#Code Similarity Checker Python

[codedetect]

Python code similarity checker "codequiry: for Efficient Code Review"

Copying open source code without accreditation or permission still counts as plagiarism. Check the unoriginal code using a  like Code Similarity Checker Python Codequiry. Visit our website and learn more about our advanced plagiarism detection software.

[zerogpt24]

Find the Best Free Plagiarism Software for Students – ZeroGPT

Plagiarism is a serious issue in academia and professional writing. Whether you’re a student submitting an assignment, a researcher publishing a paper, or a developer writing code, originality is key. Fortunately, tools like ZeroGPT offer a free plagiarism software for students, ensuring that their work is unique and free from unintentional duplication. If you need an efficient paper checker, PDF plagiarism checker, or even a plagiarism checker for programming, ZeroGPT is the ultimate solution.

Why Plagiarism Checking is Essential for Students

Students often face strict academic integrity policies. Universities and colleges use plagiarism detection software to ensure submitted work is authentic. Submitting plagiarized content can lead to severe consequences, including failing grades or even expulsion. That’s why using a free plagiarism software for students is a must. It helps identify duplicated content, paraphrased sentences, and unintentional similarities before submission.

ZeroGPT’s advanced algorithms scan academic papers, essays, and research documents with high accuracy, providing detailed reports to help students correct mistakes and maintain academic integrity.

Advanced Paper Checker for Accuracy

Writing research papers, essays, and dissertations require a lot of effort, and the last thing you want is to be accused of plagiarism. Our paper checker provides in-depth analysis and a percentage-based plagiarism report, allowing students to refine their content before submission.

Key features of ZeroGPT’s paper checker include:

AI-powered content detection

Detailed plagiarism reports

Citation checking and source suggestions

Free-to-use for students

Check Plagiarism in PDF Files with Ease

Many students and professionals work with PDFs, and plagiarism detection in PDF files can be challenging. ZeroGPT offers a PDF plagiarism checker that scans PDF documents thoroughly, ensuring that even embedded texts and images are analyzed.

Advantages of using ZeroGPT’s PDF plagiarism checker:

Supports multiple file formats

Detects copied content in research papers, articles, and e-books

Provides instant, reliable plagiarism reports

Plagiarism Checker for Programming – A Must for Developers

Coding projects often require originality, and duplicated code can lead to significant issues. If you are a student or a professional developer, our plagiarism checker for programming helps you verify that your code is unique.

Benefits of using ZeroGPT’s plagiarism checker for programming:

Detects similarities in programming languages like Python, Java, C++, and more

Ensures originality in coding assignments and professional projects

Compares against a vast database of open-source and academic repositories

Why Choose ZeroGPT?

ZeroGPT stands out as a trusted plagiarism checker for students, writers, and programmers. Our tool is fast, efficient, and offers free scanning options. With free plagiarism software for students, a paper checker, a PDF plagiarism checker, and a plagiarism checker for programming, we cover all plagiarism detection needs in one platform.

Don’t risk academic penalties or professional reputation damage. Try ZeroGPT’s plagiarism checker today and ensure originality in your work!

[nostalgebraist]

Had an idea and thought I'd ask you about it, since you seem knowledgeable about it: with Codex and similar showing that large language models can write code that compiles, do you think it would be feasible to fine tune a LLM to produce proof checker code from math papers, in order to help automate rigorous proof checking? Possibly using multiple tries or a tree search to allow the model multiple attempts at producing a valid result? If not, how far off do you think a tool like this would be?

I don't know much about proof checkers, which limits how helpful I can be here.

Also, I'm not sure I understand the concept... you do still have to read over the code and verify that it expresses the intended proof, right? So the idea is that correct code is much harder to write than to verify? (Or just more tedious to write than verify, I guess.)

The most obvious way to train something like this would involve a very large dataset of math papers and their translations into code. Lacking that, you could go the "unsupervised machine translation" route and mostly train on the two domains separately.

In either case, I'd expect the limiting factor to be the quantity of existing proof checker code.

