If you've just begun learning about Github, here's an introduction to some basic commands every coder should know.

A repository is where all of your code is stored. If you haven't created a repository yet, it's important that you do so first before uploading any code. You can visit the site and click on the "New Repository" button.

If you created the repository on GitHub or if you want to work on an old repository, then you will need to clone the repo onto your computer. This can be done by copying the repo URL from GitHub and using the git clone command.

You can also use the command line to create your repository. You will need to use the git init command inside the project folder.

You will then need to type in the command below so that you can have access to the repo you created on GitHub. To do this you will need your repo URL.

The primary function of Git is to preserve the repository's changes. We'll delve into adding saved modifications first. Afterward, we'll talk about committing them. Finally, we'll discuss using the push command to transmit them to GitHub.

To make changes and then commit them, we simply issue the add command in the terminal. The command always begins with "add". The second part may be a directory, a file name, or a period to include all changes.

A commit is basically a snapshot of your code at a given moment in time. This will allow you to look back and see the exact code that you had in your code base at that particular moment. This can be really helpful if you want to revert back to an older version of your code.

To commit your changes, type the below command. You may include a description of the changes in this commit.

Now that all of the files have been added and committed, you may push the changes to the repo. You may do this with the git push command.

Working on a team can be enhanced by using branches. Because different members of the team can work on different sections of the project at the same time, using branches is important. Branches can be used to create a new version of the project and then, once finished, be merged back into the main branch.

To see what branch you're on and what options are available type git branch. To create a new branch, use the command below.

You can also enter a branch using the following command.

In order to apply all of the team's changes to our local repo, we must use the pull command. By executing this command, we will fetch the latest changes that were pushed to GitHub.

We can perform a merge operation to incorporate changes from a branch into the main repository. You may also accomplish this on the GitHub website. To merge a branch into the main branch, you must first be on the main branch. The following command may be used for this purpose.

GitHub is an excellent resource for coders. It can help you collaborate with other developers, track your progress, and it's also a great way to showcase your coding skills. It can be a little bit intimidating when you first start learning how to code. However, once you get the basics down, it can actually be a lot of fun. One of the best ways to learn quickly is by using examples and tutorials that are available on sites like GitHub.

A Comprehensive Guide to GitHub Commands

As an aspiring software developer, one of the first things you’ll need to do is develop a presence on the internet. Building a professional online profile, particularly on a site like Github, can help you find opportunities, connect with other developers, and even land your first job. 

It might seem intimidating at first — after all, GitHub is mainly used by programmers who are working on code together. But don’t let that scare you off; if you have any interest in becoming a software developer but aren’t sure where to start, learning how to use Github could be the perfect place for you to begin.

Github is a platform used by software developers to collaborate on projects together. In simple terms, it is a social network for developers. If you’re interested in becoming a software developer, Github will likely become one of your go-to sites. That’s because most tech companies use it as a way to store code, as do many freelancers.

Everyone uses Github, which means that if you’re looking to connect with other developers, it’s a great place to start. You’ll be able to see what types of projects other developers are working on, and even find new team members for your projects.

There are a few ways to use Github — whether you’re a beginner or more experienced. If you’re just starting out, the best way to understand how to use Github is to start with the basics. If you’re a seasoned developer, you might want to check out some of the advanced features. Github's main feature for beginners is the ability to view and manage code. You can create or join a team, create a new project, or find an existing project to contribute to.

Once you’ve found a project to contribute to, you can fork the repository, which means you’ve created a copy of it to work on. As you make changes, you’ll be able to track the progress of the project in your own private sandbox. Once your code is ready, you can submit a pull request back to the original repository.

Why is Having a Professional Github Profile Important?

There are many tools that developers use to find work opportunities and collaborate with other developers, but nothing is more prominent than Github. Having a professional profile on this site can help you make connections and find work — even if you haven’t technically started a career yet.

A Github profile is similar to a resume, but it’s also much more than that. You can use it to show off what you’ve worked on, as well as outline your skills. When potential employers or clients look at your profile, they’ll be able to see what you’re capable of.

Your Github profile can also help you get your foot in the door with open-source projects. While all of this information is helpful to have if you’re already employed, it’s especially valuable if you’re just getting started.

Creating a profile on Github can help you connect with other developers, which can lead to opportunities that might not be available to you otherwise.

