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    3. O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python

    Posted By: ParRus
    Date: 7 Jan 2020 14:49:31
    O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python
    WEBRip | English | MP4 | 1920 x 1080 | AVC ~2451 Kbps | 29.970 fps
    AAC | 125 Kbps | 48.0 KHz | 1 channel | ~6 hours | 6.02 GB
    Genre: Video Tutorial / Development, Programming

    When should you use Python’s built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately.
    Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you’ll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types.

    Topics include:
    Built-in Python data structures
    Python standard library types
    Design principles for data structures
    Data structures and associated algorithm examples
    Graph representations
    Heaps, circular buffers, balanced binary trees, and their variants

    also You can find my other useful: programming-posts

    General
    Complete name : 4. Analysis Techniques.mp4
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    Codec ID : mp42 (mp42/mp41)
    File size : 337 MiB
    Duration : 18 min 14 s
    Overall bit rate mode : Variable
    Overall bit rate : 2 581 kb/s
    Encoded date : UTC 2015-09-21 20:52:49
    Tagged date : UTC 2015-09-21 20:53:24
    TIM : 00:00:00:00
    TSC : 30000
    TSZ : 1001

    Video
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    Format settings : CABAC / 3 Ref Frames
    Format settings, CABAC : Yes
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    Codec ID : avc1
    Codec ID/Info : Advanced Video Coding
    Duration : 18 min 14 s
    Source duration : 18 min 14 s
    Bit rate mode : Variable
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    Maximum bit rate : 6 000 kb/s
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    Scan type : Progressive
    Bits/(Pixel*Frame) : 0.039
    Stream size : 320 MiB (95%)
    Source stream size : 320 MiB (95%)
    Language : English
    Encoded date : UTC 2015-09-21 20:52:49
    Tagged date : UTC 2015-09-21 20:52:49
    Color range : Limited
    Color primaries : BT.709
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    ID : 2
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    Codec ID : mp4a-40-2
    Duration : 18 min 14 s
    Source duration : 18 min 14 s
    Bit rate mode : Variable
    Bit rate : 125 kb/s
    Maximum bit rate : 193 kb/s
    Channel(s) : 1 channel
    Channel positions : Front: C
    Sampling rate : 48.0 kHz
    Frame rate : 46.875 FPS (1024 SPF)
    Compression mode : Lossy
    Stream size : 16.4 MiB (5%)
    Source stream size : 16.4 MiB (5%)
    Language : English
    Encoded date : UTC 2015-09-21 20:52:49
    Tagged date : UTC 2015-09-21 20:52:49

    Screenshots

    O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python

    O'Reilly - Designing Data Structures in Python

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