudy\__pycache__\test_vigenere_cipher.cpython-34-PYTEST.pycCh12\casestudy\__pycache__\vigenere_cipher.cpython-34.pycCh12\casestudy\test_vigenere_cipher.pyCh12\casestudy\test_vigenere_cipher.pycCh12\casestudy\vigenere_cipher.pyCh12\casestudy\vigenere_cipher.pycCh12\casestudy\vigenere_cipher1.pyCh12\stats.pyCh12\stats.pycCh12\test_mock.pyCh13\13_01_two_basic_threads.pyCh13\13_02_thread_wait.pyCh13\13_03_parallel.pyCh13\13_04_prime_factor.pyCh13\13_05_post_search.pyCh13\13_06_futures.pyCh13\13_07_basic_async.pyCh13\13_08_asyncio_dns.pyCh13\13_09_async_multiprocessing.pyCh13\13_10_async_client.pyCh13\case_study\compress_bmp.pyCh13\case_study\decompress_to_bmp.pyThere are no code files present for Chapters 1 and 2.

Ecki Dec 13, 2021

Das Buch ist für Leser mit Basiskenntnissen in Python geeignet.

Amazon Customer Sep 12, 2018

Helped with some small issues, great read

Python 3 Object-Oriented Programming - Second Edition: Building robust and maintainable software with object oriented design patterns in Python

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