As you’re building your profile on Github, there are a few things you should keep in mind. The first is the name of your profile — it should be clear and descriptive, without being too long. In fact, it’s recommended that you keep the name under 16 characters.

The next thing you’ll want to do is create a short, but thorough description of your skills and experience. This can help potential employers and clients get a sense of what you’ve worked on and where your interests lie.

Finally, you’ll want to fill out your profile picture and website. While these aren’t crucial to your profile, they can help you stand out. Plus, you don’t need to spend a lot of time or money on them — a simple LinkedIn picture will do just fine.

Learning how to use Github can be a great way to start a career in software development, but it can also prove helpful to anyone who needs to collaborate with other developers online. Creating a professional profile is important, whether you’re just starting out or you’ve been in the industry for years.

Even though Github is a social network, it’s important to be professional. People are much more likely to click on your profile and consider working with you if it’s well put together.

Now that you know a little more about Github, why it’s important, and how to use it, it’s time to get started. Building a professional profile on Github will take time, but it’s an investment that will pay off in the long run.

A Beginner's Guide to Using Github

SASS is a powerful CSS pre-processor that helps make writing CSS easier and more efficient. It offers features such as variables, nesting, mixins, placeholders, and functions that allow you to create DRY, concise, and well-organized code. In this tutorial, we will cover the basics of SASS syntax so you can get started using it today.

Some of the benefits of using SASS include:

1. Increased flexibility: With SASS, you can easily change the colors, fonts, and other styling properties of your website without having to go through each individual CSS file.

2. Improved organization: By using SASS's nesting feature, you can group related CSS properties together and thereby keep your code more organized and easy to read.

3. Reduced file size: Since SASS generates clean and optimized CSS code, your website's file size will be smaller in comparison to if you had used regular CSS.

To install SASS with Node, you first need to make sure that you have Node.js installed on your computer. You can download Node.js from the official website:

Once you have Node.js installed, you can install the SASS compiler by running the following command in the terminal:

After the installation is complete, you can verify that SASS has been successfully installed by running the following command:

This should output the current version of SASS that is installed on your system.

If you don't want to install with Node, then SASS can be installed with some other options that can be found at 

Using variables, nesting, mixins, placeholders, and functions in SASS

The first thing you need to know about SASS variables is that they are a name written after a dollar sign ($). A SASS variable can be any word, but it's best to use short, descriptive variable names.

To create a variable in SASS, you simply write a dollar sign ($) and the variable name followed by the equals sign (=) and then the value of the variable. For example, the following code sets the variable "bg-color" to be "white":

Nesting is one of the features that makes SASS so powerful and efficient. Nesting allows you to group related CSS properties together so that they can be easily accessed and edited. The following code shows an example of nesting:

In this code, the ".main" class has two properties: "color" and "background-color". Within the ".main" class, there are two elements that we will be adding style to.

All headings (h1) and paragraphs (p) within the main class will now have these styles applied, whereas those outside of the main class will not.

So, as you can see, nesting allows you to easily keep your CSS code tidy and well-organized.

Mixins allow you to create reusable pieces of CSS code that can be called from other classes or selectors. This is helpful when you want to use the same style multiple times on your website, but don't want to copy and paste the same style over and over again.

Mixins can be seen as functions that don't have a return value. We generally pass in an argument when we use a mixin.

To create a mixin in SASS, you simply write the mixin name after the @mixin keyword and then the list of properties that you want to include in the mixin.

For example, the following code creates a mixin called "border-radius":

The "border-radius" mixin takes one parameter: $radius. This parameter represents the radius of the border that you want to create. 

So, if you wanted to create a border with a radius of 5px, you would write the following code:

A placeholder is a type of mixin that is used when you want to create a class or selector that will not generate any CSS code on its own. Placeholders are helpful when you want to create a style that will be used multiple times, but don't want to add any extra CSS code to your website.

To create a placeholder in SASS, you write the placeholder name after the % symbol. For example, the following code creates a placeholder called "border":

The "%border" placeholder contains one CSS property: "border". This property will be used whenever the "%border" placeholder is called.

To use a placeholder, you write the @extend keyword followed by the placeholder name. 

For example, the following code extends the "%border" placeholder:

Functions are a way to perform operations on SASS variables. They are helpful when you want to manipulate a variable in some way. For example, you may want to take a color and make it lighter or darker.

