Best python course on linkedin learning

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For all the Python learners out there, these LinkedIn python courses are a hit in 2022

Python is now used in every sector from entertainment industry to the world’s leading space center NASA adding to these there are many other enterprises, social media organizations such as Facebook, moving onto Netflix, Microsoft, Apple and the list will go on. Python programming is an interpreted high-level general-purpose computer programming language. Pythons design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python Course is open source, interpreted, high level language and provides great approach for object-oriented programming. Python Programming one of the best computer programming languages used by data scientist for various data science projects/application. Python course provide great functionality to deal with mathematics, statistics and scientific function. There are plenty of python courses available online and there are also institutions everywhere who teaches a number of python courses. Here are the top Python Courses in LinkedIn. To know more about them get into the article and learn about the top courses provided by LinkedIn. 

Python Courses on LinkedIn

1. Learning Python

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Joe Marini who has been building software professionally for some of the biggest and best-known companies in Silicon Valley for more than 30 years. In this course, he will give you all a detailed introduction to the Python programming language. He’ll be teaching how to determine if Python is installed on your system and how to install it if it isn’t already there and how to build first Python program in just a few lines of code. Then you all can learn how to examine the basics of the language, data types, variables, loops, functions, classes, and more. Also, the programming languages such as HTML, XML, JSON etc.

2. Python Essential Training

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 A thorough understanding of Python 3, the latest version, will help you write more efficient and effective scripts. In this course, Bill Weinman demonstrates how to use Python 3 to create well-designed scripts and maintain existing projects. This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions. Join the course to learn how types and values are related to objects; how to use control statements, loops, and functions; and how to work with generators and decorators. Bill also introduces the Python module system and shows examples of Python scripting at work in a real-world application.

3. Python Object-Oriented Programming

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The object-oriented programming features in Python make it easier to build programs of increasing complexity and modularity. In this course, you can learn how to apply core object-oriented programming principles like inheritance and composition along with some Python-specific features like “magic” methods and data classes to build programs that are extensible and efficient. 

4. Programming Foundations: Real-World Examples

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 New programmers need to learn to bridge the gap: to connect the theory to practice. This series of training videos will explain basic programming concepts by relating them to real-life objects, actions, and scenarios. Each video will focus on a different analogy, mixing live action with segments that demonstrate the concepts in code.

5. Programming Foundations: Data Structures

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In this course, Kathryn Hodge provides an in-depth overview of the most essential data structures for modern programming. Starting with simple ways of grouping data, like arrays and structs, she’ll gradually introduces more complex data structures, such as linked lists, stacks and queues, hash tables, and trees and graphs. Each lesson is accompanied by a real-world, practical example that shows the data structures in action. 

6. Programming Foundations: Algorithms

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The author and developer Joe Marini explains some of the most popular and useful algorithms for searching and sorting information, working with techniques like recursion, and understanding common data structures. He also discusses the performance implications of different algorithms and how to evaluate the performance of a given algorithm.

7. Python Essential Libraries

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In this course, the instructor introduces four essential libraries that every Python developer should consider that address common development challenges. Learn how to format, calculate, and compare dates and times with Pendulum and retrieve remote data with the Requests library, which also offers advanced features such as timeouts and sessions. Then find out how to perform batch file operations, including reading and writing data, and directory operations, such as searching, with PyFilesystem.

8. Python Standard Library Essential Training

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In this course, learn how to leverage the modules in the Python standard library to make building applications with Python even easier. Discover how the Python standard library can help you solve common coding challenges and make it easier to process text, manipulate data, and work with files and directories. Plus, see how the library can help you work with numbers, calculate and format dates and times, parse HTML, and more.

9. Python Data Structures: Stacks, Queues, and Deques

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In this course, Erin Allard shows how to use Python to build the top three linear data structures: stacks, queues, and deques. She compares and contrasts the data structures and shows how to implement them in an object-oriented way in Python. Learn how to define each class and use Python’s built-in methods to accomplish the necessary behaviors, such as push, pop, and peek; enqueue and dequeue; and add_front and remove_rear.

10. Python Data Structures: Linked Lists

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Erin Allard, the instructor digs into the subject of linked lists, sharing what you need to know to communicate your understanding of this data structure to an interviewer. Erin goes over abstract data types and helps you conceptualize nodes in linked lists. She also discusses how to create both the singly linked list and doubly linked list classes and goes over how to implement key methods.

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