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For a cloud- and web-based tool for tracking projects, tasks, lists, team members, and more, chúng tôi offers extensive and flexible features.

If you’re considering giving it a try or have already signed up for a free trial, making the most of the tool means knowing what it can do for you and your team. Let’s delve into how to use Smartsheet for beginners just getting started.

Table of Contents

What is Smartsheet?

If you’ve ever used applications like Asana, chúng tôi or similar project management software, Smartsheet is comparable in purpose, structure, and features. You can use it alone or collaborate with others, create dashboards for quick access to items, and enjoy multiple views like Kanban, calendar, and grid.

Smartsheet also provides automated workflows, templates for quick starts, helpful reports, custom forms, and integrations with other applications to streamline your processes.

The best way to begin using Smartsheet is to create or import a project, sheet, or list of tasks that you want to track. We’ll then walk you through the features of each tool.

Create, Import, or Use a Template

Choose Create, and you have eight options for Grid, Project, Cards, Task List, Form, Report, and Dashboard/Portal. Select the type of item you want to create, give it a name, and pick Create.

Choose Import if you have a project plan or task sheet elsewhere that you’d like to start with. Pick Microsoft Excel, Microsoft Project, Google Sheets, or Atlassian Trello. Then follow the prompts to import the item.

If you’d like to start with a template or template set, choose Browse All Solutions, select an industry, or use the Search box to find something specific. 

Select a template or set to see additional information. Then to use a template, select the Use button.

For a template set, select Learn More to get full details on what’s included and download the set.

Use the Project Assistant

If it’s a new project that you want to start with, you can also use the Project Assistant. This gives you a head start on setting up the project.

In the Solution Center, select Project Assistant. Name your project, enter two tasks to get started, and add two subtasks for Task #1.

You’ll then see the Grid View layout for your new project with the tasks and subtasks you entered. 

Project Features

Tracking your project in Smartsheet is easy with project management tools built right in like the Gantt View.

You can add baselines and show or hide the critical path using the icons on the top right.

Select the gear icon to open the Project Settings. Then adjust the Dependency Settings, Timeline Display, and Resource Management.

Task List Features

The task list has exactly what you need to track your to-dos from start to finish. 

Enter the task name, due date, assignee, and status. Use the Done column to mark tasks completed and the Comments section for notes.

Cards Features

If you like the Kanban method of project management, you can use the Cards layout, whether for yourself or your team.

You’ll start with lanes for Uncategorized, Backlog, Planning, In Progress, and Complete. However, you can change these labels per your project.

Choose between a compact or full view of your cards and adjust the Card View settings with the gear icon on the top right.

Grid Features Form Features

Building a custom form is a useful feature for all sorts of projects. With Smartsheet, you can design your form and adjust its settings easily.

Add and remove Form Elements with the section on the left. Then, select a form field to adjust its particular settings on the right. For example, you can make a field required, include a label or help text, use validation, and add logic.

Adjust the form settings for the Theme and Brand, Security, Form Submission, and emails for submissions.

Report Features

Create a Row Report, Summary Report, or both. Select the sheet or project and add the columns. You can add filters, sort and group columns, and include a summary at the top.

Dashboard Features

By creating a Smartsheet dashboard, you can see a snapshot of your project, check on active items, see a handy chart, or view metrics.

Give your dashboard a name, and then choose the widgets you want to use. You’ll see a nice selection of widgets on the right and simply select one to add it. 

Smartsheet Navigation, Layout, and Tools

Smartsheet offers an easy way to navigate the application as well as use the tools. 

Left-Hand Navigation

On the left side you have the main navigation for Home, Notifications, Browse, Recents, Favorites, WorkApps, and the Solution Center. When you log into Smartsheet, select where you’d like to start.

At the bottom, select the Help icon (question mark) icon for assistance or the Account icon to adjust your profile and settings.

Right-Side Tools

On the right side are tools. You’ll see these on the screen for each item you use, such as a Project, Task List, or Cards. Exceptions are the Dashboard and Report. 

When you select a tool, a sidebar displays containing the corresponding items. You have Conversations, Attachments, Proofs, Update Requests, Publish, Activity Log, and Summary. 