To create a function in SASS, you write the function name after the keyword "function". The following code creates a function called "lighten":

The "lighten" function takes two parameters: $color and $amount. The $color parameter represents the color that you want to manipulate. The $amount parameter represents how much you want to lighten the color. So, if you wanted to lighten a color by 10%, you would write the following code:

This code would return a color that is 10% lighter than the "blue" color.

As you can see, SASS offers a lot of powerful features that can help make your CSS code more efficient and easier to write. Now that you know the basics of how to get started with SASS, try using it on your next project!

How to get started with SASS

When used correctly, the position property can be extremely helpful in creating sophisticated and stylish web designs. In this article, we'll take a look at how to use the position property to its fullest potential. We'll also discuss some of the common pitfalls associated with using this property, and how to avoid them.

What is the CSS position property and what can it do for web design?

One of the most important aspects of effective web design is using the CSS position property to control the positioning of elements on a page. With this property, you can set an element's position relative to its containing element or specify a fixed position for the element. The position property is one of the most versatile and powerful CSS properties, so it's worth taking the time to learn how to use it effectively!

The different values that CSS position can take

There are five different values that the CSS position property can take: static, relative, absolute, fixed, and sticky. Each one has its own unique uses and benefits.

1) The static value is the default setting for the position property. With this value, an element will be positioned according to the normal flow of the document.

2) The relative value lets you position an element relative to its current location.

3) The absolute value lets you position an element in a specific location on the page, regardless of its normal flow.

4) The fixed value keeps an element in a fixed location on the page, even when the user scrolls down.

5) The Sticky value sticks in place based on the user's scroll position.

Each of these values has its own advantages and disadvantages, so it's important to understand how to use them correctly for your specific design needs. For example, the static value is good for general layout purposes, while the absolute value can be useful for creating more complex designs.

Examples of how to use the position property effectively in web design

There are many different ways to use the position property effectively in web design. Here are a some examples:

1) Use the relative value to create nested elements. This will let you control the positioning of each element relative to its surrounding elements.

2) Use the absolute value to create overlapping elements.

3) Use the sticky value to create fixed headers and footers that stay in place while the user scrolls.

4) Use the fixed value to create pages that scroll independently of the rest of the document.

Common pitfalls associated with using the position property

Common problems with the position property

There are a few common pitfalls associated with using the position property.

First, it's important to understand that the position property only affects elements that have a specific value set for their position. This means that if you forget to set a value for the position property, your elements will not be affected by it.

Second, the position property can interact with other CSS properties in unexpected ways. For example, setting the position of an element to fixed can cause its margins to collapse.

Finally, the position property can be tricky to understand and use correctly. If you're not careful, you may end up with elements that are positioned in unexpected ways.

When used correctly, the CSS position property can be an extremely powerful tool for web design. However, it's important to understand the different values that it can take, and how to use them correctly. With a little practice, you'll be able to use the position property to create sophisticated and stylish

How to use the position property for effective web design

Next.js is a framework for building server-rendered JavaScript applications with React. It is simple, efficient, and easy to use, making it perfect for creating fast reusable components.

Next.js also offers an automatic code-splitting feature, which allows you to split your app into smaller chunks that can be loaded on demand. This makes for a faster, more user-friendly experience for your visitors.

React.js is a library for building user interfaces, while Next.js is a framework that helps you create server-rendered applications with React. 

React.js is a library for building user interfaces, while Next.js is a framework that uses React to build server-rendered applications. One major advantage of using Next.js is that it offers built-in support for server-side rendering. This means that your pages will be rendered on the server before they are sent to the user's browser, which can improve performance and make your app more search engine friendly.

Next.js offers a built-in routing system that makes it easy to create and manage your app's pages. With Next.js, each page is represented by a React component. You can specify the route for a page by adding a special prop called path. This will tell Next.js which component to use to render the page.

You can also use the router to create conditional routes. For example, you might want to show a different component depending on the user's location. You can do this by using the special prop isLocation. This will test whether the user is currently located in a certain area and if so, it will route them to the corresponding page.

Next.js also offers a built-in image component that makes it easy to optimize your images for faster loading times. The image component will automatically resize and crop your images to the correct dimensions, and it will also compress them to reduce file size. This can help improve the overall performance of your app.

Next.js offers a built-in code-splitting feature that allows you to split your app into smaller chunks that can be loaded on demand. This makes for a faster, more user-friendly experience for your visitors.

