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384.3 KB
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001. Chapter 1. Introduction.mp4
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MP4
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29.7 MB
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002. Chapter 1. Code design patterns and why they do not always work.mp4
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MP4
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28.9 MB
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003. Chapter 1. Architecture design patterns and why they do not always work.mp4
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MP4
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26.9 MB
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004. Chapter 2. Code duplication is not always bad Code duplication vs. flexibility.mp4
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MP4
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23.5 MB
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005. Chapter 2. Libraries and sharing code between codebases.mp4
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25.1 MB
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006. Chapter 2. Code extraction to a separate microservice.mp4
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23.1 MB
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007. Chapter 2. Looking at the tradeoffs and disadvantages of a separate service.mp4
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28 MB
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008. Chapter 2. Improving loose coupling by code duplication.mp4
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18.1 MB
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009. Chapter 2. Looking at inheritance and tight coupling.mp4
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27.7 MB
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010. Chapter 3. Exceptions vs. other patterns of handling errors in your code.mp4
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30.9 MB
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011. Chapter 3. Best patterns to handle exceptions in the code that you own.mp4
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22.3 MB
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012. Chapter 3. Anti-patterns in exception handling.mp4
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20.1 MB
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013. Chapter 3. Exceptions from third-party libraries.mp4
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MP4
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19.4 MB
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014. Chapter 3. Exceptions in multithread environments.mp4
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MP4
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23.4 MB
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015. Chapter 3. Functional approach to handling errors with Try.mp4
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21.1 MB
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016. Chapter 3. Using Try in production code.mp4
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MP4
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22 MB
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017. Chapter 3. Performance comparison of exception-handling code.mp4
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MP4
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22 MB
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018. Chapter 4. Balancing flexibility and complexity.mp4
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24.5 MB
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019. Chapter 4. Allowing clients to provide their own metrics framework.mp4
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22.5 MB
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020. Chapter 4. Guarding against unpredictable usage of the hooks API.mp4
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MP4
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27.2 MB
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021. Chapter 4. Providing extensibility of your APIs via listeners.mp4
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17.9 MB
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022. Chapter 4. Flexibility analysis of an API vs. the cost of maintenance.mp4
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MP4
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17.3 MB
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023. Chapter 5. Premature optimization vs. optimizing the hot path Decisions that impact code performance.mp4
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MP4
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19 MB
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024. Chapter 5. Optimizing processing based on false assumptions.mp4
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MP4
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21.1 MB
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025. Chapter 5. Hot paths in your code.mp4
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25.6 MB
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026. Chapter 5. A word service with a potential hot path.mp4
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15.5 MB
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027. Chapter 5. Hot path detection in your code.mp4
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24.4 MB
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028. Chapter 5. Improvements for hot path performance.mp4
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MP4
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23.8 MB
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029. Chapter 5. Optimizing word exists using a cache.mp4
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23.7 MB
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030. Chapter 6. Simplicity vs. cost of maintenance for your API.mp4
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MP4
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29.2 MB
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031. Chapter 6. Directly exposing settings of a dependent library.mp4
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MP4
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27.3 MB
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032. Chapter 6. Adding new setting for the cloud client library.mp4
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MP4
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19.8 MB
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033. Chapter 6. Deprecatingremoving a setting in the cloud client library.mp4
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MP4
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34 MB
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034. Chapter 7. Working effectively with date and time data.mp4
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15.7 MB
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035. Chapter 7. Machine time Instants, epochs, and durations.mp4
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16 MB
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036. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 1.mp4
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18.6 MB
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037. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 2.mp4
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19 MB
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038. Chapter 7. Time zones, UTC, and offsets from UTC Part 1.mp4
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17.3 MB
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039. Chapter 7. Time zones, UTC, and offsets from UTC Part 2.mp4
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24.3 MB
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040. Chapter 7. Date and time concepts that hurt my head.mp4
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MP4
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17.2 MB
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041. Chapter 7. Preparing to work with date and time information.mp4
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17.3 MB
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042. Chapter 7. Clarifying date and time requirements Part 1.mp4
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19.8 MB
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043. Chapter 7. Clarifying date and time requirements Part 2.mp4
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MP4
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21.9 MB
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044. Chapter 7. Using the right libraries or packages.mp4
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MP4
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35.6 MB
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045. Chapter 7. Improving testability by avoiding defaults Part 1.mp4
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20.5 MB
