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video
Using a database ORM in Python
ORMs let you work with databases by way of a programming language's native metaphors, instead of by constructing raw database commands as strings. In this video we'll look at a simple ORM for Python, Peewee, and how it uses Python...
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Top R tips and news from RStudio Global 2021
See how to speed up your R code, customize your graphics, and more
video
Smart Go: Arrays and slices
Learn about working with arrays and slices, two variable types Go uses to create collections of similar objects.
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Smart Go: Go's base variable types
Learn the basic variable types of the Go language: the variety of integers, the basics of strings and runes, and the way floating-point and complex numbers are expressed in Go's type system.
Google services, apps hit by global outage
The company’s popular business apps and services, including Gmail, Docs, Workspace, Sheets and Meet were knocked offline for more than a half hour Monday morning.
Salesforce scoops up team chat pioneer Slack for $27.7B
Slack’s popular business chat app will be integrated with Salesforce’s cloud tools, serving as the front end for its Customer 360 portfolio.
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Introduction to Go packages
The Go language has a wide variety of third-party packages available for use in your programs. Learn the basics of how to import and work with them in this video.
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Which programming language should you learn?
Selecting which programming language is most appropriate to learn can be a daunting task. While there is overlap among them, they each excel at different functions. InfoWorld senior writer Serdar Yegulalp joins Juliet to discuss the...
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Using memoization in Python
Memoizing lets you cache the output of functions when they return predictable results. Python has a built-in system for memoizing functions, lru_cache, that can speed execution of code. Learn how to make the most of lru_cache in this...
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Pyston, an alternate runtime for Python
Pyston, created originally at Dropbox, aims to speed up execution of Python programs with various acceleration techniques like just-in-time compilation ("JITting"). In this video we demonstrate Pyston's speedups -- still modest, but...
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Smart Go: Introduction to the Go language
The Go language, created by folks at Google, has been with us for a decade and been the basis for many important enterprise projects like Docker and Kubernetes. Watch a simple Go program in action to get an idea of what it's like to...
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Python 32- and 64-bit editions: What's the difference and why does it matter?
Python comes in both 32- and 64-bit editions. Which one should you choose, and what difference will it make? And if you're stuck not being able to use the optimal version, what can you do about it? (Link to the site described in...
How Microsoft went from "Linux is a cancer." to "Microsoft Loves Linux."
It's been a long, strange trip but it's always driven by two motives: Making good products and money.
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Python for loop: How to easily iterate over collections of items
If you have a collection of items in Python, like a list or a dictionary, Python's "for" construction lets you loop through it easily and work with each element in turn. Learn the basics, and avoid a few of the pitfalls, in this video....
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Python lists: Sorting lists, either in-place or by creating new lists
Python lists can be sorted one of two ways: in-place, or by generating a new list from the old one. Learn about the mechanics of the "sorted()" function and ".sort()" method, what scenarios they're best for, and how to perform custom...
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Python lists: Slicing, or obtaining portions of lists from lists
Python's slice syntax lets you take portions of object collections, such as lists. Learn how to use slices efficiently and correctly, and avoid some of the gotchas associated with slicing.
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Python lists: The basics of a common way to store groups of objects in Python
Lists are a built-in data structure for Python for keeping together groups of objects in an ordered way. Here we'll cover the basics of the list object and how to perform common operations with it.
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How to use Python decorators to modify functions with other functions, simplifying complex code
Python's decorator syntax gives you a convenient way to change the behaviors of functions without having to rewrite them, and reduce boilerplate in code. Learn the basics of the decorator syntax, and how to use them in your own...
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