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
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
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Complete name : 4. Analysis Techniques.mp4
Format : MPEG-4
Format profile : Base Media / Version 2
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
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Codec ID : avc1
Codec ID/Info : Advanced Video Coding
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Bit rate mode : Variable
Bit rate : 2 451 kb/s
Maximum bit rate : 6 000 kb/s
Width : 1 920 pixels
Height : 1 080 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 (30000/1001) FPS
Standard : NTSC
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.039
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Language : English
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Tagged date : UTC 2015-09-21 20:52:49
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Color primaries : BT.709
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Audio
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Format : AAC
Format/Info : Advanced Audio Codec
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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
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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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O'Reilly - Designing Data Structures in Python
