Any.do

A program convenient for people with a large number of tasks and subtasks. The app allows you to create lists, prioritize, and supplement each specific function with attachments and the ability to share topics. This is a time management program that is able to solve many things at once and at the same time motivate the user. This option is provided by the Focus function. The paid version will appeal to anyone who wants to make the program visually appealing and individually designed, as well as to be able to attach personal files.

Trello

You can use the app from any browser, it is compatible with iOS and Android, and the basic set of features is free. There are two premium options. The first one is a great solution for a small team, its price is $9.99, and the second one is suitable for a large company and costs $20.83 with full support.

Todoist

A great alternative to the Any.do app. The motivating feature is productivity tracking. The creation of each project can be supplemented and expanded with options that are convenient for personal and shared use. The paid version has very useful options. These include attaching email reminders. The service is powerful, and ready-made templates help to understand it.

Google Calendar

Probably everyone who needs to use a program to plan tasks will think about this well-known service. Making up up-to-date lists, taking notes, including voice notes, and using reminders is what Google Calendar offers. Any gadget or browser is suitable for use, and the most attractive thing is that there is no fee for the service.

TickTick

It is an analog of GTasks, but completely ad-free. You can schedule tasks and manage them comfortably. The most urgent tasks will always attract attention, and the user can create schedules and distribute the workload with this time management application. Attractive features: flexible customization and intuitive design.

Habitty

Detailed statistics, detailed graphs, thorough analysis – these are the advantages of this Habit Tracker, as the developers position the application. The beautiful interface makes it pleasant and convenient to track, analyze, and plan tasks. This is a free scheduler for iOS and modern macOS.

Sectograph

The top time management apps also include a planner in the form of a visually understandable pie chart called Sectograph. Ideal for anyone who needs to learn how to feel time through visualization. Planning, accounting and control, goal setting, and a countdown function are not the only options. The app for Android devices can cost from $1.99 to $99.99 per product.

Chaos Control

A handy organizer for personal planning. The functionality allows you to set, define and achieve goals.

Users prefer this program when they need to achieve success by setting a goal and creating a to-do list to help them achieve results. Individual projects are conveniently categorized. The app is available for Mac, iOS, Android, and Windows. The cost of paid content varies and will be a maximum of $30.

Evernote

Another interesting program for time management, according to the specialists of the WonderWeb digital agency. It allows you to create and store information. It offers several ready-made templates that conveniently catalog data. Interesting: support for several languages with the option of handwriting recognition. It works on PC, Android, and iOS and costs from $2.77 to $4.50.

SaneBox

A smart system for filtering incoming emails. The application manages email by processing it based on working filters. Prioritization, recovery, and an attractive news digest are all provided by SaneBox. Integration with Yahoo, Office365, Google, and iCloud services is possible. Free trial period followed by a subscription for a specific period from $7 per month.

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1. Standard Template Library (STL) in C++

The Standard Template Library (STL) is a powerful collection of template classes and functions in C++. It provides programmers with a rich set of pre-built data structures and algorithms that simplify coding tasks.

Key Components of STL

STL consists of four primary components:

• Containers: Data structures that store collections of objects. Common containers include:
  • Vectors: Dynamic arrays that can resize automatically and allow random access to elements. They are ideal for scenarios where you need a resizable array.
  • Lists: Doubly linked lists that allow for efficient insertions and deletions. They are useful when you need to maintain a sequence with frequent modifications.
  • Sets: Collections of unique elements stored in a specific order. Sets are beneficial for maintaining unique items, such as in a leaderboard.
  • Maps: Collections of key-value pairs that provide fast retrieval based on keys. Maps are often used for counting occurrences or storing relationships.
• Algorithms: Functions that operate on containers. They include sorting, searching, and transforming data. The use of algorithms like sort() and find() can drastically reduce the amount of code you need to write.
• Iterators: Objects that allow you to traverse the elements in a container, providing a way to access and manipulate the data stored within.
• Functors: Objects that can be treated as functions or function pointers. They allow for greater flexibility in algorithms by enabling custom behavior.

Applications of STL

• Competitive Programming: STL is extensively used in coding competitions due to its efficiency and the speed it provides when implementing common data structures and algorithms.
• Software Development: Many applications benefit from the use of STL for tasks such as data management and algorithm implementation, making it easier to build robust systems.
• Game Development: STL’s data structures like vectors and maps are often employed to manage game entities and game state, improving performance and organization.