Like, Codex is not that helpful, especially for nontrivial tasks, and it had all of github to train on (well, the python part of it, but that's still a lot edit: forgot the deployed Codex model knows various langs). I've heard OpenAI is working on more impressive code models, so I don't think Codex is the limit of how useful they can be, but I wouldn't expect much out of them in niche, high-abstraction languages/domains for the time being.

[authorquiet30-blog]

Learn Java With Online Java Courses.

Archive Of All Blog Posts Tagged With Java.

#toc background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px; .toctitle font-weight: 700;text-align: center;

Content

Qualified Software Program Examination Automation Architect.

Automation Testing Resources.

Examination Automation With Selenium Webdriver.

Leading Tips For Discovering Java Shows.

Suggestion # 3: Chrome Devtools: Mimicing Network Conditions

Licensed Software Program Test Automation Engineer.

W3Schools is maximized for testing, knowing, and training. Examples might be simplified to enhance analysis and fundamental understanding.

For details on how to produce a custom regulation describe Producing Personalized Rules chapter. Offer the Name of the project and choose the "Source" tab to configure Resource Code to examine. In this tab you need to set up the resource settings for your application.

Which is better developer or tester?

As per my opinion, JAVA is one of the most preferred language for web automation using selenium. However nowadays demand of other programming language is also gradually increase due to which other languages like Python and C# are also in demand.

Automation Testing Resources.

Online GDB is the online device that sustains a built-in debugger. If you create some complex program, and have to debug in situation of an error, the debugger will come in convenient. It began for Java, but now sustains practically 70 languages. JDoodle permits only a file however you do not have to specify any kind of filename. Some on-line compilers like Codiva as well as JDoodle are suitable for finding out shows as well as practicing interview troubles.

Examination Automation With Selenium Webdriver.

You can pick to include total source folder for evaluation or can include chosen files. The very first step in code evaluation is to arrangement a New Java Code Test Task.

Planning for coding competitions were never this much enjoyable! Obtain points, and also go up with the CodeChef rankings. Use our practice area to much better prepare yourself for the several programs. obstacles that occur through-out the month on CodeChef. Reasoning devices immediately include annotations to your code, making it even less complicated to start using the checkers.

During the development stage of an application, programmers are faced with several obstacles and need to consider different scenarios. To tackle Performance testen without compromising on both performance as well as effectiveness of the application the programmer really commonly stumbles upon various issues while coding, such as. Their project management software simply does not function. IDEOne supplies an API for compilation as a solution, that you can utilize to build your very own on-line IDE to be utilized on your website.

If this does well, you'll locate the certification chain information in the log documents, as well. AppPerfect Java Code Examination provides helpful records as an outcome of code analysis. You can see violations category sensible in addition to extent wise aiding you repairing the crucial offenses first.

Our examinations are made to place prospects right into either the pass team or the stop working team so you can discover the very best prospects faster.

The process of restructuring existing computer system code without transforming its outside habits.

Change the pass/fail ratings, time requirements, and a lot more.

It is a fundamental part of most shows languages.

A range is a container of a set variety of items of a similar kind.

To track the violations designer wise you can inspect Programmer Wise reports where infractions are reported programmer sensible. To see all the Code Metrics collected, pick the Metrics tab.

It restricts usage of SHA-1-signed certifications for TLS connections. If you definitely have to, contrast it to older versions as well as readjust. However be warned that you are decreasing security by doing so. Constantly favor making use of ideal certificates on the server-side. If the link could not be developed so far, commonly because of SSL handshake errors, the program attempts a third time making use of an all relying on count on manager.

Top Tips For Learning Java Shows.

Clang-- The cost-free Clang task includes a static analyzer. Since version 3.2, this analyzer is included in Xcode.

Are software testers in demand?

In the age of information technology, software development for mobile devices, cloud computing, and business management will remain in high demand for many years to come, and part of that demand will include the need for quality assurance testing.

Develop A Junit Test Course

The Mosaic Structure guidebook includes a listing of inference tools. MALPAS-- A formal methods tool that uses guided charts and normal algebra to prove that software under analysis correctly fulfills its mathematical specification. PyCharm-- Cross-platform Python IDE with code examinations readily available for analyzing code on-the-fly in the editor and bulk analysis of the entire task.

