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Dumo is a puzzle platform game where you need to switch characters in order to pick up all the gems. It is probably one of the most addictive and fun games ever created; with tons of dark humor, smooth gameplay, and high replayability value. Open source dungeon building sim 'KeeperRL' adds in a new Warlord game mode. Logo: Shop by category.

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Download Cheat Engine 7.2 For Mac. I have tried and logging in with my alt, and has no problems doing such, would or could, you guys do something. Dungeon Keeper 2 is everything its predecessor was, only better and badder! Dev was supportive on one question I raised. Walk east a few steps and the ground will crumble. The games are inspired by Infiniminer Dwarf Fortress and Dungeon Keeper created by Markus Persson the founder of Mojang AB. The game involves players creating and destroying various types of blocks in a three dimensional environment. Find helpful customer reviews and review ratings for Dungeon Keeper 2. The latest official patch was 1.7.

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Tarokka.com 2.0 - choose your deck artwork, remove cards from the deck, and lock cards to always show

Hey guys! Just released Tarokka.com 2.0.
See it here: https://tarokka.com
Warning: It goes without saying, but don't click the Dungeon Master's view if you're a player. It contains massive spoilers!
Features (mostly new!)
  • Artwork from three decks:
    • The original AD&D Forbidden Lore deck
    • The 5E Gale Force Nine deck
    • A colorized version of the Gale Force Nine deck courtesy of Nefermais
    • (The 3E Sword & Sorcery deck is coming soon!)
  • Cards are revealed with a 3D effect
  • Any card can be removed from the deck entirely, to prevent awkward pacing issues with your campaign
  • Each card can be locked, to guarantee that card will always be the one revealed
  • All changes are saved by your browser
What is this?
It's for your online game. Open the Dungeon Master's view with the button at the top right. Set the pages side by side. Refresh the player view for a new reading.
The idea is that you can present just the player view over your Google Meet or Zoom call while reading the auto-generated notes that are only visible to you, the Dungeon Master. Works in Chrome, Safari, and Firefox. Desktop only. Haven't tried it with Edge, but it probably works.
submitted by RobotFlavored to CurseofStrahd

I know Python basics, what next?

tl;dr Resources (exercises, projects, debugging, testing, cheatsheets, books) to help take the next steps after learning Python basics. I'd welcome feedback and suggestions.
What to learn next is an often asked question. Searching for what next on /learnpython gives you too many results. Here's some more Q&A and articles on this topic:

Exercises and Projects

I do not have a simple answer to this question either. If you feel comfortable with programming basics and Python syntax, then exercises are a good way to test your knowledge. The resource you used to learn Python will typically have some sort of exercises, so those would be ideal as a first choice. I'd also suggest using the below resources to improve your skills. If you get stuck, reread the material related to those topics, search online, ask for clarifications, etc — in short, make an effort to solve it. It is okay to skip some troublesome problems (and come back to it later if you have the time), but you should be able to solve most of the beginner problems. Maintaining notes will help too, especially for common mistakes.
Once you are comfortable with basics and syntax, the next step is projects. I use a 10-line program that solves a common problem for me — adding body { text-align: justify } to epub files that are not justify aligned. I didn't know that this line would help beforehand, I searched online for a solution and then automated the process of unzipping epub, adding the line and then packing it again. That will likely need you to lookup documentation and go through some stackoverflow Q&A as well. And once you have written the solution and use it regularly, you'll likely encounter corner cases and features to be added. I feel this is a great way to learn and understand programming.

Debugging

Knowing how to debug your programs is crucial and should be ideally taught right from the beginning instead of a chapter at the end of the book. Think Python is an awesome example for such a resource material.
Sites like Pythontutor allow you to visually debug a program — you can execute a program step by step and see the current value of variables. Similar feature is typically provided by IDEs like Pycharm and Thonny. Under the hood, these visualizations are using the pdb module. See also Python debugging with pdb.
Debugging is often a frustrating experience. Taking a break helps (and sometimes I have found the problem in my dreams). Try to reduce the code as much as possible so that you are left with minimal code necessary to reproduce the issue. Talking about the problem to a friend/colleague/inanimate-objects/etc can help too — known as Rubber duck debugging. I have often found the issue while formulating a question to be asked on forums like stackoverflow/reddit because writing down your problem is another way to bring clarity than just having a vague idea in your mind. Here's some more articles on this challenging topic:
Here's an interesting snippet (modified to keep it small) from a collection of interesting bug stories.
A jpeg parser choked whenever the CEO came into the room, because he always had a shirt with a square pattern on it, which triggered some special case of contrast and block boundary algorithms.
See also curated list of absurd software bug stories.

Testing

Another crucial aspect in the programming journey is knowing how to write tests. In bigger projects, usually there are separate engineers (often in much larger number than code developers) to test the code. Even in those cases, writing a few sanity test cases yourself can help you develop faster knowing that the changes aren't breaking basic functionality.
There's no single consensus on test methodologies. There is Unit testing, Integration testing, Test-driven development and so on. Often, a combination of these is used. These days, machine learning is also being considered to reduce the testing time, see Testing Firefox more efficiently with machine learning for example.
When I start a project, I usually try to write the programs incrementally. Say I need to iterate over files from a directory. I will make sure that portion is working (usually with print statements), then add another feature — say file reading and test that and so on. This reduces the burden of testing a large program at once at the end. And depending upon the nature of the program, I'll add a few sanity tests at the end. For example, for my command_help project, I copy pasted a few test runs of the program with different options and arguments into a separate file and wrote a program to perform these tests programmatically whenever the source code is modified.
For non-trivial projects, you'll usually end up needing frameworks like built-in module unittest or third-party modules like pytest. See Getting started with testing in Python and calmcode: pytest for discussion on these topics.

Intermediate Python resources

  • Official Python docs — Python docs are a treasure trove of information
  • Calmcode — videos on testing, code style, args kwargs, data science, etc
  • Practical Python Programming — covers foundational aspects of Python programming with an emphasis on script writing, data manipulation, and program organization
  • Intermediate Python — covers debugging, generators, decorators, virtual environment, collections, comprehensions, classes, etc
  • Effective Python — insight into the Pythonic way of writing programs
  • Fluent Python — takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time
  • Serious Python — deployment, scalability, testing, and more
  • Pythonprogramming — domain based topics like machine learning, game development, data analysis, web development, etc
  • Youtube: Corey Schafer — various topics for beginners to advanced users
Algorithms and Design patterns

Handy cheatsheets

I hope these resources will help you take that crucial next step and continue your Python journey. Happy learning :)
This content is from my blog post
submitted by ASIC_SP to Python

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