The code-splitting feature works by splitting your app into two parts: the client side and the server side. The client side is the part of your app that is loaded in the user's browser, while the server side is the part of your app that is rendered on the server.

The advantage of using code-splitting is that it allows you to load only the parts of your app that are needed at a given time. This can improve performance and help reduce bandwidth usage. It can also make your app more responsive since it won't have to wait for all of the code to load before it can start displaying content.

Resources for learning more about Next.js

If you're interested in learning more about Next.js, here are some resources that you can check out:

1. The Next.js website offers a variety of tutorials and examples that can help you get started with the framework.

2. The Next.js repo on GitHub also includes a number of helpful examples and documentation.

3. Dan Abramov, the creator of Next.js, has also published a book called "Next.js in Action" which covers everything from setting up your project to using advanced features like code splitting and routing.

Next.js is a great choice for projects that require server-side rendering, as it offers built-in features for this type of application. Additionally, its automatic code-splitting feature makes for a faster, more user-friendly experience for your visitors. If you're looking for a simple, efficient framework for building reusable components, Next.js is a good option to consider.

Next.js: The perfect framework for building fast, reusable components

Python is a high-level, interpreted, general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, "There's only one way to do it, and that's why it works."

Python is one of the most popular programming languages in use today. It has a wide range of applications and is used in many different industries. Python developers are in high demand due to the versatility and flexibility of the Python language. If you are interested in becoming a Python developer, here is some important information you need to know!

Python is a high-level, interpreted, general-purpose programming language which means it is an easy to learn, user-friendly language that can be used for a variety of purposes. Python is often used for web development, software development, data analysis, and scientific computing.

Some popular Python applications include:

Web Development: Python is often used for web development due to its flexibility and ease of use. There are many different Python web frameworks available, such as Django and Flask.

Software Development: Python is a popular choice for software development due to its readability and comprehensibility. There are many libraries and modules available which make software development with Python easy.

Data Analysis: Python is often used for data analysis due to its powerful data processing capabilities. There are many libraries available for data analysis, such as pandas and NumPy.

Scientific Computing: Python is also popular in the scientific community due to its ability to handle complex mathematical operations easily. There are many libraries available for scientific computing, such as SciPy and matplotlib.

Python was created on December 3, 1989, by Guido van Rossum. Van Rossum designed Python with the philosophy that there is only one way to do things, and that's why it works.

The first version of Python was released in 1991. It was called Python 0.9.0 and only had a few features. However, Python quickly grew in popularity due to its simplicity and versatility.

In 1995, Python 1.5 was released with major improvements, including support for object-oriented programming.

In 2000, Python 2.0 was released with more features, including a new garbage collector and support for Unicode strings.

In 2008, Python 3.0 was released with several major changes, including the removal of some old modules and the addition of new modules. However, Python 3 is not backwards compatible with Python 2, so many older Python applications still use Python 2.

Currently, the latest version of Python is 4.0 which was released in December 2019. It includes many new features and enhancements, such as support for type hinting and variable annotations.

Python is a versatile programming language that can be used for a variety of purposes. It is easy to learn and provides many benefits for both beginners and experienced developers. 

Some of the benefits of learning Python include:

Ease of Use: Python is an easy to learn language that is user-friendly and flexible. This makes it a popular choice for beginners and experienced developers alike.

Wide Range of Applications: Python has a wide range of applications and can be used for web development, software development, data analysis, and scientific computing.

Robust Library Support: Python has a large library support which makes it easy to find modules and libraries for specific tasks. This makes Python an ideal choice for complex tasks.

Growing Community: The Python community is growing rapidly and there are many resources available online for learning Python. This makes it easy to find help and support when you need it.

Overall, the benefits of learning Python are vast and make it an ideal choice for a variety of purposes. If you are interested in learning this powerful programming language, there are many resources available to get you started!

Python is an easy to learn language and there are many different ways to learn it. If you want to learn Python on your own, there are many free resources available online. Alternatively, you can attend a Python course or bootcamp to get started quickly.

When learning Python, it is important to understand the basics of the language first. This includes understanding data types, variables, and expressions. Once you have a basic understanding of the language, you can move on to more complex topics such as object-oriented programming and data analysis.