Attempt your hand at one of our lots of method problems as well as submit your remedy in the language of your option. Our programming competition court approves services in over 55+ shows languages.

What are the common API testing types?

Use Jira to Plan, Track, and Work faster. Jira is an issue-tracking tool that's mainly used by software developers to track, organize, and prioritize bugs, new features, and improvements for certain software releases. Here at K15t Software, we carefully organize the development process for every Scroll add-on.

Recommendations, tutorials, and examples are frequently examined to prevent mistakes, yet we can not call for full accuracy of all content. While using this website, you agree to have actually reviewed and also approved our regards to usage, personal privacy and also cookie policy.Copyright by Refsnes Information. Find the file java.security in your JAVA_HOME/ jre/lib/securityfolder. There is a setup called jdk.certpath.disabledAlgorithmswhich was changed substantially in Java 1.8.0 _ 141.

[nearmesblog]

A Step-with the aid of using-Step Guide a code audit is a whole assessment of delivering code in a programming task with the motive of discovering insects, safety breaches, or violations of app development programming conventions.

Aim of each code audit is to make a given app development

Secure.

Without insects and defects.

Clean to preserve and be similar.

Updated with the modern standards.

Consistent with coding first-rate practices.

Code audit vs code assessment

After reading the segment, you can think everything you’ve truly described can be finished with the help of a code assessment, and we run the ones regularly.

It’s right that the terms could probableand then be used interchangeably, however, there are a few suitable software development versions amongst them.

Code assessment web development is contained interior one group—the app developers assessment each special code, and they popularity simplest on one particular part.

A code audit, at the opportunity hand, usually issues the complete venture and is executed through a manner of the method of a person outside of the group be it special flutter developers, or perhaps an of doors company.

Advantages

An audit enables the display that your utility is ready to be launched and introduced for your clients. Malfunctions or safety breaches might also potentially charge you a lot of money and your reputation.

An up-to-date, clean, and technologically relevant task is extra attractive for flutter developers. High-extraordinary code will trap first-rate talents.

Audited code lets simplify and streamline the software development process, which in turn technique artwork can improve faster with fewer blockers.

Python code audit guidelines

Code repository, initially very crucial to check for a version manage device that tracks and gives adjustments to the supply and verify if it’s well-maintained.

Software structure

a) Technology selections:the component of this segment is to verify if the tech stack is the simplest choice for the venture and if it’s internally compatible. When you start verifying the app development technology selections, the first step needs to be to check if all app development used are named constant with the LTS version and if they may be up to date.

b) Deployment configuration:It’s really well worth checking which offerings are used to assist the utility. You need to take note of the software development program imparting web website hosting offerings and the web development website hosting method.

Test whether or not the README document elements

Commands for configuration.

Commands for installation

A user’s guide.

Take place document.

Facts on copyrights and licenses.

Touch info for the vendors and app developers.

Acknowledged insects and malfunctions.

Hassle fixing section.

A changelog.

Coding first-rate practices

With Python web development, you need to check carefully whether or not or now no longer the code is compliant with the PEP 8 style guide and the PEP 257 docstring conventions.

1. Linters

Pylama.

Flake8.

2. Other standalone tools

Pylint—a supply code, computer virus, and excellent checker for Python.

PyFlakes—every other computer virus checker.

Pycodestyle — tests Python code in opposition to the fashion conventions in PEP 8.

Pydocstyle — tests compliance with Python docstring conventions.

Bandit — reveals not unusual place protection troubles in Python code.

MyPy — static kind checker for Python.

3. Code evaluation and formatting tools

Mccabe — Python complexity checker.

Radon — Python device that computes numerous metrics from the supply code.

Black — Python code formatter.

Isort — Python utility/library to kind imports.

Yapf — Python formatter.

