Lynda - Python for JavaScript Developers


Lynda - Python for javascript Developers


https://www.lynda.com/Python-tutorials/Python-javascript-Developers/2366895-2.html
Do you need to learn Python for your current job, for the job you want, or just for fun? In this course, instructor Ronnie Sheer shows you how you can leverage your existing knowledge of javascript to get started programming in Python. Ronnie compares Python and javascript, then covers how to set up and run a Python environment. He discusses how to write code that adheres to Python conventions, which can prevent bugs. Ronnie explains some of the basic logic in Python, including the use of indentation, how to write and debug control flow, how to use Python try/except appropriately, and more. He goes over objects and class definitions, then explores Python’s data model feature and mixins class. Ronnie goes into iteration in Python and shows how you can write more concise and elegant code in Python by using zip, enumerate, and list comprehensions. He concludes with a challenge that shows you how to apply your knowledge of javascript and Python to improve a small program

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Lynda - Python Data Science Mistakes to Avoid

Python Data Science Mistakes to Avoid

English | 47m 24s | Video 720p | Subtitles

Whether you're a master in Python or you're still learning, chances are you're making simple mistakes that cost you time and productivity. 

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Lynda - Python: Programming Efficiently

Python: Programming Efficiently

English | 2h 19m | Video 720p | Subtitles

Cut down on your development time by learning how to write elegant code in an efficient manner, specifically in Python—the popular and pragmatic computer language.

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Python Data Structures and Algorithms
Python Data Structures and Algorithms
Software developers know that efficient underlying architecture is essential to the technologies we use every day. Knowledge of data structures, and the supported algorithms, helps developers choose the most suitable solution for a given context, making them better programmers who stand out to their company, clients, or prospective employers. In this course, leveraging the Python programming language, instructor Robin Andrews uses a combo of visual, theoretical, and hands-on programming approaches to explain concepts in a fun and accessible way. Robin explains some of the most important data structures such as stacks, queues, and priority queues, and how these are used by search algorithms such as depth-first search, breadth-first search, and the A-star (A*) algorithm. He shows how to trace the execution of algorithms, which is useful for path finding within mazes.

 

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Python Data Structures: Dictionaries
Python Data Structures: Dictionaries
Dictionaries are a common data structure in Python programming, designed to hold a sequence of key-value pairs. Dictionaries are dynamic, can be nested, and are preferable to lists in situations where you would want to search for and retrieve data with the same key. Being able to use dictionaries effectively is critical to mastering Python and create more efficient code. In this course, Deepa Muralidhar reviews the syntax and real-world use cases for dictionaries. Discover how to create a simple dictionary, iterate through the data, incorporate operations and comparators, and compare dictionaries to other common data structures such as lists, sets, and tuples. Plus, find out how to use dictionary comprehension to automate dictionary generation by merging lists or arrays.

 

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Python Object-Oriented Programming
Python Object-Oriented Programming
The object-oriented programming (OOP) features in Python make it easier to build programs of increasing complexity and modularity. In this course, you can learn how to apply core OOP 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. Begin by brushing up on some object-oriented basics, and then use Python features like magic methods to make your classes integrate tightly with the Python language and data classes to dramatically reduce the amount of boilerplate code needed to build data-centric objects.

 

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Lynda - Python GUI Development with Tkinter - 802858
Lynda - Python GUI Development with Tkinter
Put an end to writing command-line interfaces for your programs. Use Tkinter, the Python package for creating themed interface elements with the Tk GUI toolkit. Join Barron Stone in this course as he walks through the most popular Tk widgets and shows you how to customize their appearance and behavior to fit your application. Learn how to manage the placement of those widgets on the GUI and make them react to user behavior with event-driven code. The final chapter takes you through the entire start-to-finish process of building the user interface for an application, so you can see how all of these techniques work in a real-world development scenario.
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Lynda - Python Data Structures: Stacks, Queues, and Deques - 779747
Lynda - Python Data Structures: Stacks, Queues, and Deques
Data structures like stacks and queues come up frequently in interviews for technical roles. Though many candidates may never encounter data structures in day-to-day programming, showing a mastery of these concepts can help you rock your next interview—and add to your coding toolkit. 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. Challenges in each chapter help practice your new skills and prepare for your next interview.
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Lynda - Python Theory for Network Engineers - 772337
Lynda - Python Theory for Network Engineers
Python allows you to build scripts to automate complex network configuration. It is the most widely used programming language for software-defined networking, and is a critical skill for new network engineers. This course teaches the very basics of network programming with Python—the theoretical building blocks that will lead to better scripts. Learn the fundamentals of the language, including objects and variables, strings, loops, and functions. Discover how to use lists, tuples, and dictionaries, and integrate specialized Python libraries and modules such as Netmiko and telnetlib. Skip ahead to concentrate on the topics of relevance to you, or watch the entire course from beginning to end to build your core skills. Instructor David Bombal doesn't make you wait before you can start automating networks. Along the way, he shows how to quickly and easily build basic functional scripts to configure routers and switches using GNS3, Cisco IOS, and Python, so that you can put your new skills to immediate use.
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Lynda - Python Network Programmability: Scaling Scripts - 769299
Lynda - Python Network Programmability: Scaling Scripts
The days of configuring networks with only the CLI are drawing to a close. Python extends the capabilities of network programming, allowing you to build complex scripts that can easily scale to fit the needs of your network. This training course shows how to use Netmiko—a Python library for SSH management of network hardware—to write scripts to perform a number of network configurations. Instructor David Bombal shows how to configure Cisco routers and switches by iterating from a simple script with one connection and one command. He shows how to grow and improve the code over time, building into a powerful script that can read multiple commands and multiple IPs from a file, prompt for user credentials, handle errors, and find specific devices. He also shows how to scale scripts with encrypted passwords and multithreading, which allows you to execute several commands simultaneously.
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