Top Toolbar

On the top of each item, you have additional tools. On the left side, you can save, print, undo, or redo an action. Directly next to that, you can change your view which is quite handy. Switch between the Grid, Gantt, Card, or Calendar views. 

You’ll also see font and format buttons similar to what you see in Microsoft Word. This allows you to change the font style, size, or color, change the alignment, format as currency, and more.

Additional Smartsheet Features and Options

Once you learn the basics of how to use Smartsheet, take a look at these additional features and options.

Sharing: Along with the real-time conversations and collaboration tools, you can adjust the sharing and permission settings for your team. Use the Share button on the top right to view your options.

Integrations: Connect Smartsheet to apps like Slack, Google Drive, Gmail, OneDrive, Jira, and more. To view your options, go to the Solution Center, pick Browse All Solutions, and select See More Add-Ons in the Add-Ons section.

Automated Workflows: Automate tasks for your project or sheet by selecting a trigger and action. You can automate things like notifications, approval requests, recording a date, or locking rows. Select the Automation tab above the top toolbar.

You can also create a workspace, use conditional formatting, and check out functionality for creating a web or mobile app for your company.

Smartsheet is a full-featured, robust tool for managing projects of all sizes. Be sure to check out their subscription plan pricing for the best fit for you.

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Python Numpy Tutorial For Beginners: Learn With Examples

What is NumPy in Python?

NumPy is an open source library available in Python, which helps in mathematical, scientific, engineering, and data science programming. It is a very useful library to perform mathematical and statistical operations in Python. It works perfectly for multi-dimensional arrays and matrix multiplication. It is easy to integrate with C/C++ and Fortran.

For any scientific project, NumPy is the tool to know. It has been built to work with the N-dimensional array, linear algebra, random number, Fourier transform, etc.

NumPy is a programming language that deals with multi-dimensional arrays and matrices. On top of the arrays and matrices, NumPy supports a large number of mathematical operations. In this part, we will review the essential functions that you need to know for the tutorial on ‘TensorFlow.’

Why use NumPy?

NumPy is memory efficiency, meaning it can handle the vast amount of data more accessible than any other library. Besides, NumPy is very convenient to work with, especially for matrix multiplication and reshaping. On top of that, NumPy is fast. In fact, TensorFlow and Scikit learn to use NumPy array to compute the matrix multiplication in the back end.

In this Python NumPy Tutorial, we will learn:

How to Install NumPy

To install NumPy library, please refer our tutorial How to install TensorFlow. NumPy is installed by default with Anaconda.

In remote case, NumPy not installed-

You can install NumPy using Anaconda:

conda install -c anaconda numpy

In Jupyter Notebook :

import sys !conda install --yes --prefix {sys.prefix} numpy Import NumPy and Check Version

The command to import numpy is:

import numpy as np

Above code renames the Numpy namespace to np. This permits us to prefix Numpy function, methods, and attributes with ” np ” instead of typing ” numpy.” It is the standard shortcut you will find in the numpy literature

To check your installed version of NumPy, use the below command:

print (np.__version__)


1.18.0 What is Python NumPy Array?

NumPy arrays are a bit like Python lists, but still very much different at the same time. For those of you who are new to the topic, let’s clarify what it exactly is and what it’s good for.

As the name kind of gives away, a NumPy array is a central data structure of the numpy library. The library’s name is actually short for “Numeric Python” or “Numerical Python”.

Creating a NumPy Array

Simplest way to create an array in Numpy is to use Python List

myPythonList = [1,9,8,3]

To convert python list to a numpy array by using the object np.array.

numpy_array_from_list = np.array(myPythonList)

To display the contents of the list



array([1, 9, 8, 3])

In practice, there is no need to declare a Python List. The operation can be combined.

a = np.array([1,9,8,3])

NOTE: Numpy documentation states use of np.ndarray to create an array. However, this the recommended method.

You can also create a numpy array from a Tuple.

Mathematical Operations on an Array

You could perform mathematical operations like additions, subtraction, division and multiplication on an array. The syntax is the array name followed by the operation (+.-,*,/) followed by the operand


numpy_array_from_list + 10


array([11, 19, 18, 13])

This operation adds 10 to each element of the numpy array.

