GraalVM Enterprise 21.2—Productivity and Performance
The latest GraalVM Enterprise 21.2 release delivers both new performance features, and improved developer experience—including enhancements to GraalVM Native Image to make it easier than ever to compile applications into native executables. Let’s take a look at some of the highlights of the GraalVM ...
Find out why DeFi has the potential to usurp traditional finance (TradeFi).
This article explains how DeFi enables cheaper transactions and cheaper financing. Decentralized technology provides an opportunity to create innovative financial products without being hindered by legacy infrastructure.
There are many DeFi protocols consisting of decentralized exchanges (DEXs), liquidity aggregators, margin trading platforms, asset management platforms, and lending platforms.
This article lists the most notable DeFi protocols such as Aave, yEarn, Compound, Uniswap, Maker DAO, etc.
Read this article about yield farming to learn how to make more crypto with your crypto.
Yield farming involves lending out your cryptocurrency using smart contracts. Investors lock up cryptocurrency to get rewards. They use different strategies to maximize yield/ROI.
Learn how to build a DeFi app. Read about development considerations such as level of decentralization, blockchain choice, crypto wallet integration, etc.
Solidity is the programming language of the future.
It gives you the rare and sought-after superpower to program against the “Internet Computer”, i.e., against decentralized Blockchains such as Ethereum, Binance Smart Chain, Ethereum Classic, Tron, and Avalanche – to mention just a few Blockchain infrastructures that support Solidity.
In particular, Solidity allows you to create smart contracts, i.e., pieces of code that automatically execute on specific conditions in a completely decentralized environment. For example, smart contracts empower you to create your own decentralized autonomous organizations (DAOs) that run on Blockchains without being subject to centralized control.
NFTs, DeFi, DAOs, and Blockchain-based games are all based on smart contracts.
This course is a simple, low-friction introduction to creating your first smart contract using the Remix IDE on the Ethereum testnet – without fluff, significant upfront costs to purchase ETH, or unnecessary complexity.
Equipped with cutting-edge salvaging tech, carve & slice spaceships to recover valuable materials. Upgrade your gear to take on more lucrative contracts and pay your billion credits debt to LYNX Corp!
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Today's Wordle Answer (#349) - June 3, 2022
It's time to end the work week on a positive note and what better to do that than by guessing the Wordle correctly. We have another answer guide on tap for you in case you're struggling with the Wordle on June 3.
Today's Wordle isn't trivial by any means, although it could throw some people off in the beginning. I managed to guess the answer in three attempts, mainly thanks to my starting word yielding three correct letters. From there, it was an easy step to nail down a couple more letters between the second and third guesses. However, other people might not be as fortunate as me, which is why we've laid out some hints and even the full answer to the June 3 Wordle down below.
Today's Wordle Answer - June 3, 2022
First, we have some tips to get you thinking in the right direction. These tips will primarily relate to gaming, so be prepared to think in that realm.
Today we are introducing a new Oracle Cloud Infrastructure (OCI) native service to help manage Java runtimes and applications on-premises or on any cloud. Java Management Service (JMS) is now generally available (GA).
Python also has generator expressions that allow you to create an iterable by modifying and potentially filtering each element in another iterable and passing the result in a function, for instance.
Does Python have a tuple comprehension statement? And why or why not? And what to use instead if not?
This tutorial will answer all your questions but first, let’s repeat the three related concepts:
list comprehension,
dictionary comprehension,
generator expression
If you already know these concepts well, go ahead and skip right to the end of the tutorial!
List Comprehension
List comprehension is a compact way of creating lists. The simple formula is [expression + context].
Expression: What to do with each list element?
Context: What elements to select? The context consists of an arbitrary number of for and if statements.
The example [x+100 for x in range(3)] creates the list [100, 101, 102].
lst = [x for x in range(3)]
print(lst)
# [100, 101, 102]
Dictionary Comprehension is a concise and memory-efficient way to create and initialize dictionaries in one line of Python code.
It consists of two parts: expression and context.
The expression defines how to map keys to values.