The best way to learn Python is by practicing coding exercises and solving problems. There are many online resources available for this, such as Codecademy and Code School. These resources provide step-by-step tutorials and interactive exercises to help you learn Python quickly and easily.

What a career as a Python developer looks like

Python is a versatile language that can be used for a variety of purposes. It is easy to learn and provides many benefits for both beginners and experienced developers. If you want to learn Python, there are many resources available to get you started!

A career as a Python developer is one that is in high demand. Python developers are needed for many different types of businesses, from small startups to large corporations. They are responsible for developing and maintaining software applications using the Python programming language.

The job of a Python developer is challenging but also rewarding. They must have a strong understanding of the Python language and be able to solve complex problems. Python developers are in high demand, so they can command a high salary in the job market.

Overall, a career as a Python developer is an exciting and rewarding experience. If you are interested in this field, there are many resources available to help you get started!

Final thoughts on learning and using Python

The job of a Python developer is challenging but also rewarding. They must have a strong understanding of the Python language and be able to solve complex problems. In addition, Python developers are in high demand, so they can command a high salary in the job market.

The future of Python development: what you need to know

Errors are mistakes that occur in your code. They can cause unexpected problems further down the line, so it's important to handle them properly. 

By using try/except blocks, raise exceptions, or the assert statement, you can ensure that your code behaves as expected, even when errors occur.

Why should you handle errors in your code?

There are a few reasons why you should handle errors in your code:

1. It makes your code more reliable. By handling errors properly, you can ensure that your code behaves as expected, even when things go wrong. This makes your code more reliable and less likely to crash or produce unexpected results.

2. It helps you debug your code. If you're trying to debug your code and you don't handle errors properly, it can be difficult to figure out what's going wrong. By using try/except blocks or the assert statement, you can make it easier to debug your code by adding extra information about what went wrong.

3. It makes your code more user-friendly. If your code doesn't handle errors properly, it can be confusing or frustrating for users. By using try/except blocks or raising exceptions, you can make your code more user-friendly by providing informative error messages.

Python has a few different ways to handle errors, and one of the most common ways is through try/except blocks. A try/except block allows you to catch errors and take action accordingly. For example, you can use it to:

Check for errors and abort the program if one occurs

Here's an example of a try/except block in Python:

The first line in a try/except block is the try statement. This is where you put your code that might produce an error. If an error does occur, Python will jump down to the except statement and execute the code inside it. You can have more than one statement, and each one can handle a different type of error.

You can also use a finally statement at the bottom of the try/except block. This will always execute. In the code above, it will always print 'Good work'.

If you don't want to handle a particular type of error, you can use the raise statement to raise an exception. This will cause Python to stop execution and print the exception message. Here's an example:

The assert statement is another way to handle errors in Python. It allows you to check for conditions that must be true in order for your code to run correctly. If the condition isn't met, Python will print the assertion failed message and stop execution. Here's an example:

If x is not greater than 0, Python will print the assertion failed message and stop execution.

Handling errors in your code is important, as they can cause unexpected problems further down the line. In Python, there are a few different ways to handle errors, depending on what type of error it is. You can use try/except blocks, raise exceptions, or use the assert statement. By using these methods, you can ensure that your code behaves as expected, even when errors occur.

How to handle errors in Python

Python allows you to use decorators to add functionality to functions without cluttering up the code with a lot of extra nested functions. 

A decorator is a function that takes one or more functions as arguments and returns another function. The returned function is then applied to one or more objects. Decorators are a great way to keep your code clean and organized.

To create a decorator, you need to import the decorator module. Then, you need to create a function that takes one or more functions as arguments and returns another function. The returned function is then applied to one or more objects.

For example, let's say you want to create a decorator that logs the time a function takes to run. 

First, you would create a function that takes one or more functions as arguments and returns another function. The returned function is then applied to one or more objects. 

In this case, the logging decorator would take a function as an argument and return a function that prints the time it took to run the original function:

To use a decorator in Python, you first need to import the decorator module. Then, you can use the @ symbol to indicate that a function is being decorated. The function that is being decorated will then be passed as an argument to the decorator function.

In this example, the some_function is decorated with the logging decorator. This means that any time the some_function is called, it will tell how many seconds it took for the function to finish.

One of the main advantages of using decorators in Python is that they make your code cleaner and more organized. With decorators, you can add functionality to functions without having to nest a lot of extra functions. This makes your code easier to read and understand.