Shape of Array

You can check the shape of the array with the object shape preceded by the name of the array. In the same way, you can check the type with dtypes.

import numpy as np a = np.array([1,2,3]) print(a.shape) print(a.dtype) (3,) int64

An integer is a value without decimal. If you create an array with decimal, then the type will change to float.

#### Different type b = np.array([1.1,2.0,3.2]) print(b.dtype) float64 2 Dimension Array

You can add a dimension with a “,”coma

Note that it has to be within the bracket []

### 2 dimension c = np.array([(1,2,3), (4,5,6)]) print(c.shape) (2, 3) 3 Dimension Array

Higher dimension can be constructed as follow:

### 3 dimension d = np.array([ [[1, 2,3], [4, 5, 6]], [[7, 8,9], [10, 11, 12]] ]) print(d.shape) (2, 2, 3)

Objective Code

Create array array([1,2,3])

print the shape array([.]).shape

What is numpy.zeros()?

numpy.zeros() or np.zeros Python function is used to create a matrix full of zeroes. numpy.zeros() in Python can be used when you initialize the weights during the first iteration in TensorFlow and other statistic tasks.

numpy.zeros() function Syntax

numpy.zeros(shape, dtype=float, order='C')

Python numpy.zeros() Parameters


Shape: is the shape of the numpy zero array

Dtype: is the datatype in numpy zeros. It is optional. The default value is float64

Order: Default is C which is an essential row style for numpy.zeros() in Python.

Python numpy.zeros() Example

import numpy as np np.zeros((2,2))


array([[0., 0.], [0., 0.]])

Example of numpy zero with Datatype

import numpy as np np.zeros((2,2), dtype=np.int16)


array([[0, 0], [0, 0]], dtype=int16) What is numpy.ones()?

np.ones() function is used to create a matrix full of ones. numpy.ones() in Python can be used when you initialize the weights during the first iteration in TensorFlow and other statistic tasks.

Python numpy.ones() Syntax

numpy.ones(shape, dtype=float, order='C')

Python numpy.ones() Parameters


Shape: is the shape of the chúng tôi Python Array

Dtype: is the datatype in numpy ones. It is optional. The default value is float64

Order: Default is C which is an essential row style.

Python numpy.ones() 2D Array with Datatype Example

import numpy as np np.ones((1,2,3), dtype=np.int16)


array([[[1, 1, 1], [1, 1, 1]]], dtype=int16)

numpy.reshape() function in Python

Python NumPy Reshape function is used to shape an array without changing its data. In some occasions, you may need to reshape the data from wide to long. You can use the np.reshape function for this.

Syntax of np.reshape()

numpy.reshape(a, newShape, order='C')


a: Array that you want to reshape

newShape: The new desires shape

Order: Default is C which is an essential row style.

Example of NumPy Reshape

import numpy as np e = np.array([(1,2,3), (4,5,6)]) print(e) e.reshape(3,2)


[[1 2 3] [4 5 6]] array([[1, 2], [3, 4], [5, 6]])

numpy.flatten() in Python

Python NumPy Flatten function is used to return a copy of the array in one-dimension. When you deal with some neural network like convnet, you need to flatten the array. You can use the np.flatten() functions for this.

Syntax of np.flatten()


Order: Default is C which is an essential row style.

Example of NumPy Flatten



array([1, 2, 3, 4, 5, 6])

What is numpy.hstack() in Python?

Numpy.hstack is a function in Python that is used to horizontally stack sequences of input arrays in order to make a single array. With hstack() function, you can append data horizontally. It is a very convenient function in NumPy.

Lets study hstack in Python with an example:


## Horitzontal Stack import numpy as np f = np.array([1,2,3]) g = np.array([4,5,6]) print('Horizontal Append:', np.hstack((f, g)))


Horizontal Append: [1 2 3 4 5 6]

What is numpy.vstack() in Python?

Numpy.vstack is a function in Python which is used to vertically stack sequences of input arrays in order to make a single array. With vstack() function, you can append data vertically.

Lets study it with an example:


## Vertical Stack import numpy as np f = np.array([1,2,3]) g = np.array([4,5,6]) print('Vertical Append:', np.vstack((f, g)))


Vertical Append: [[1 2 3] [4 5 6]]

After studying NumPy vstack and hstack, let’s learn an example to generate random numbers in NumPy.