The context loops over an iterable using a single-line for loop and defines which (key,value) pairs to include in the new dictionary.
The following example shows how to use dictionary comprehension to create a mapping from women to man:
men = ['Bob', 'Frank', 'Pete']
women = ['Alice', 'Ann', 'Liz'] # One-Liner Dictionary Comprehension
pairs = {w:m for w, m in zip(women, men)} # Print the result to the shell
print(pairs)
# {'Bob': 'Alice', 'Frank': 'Ann', 'Pete': 'Liz'}
Also, watch the following video for a quick recap on dictionary comprehension:
A generator function is a Pythonic way to create an iterable without explicitly storing it in memory. This reduces memory usage of your code without incurring any additional costs.
The following generator expression shows how you can use a list-comprehension like statement but pass it into the sum() function that expects an iterable:
print(sum(random.random() for i in range(1000)))
The code consists of the following parts:
The print() function prints the result of the expression to the shell.
The sum() function sums over all values in the following iterable.
The generator expression random.random() for i in range(1000) generates 1000 random numbers and feeds them into the outer sum() function without creating all of them at once.
This way, we still don’t store the whole list of 1000 numbers in memory but create them dynamically.
There are two big advantages to using a generator:
(1) You don’t have to create a huge list first and store it in memory but generate the next element as you iterate over it.
Tuple comprehension such as (x+100 for x in range(3)) does not exist in Python for two main reasons:
Ambiguity: The expression (x+100 for x in range(3)) for tuple comprehension would be ambiguous because of the parentheses (...). It could also mean “create a generator expression and use the precedence as indicated by the parenthesis”. In that case, Python wouldn’t know if it should return a tuple or a generator. This is the main reason why tuple comprehension doesn’t exist.
Python Style: If you want to dynamically create a container data structure and fill it with values, you should use lists. Lists are for looping; tuples for structs. Lists are homogeneous; tuples heterogeneous. Lists for variable length.
#python tip: Generally, lists are for looping; tuples for structs. Lists are homogeneous; tuples heterogeneous. Lists for variable length.
You can use the following alternatives instead of tuple comprehension:
tuple(x+100 for x in range(3)) creates the tuple (100, 101, 102) using a generator expression.
(1, *[x+100 for x in range(3)]) creates the tuple (1, 100, 101, 102) combining manual tuple creation with list comprehension.
You can find those two examples in the following code snippet:
# Tuple Comprehension Alternative 1
t = tuple(x+100 for x in range(3))
print(t)
# (100, 101, 102) # Tuple Comprehension Alternative 2
t = (1, *[x+100 for x in range(3)])
print(t)
# (1, 100, 101, 102)
Where to Go From Here?
Enough theory. Let’s get some practice!
Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.
To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?
You build high-value coding skills by working on practical coding projects!
Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?
If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.
If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.
FREE ConflictCraft & FLASH Deals: Bungie, CK3, Sold Out
ConflictCraft FREEbie
[freebies.indiegala.com] Your goals are to control all points on the map and destroy enemy bases while keeping a close eye on your resource management and defense of friendly units.
The games are free to keep until June 9 2022 - 15:00 UTC.
Next week's freebie: mystery
We are welcoming everyone to join our discord[discord.gg]. We are more active there on finding giveaways, small or large, and there are daily raffles you can participate.
Destiny 2's Solar 3.0 Subclass Is Getting A Substantial Buff Next Week
Destiny 2's Season of the Haunted launched with a substantial rework of the Solar subclass, but according to developer Bungie, the fiery overhaul of those Guardian powers needs some more tweaking.
In the latest This Week at Bungie blog post, Bungie explained that several issues were preventing players from becoming fire gods on the battlefield and that several modifications were on the horizon. For example, Warlocks who want to specialize in healing don't have enough flexibility to do so because two of their three Aspects focus on aerial mobility or Scorching.
Titans currently lack ways to keep their momentum going without needing to run Throwing Hammer or burning multiple cooldowns, and the Ember of Benevolence fragment didn't behave as expected.