Morse Code Translator - Convert text to morse code online

Welcome on, one of the best Morse Code Translator (morsecode übersetzer) website. On this website, you can convert English text to morse code or morse code to English text.

What is Morse Code?
Morse Code is a combination of dots, dashes and spaces that together make letters and words. It is an alphabet that has ben invented to simplify communication and create letters using only dots, dashes and spaces.

What is Morse Code used for?
Morse Code was, and still is, used a lot during war and combat as it is a quick way to get messages across the country. The most famous word used in Morse Code is S.O.S which means Save Our Souls. This is a distress message for anyone who is in danger!

#morse code translator #morse code numbers chart #morse code alphabets

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Morse Code Translator - Convert text to morse code online

Welcome on, one of the best Morse Code Translator (morsecode übersetzer) website. On this website, you can convert English text to morse code or morse code to English text.

What is Morse Code?
Morse Code is a combination of dots, dashes and spaces that together make letters and words. It is an alphabet that has ben invented to simplify communication and create letters using only dots, dashes and spaces.

What is Morse Code used for?
Morse Code was, and still is, used a lot during war and combat as it is a quick way to get messages across the country. The most famous word used in Morse Code is S.O.S which means Save Our Souls. This is a distress message for anyone who is in danger!

#morse code translator #morse code numbers chart #morse code alphabets

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

• J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7, Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

OST to PST Converter Free to Convert OST to PST Online

When the exchange server is synchronised with MS Outlook then, automatically a copy of its mailboxes will be generated in OST (Offline Storage Table) file format. The user can access OST data in the offline mode and work on them. The changes will get updated when the internet connectivity is re-established. OST files cannot be accessed in the other system or remote system. So to access the OST files in another system Outlook, then convert Outlook OST to PST format. Due to various reasons for which users’ want to convert OST to PST file format such as the Exchange might face some technical issues, downtime or crash. How to convert OST to PST in Outlook 2016, 2013, 2010? Well, in this blog, we will discuss both manual as well as the professional best OST to PST Converter online solution.
For better understanding of users’, we have listed some common reasons below.

Why There is a Need to Export OST to PST Outlook?

Before providing methods to the query “how to convert OST file to PST in outlook 2016”, first understand why users’ need to convert OST to PST. Some of the basic reasons are provided below.

• When the Exchange server is under maintenance.
• Accidental deletion of the Exchange server account.
• Virus or Malware attacks.
• Power Failures or intrusions by malicious software.

These are a few reasons for Outlook OST to PST conversion. Now let’s proceed ahead to different methods to convert OST to PST online.

How to Convert OST to PST in Outlook 2016 Manually?

Manual strategies are cost-effective methods and here, we will discuss the complete manual steps for OST to PST conversion. Before starting the steps, it is suggested to create a backup copy of the original data as there might be a risk of human error that can ultimately lead to severe data loss. How to convert OST to PST manually? Follow the methods provided below -

Method 1: Import/ Export Feature

1. Open your Microsoft Outlook program.
2. Click on the File tab.
3. Select the Import/Export option.
4. Click on Export to a file.
5. Press the Next button.
6. Now Select the Personal File folder (.pst).
7. Click on the Parent root.
8. Check on the include subfolders
9. Click on browse and navigate to the path to save the resultant data.
10. Click on the finish button.

Method 2: Use Outlook Archive Feature

1. Sign-in to Microsoft Outlook.
2. Go to the File section
3. Click on Options
4. Now, click on the Advanced section
5. Click on Auto Archive settings…
6. Navigate to the path to save the archived files.
7. Click on the OK button.

Drawbacks

• Manual Processes are lengthy and more time-consuming.
• Need connectivity with the Exchange server.
• Unable to export corrupt OST data.
• Outlook application installation is required.
• Feasible for small sized OST files only.
• High risk of data loss.

How to Convert OST to PST in Outlook 2016 Using DRS OST to PST Converter

To avoid all the limitations that we have already seen above with the conventional manual techniques, users can opt for a well known and reliable automated method for conversion. There are numerous third-party solutions available to convert OST to PST, however it is suggested to use a trusted software. Using the smart DRS Best OST to PST Converter online utility that allows to export OST to PST, MBOX, MSG, EML, PDF, CSV, HTML, Gmail, Yandex mail, Yahoo, Office 365, etc. It can easily open corrupt OST files and convert them to healthy PST. The tool even allows users to smoothly export all the mailbox items like attachments, calendar, contacts, journals, tasks, etc. There are no file size restrictions and no risk of severe data loss. The advanced software is compatible with all versions of Mac and Windows. The free OST to PST Converter online version allows to export 50 emails for free.

Conclusion

Above in this blog, we have discussed the recommended solutions by experts on the query “how to convert OST to PST in Outlook 2016”. At the end of this article, we can conclude that manual strategies have several limitations, so it is suggested to use the well known DRS OST to PST Converter for an effective, accurate and effortless conversion.

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Morse Code Translator Detect Blinks — Python, OpenCV, MediaPipe

Hello everyone,

It has been a while since the last time I posted a tutorial, or something in general. Basically life happened and I decided not to share rather than sharing low quality content. Today, I’ll walk you through a computer vision project that takes your live video input and translates your blinks into Morse Alphabet so you can blink short and long to write messages.

The source code for the project is here, I also used this awesome tutorial as a boiler plate to start with, if you want to learn more about Computer Vision applications you can check the channel owner’s channel from the link I posted. So without further ado let’s dive right into it.

As for the beginning I want to explain MediaPipe library a little bit, “MediaPipe offers open source cross-platform, customizable ML solutions for live and streaming media.”, this definition is from their own website and explains what you can do with that library shortly and cleanly, they offer several other solutions that can run on different platforms and I’ll explain all of them in a different post in the future. The feature that we’ll use today is called “Face Mesh”, this solution provides us a face landmark map with the most important 468 landmarks that can be seen in a human’s face. Using that map we’ll calculate the ratio between some particular points in the face and with that information we’ll detect if the person on the camera blinked or not.

#python #opencv #mediapipe #computer-vision #morse code translator detect blinks — python, opencv, mediapipe #morse code translator detect blinks

How to translate text with python

Introduction

In this tutorial, we will explore different possibilities to translate a text or word using python. From my experience, this is very helpful if you want to automate the translation of many paragraphs, sentences or words.

Furthermore, you can have a backend worker, which receives new data constantly and can either return a request with the translation or store different translations in a database (this is very useful in NLP tasks).

One of the reasons to choose Python apart from the clear syntax and the extensive library is the great community that works extensively on the development of the language itself or extending the functionality with third party modules.

Precisely, one of the modules that makes it straightforward to translate texts is the deep_translator, which provides support for multiple famous translators.

#python #google-translate #translation #translators #translate