Generate Random Numbers using NumPy

To generate random numbers for Gaussian distribution, use:

numpy.random.normal(loc, scale, size)


Loc: the mean. The center of distribution

Scale: standard deviation.

Size: number of returns


## Generate random nmber from normal distribution normal_array = np.random.normal(5, 0.5, 10) print(normal_array) [5.56171852 4.84233558 4.65392767 4.946659 4.85165567 5.61211317 4.46704244 5.22675736 4.49888936 4.68731125]

If plotted the distribution will be similar to following plot

Example to Generate Random Numbers using NumPy

NumPy Asarray Function

The asarray()function is used when you want to convert an input to an array. The input could be a lists, tuple, ndarray, etc.


numpy.asarray(data, dtype=None, order=None)[source]


data: Data that you want to convert to an array

dtype: This is an optional argument. If not specified, the data type is inferred from the input data

Order: Default is C which is an essential row style. Other option is F (Fortan-style)


Consider the following 2-D matrix with four rows and four columns filled by 1

import numpy as np A = np.matrix(np.ones((4,4)))

If you want to change the value of the matrix, you cannot. The reason is, it is not possible to change a copy.

np.array(A)[2]=2 print(A) [[1. 1. 1. 1.] [1. 1. 1. 1.] [1. 1. 1. 1.] [1. 1. 1. 1.]]

Matrix is immutable. You can use asarray if you want to add modification in the original array. Let’s see if any change occurs when you want to change the value of the third rows with the value 2.

np.asarray(A)[2]=2 print(A)

Code Explanation:

np.asarray(A): converts the matrix A to an array

[2]: select the third rows


[[1. 1. 1. 1.] [1. 1. 1. 1.] [2. 2. 2. 2.] # new value [1. 1. 1. 1.]] What is numpy.arange()?

numpy.arange() is an inbuilt numpy function that returns an ndarray object containing evenly spaced values within a defined interval. For instance, you want to create values from 1 to 10; you can use np.arange() in Python function.


numpy.arange(start, stop, step, dtype)

Python NumPy arange Parameters:

Start: Start of interval for np.arange in Python function.

Stop: End of interval.

Step: Spacing between values. Default step is 1.

Dtype: Is a type of array output for NumPy arange in Python.


import numpy np np.arange(1, 11)


array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])


If you want to change the step in this NumPy arange function in Python example, you can add a third number in the parenthesis. It will change the step.

import numpy np np.arange(1, 14, 4)


array([ 1, 5, 9, 13]) NumPy Linspace Function

Linspace gives evenly spaced samples.


numpy.linspace(start, stop, num, endpoint)


Start: Starting value of the sequence

Stop: End value of the sequence

Num: Number of samples to generate. Default is 50

Endpoint: If True (default), stop is the last value. If False, stop value is not included.


For instance, it can be used to create 10 values from 1 to 5 evenly spaced.

import numpy as np np.linspace(1.0, 5.0, num=10)


array([1. , 1.44444444, 1.88888889, 2.33333333, 2.77777778, 3.22222222, 3.66666667, 4.11111111, 4.55555556, 5. ])

If you do not want to include the last digit in the interval, you can set endpoint to false

np.linspace(1.0, 5.0, num=5, endpoint=False)


array([1. , 1.8, 2.6, 3.4, 4.2]) LogSpace NumPy Function in Python

LogSpace returns even spaced numbers on a log scale. Logspace has the same parameters as np.linspace.


numpy.logspace(start, stop, num, endpoint)


np.logspace(3.0, 4.0, num=4)


array([ 1000. , 2154.43469003, 4641.58883361, 10000. ])

Finaly, if you want to check the memory size of an element in an array, you can use itemsize




Each element takes 16 bytes.

Indexing and Slicing in Python


## Slice import numpy as np e = np.array([(1,2,3), (4,5,6)]) print(e) [[1 2 3] [4 5 6]]

Remember with numpy the first array/column starts at 0.

## First column print('First row:', e[0]) ## Second col print('Second row:', e[1])


First row: [1 2 3] Second row: [4 5 6]

In Python, like many other languages,

The values before the comma stand for the rows

The value on the rights stands for the columns.