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046. Chapter 7. Improving testability by avoiding defaults Part 2.mp4
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16.2 MB
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047. Chapter 7. Representing date and time values in text Part 1.mp4
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28 MB
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048. Chapter 7. Representing date and time values in text Part 2.mp4
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27.4 MB
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049. Chapter 7. Explaining code with comments.mp4
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24 MB
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050. Chapter 7. Handling ambiguous or skipped times.mp4
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25.1 MB
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051. Chapter 8. Working with evolving time zone data.mp4
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26.7 MB
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052. Chapter 8. Leveraging data locality and memory of your machines.mp4
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26.9 MB
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053. Chapter 8. Data partitioning and splitting data.mp4
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18.2 MB
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054. Chapter 8. Partitioning vs. sharding.mp4
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19.3 MB
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055. Chapter 8. Join big data sets from multiple partitions.mp4
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30.9 MB
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056. Chapter 8. Data processing Memory vs. disk.mp4
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17.9 MB
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057. Chapter 8. Calculating access times.mp4
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19.5 MB
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058. Chapter 8. Implement joins using Apache Spark.mp4
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MP4
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28.1 MB
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059. Chapter 9. Third-party libraries Libraries you use become your code.mp4
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34.7 MB
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060. Chapter 9. Concurrency models and scalability.mp4
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29.7 MB
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061. Chapter 9. Testability.mp4
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15 MB
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062. Chapter 9. Testing with fakes (test double) and mocks.mp4
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MP4
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29.6 MB
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063. Chapter 9. Dependencies of third-party libraries.mp4
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21.2 MB
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064. Chapter 9. Choosing and maintaining third-party dependencies.mp4
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26.6 MB
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065. Chapter 9. Security and updates.mp4
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22.9 MB
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066. Chapter 10. Consistency and atomicity in distributed systems.mp4
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MP4
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22.7 MB
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067. Chapter 10. Producing data and idempotency.mp4
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MP4
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34.6 MB
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068. Chapter 10. A naive implementation of a deduplication library.mp4
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13.9 MB
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069. Chapter 10. Common mistakes when implementing deduplication in distributed systems.mp4
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31.2 MB
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070. Chapter 10. Making your logic atomic to prevent race conditions.mp4
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MP4
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30.2 MB
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071. Chapter 11. Delivery semantics in distributed systems.mp4
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28 MB
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072. Chapter 11. Producer and consumer applications based on Apache Kafka.mp4
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23.2 MB
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073. Chapter 11. The producer logic.mp4
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23.2 MB
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074. Chapter 11. Consumer code and different delivery semantics.mp4
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MP4
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14.8 MB
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075. Chapter 11. Restarting from the earliest or latest offsets.mp4
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24.3 MB
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076. Chapter 11. Leveraging delivery guarantees to provide fault tolerance.mp4
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13.3 MB
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077. Chapter 12. Managing versioning and compatibility.mp4
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MP4
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25.8 MB
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078. Chapter 12. Semantic versioning.mp4
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21.8 MB
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079. Chapter 12. Versioning for libraries.mp4
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25.1 MB
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080. Chapter 12. Source, binary, and semantic compatibility Part 1.mp4
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25.3 MB
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081. Chapter 12. Source, binary, and semantic compatibility Part 2.mp4
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27.8 MB
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082. Chapter 12. Techniques for handling breaking changes.mp4
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30.7 MB
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083. Chapter 12. Managing internal-only libraries.mp4
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33.3 MB
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084. Chapter 12. Common versioning strategies Part 1.mp4
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17.7 MB
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085. Chapter 12. Common versioning strategies Part 2.mp4
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20.1 MB
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086. Chapter 12. Further versioning considerations.mp4
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23.2 MB
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087. Chapter 12. Versioning for data storage.mp4
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25.1 MB
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088. Chapter 12. Migrating data within a storage system.mp4
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20.7 MB
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089. Chapter 12. Expecting the unexpected.mp4
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24.8 MB
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090. Chapter 12. Separating API and storage representations.mp4
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27.8 MB
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091. Chapter 13. Keeping up to date with trends vs. cost of maintenance of your code.mp4
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13.9 MB
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092. Chapter 13. Do-it-yourself (DIY) dependency injection.mp4
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26 MB
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093. Chapter 13. When to use reactive programming.mp4
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17.2 MB
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094. Chapter 13. Using CompletableFuture.mp4
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18.8 MB
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095. Chapter 13. When to use functional programming.mp4
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30.4 MB
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096. Chapter 13. Using lazy vs. eager evaluation.mp4
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18.6 MB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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