2. itertools in Python

The itertools module in Python is a standard library that provides a suite of tools for creating and working with iterators. It simplifies the handling of iterable data structures and allows for efficient looping.

Key Functions of itertools

• count(): Generates an infinite sequence of numbers, making it useful for iterating when you don’t know the length of the series in advance.
• cycle(): Repeats an iterable indefinitely. This is particularly useful for tasks requiring repeated cycles through a list, such as round-robin scheduling.
• repeat(): Produces an object a specified number of times or indefinitely, useful for creating fixed-size lists of identical elements.
• combinations(): Generates all possible combinations of a specified length from an iterable. This function is widely used in combinatorial problems.
• permutations(): Creates all possible arrangements of a specified length from an iterable, essential for problems involving order.
• product(): Computes the Cartesian product of input iterables, allowing for the generation of all possible pairs of items from multiple lists.

Applications of itertools

• Data Analysis: itertools is frequently used in data analysis tasks to manipulate and explore datasets effectively. It allows analysts to generate combinations and permutations of data without excessive loops.
• Algorithm Design: In competitive programming, itertools simplifies the implementation of complex algorithms involving combinations, permutations, and product calculations.
• Game Development: The ability to generate combinations and permutations can be advantageous when designing game mechanics or scenarios that require varied configurations of elements.

Both the Standard Template Library (STL) in C++ and the itertools module in Python are invaluable tools for programmers, especially those engaged in competitive programming and data manipulation. Mastering these libraries allows developers to write efficient, clean code while significantly reducing development time. By utilizing STL and itertools, programmers can focus on solving complex problems and implementing effective algorithms rather than getting bogged down in the intricacies of data structure management. Embracing these libraries enhances productivity and provides a competitive edge in any programming endeavor.

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1. YouTube Channels

YouTube is a treasure trove of educational content for competitive programming. Here are some channels that consistently deliver high-quality tutorials and problem analyses:

a. Errichto

Errichto is one of the most popular competitive programming YouTubers. His channel features detailed explanations of problems from various contests, including Codeforces, AtCoder, and more. His unique teaching style makes complex topics accessible and engaging.

b. Codeforces

The official Codeforces channel features video solutions for problems from past contests. These videos are especially helpful for understanding different approaches to solving competitive programming problems.

c. Tushar Roy – Coding Made Simple

Tushar Roy’s channel covers a wide range of algorithms and data structures, with a focus on problem-solving techniques. He often breaks down problems and presents step-by-step solutions, making it easier to grasp challenging concepts.

d. William Fiset

William Fiset’s channel is excellent for learning about data structures and algorithms. He provides in-depth explanations and problem solutions, often accompanied by visual aids, which enhance understanding.

e. Abdul Bari

Abdul Bari’s channel is particularly well-known for its clear explanations of algorithms and data structures. His videos cover everything from basic concepts to advanced topics, making it a great resource for learners at all levels.

2. Blogs and Websites

In addition to YouTube, many blogs and websites offer detailed problem solutions and tutorials. Here are some of the most useful ones:

a. GeeksforGeeks

GeeksforGeeks is a comprehensive resource for programmers of all levels. It provides articles on algorithms, data structures, and problem-solving techniques, along with explanations and code examples. The website often features problem analyses from various coding competitions.

b. Codeforces Blog

The Codeforces community maintains an active blog where users share solutions, tutorials, and problem discussions. It’s a great place to find in-depth analyses of specific problems and learn different approaches from fellow programmers.

c. TopCoder

TopCoder has an extensive archive of problems from its contests, complete with editorial solutions. These editorials are written by experienced programmers and provide insights into various solution strategies.

d. AtCoder

AtCoder offers editorial solutions for its programming contests. The editorials provide not only the solutions but also detailed explanations of the thought process and techniques used, making it a valuable resource for learning.

e. LeetCode Discuss

LeetCode Discuss is a community forum where users discuss solutions and strategies for problems on the platform. You can find various approaches and explanations for many popular coding problems, which can help enhance your problem-solving skills.