Conclusion

A way to make certain the excellent of your code audits can help beautify your code and get rid of any modern troubles. But if upon taking walks the code audits the list of things to beautify feels too long, try getting familiar with a few genuine practices. While no longer all of them may be carried out in every app development group right here are some which might be really well worth taking into consideration.

[perfectadore-blog]

5 Factors to Consider While Choosing a C++ Code Plagiarism Checker

Plagiarism or copied content is a common thing in the world of content writing, but what most people do not know is that plagiarism also applies for programming as well. There are a lot of programming languages, and some are well-known and are used more than others. Languages like C, C++, Python and Java are some of the well-known languages, and they have dedicated communities that help each other in debugging and solving other issues. With the number of C++ resources scattered across the Internet, it not uncommon to see people plagiarizing C++ code. This is why there are C++ code checkers online.

What is a C++ Code Checker?

A C++ plagiarism checker is a tool that has the ability to search and identify plagiarisms in a C++ program. It helps the user avoid any copyright violation, and lets him or her develop a unique code. The tool is mostly useful in cases where the person is learning to code as he may refer multiple resources and copy one or two lines of code from them. However, a code plagiarism checker can also help veteran programmers. After all, there are only a finite number of solutions to a problem, and you might never know when plagiarism might creep into your code.

How Does it Work?

A code checker works in the same way as a plagiarism checker as far as the utility is concerned. It conducts a deep search on the Internet for plagiarisms, and gives a proper report. However, from a technical point of view, it is far more complex. Unlike plagiarism in texts, finding plagiarism in coding requires a bit more work. The tool has to have the ability to analyze the pattern of the code, and has to check whether the same pattern is used in any other program. By doing so it can identify the similarities in different programs, thus prompting the user about the same.

Things to Consider While Choosing a C++ Code Checker

While there are some C++ code checkers online, only a few stands a cut above the rest. To identify the best suited checker, you have to consider the following things:

1. Utility: This is the most important factor that you need to consider before committing to a code checker. If you are learning how to program, it is always advisable to stick with a short-term subscription as you will not know whether you will be consistent. If you are a programmer with a lot of experience, you can go for any subscription that suits your needs.

2. Accessibility: A plagiarism checker is a tool that you have to use often, and therefore, it must be very handy to set up and use. There are some checkers that demands you to download and install addons and packages on your computer. This may be annoying while you set up, and it may ask you to avoid some tools to do that.

3. Clarity of Reports: A report in a plagiarism checker is very important, and in fact, it is the very thing that a user wants and has paid money for. Therefore, it is important to check if the report has everything that you need. In case the report is not good, it will demand making necessary adjustments in your program. Above all, no one likes to waste their precious time by searching for a specific line in a program, which includes thousands of lines of codes.

4. Support: The software support is a thing that any piece of software needs. If the tool that you consider subscribing did not have any recent updates or does not provide any support, then it is a waste of money, and you may as well switch to something else which provides these facilities.

5. Cost-Effective Tool: The next thing that you need to look into is the pricing of the tool. It is a good idea to analyze whether the features and the service provided are worth at that particular cost. If the answer is yes, it is cost effective, and you can consider buying the checker.

These are some of the factors that can really help you find the best suited C++ code checker for you from the countless other tools available out there.

[codedetect]

Codequiry: The Trusted Python Plagiarism Checker Tool

Codequiry is an advanced Python plagiarism checker trusted by educators, developers, and institutions. It scans Python code for copied or modified patterns using advanced similarity detection, including peer and online comparisons. Built for accuracy and ease of use, Codequiry ensures code originality and helps maintain academic and professional integrity across all Python programming projects. For more details, please visit our website.

[ibilike]

Source Code Plagiarism checker and Similarity Checker by Copyleaks

The Source Code plagiarism checker by Copyleaks helps you detect code similarity online for different programming languages such as JAVA, Python, C++. https://copyleaks.com/code-plagiarism-checker

[itsrahulpradeepposts]

Top applications and Jobs of Artificial Intelligence

Top Used Applications in Artificial Intelligence

Google’s AI-powered predictions (E.g.: Google Maps)

Ride-sharing applications (E.g.: Uber, Lyft)

AI Autopilot in Commercial Flights

Spam filters on E-mails

Plagiarism checkers and tools

Facial Recognition

Search recommendations

Voice-to-text features

Smart personal assistants (E.g.: Siri, Alexa)

Fraud protection and prevention.

