In some occasions, you will have to write an essay in the extremely short amount of time on the exam in college or high school. Also, you may be a little bit of a procrastinator, and find yourself in a situation when the paper is due tomorrow morning, and you have not even chosen the topic yet. Even though a last-minute essay cannot look as great as a work prepared successively and carefully within the whole time given, you still have a chance to submit a decent paper. The working process will require your full attention and a lot of effort, even if you are assigned a simple essay. However, if you learn the next few tips, the essay writing will seem significantly easier and feasible even when you are short on time.

Firstly, clean up your working space to get started. Make sure you have everything you need on the table, take a pen, a few sticky notes, your laptop, and read through the assignment requirements. In case no prompt is given, search for good essay topics, and pick a few uncommon and interesting ones you will be able to write about. Making a final choice, think which topic is the most relevant to your current studies and will not take too much to research.

Afterwards, look for the most trustworthy sources or the ones you are certainly allowed to use. If you are not sure, access the online library or any free services where you can look for the books and articles for your essay. Use sticky notes to write down the information and put them in front of you to see how much data has been gathered and if you need to continue researching. Reread these notes from time to time and cross out the info you do not find relevant anymore.

When you have the data you need to produce a quality work, it is crucial to think about the structure of the future paper. If you are not sure how to write an essay outline properly, check what your essay type is first. Each type is organized differently, so you need to look up the structure every time you are given an essay homework. You can also search for an example of the essay on your topic, and adhere to its outline. No matter what kind of essay you are going to write, it is important to start with a thesis statement. It should declare what problem you will review in the paper, and which facts or arguments you will use to do it professionally. As these arguments will be discussed in the main part of the essay, outline the body paragraphs and put down a few sentences with the rough description of each paragraph. Think of the way you will engage the reader in the introduction, and which thought will be conclusive for the paper. When the direction of the work is clear from the outline, use it to draft the first version of the essay.

If you are not used to model essay writing, do not worry - your draft should not necessarily look like a masterpiece. It is only the depiction of your thoughts, and as you will have them written down, it will be easier to create a good essay. There is no best way to write an essay, so trust the working methods you usually use. You may like taking short breaks once in a few minutes, or write everything in one sit - just make sure to keep the focus on writing and avoid the urge to call a friend or watch something online. Thus, you will finish the paper faster, and will not feel guilty for engaging in other activities afterwards.

Do not forget to go through the essay a few times after the completion. Everyone makes typos and mistakes by accident, but it is about you to find and fix them before your teacher does. If you need help with an essay editing, try asking a friend or a family member to read and analyze your work. Also, you can order editing services in case your paper needs to be perfectly polished so that you can submit an ideal essay and get an excellent grade.

As these steps are simple to follow, you will not have any problems coping with an essay on time. Try the whole procedure at least once, and you will not have to use any other tips preparing an essay paper during your studies!

How do I import an igraph into R?

The simplest way to install the igraph R package is typing install. packages(“igraph”) in your R session. If you want to download the package manually, the following link leads you to the page of the latest release on CRAN where you can pick the appropriate source or binary distribution yourself.

What is Python igraph?

igraph is on the Python Package Index with pre-compiled wheels for most Python distributions and platforms, so in most cases it can simply be installed using pip : $ pip install igraph. The command above should attempt to download a pre-compiled wheel if your platform and Python version are among the supported ones.

Is igraph faster than Networkx?

On the pokec dataset it takes just 0.2s to run the page rank algorithm (graph-tool: 1.7s, igraph: 59.6s, snap: 19.5s). For the k-core decomposition it is also 10 times faster than all other competitors or 2000 times networkx.

How do I plot a node in R?

We can set the node & edge options in two ways – the first one is to specify them in the plot() function, as we are doing below. The second way to set attributes is to add them to the igraph object….5.1 Plotting parameters.

edge.arrow.width Arrow width, defaults to 1

How do you cite an Igraph?

Citing igraph To cite igraph in publications, please use the following reference: Gábor Csárdi, Tamás Nepusz: The igraph software package for complex network research. InterJournal Complex Systems, 1695, 2006.

What is adjacency matrix representation of graphs?

An adjacency matrix is a way of representing a graph as a matrix of booleans (0’s and 1’s). A finite graph can be represented in the form of a square matrix on a computer, where the boolean value of the matrix indicates if there is a direct path between two vertices. For example, we have a graph below.

What are graphing tools?

graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library.

Why is NetworkX so slow?

NetworkX, on the other hand, comes at a distant third with running times in the order of 40 to 250 times slower than graph-tool. This is mostly due to its pure Python implementation, which is known to be in general substantially slower than C/C++ (see here and here for further comparisons).

Is NetworkX a good library?

Python: NetworkX is a robust library which has built-in visualization but also has an interface to Graphviz using pyGraphviz. (pyGraphviz and NetworkX are written by the same author). NetworkX is open source and a very easy to use.