3. Online Competitive Programming Platforms

Many competitive programming platforms not only host contests but also provide problem discussions and solutions:

a. Codewars

Codewars is a unique platform that gamifies the process of learning coding through challenges. The discussions section allows users to share their solutions and insights, fostering a community of learning.

b. HackerRank

HackerRank has a community section where users can discuss problems and share solutions. It also provides editorial solutions for many of its challenges, which can help clarify complex problems.

c. Exercism

Exercism is focused on improving coding skills through practice. It provides mentorship and community discussions around specific exercises, allowing learners to gain feedback and alternative solutions from experienced programmers.

4. Social Media and Forums

Engaging with the programming community on social media platforms and forums can also yield great resources:

a. Reddit

Subreddits like r/CompetitiveProgramming and r/learnprogramming are excellent for finding problem discussions, resources, and recommendations for tutorials and blogs.

b. Stack Overflow

While primarily a Q&A site for programming-related questions, many users share links to resources and blog posts that can help with specific problems or topics in competitive programming.

c. Discord Servers

Many competitive programming communities operate Discord servers where members share resources, discuss problems, and provide solutions. Joining these servers can help you connect with others who are also preparing for contests.

Finding effective problem analyses is essential for improving your competitive programming skills. YouTube channels, blogs, websites, and online platforms provide a wealth of resources to help you understand different approaches and enhance your problem-solving abilities. By leveraging these resources, you can deepen your knowledge, learn from others, and become more confident in your coding skills. Remember, the key to success in competitive programming lies not only in solving problems but also in understanding the underlying principles and strategies.

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In this article, we’ll cover the basics of using a debugger and provide tips to make the most of it during coding Olympiads.

1. Understand the Role of a Debugger

A debugger is a tool that lets you run your code step-by-step, enabling you to monitor how it executes and how variables change throughout the process. Unlike print statements, which only provide specific information, a debugger offers a comprehensive view of program behavior, helping you quickly identify and correct errors.

With a debugger, you can:

• Pause Execution (Breakpoints): Pause code at specific lines to examine variable states.
• Step Through Code: Run code line-by-line to understand its behavior at each step.
• Inspect Variables: View the values of variables at any point in the execution.
• Evaluate Expressions: Test how expressions behave without rerunning the whole code.

2. Set Up Debugging for Your Programming Environment

Most popular programming languages and IDEs used in competitive programming come with built-in or easy-to-set-up debugging tools. Here’s how to start with the most common languages used in Olympiads:

C++: Visual Studio Code or CLion

• Visual Studio Code: Use the C++ extension along with GDB (GNU Debugger) for debugging. Set breakpoints by clicking on the left of the line numbers, and run the debugger to start stepping through code.
• CLion: A powerful IDE that integrates debugging with ease. You can use F9 to set breakpoints and F8 to step through code.

Python: PyCharm or Visual Studio Code

• PyCharm: PyCharm provides a straightforward interface for debugging Python code, with options for breakpoints, step functions, and inspecting variable states.
• Visual Studio Code: The Python extension includes debugging capabilities. Simply click beside the line number to set breakpoints, then run the debugger.

Java: IntelliJ IDEA or Eclipse

• IntelliJ IDEA: Offers a robust debugger for Java. Set breakpoints, then use the debugging toolbar to control the execution flow.
• Eclipse: Another popular IDE for Java that provides debugging features, including breakpoints, stepping, and variable inspection.

Quick Tip:

Before an Olympiad, practice setting up and using the debugger in your chosen environment so you can activate it quickly when needed.

3. Using Breakpoints to Pause Execution

Breakpoints are one of the most powerful features of a debugger, allowing you to pause execution at any line to inspect the program state.

How to Use Breakpoints Effectively:

• Start with Key Points: Begin by setting breakpoints at major sections, such as the start of loops, conditionals, or functions where you suspect issues.
• Isolate Suspicious Code: If you notice incorrect output, set breakpoints around that section to see how variables change.
• Use Conditional Breakpoints: Many debuggers allow conditional breakpoints, which only pause execution when a specific condition is met (e.g., i == 5). This is especially useful in loops with many iterations.

Example:

In C++, if a loop is not working as expected, place a breakpoint at the beginning of the loop. Then, check each iteration’s variable states and identify where values deviate from what you expected.

4. Step Through Code Line by Line

The “Step Over” and “Step Into” features let you control the flow of execution in a detailed manner.