If you want to select a column, you need to add : before the column index.

: means you want all the rows from the selected column.

print('Second column:', e[:,1]) Second column: [2 5]

To return the first two values of the second row. You use : to select all columns up to the second

## Second Row, two values print(e[1, :2]) [4 5] Statistical Functions in Python

NumPy has quite a few useful statistical functions for finding minimum, maximum, percentile standard deviation and variance, etc from the given elements in the array. The functions are explained as follows −

Numpy is equipped with the robust statistical function as listed below

Function Numpy

Min np.min()

Max np.max()

Mean np.mean()

Median np.median()

Standard deviation np.std()

Consider the following Array:


import numpy as np normal_array = np.random.normal(5, 0.5, 10) print(normal_array)


[5.56171852 4.84233558 4.65392767 4.946659 4.85165567 5.61211317 4.46704244 5.22675736 4.49888936 4.68731125]

Example of NumPy Statistical function

### Min print(np.min(normal_array)) ### Max print(np.max(normal_array)) ### Mean print(np.mean(normal_array)) ### Median print(np.median(normal_array)) ### Sd print(np.std(normal_array))


4.467042435266913 5.612113171990201 4.934841002270593 4.846995625786663 0.3875019367395316 What is numpy dot product? product is a powerful library for matrix computation. For instance, you can compute the dot product with chúng tôi chúng tôi product is the dot product of a and b. in Python handles the 2D arrays and perform matrix multiplications.

Syntax:, y, out=None)



x,y: Input arrays. x and y both should be 1-D or 2-D for the function to work

out: This is the output argument for 1-D array scalar to be returned. Otherwise ndarray should be returned.


The function in Python returns a Dot product of two arrays x and y. The dot() function returns a scalar if both x and y are 1-D; otherwise, it returns an array. If ‘out’ is given then it is returned.


Dot product in Python raises a ValueError exception if the last dimension of x does not have the same size as the second last dimension of y.


## Linear algebra ### Dot product: product of two arrays f = np.array([1,2]) g = np.array([4,5]) ### 1*4+2*5, g)


14 Matrix Multiplication in Python

The Numpy matmul() function is used to return the matrix product of 2 arrays. Here is how it works

1) 2-D arrays, it returns normal product

3) 1-D array is first promoted to a matrix, and then the product is calculated


numpy.matmul(x, y, out=None)


x,y: Input arrays. scalars not allowed

out: This is optional parameter. Usually output is stored in ndarray


In the same way, you can compute matrices multiplication with np.matmul

### Matmul: matruc product of two arrays h = [[1,2],[3,4]] i = [[5,6],[7,8]] ### 1*5+2*7 = 19 np.matmul(h, i)


array([[19, 22], [43, 50]]) Determinant

Last but not least, if you need to compute the determinant, you can use np.linalg.det(). Note that numpy takes care of the dimension.


## Determinant 2*2 matrix ### 5*8-7*6np.linalg.det(i)


-2.000000000000005 Summary

NumPy is an open source library available in Python, which helps in mathematical, scientific, engineering, and data science programming.

numpy.zeros() or np.zeros Python function is used to create a matrix full of zeroes.

numpy.ones() in Python can be used when you initialize the weights during the first iteration in TensorFlow and other statistic tasks.

Python NumPy Reshape function is used to shape an array without changing its data.

Python NumPy Flatten function is used to return a copy of the array in one-dimension.

Numpy.hstack is a function in Python that is used to horizontally stack sequences of input arrays in order to make a single array.

Numpy.vstack is a function in Python which is used to vertically stack sequences of input arrays in order to make a single array.

numpy.arange() is an inbuilt numpy function that returns an ndarray object containing evenly spaced values within a defined interval. product is a powerful library for matrix computation.

The Numpy matmul() function is used to return the matrix product of 2 arrays.

Smartsheet Vs. Excel: Is Smartsheet Better Than Excel?

So, which is better for you? Let’s find out. 

Table of Contents

Smartsheet vs. Excel: Which Is Better?

Excel is a powerful statistical tool with project management capabilities, and Smartsheet focuses on collaborative task management. 

However, both programs have many overlapping features, so let’s look at how they differ. 