Decorators also make it easy to test your code. You can easily mock out the functions that are being decorated, which allows you to quickly test different scenarios.

Lastly, decorators can be used to enforce security restrictions or cache values. This can help to improve the performance of your code.

Disadvantages of using decorators in Python

There are a few disadvantages to using decorators in Python. One is that they can be confusing for beginners. It can be tricky to understand how to use them and what they do.

Another disadvantage is that decorators can slow down your code. This is because the functions that are being decorated need to be called twice: once by the decorator and once by the function that is being decorated. This can cause a performance hit, especially if the function is being called frequently.

Lastly, decorators can be difficult to debug. If there is a problem with your code, it can be hard to track down the source of the issue.

Python decorators are a great way to add functionality to functions without cluttering up the code. They make your code cleaner and more organized, and they also make it easy to test different scenarios. Additionally, decorators can be used to enforce security restrictions or cache values. While there are some disadvantages to using decorators in Python, such as their potential impact on performance, the benefits outweigh them by far.

Using decorators in Python to simplify your code

In order to be a competent programmer, you must understand data types and how to use them. In this article, you will find the basics of data types as well as enough information to get started using them.

An integer it basically a whole number with no decimal places. This quantity can be either positive or negative, and it can be as long as you want. 

The figure above depicts an instance of how to how to utilize the int() method to convert a number into an int.

A float is a number with decimal points. The code snippet above demonstrates an example as well as how to use the float() function to convert a number into a float.

A boolean is a type of data that either has a true or false value. A boolean can only have the values true or false. An example and how to use the bool() method are shown in the figure above.

A string is a sequence of characters. You can create a string by surrounding it with single or double quotes. In the picture above, you can see an example as well as how to use the str() method to turn something into a string.

A list is a way to bundle many things in one variable. The items may be enclosed in square brackets [ ], with commas between them, to construct a list.

Tuples and lists are both data structures that can be used to store multiple items. The main difference between tuples and lists is that tuples are immutable, while lists are mutable. This means that once a tuple is created, it cannot be changed. Tuples are wrapped in parentheses ().

A set is similar to a list, but it differs in several ways. It's not ordered like a list, and there are no duplicates. The set is represented by curly brackets { }.

Python has a specific way to handle ordered collections of data known as a dictionary. A collection of data is divided into key:value pair, and it's called a dictionary. Dictionaries are enclosed in curly brackets { }.

Data Types in Python

There are three types of loops in Python- for loops, while loops, and nested loops. In this article, we'll explore the basics of each type of loop and show some examples of how they can be used.

For loops are the most commonly used type of loop in Python. They allow you to iterate through a sequence of items, such as a list or a string. For example, if you wanted to print out the numbers from 1 to 10, you could use a for loop like this:

This code will print out the numbers 1 through 10. The "range()" function takes two arguments- the starting number and the ending number. It will automatically increment the starting number by 1 each time it goes through the loop.

You can also use for loops to iterate through dictionaries and tuples. For example, this code will print out all of the keys and values in a dictionary:

Similarly, this code will print out all of the elements in a tuple:

While loops are useful for repeating a certain set of code while a certain condition is met. For example, this code will keep printing the numbers from 1 to 10 until it reaches 11:

If you wanted to stop printing the numbers at some point, you could add an "exit" statement like this:

Nested loops are loops that are contained within other loops. They allow you to iterate through multiple sequences of items at the same time. For example, this code will print out the numbers 1 through 3, as well as the numbers 2 through 4:

Loops are an important part of any programming language and Python is no exception. In this article, we've explored the basics of for loops, while loops and nested loops in Python. We've also shown some examples of how these loops can be used to solve common programming problems. If you're new to Python or programming in general, it's a good idea to spend some time practicing with different types of loops. The more you use them, the easier they'll become!

The basics of Python loops

Functions are a useful part of programming in any language and the same goes for Python. Functions are a way of grouping together related code. They let you break your code up into smaller, more manageable pieces that can be reused easily.

Writing clean and efficient code is very important for both speed and readability. One of the best ways to do this is to write DRY code. This just stands for ‘Do not repeat yourself. You should not be using the same lines of code throughout your program.

Using a function in Python is quite easy. Creating a function is simple. Just use the keyword def followed by the name of your function. Then the function is called by writing the name with parentheses. You can see this in the example above.

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