Step Over

• Step Over skips over function calls without going inside them, executing the function as a single unit.
• When to Use: Use Step Over if you believe a function is working correctly and you don’t need to check its internal workings.

Step Into

• Step Into allows you to dive into a function and see each line’s execution.
• When to Use: Use Step Into when you suspect there may be issues within a specific function, such as incorrect logic or variable changes.

Step Out

• Step Out exits the current function and returns to the calling function.
• When to Use: This is helpful if you’ve stepped into a function and verified its correctness but want to return to the higher-level code quickly.

Example:

In a Python function that returns incorrect results, Step Into to see exactly how it calculates values. Watch each line, especially if it’s performing mathematical operations or iterating over data.

5. Inspect Variables and Expressions

The ability to check variables in real-time is crucial. You can see how variable values change with each line, helping you spot unintended changes and logic errors.

Watch Window

Many debuggers offer a Watch window where you can add specific variables or expressions to monitor as the program runs. For example, you can add count or array[i] to see how they update each time the code loops.

Local and Global Variables

Debuggers typically list local and global variables separately, so you can see which variables are in scope at each breakpoint. This is particularly helpful in recursive functions or when working with multiple functions, as it helps you avoid confusion between variables with similar names.

Evaluate Expressions

Some debuggers let you evaluate expressions on the fly. You can test expressions without adding code directly to your program, which is useful if you want to check how x + y or array[i] * 2 behaves at a certain point.

6. Analyze the Call Stack

The call stack shows the hierarchy of function calls leading to the current point in the execution. Each time a function is called, it is added to the stack, and when it completes, it is removed. This helps you trace the flow of execution, especially in recursive or complex programs.

Using the Call Stack

• Identify Infinite Recursion: If you have a recursive function that isn’t terminating, the call stack will fill up with repeated calls, helping you spot the issue.
• Trace Function Calls: If your code has multiple functions calling each other, use the call stack to see the sequence and flow of calls.
• Debugging Errors: When an error occurs, check the call stack to find the exact function and line where the error originated.

7. Quick Tips for Debugging in a Competitive Setting

Debugging in a timed environment, such as an Olympiad, requires a strategic approach. Here are some tips to debug efficiently:

• Limit Debugging Scope: Start by isolating the part of the code that is likely causing the issue. Avoid stepping through the entire code if only a small section is problematic.
• Focus on Logical Errors: Logical errors are harder to spot with print statements. Use the debugger to check values and program flow step-by-step to catch these errors.
• Test with Edge Cases: Debugging edge cases, like empty inputs, maximum or minimum values, and boundary cases, ensures your solution covers all possibilities.
• Use Console Logs Sparingly: If you don’t have access to a debugger, rely on strategic console logs (like print() or cout <<) to track variable values. However, too many logs can clutter output, so use them selectively.

8. Practice Debugging Techniques Before the Competition

Debugging is a skill that improves with practice. Familiarize yourself with your debugger and develop a sense of when to step through code versus using conditional breakpoints or other tools. Many online judges and practice platforms allow you to test code with custom inputs, providing a great opportunity to debug and refine your approach before the competition.

Set Up and Test Common Patterns

In Olympiads, you’ll encounter common programming patterns and algorithms. Set breakpoints within standard algorithms (like binary search or dynamic programming templates) to understand their inner workings. This practice will prepare you to debug similar patterns quickly in a live competition setting.

Using a debugger in programming Olympiads can significantly enhance your problem-solving speed and accuracy. By mastering features like breakpoints, step-through options, variable inspection, and the call stack, you can streamline your troubleshooting and focus on crafting a correct solution. Debuggers offer an in-depth look into your code’s execution, making them indispensable tools for competitive programming. With practice, you’ll develop a debugging workflow that helps you navigate even the toughest problems under pressure.

The post How to Use Debuggers for Code Troubleshooting in Olympiads appeared first on Ioi2012.

• Codeforces : offers a wide range of challenges, from simple to complex, with a large global community;
• LeetCode : perfect for interview preparation with easy and difficult challenges and a rich tutorial section;
• HackerRank: contains many tutorials for beginners, supports many languages, and connects programmers with companies;
• CodeChef: has a zone for beginners and provides everything for free;
• AtCoder: known for competitions for all levels and a friendly global community.