Available views. Excel is limited to the traditional grid view, whereas Smartsheet has several customizable views, including Kanban boards, Gantt charts, grid views, and calendar views. 

Collaboration and project sharing. Smartsheet is an online platform, so updates happen in real-time. It allows users to share and track milestones, automate notifications, and update the project simultaneously. Excel does have collaboration capabilities, but some features are limited when co-authoring, and you must share files via OneDrive. 

Project organization. Smartsheet allows you to create a custom project dashboard by dragging and dropping widgets to organize key information better. Further, it’s possible to create task lists with subtasks in Smartsheet. With Excel, this level of work management needs to occur manually. 

Version history. With the desktop Excel app, it’s hard to track document versions and edit histories. Smartsheet features changes-over-time tracking and allows you to see who did what and when in each cell in each document. It also allows you to limit access via sharing controls so that only certain team members can alter certain parts of the sheet. 

Data analysis. Excel is one of the most popular tools for statistical analysis and tracking datasets. Excel has several features that make it perfect for this job, from shortcuts to formulas that can remove much of the manual work involved in a field like accounting. Smartsheet has several data visualization features, and for light work will be more than suitable. However, Excel is currently the most powerful solution for data analysis.

Excel outperforms Smartsheet when analyzing large amounts of data, using complex formulas, filtering, or running macros. Smartsheet, on the other hand, is the clear winner when it comes to project management capabilities.

However, it’s now possible to export data from Smartsheet to Excel and back again. The best resource management software may combine the two — Smartsheet for project tracking and Excel for data-intensive activities. 

Integrations and Compatibility

Smartsheet is available online via the web-based app and as an Android/iPhone app. Also, it integrates with around 130 professional services, including Box, Dropbox, Zapier, Salesforce, Jira, DocuSign, Google, and more.

Excel is available as a web-based app and on Windows, macOS, Android, and iOS. It integrates with nearly 800 other apps, including Power Bi and Azure – over six times the amount that Smartsheet integrates with, though this gap is constantly narrowing.


Smartsheet and Excel are similarly priced, though Excel is more flexible in purchasing options. 

Excel Online is free, but it’s a heavily slimmed-down version of the desktop app. The desktop app costs $159.99 as a one-off fee or $6.99 per month as part of Microsoft 365. 

Smartsheet is available at $7 per month for Pro users and $25 per month for businesses. 

Ease of Use

Both Excel and Smartsheet are relatively easy to use, though to get the most out of either app, they both have a substantial learning curve. 

In terms of collaboration, Smartsheet is far easier to use. Multiple users can make changes to a document without the headache of having multiple versions floating around. It’s also easier to access the program from different devices. 

However, Excel remains more or less ubiquitous, meaning that overall functionality and integrations are much broader. A side-effect of this is that there are endless Excel templates, how-to guides, and detailed tutorials on the internet you can tap into. 

Smartsheet vs. Excel: Which Is Better?

Smartsheet and Excel are powerful tools in their own rights, but they have different primary functions.

If you’re looking for a project management tool, then Smartsheet will likely be more useful than Excel. However, start with Excel if you need a powerful data visualization and analysis tool. If you need resource management and a powerful statistical tool, you might consider investing in both programs and combining their capabilities. 

Filezilla Guide For Beginners – Webnots

When you use any of the self-hosted platforms like chúng tôi it is necessary to know how to work with FTP applications. FileZilla is one of the easy to use File Transfer Protocol applications widely used by webmasters. You can use FileZilla to download files from your hosting server, upload new files and edit existing files remotely. If you are looking for learning how to use FTP, here is a FileZilla guide for beginner level users on how to setup FileZilla application and do file transfer.

Downloading FileZilla App

Download FileZilla

Earlier, you have to download the application from chúng tôi website. However, this is not required any amore and you can directly download the app from FileZilla site. You have three options available for downloading – standard FileZilla, with manual and pro.

FileZilla Versions

The manual version offers a PDF manual along with the app download which will cost you $4.99. The basic app is the same for all three versions except with pro version you can use cloud services. You can download the free app from their site or get the pro app from App Store.

FileZilla Pro App

Connecting to Server

Site Manager Option in FileZilla

Add your FTP account details which you must have created with your hosting company. If you don’t know how to create FTP account, read our article on how to connect Bluehost FTP account with FileZilla.