Artificial Intelligence Jobs

According to Indeed, demand for AI skills has more than doubled over the last three years. Job postings have gone up by 119%. Today, training an image-processing algorithm can be done within minutes, earlier the same task used to take hours. Compared to the number of job postings available there is a shortage of skilled labour available with the necessary skills. A few skills that one must learn before deep diving into an AI Career are Bayesian Networking and Neural Nets, Computer Science (coding experience with programming languages), Physics, Robotics, and various levels of math such as calculus and statistics. If you’re interested in building a career in AI, you should be aware of the various job roles available in this field. Let’s take a closer look at the different job roles in the world of AI and what skills one must possess for each job role-

Machine Learning Engineer

The role of a Machine Learning Engineer is suitable for someone who hails from a Data Science or applied research background. S/he must also be able to demonstrate a thorough understanding of multiple programming languages. S/he Should be able to apply predictive models and leverage NLP when working with enormous datasets. Familiarity with software development IDE tools such as Eclipse and IntelliJ is important too. Machine Learning Engineers are mostly responsible for building and managing platforms for various ML projects. The annual median salary of an ML Engineer is said to be $114,856. Companies typically hire individuals who have a master’s degree and in-depth knowledge about Java, Python, and Scala. Skill requirements may vary from one company to another, but analytical skills and experience with cloud applications is a plus.

Data Scientist

Collecting, analyzing, and interpreting large & complex datasets by leveraging ML and predictive analytics is one of the main tasks of a Data Scientist. Data Scientists also help in developing algorithms that enable collecting and cleaning data for analysis. The annual median salary of a Data Scientist is $120,931 and the skills required are as follows-

Hive

Hadoop

MapReduce

Pig

Spark

Python

Scala

SQL

Although the skills required may vary from one company to another, most companies require a master’s or doctoral degree in computer science. For a Data Scientist who wants to become an AI developer, an advanced computer science degree would triumph. Apart from the ability to understand unstructured data, s/he must have strong analytical and communication skills to help communicate findings with business leaders.

Business Intelligence Developer

A career in AI also includes the position of Business Intelligence (BI) developer. One of the main objectives of this role is to analyze complex datasets that will help identify business and market trends. A BI developer earns an annual median salary of $92,278. Some of the responsibilities of a BI developer include designing, modeling, and maintaining complex data in cloud-based data platforms. If you’re interested in this role, you must have strong technical as well as analytical skills. You should be able to communicate solutions to colleagues who don’t possess technical knowledge and display problem-solving skills. A BI developer is required to have a bachelor’s degree in any related field. Work experience or certifications are highly desired as well. Skills required would be data mining, SQL queries, SQL server reporting services, BI technologies, and data warehouse design.

Research Scientist

A research scientist is one of the leading careers in Artificial Intelligence. S/he should be an expert in multiple disciplines such as applied mathematics, deep learning, machine learning, and computational statistics. Candidates must have extensive knowledge concerning computer perception, graphical models, reinforcement learning, and NLP. Similar to Data Scientists, a research scientist is expected to have a master’s or doctoral degree in computer science. The annual median salary is said to be $99,809. Most companies are on the lookout for someone who has an in-depth understanding of parallel computing, distributed computing, benchmarking and machine learning.

Big Data Engineer/Architect

Among the various jobs under the field of AI, Big Data Engineer/Architects have the best-paying job with an annual median salary of $151,307. They play a vital role in the development of an ecosystem that enables business systems to communicate with each other and collate data. When compared to Data Scientists, Big data Architects or Engineers are typically given tasks related to planning, designing, and developing the big data environment on Spark and Hadoop. Companies look to hire individuals who demonstrate experience in C++, Java, Python, and Scala. Data mining, data visualization, and data migration skills are an advantage. A Ph.D. in mathematics or any related computer science field would be a bonus.

