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Working with Algorithms in Python

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Working with Algorithms in Python
English | Size: Working with Algorithms in Python
Category: CBTs


Working with Algorithms in Python
Design Strategies + Effective Data Modeling = Efficient Code
By George T. Heineman
Publisher: O’Reilly Media
Final Release Date: July 2014
Run time: 8 hours 39 minutes

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems-such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences-using existing algorithms.
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O’Reilly – Learning Data Structures and Algorithms [102 MP4, Exercise Files]

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O’Reilly – Learning Data Structures and Algorithms [102 MP4, Exercise Files]
English | Size: 0.99 GB
Category: Tutorial


In this Learning Data Structures and Algorithms training course, expert author Rod Stephens will teach you how to analyze and implement common algorithms used. This course is designed for the absolute beginner, meaning no previous programming experience is required.
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MIT 6.006 – Introduction to Algorithms [47 MP4]

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MIT 6.006 – Introduction to Algorithms [47 MP4]
English | Size: 5.38 GB (5,774,789,526 bytes )
Category: Tutorial


Lecture videos from 6.006 Introduction to Algorithms, taught by Erik Demaine and Srini Devadas. The course is divided into eight units: introduction, sorting and trees, hashing, numerics, graphs, shortest paths, dynamic programming, and advanced topics. [Read more…]

From 0 to 1 Data Structures And Algorithms – See to Believe

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From 0 to 1: Data Structures And Algorithms – See to Believe
English | Size: 1.78 GB
Category: CBTs


This is an animated, visual and spatial way to learn data structures and algorithms

Our brains process different types of information differently – evolutionarily we are wired to absorb information best when it is visual and spatial i.e. when we can close our eyes and see it
More than most other concepts, Data Structures and Algorithms are best learnt visually. These are incredibly easy to learn visually, very hard to understand most other ways
This course has been put together by a team with tons of everyday experience in thinking about these concepts and using them at work at Google, Microsoft and Flipkart
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InformIT Algorithms – 24-part Video Lecture Series – 2015

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InformIT Algorithms – 24-part Video Lecture Series – 2015

English | Size: 7.31 GB (7,847,767,761 Bytes)
Category: CBTs


These Algorithms Video Lectures cover the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.
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OReilly – Working with Algorithms in Python (2014) [23 mp4]

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OReilly – Working with Algorithms in Python (2014) [23 mp4]
English | Size: 4.53 GB (4,861,614,367 bytes )
Category: Tutorial


Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems-such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences-using existing algorithms.

O’Reilly Media – Working with Algorithms in Python
WEB-Rip | MP4 | AVC1 @ 1250 Kbit/s | 1280×720 | AAC Stereo @ 128 Kbit/s 48 KHz | 9 Hours | 4.52 GB
Genre: Development, Programming | Language: English | Project Files Included [Read more…]

Coursera – Stanford – Algorithms, Design and Analysis, Part 2 [104 Webrips (mp4)]

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Coursera – Stanford – Algorithms, Design and Analysis, Part 2 [104 Webrips (mp4)]
English | Size: 1.60 GB (1,720,984,198 bytes)
Category: Theory / Reference / Doc


In this course you will learn several fundamental principles of advanced algorithm design. You’ll learn the greedy algorithm design paradigm, with applications to computing good network backbones (i.e., spanning trees) and good codes for data compression. You’ll learn the tricky yet widely applicable dynamic programming algorithm design paradigm, with applications to routing in the Internet and sequencing genome fragments. You’ll learn what NP-completeness and the famous “P vs. NP” problem mean for the algorithm designer. Finally, we’ll study several strategies for dealing with hard (i.e., NP-complete problems), including the design and analysis of heuristics. Learn how shortest-path algorithms from the 1950s (i.e., pre-ARPANET!) govern the way that your Internet traffic gets routed today; why efficient algorithms are fundamental to modern genomics; and how to make a million bucks in prize money by “just” solving a math problem!
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Coursera – Stanford – Algorithms, Design and Analysis, Part 1 [82 Webrips (mp4)]

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Coursera – Stanford – Algorithms, Design and Analysis, Part 1 [82 Webrips (mp4)]
English | Size: 1.34 GB (1,439,999,036 bytes)
Category: Theory / Reference / Doc


In this course you will learn several fundamental principles of algorithm design. You’ll learn the divide-and-conquer design paradigm, with applications to fast sorting, searching, and multiplication. You’ll learn several blazingly fast primitives for computing on graphs, such as how to compute connectivity information and shortest paths. Finally, we’ll study how allowing the computer to “flip coins” can lead to elegant and practical algorithms and data structures. Learn the answers to questions such as: How do data structures like heaps, hash tables, bloom filters, and balanced search trees actually work, anyway? How come QuickSort runs so fast? What can graph algorithms tell us about the structure of the Web and social networks? Did my 3rd-grade teacher explain only a suboptimal algorithm for multiplying two numbers?
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Pluralsight Algorithms and Data Structures – Part 1

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Pluralsight Algorithms and Data Structures – Part 1
English | Size: 462.34 MB (484,802,828 Bytes)
Category: Tutorial


In this course we will look at the core data structures and algorithms used in everyday applications. We will discuss the trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms. This is part 1 of a two-part series of courses covering algorithms and data structures. In this part we cover linked lists, stacks, queues, binary trees, and hash tables.
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Pluralsight – Algorithms and Data Structures – Part 1

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Pluralsight – Algorithms and Data Structures – Part 1
English | Size: 328.62 MB
Category:CBTs


In this course we will look at the core data structures and algorithms used in everyday applications. We will discuss the trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms. This is part 1 of a two-part series of courses covering algorithms and data structures. In this part we cover linked lists, stacks, queues, binary trees, and hash tables.
[Read more…]