The essence of competitive programming

Competitive programming is about using your brain to solve complex puzzles under time pressure. It’s a way to practice and get really good at problem solving, just like a really intense brain workout. When you dive into competitive programming as a beginner, here’s what you get out of it:

• Develops your thinking and problem-solving skills: you will learn how to look at a problem, analyze it, and find a step-by-step solution. This skill is extremely important for any programming job;
• Strengthens your coding fundamentals: You’ll work on assignments that cover basic but important topics like lists, trees, sorting, and more. Learning these basics is essential;
• Make you a faster and smarter programmer: As you fight against time, you will learn to write code that is not only correct, but also fast and efficient. It’s about finding the best way to solve a problem quickly;
• Helps you learn how to improve your code: you don’t just aim to get the right answer; you also try to do it in a way that doesn’t waste computer memory or take too long. This teaches you to always look for the best solution;
• Gives you confidence in solving complex problems: the more you practice, the better you will be at handling new and complex challenges. It’s a great way to boost your confidence and prepare for real-world coding tasks;
• Competitive coding may seem a bit intimidating at first, but it’s a fantastic way to learn and improve. The key is to start with the right websites that offer challenges that are suitable for beginners. This will help you develop your skills step by step.

Codeforces

Codeforces is a website where people who love competitive coding can participate in contests and solve problems. It was created by a group of programmers from Russia. The site is free and contains many different challenges for people all over the world. Codeforces allows you to try a number of tasks that vary in difficulty. It also has a place where you can talk to others, share solutions, and read about how to overcome different challenges. Most of what you can do on Codeforces costs nothing.

You can use many programming languages on Codeforces, including popular ones like C++, Java, Python, and JavaScript. This means you can solve problems in a language you’re comfortable with or a language you’re trying to learn.
Problems on Codeforces are rated according to their difficulty: from 800 (easy) to 3500+ (very difficult). There are many easier problems that are ideal for beginners.

Codeforces has a section with articles and tutorials to help you understand important coding concepts. If you have questions, you can also ask them in the community forums.
The Codeforces community is large and includes programmers from all over the world. You can join discussions, read blogs, and see how others approach problems.

LeetCode

LeetCode is a site where you can practice coding problems, especially if you are preparing for a job interview. It contains more than 1900 different coding questions to try, ranging from super easy to very difficult. It is also a place where you can see how others solve problems and learn from them.

On LeetCode, you can code in many languages, including C++, Java, Python, and JavaScript. This means you can stick to what you know or try something new.

LeetCode categorizes its problems into three levels: easy, medium, and hard. This customization helps you start with the basics and gradually tackle more difficult issues. Each problem is also labeled with a theme, such as arrays or linked lists, making it easier to focus on what you want to learn.

The LeetCode Explore section is full of videos and articles that explain coding concepts, interview questions, and more. There is also a Discuss section where you can talk about how to solve problems.
LeetCode has a huge community of over 12 million users. Here you can find people to practice coding with and get advice.

HackerRank

HackerRank gives programmers a place to practice and improve. It contains a lot of tasks in different programming languages for all skill levels. You can solve problems, participate in contests, work together on projects, and even get noticed by companies looking to hire.

HackerRank allows you to use more than 50 programming languages, including such favorites as C++, Java, Python, and JavaScript. This means that you can choose the language that is more convenient for you to solve tasks.
HackerRank challenges are for everyone, from beginners to professionals. They label their challenges as easy, medium, and hard, so you can start with easy ones and move on as you get better.
HackerRank has a variety of help, such as tutorials, videos, coding tips, and forums where you can connect with others. If you’re just starting out, they have the basics to help you develop your skills for more complex things.
The HackerRank community is huge, with over 8 million users. You can talk about how to solve problems, work on code together, and even look for jobs on the site.

CodeChef

CodeChef is a place where coders can become better by solving various programming problems. It was created in 2009 and is now used by more than 1.5 million people from all over the world.

In CodeChef, you can use a number of programming languages, such as C, C++, Java, Python, and even some less common ones like Haskell and Kotlin. This means you can work in the language you know best.

The tasks on CodeChef are labeled from easy to hard. This allows beginners to start with easier things and move up as they get more comfortable. They also have tutorials on basic topics like lists and sorting.