Future of Artificial Intelligence

As humans, we have always been fascinated by technological changes and fiction, right now, we are living amidst the greatest advancements in our history. Artificial Intelligence has emerged to be the next big thing in the field of technology. Organizations across the world are coming up with breakthrough innovations in artificial intelligence and machine learning. Artificial intelligence is not only impacting the future of every industry and every human being but has also acted as the main driver of emerging technologies like big data, robotics and IoT. Considering its growth rate, it will continue to act as a technological innovator for the foreseeable future. Hence, there are immense opportunities for trained and certified professionals to enter a rewarding career. As these technologies continue to grow, they will have more and more impact on the social setting and quality of life.

Getting certified in AI will give you an edge over the other aspirants in this industry. With advancements such as Facial Recognition, AI in Healthcare, Chat-bots, and more, now is the time to build a path to a successful career in Artificial Intelligence. Virtual assistants have already made their way into everyday life, helping us save time and energy. Self-driving cars by Tech giants like Tesla have already shown us the first step to the future. AI can help reduce and predict the risks of climate change, allowing us to make a difference before it’s too late. And all of these advancements are only the beginning, there’s so much more to come. 133 million new Artificial Intelligence jobs are said to be created by Artificial Intelligence by the year 2022.

If you are interested in the domain of AI and want to learn more about the subject, check out Great Learning’s PG program in Artificial Intelligence and Machine Learning.

[hydrus]

Version 289

windows

zip

exe

os x

app

tar.gz

linux

tar.gz

source

tar.gz

I had a great week. The new wx build is ready for all users, and I am back to normal schedule and work.

wx

Last week, I updated the client to an important new version of my user interface library, wxPython. It was a big change, so several bugs (tag lookup scripts broken, missing taglist scrollbars, and empty client->external file drag-and-drop were the big ones) and even a couple of crashes fell through the cracks. I believe I have now fixed pretty much everything, and I am much happier with the whole build in general, so I now recommend it for all users, including first-time users.

Please note that I fell back to Ubuntu 16.04 for my Linux build environment, and several users on different flavours report they can now run my build (the one linked above) when they previously could not. I believe this is true for some Arch users as well, which has previously been a real problem. If you have had trouble running hydrus in Linux from source (or getting the new wx going), please try the build, as you may find it just works now.

To repeat from last week: there is not a huge amount different in appearance with the new library version, but the behind-the-scenes works a lot better. There is less flickery and clunky behaviour all-around, and I've rewritten some auxilliary systems to use less CPU and memory. It was a lot of work, but I am pleased with this final result. I am feeling more enthusiastic about a similar update to Python 3 sometime this year.

Thank you to all the users who reported issues and the quick turnaround when I needed more information. If anything you reported is still happening or you discover any new crash conditions or anything, please let me know!

url classes

I got back to work on the downloader overhaul and was able to finish the new 'URL class' concept, which is a system that will eventually let any user define a site's URLs for the new downloader engine to recognise and interact with.

I have created default url classes for (I think) all the sites the client supports when you first install, and when you update, you will receive these defaults. When you next open the media viewer on a file with known urls, instead of seeing a list of web domains in the top-right URL list, you will get prettier 'gelbooru file page' or 'deviant art file page' for any recognised URL.

Please note that if you have played around with this system yourself, the update here will completely overwrite whatever you might have previously created with the new defaults. If you want to keep something, please export it in your current version before updating so you can reimport it afterwards.

misc

The options dialog now has an 'importing' page that lets you set up default 'file import options' for quiet and loud import contexts. If you prefer your page imports to only show new or inbox files, for instance, you can now set this as the default easily. You can also set up the 'exclude deleted' and minimum resolution and the other settings as well. The old 'exclude deleted' setting is removed from the 'files and trash' option page and reset to YES in both import contexts, so you if you typically do not exclude previously delete file imports, please check these new file import settings.