FileZilla Screen Overview

Once you connected to hosting server the screen will look something like below with various sections. Don’t get panic by looking various sections, it will take few minutes for you to understand the screen overview of FileZilla.

Copy Current Connection Settings to Site Manager

Message Log – Here you can view the connection status, command and response when you open each directory of your site on the server side. The file transfer status will also be shown here.

Local Site – This section is divided into two hals and all the folders of a selected path on your local system will be shown here in the first half. When a folder is selected, all files and folders under the selected folder will be showing in the second half.

Remote Site – Like local site, this section contains two halves to show remote site’s folder and the content inside the selected folder showing below. Remote site is nothing but your live site hosted on the server.

Transfer Queues – Here you can view the status of the transfer when you download, upload or edit a file on the server.

If you feel the screen is congested, you can enable or disable each section of the screen from the “View” menu or resize the viewing area by dragging the horizontal and vertical section dividers.

View or Hide FileZilla Screen Sections

Note: FileZilla toolbar shown above the quickconnect bar has quick shortcut icons for site manager, toggle each sections, disconnect server and few other options. Filelist status bars show the number of files and directories under the selected folders of local and remote site sections.

Upload, Download, View and Edit Files

Drag and drop files between local and remote sites to download or upload the files from or to server.

File Transfer

Status of file upload and download can be seen both in message log and transfer queue sections.

Check File Transfer Status in FileZilla

Transfer queue has three sections – Queued files, Failed transfers and Successful transfers and each sections shows the corresponding file’s status.

File Permission Settings

View and Change File Permissions

In the pop-up menu, select the read, write or execute option for each category of owner, group and public. Based on the selection the numeric value will change which is the one you will be seeing under “Permissions” column as explained above.

Setting File Permissions in FileZilla

Viewing Hidden Files

Depending on the server settings sometimes hidden files are not shown in FileZilla and hence you will not be able to see files like .htaccess. Select “Force showing hidden files” option from “Server” menu to view and edit hidden files.

Showing Hidden Files in FileZilla

You will see a warning message like below when enabling this option. If you are not able to view normal directory structure properly then disable this option and try again.

Warning When Force Showing Hidden Files in FileZilla

Disconnecting from Server

After you have completed the transactions it is recommended to close your connection by choosing “Disconnect” option from “Server” menu.

Disconnect Server in FileZilla

Additional Options

Following are some of the general operations you can do with FileZilla:

FileZilla is ideal FTP program for connecting to hosting server remotely for uploading, downloading and modifying files. You can use this app when migrating the whole site content to another hosting company.


Very easy to configure and connect to server

Supports FTP, FTPS and SFTP clients

Drag and drop support

Directory comparison

Available in 47 languages

Open source and free

Tabbed and easy graphical user interface

Works on macOS X, Windows and Linux based computers


Missing on-screen explanation of error messages.

How To Install A Dictionary For Use In Linux Terminal

Learning new words can be a pain when you’re pressed for time and the pages of a dictionary can only be flipped so fast. Thankfully, the Internet has placed a lot of powerful tools at your fingertips to help streamline such processes. After all, Google gives you word definitions right in its search results these days. However, even Google can’t help you when you’re stuck writing offline.

A locally stored dictionary utility can really come in handy when no other dictionary is available (or even when there is!), and options abound in the world of Linux software. Among these, there is one that runs quite nicely from your system’s terminal, and it’s called SDCV.

What Is SDCV?

SDCV is the command-line version of the popular StarDict extensible GUI dictionary application. The name stands for “StarDict Console Version.” StarDict itself runs on all major operating systems, including Windows, BSD and Linux variants.

What makes StarDict special also makes SDCV special – the availability of a vast assortment of dictionary files to incorporate into its lookup function. For the savvy, the option of handcrafting a dictionary is available as well.

In addition to the potential for simultaneous searching of multiple dictionaries at once, SDCV also benefits from configurable search patterns. We’ll take a look at the process for installing it and your first dictionary file below.

Install SDCV

Installing SDCV is straightforward in Ubuntu with the apt utility, and it is available in Debian’s repositories as well. Here’s the command for installation in Ubuntu:

Once installed, SDCV can be called, but it won’t have anything to offer as we haven’t installed any dictionaries yet.

