Python 3: : Project-based Python, Algorithms, Data Structures / Hossain, Mashrur.

Format:

Video

Author/Creator:

Hossain, Mashrur, author.

Language:

English

Subjects (All):

Python (Computer program language).

Application software--Development.

Application software.

Data structures (Computer science).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 14 hr., 27 min.)

Edition:

1st edition

Other Title:

Python three

Title on title screen: Python : programming, computer science, algorithms and data structures

Place of Publication:

Packt Publishing, 2019.

System Details:

video file

Summary:

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects About This Video Learn to code with Python while building projects and implementing algorithms and data structures Understand the fundamentals of programming languages In Detail This course is one of the most comprehensive and beginner-friendly courses on learning to code with Python—one of the top programming languages in the World—and using it to build algorithms and data structures with projects from scratch. We will walk you step-by-step through the fascinating world of Python programming using visualizations of programs as they execute, algorithms as they run, and data structures as they are constructed. Nothing is left to the imagination; you'll see it all and then build it all. Since it caters to a broad spectrum of students, the course is split into two parts: part 1 focusing on the Python programming language and part 2 focusing on Algorithms, data structures, performance analysis, and larger-scale projects. Part 1: Python and programming fundamentals Text - Strings Numbers - ints and floats Execution flow control - branching with if/elif/else Compound data types - lists, dictionaries, tuples, and sets Iterables and iteration with generators, for and while loops, and more! Functions, execution context and frames, and building custom functions List comprehension Lambda expressions Generators and creating your own generators with yield Objects and building classes, methods, and special methods Reading from and writing to files using context managers Visualization with each topic and more! Part 2: Algorithms, Data Structures and Performance Analysis Sorting algorithms (basic) - bubble sort, selection sort, and insertion sort Sorting algorithms (advanced) - merge sort and quick sort Big O notation, complexity analysis, divide and conquer, and math visualizations Recursion in-depth with examples Searching algorithms - bisection search and hashing Data structures with linked lists, stacks, queues, trees, and binary search trees Operations with data structures - insert, search, update, and delete Multiple projects with increasing levels of complexity to tie concepts together Visualizations of all algorithms, data structure, operations, and more! All the codes and supporting files for this course are available at -

Participant:

Presenter, Mashrur Hossain.

Notes:

Online resource; Title from title screen (viewed September 27, 2019)

Title from resource description page (Safari, viewed May 19, 2020).

OCLC:

1155055333