I have fixed an issue where thread watchers could pause themselves on certain network errors when trying to recheck. This was hitting some people on waking their computers--a bunch of their threads would check, but the computer had not yet initialised the network, and the threads would hit the error and all pause themselves. This could also happen during any other long network disconnection situation. So, thread watchers now catch network-related errors more cleverly and do a similar 'delay' system as subscriptions--they'll just wait four hours before trying again (although you can hit 'check now' to override this). Thread watchers also now prepend their names with a pause symbol, '⏸', whenever they are paused. You can set this prefix to be something else under options->downloading, like with the [DEAD] and [404] states.

full list

fixed an issue where scrollbars were only appearing on taglists after a resize event

fixed the raw filename component of file drag and drop events from the client to external programs

fixed the tag lookup scripts

fixed some wx menuhighlight issues

improved some shutdown code

fixed the add/edit namespace colours options panel, which needed to be updated to deal with the new wx's better alpha channel reporting

fixed an issue when hitting 'open externally' on a media collection

fixed a crash on client shutdown whenever closed pages were in the undo menu

think I fixed another shutdown crash

fixed a rare issue with the collect by dropdown not being able to generate a string to display

misc wx fixes

added a 'importing' page to the options dialog, which now sets the default file import options for quiet and loud file import contexts

the old and no longer used 'exclude deleted files' option is now removed from the 'files and trash' panel

finished off default url matches for all downloaders that come with the program--these will be set on update, so if you have custom ones, please export them before you update so you can import them again!

improved how urls are matched and presented for the user in the media viewer

added a 'delete "successful" file imports from the queue' entry to the file import status button right-click menu--this only removes 'successful' and 'already in db', leaving anomalies

improved locale instantiation in the client and added locale strings to the help->about dialog

you can now set the page name prefix for a paused thread checker. it defaults to a unicode pause character: ⏸

thread watchers will no longer pause on a network error during a check--they now have a 'delay' system like subscriptions, and on a network error, they will delay four hours (unless you hit 'check now')

patched in some simple 'connection cutoff' network error handling, we'll see how it does

wrote in some more proper error handling for a specific connection cutoff error that is being produced

the similar files search tree regen code now clears out orphaned files. if you have had blank 'unknown' files appear in similar files searches, please run database->regen->similar files search tree

bitmap buttons on download pages will now update using less CPU and will flicker less

improved some video rendering error reporting

fixed the 'author name' regex favourite default, which had a superfluous asterisk. if you would like to fix it yourself, please try: [^\\]+(?=\s-)

added 'flush log' debug command

client.pyw now makes a safe 'system' ui error popup if it fails to boot

next week

With the url classes now in place, I will start integrating it into the existing downloader engine. When the client can intelligently recognise any kind of url and match it to a parsing solution, we can start swapping in the new parsing engine and begin supporting downloads for any user-defined site.

[freecourses-blog]

Go: The Complete Developer's Guide (Golang)

Udemy Master the fundamentals and advanced features of the Go Programming Language (Golang) Free Download.

udemy Go: The Complete Developer's Guide (Golang) What you’ll learn: Build massively concurrent programs with Go Routines and Channels Learn the advanced features of Go Understand the differences between commonly used data structures Prove your knowledge with dozens of included quiz questions Apply Interfaces to dramatically simplify complex programs Use types to future-proof your code and reduce the difficulty of refactors Requirements: Solid experience with another programming language - Javascript, Python, Ruby, Java, or similar Go: The Complete Developer's Guide (Golang) Description: Go is an open source programming language created by Google. As one of the fastest growing languages in terms of popularity, its a great time to pick up the basics of Go! This course is designed to get you up and running as fast as possible with Go. We'll quickly cover the basics, then dive into some of the more advanced features of the language. Don't be tricked by other courses that only teach you for-loops and if-statements! This is the only course on Udemy that will teach you how to use the full power of Go's concurrency model and interface type systems. Go is designed to be easy to pick up, but tough to master. Through multiple projects, quizzes, and assignments, you'll quickly start to master the language's quirks and oddities. Go is like any other language - you have to write code to learn it! This course will give you ample opportunities to strike out on your own and start working on your own programs.