Install a Dictionary File

First, we’ll need to find a dictionary file that SDCV can handle (DICT format). Luckily, there are some great ones linked in StarDict’s homepage.

We’ll use the Collaborative International Dictionary of English for this example.

This file comes compressed as a tarball. We’ll need to uncompress it and place it in the right directory for SDCV to recognize it. The following code accomplishes both at once:

To use the code above, replace “YOURFILEGOESHERE” with the full name and extension of your downloaded tar file. The command will extract the files contained inside to SDCV and StarDict’s shared dictionary folder at “/usr/share/stardict/dic.”

Run a Search

Now you can run SDCV from your terminal with the following command (changing “WORD” to the word you want to look up):

If SDCV comes up with multiple options for you to choose from, you can specify which you are interested in by selecting its number.


As a helpful addition to SDCV, you can also make use of another command-line tool for informational queries called “Wikit.”

Wikit allows you to quickly search Wikipedia from your terminal and see a synopsis for any term covered by the world’s community-maintained encyclopedia.

Note: Wikit requires chúng tôi (and npm) to be installed on your system as well and does not work offline. To install chúng tôi and npm for Ubuntu, use the following code:

To install Wikit, just use the following command:

Once you have installed Wikit, you can call it with the following command (change “SEARCH_PHRASE” to your own search phrase):

With SDCV and Wikit, you can quickly find information and definitions for pretty much anything. Try adding additional dictionary files to your SDCV library for more extensive offline searches.

Jeff Mitchell

Jeff is a long time laptop lover and coding hobbyist. His interests span the gamut from DAWs to Dapps and beyond. He runs a music/arts site at Odd Nugget.

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3 Web Hosting Tips For Beginners

Web hosting is a service wherein you can upload your website for everyone on the world wide web to see. Most people would like to believe that web hosting is simple, but the reality is quite different. So, before you get an account, here are three web hosting tips to consider.

1. Know What A Content Management System Is

Before anything else, you need to know what a content management system is. A content management system (CMS) is a set of files on a website. It acts like a simple system that can help website owners manage, curate, and publish their content. One of the most popular CMS out there is WordPress. 

If you want to learn more about CMS, you can find reliable companies like Ventra IP that provide WordPress web hosting to optimize your site. Significantly, your host will only install WordPress on your servers, making it distinct from standard hosting. This way, it’s now less of a hassle to maintain security and maximize your site’s performance. 

2. Know What The Terminologies Are

Aside from a content management system, it would help to become familiar with other web hosting and development terminologies. Even if subscribing to a web hosting company is supposed to be an easy ordeal, that’s only true for those who are tech-savvy when it comes to web development.

Web hosting can be confusing, especially if you’re new to building and publishing a website. So, before you even sign up for a web host provider, you must be familiar with the most common terminologies. Some of them are the following:


: A computer or network of computers that store your files and manage all the requests made by a website, such as streaming, downloading, uploading, etc.

Control Panel

: A page, website, or user interface in which you can control the settings of your web hosting account and select server settings for your website.


: Commonly referred to as a website address. Acquiring domains is typically separate from setting up a web hosting account. Typically, you need to lease it from a domain host server.

Bandwidth, CPU. Memory, And Storage Capacity

: These are a few server statistics directly correlated to your web hosting plan’s limitation. A hosting account with extreme limitations to these numbers can significantly impact the performance of your website.

Furthermore, there are many terminologies that you should be familiar with, like Web 3.0. Of course, the ones listed here are the most important, as most of the things you’ll do in your hosting account will revolve around these things.

3. Learn About Web Hosting Plans

Aside from those terminologies, you should know that most web hosting companies will offer their services in different plans. Depending on your website’s purpose and budget, you may need to choose the right plan for you. Typically, most web hosting plans can be categorized into three:


: This category often gives the bare minimum to a subscriber. Typically, it’ll allow you to publish and

design one or two websites

under an account. Plans that fall under this category are often ideal for people who want to publish an online portfolio or informational website for a small business. 


: This category is often ideal for business owners with an expansive website like an e-commerce website. 


: This category often gives large businesses an opportunity to establish an online presence and put their IT systems on their web host.


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