CodeChef has a special section for beginners, which describes all the basics necessary for competitive programming. It contains easy-to-follow tutorials.

There’s a place called CodeChef Discuss where you can chat with other programmers, ask questions, and learn new ways to solve problems. The community is really friendly.

AtCoder

AtCoder is a Japanese platform for competitive coding. It’s a place where you can join online competitions or just practice coding on your own. More than half a million people use AtCoder, making it a popular choice around the world.

You can use more than 40 programming languages on AtCoder, including common ones like C++, Java, Python, and others like C#, Ruby, and Rust. This means you can solve problems in the language you’re most comfortable with.

AtCoder has challenges for everyone from beginners to experts. They have beginner competitions for newbies and big competitions for really challenging problems. So, no matter what your level, you can find problems that suit you.

AtCoder allows you to check your answers with an online judge and contains articles that explain how to solve problems. There is also a forum where you can talk about coding with others and learn from them.

The AtCoder community is active and friendly. During competitions, you can see how others solve problems, and there is always someone to discuss coding techniques with. Users also create study groups and events to learn together.

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WebStorm

Developed by JetBrains, this is a closed-source environment. Ranked first among other integrated development environments due to its brilliant code editor. Some of its important features include intelligent code completion, on-the-fly error detection, and robust navigation.

It has a minimal and user-friendly user interface filled with unique features. Easy to use and very lightweight, this development environment is designed to help you develop cutting-edge web applications that stand out from the crowd.

Visual Studio Code

One of the most popular and free IDEs with a wide range of features. VS Code supports a large number of programming languages, has great tools for editing, debugging code. Thanks to its flexible settings and a large number of plugins, you can always customize this environment to suit your needs.

UltraEdit

This is a versatile text editor. It is available for cross-platform editing under a single license and integrates with other applications thanks to its robust command line support.

In addition, this text editor is lightweight but powerful. It uses disk-based text editing to consume minimal RAM, but still supports editing large files.

The editor’s interface gives users full control over its appearance. You can style almost every aspect of the editor, from the menus and toolbar to the status bar and clipboards.

Notepad++

A free, multi-language code editor for Windows. Some of its powerful features include auto-completion, custom syntax highlighting, dynamic view layout, multi-document support, and others.

HTML Kit

A full-featured HTML editor. Although free, it has some paid features. It can be used to edit, format, validate and publish web pages. The functionality of the editor can be extended by additional installation of a large number of plugins, although some of them are installed “out of the box”.

SlickEdit

Free, multilingual, cross-platform editor. It has built-in code improvement tools, code navigation, context tags, can integrate with third-party tools, and allows quick and easy code debugging.

BBEdit

Text editor for macOS. Allows users to create, edit and format any type of text, giving them full control over their texts.

BBEdit is equipped with many built-in functions for sorting, text conversion. In addition, users can quickly find and process large amounts of text with powerful search and replace functionality, including expression matching and multi-file filtering.

BBEdit also has an auto-complete feature to ensure that text is written correctly and quickly. It allows you to create clippings for frequently used items and custom tags.

RubyMine

This is an integrated development environment for Ruby on Rails. The editor helps you avoid unnecessary input and navigate through your code faster.
For example, think back to those instances when you forgot to close parentheses or quotes. It deserves attention for its logical workflow, intuitive navigation, and excellent compatibility.

Atom

This open source text editor was developed by GitHub. One of its key advantages is its flexibility and readiness for customization, a huge library of customizations and wholesale redesigns. Atom calls itself “the hacked text editor of the 21st century” and it lives up to that moniker. Atom is feature-rich and ready for anything you want to write.

Nova

A feature-rich code editor for macOS. It comes with features like autocomplete, multiple cursors and a mini-map for an efficient workflow.

Nova has built-in support for a variety of languages ranging from HTML, CSS and JavaScript to XML, YAML and SCSS.
In addition, Nova has an extension library that offers more languages, commands, and add-ons. The code editor also allows you to customize your documents in any way you like by dragging and dropping them into new split views and tabs.

You can also reorganize the UI layout – for example, sidebar placement and theme selection for each project.

CSS Editor

A code editor that helps you create beautiful websites that can load quickly. Because of its simplicity, it gives an intuitive approach to working with stylesheets. Has built-in preview features that will help you create stunning websites in no time.

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