In this course you will:

Understand the basic syntax and control structures of the language Apply Go's concurrency model to build massively parallel systems Grasp the purpose of types, which is especially important if you're coming from a dynamically typed language like Javascript or Ruby Organize code through the use of packages Use the Go runtime to build and compile projects Get insight into critical design decisions in the language Gain a sense of when to use basic language features   Go is one of the fastest-growing programming languages released in the last ten years. Get job-ready with Go today by enrolling now! Who this course is for: Anyone who wants to understand the fundamental features of Go Who is the target audience? Anyone who wants to understand the fundamental features of Go Course content of Go: The Complete Developer's Guide (Golang): Total Lecture:97 How to Get Help Link to Completed Code Environment Setup VSCode Installation Go Support in VSCode Boring Ol' Hello World Five Important Questions Go Packages Import Statements File Organization Test Your Knowledge: Packages How to Access Course Diagrams Project Overview New Project Folder Variable Declarations Test Your Knowledge: Variable Assignment Functions and Return Types Test Your Knowledge: Functions Slices and For Loops Test Your Knowledge: Slices and For Loops OO Approach vs Go Approach Custom Type Declarations Receiver Functions Test Your Knowledge: Functions with Receivers Creating a New Deck Slice Range Syntax Multiple Return Values Test Your Knowledge: Multiple Return Values Byte Slices Deck to String Joining a Slice of Strings Saving Data to the Hard Drive Reading From the Hard Drive Error Handling Shuffling a Deck Random Number Generation Testing With Go Writing Useful Tests Asserting Elements in a Slice Testing File IO Project Review Even and Odd Structs in Go Defining Structs Declaring Structs Updating Struct Values Embedding Structs Structs with Receiver Functions Pass By Value Structs with Pointers Pointer Operations Pointer Shortcut Gotchas With Pointers Test Your Knowledge: Pointers Reference vs Value Types Test Your Knowledge: Value vs Reference Types What's a Map? Manipulating Maps Iterating Over Maps Differences Between Maps and Structs Test Your Knowledge: Maps Purpose of Interfaces Problems Without Interfaces Interfaces in Practice Rules of Interfaces Extra Interface Notes The HTTP Package Reading the Docs More Interface Syntax Interface Review The Reader Interface More on the Reader Interface Working with the Read Function The Writer Interface The io.Copy Function The Implementation of io.Copy A Custom Writer Test Your Knowledge: Interfaces Interfaces Hard Mode Interfaces Website Status Checker Printing Site Status Serial Link Checking Go Routines Theory of Go Routines Channels Channel Implementation Blocking Channels Receiving Messages Repeating Routines Alternative Loop Syntax Sleeping a Routine Function Literals Channels Gotcha! Channels and Go Routines Bonus! None Go: The Complete Developer's Guide (Golang) course Do you like this course? Please buy: https://www.udemy.com/go-the-complete-developers-guide/. Read the full article

[cmsc21patricia]

CMSC 21: Module 4

Module 4 is a lot of fun for me. Arrays and strings in general are the focus of this module. Arrays in C are similar to lists in Python, which was covered last year, making learning about arrays easier. The same is true for strings. However, pointers are also used in this case. I'm not comfortable with pointers yet, so that part is difficult for me. Moving on, I believe I performed admirably in the exercise. I've already done palindrome and anagram checker programs in Python before, so I just need to tweak a few things in my code to make it work on C. Overall, I had a lot of fun with this module.

To answer the questions, an array is a collection of several values, but a variable can only hold one value at a time, which is why arrays are beneficial when there is a need to use numerous variables of the same type. In arrays, gaining access to an element is as simple as using the index number. They are also used to implement many other data structures, such as lists and strings, which are essential in coding. Because array bucket values are stored in contiguous memory regions, pointer arithmetic may be used to traverse over them, and some are allocated in row-major order. When you build an array, the type of items and size are fixed and determined. Memory is allocated immediately after the array is constructed, and it is empty until the values are assigned.

[johnattaway]

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[robertbryantblog]

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[quickclickhosting]

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[codequiry1-blog]

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