How GitHub Advanced Security for Azure DevOps Saves the Day (and Your Reputation)

Let's face it, developers: we've all accidentally committed a secret (or two) to our code repository at some point. Maybe it was an API key, a database password, or that super-secret encryption key you swore you'd never forget. ‍♂️

The problem?  Those exposed secrets can be a hacker's dream come true. A leaked secret can bring your entire application crashing down, wreaking havoc on your data and reputation. Shuddersville.  Many good developers do not pay attention to this critical aspect while working on the code, behaviour which most of the time becomes very costly and painful.

That's where GitHub Advanced Security for Azure DevOps swoops in like a superhero with a cape (well, maybe more like a shield, but you get the idea). This powerful integration brings the muscle of GitHub's security features into your Azure DevOps workflow, so you can identify and squash those secret leaks before they become a disaster.

Here's how GitHub Advanced Security for Azure DevOps saves your bacon:

• Secret Scanning: It acts like a super-sleuth, scouring your code for any exposed secrets like passwords, tokens, and keys. No more accidental oopsies making it past your commit.
• Dependency Scanning: Those third-party libraries you love? They can have hidden vulnerabilities. Advanced Security scans your dependencies to expose any weak spots so you can patch them up before they get exploited.
• CodeQL Code Scanning: This built-in code analysis tool is like a security X-ray for your codebase. It hunts for potential vulnerabilities and coding errors, so you can fix them before they become a problem.

The best part? This security suite integrates seamlessly into your Azure DevOps workflow. No need to jump through hoops or learn a whole new platform. You can find, fix, and prevent security issues all within your familiar Azure DevOps environment. Win-win!

So, ditch the stress of exposed secrets and vulnerable code. Embrace the power of GitHub Advanced Security for Azure DevOps. Your future self (and your security team) will thank you for it.

P.S. Looking for more info? Check out the official documentation to see how to get started with GitHub Advanced Security for Azure DevOps and start building more secure software today!

The Ultimate List of Python YouTube Channels – Real Python

 These are materials which can be used when learning to code in Python

---

The Ultimate List of Python YouTube Channels

Table of Contents

• Al Sweigart
• Anaconda Inc.
• Christian Thompson
• Clever Programmer
• CodingEntrepreneurs
• Corey Schafer
• Chris Hawkes
• CS Dojo
• Data School (Kevin Markham)
• David Beazley
• Enthought
• Michael Kennedy (Talk Python)
• PrettyPrinted
• PyCon Session Recordings
• PyData
• Real Python
• Reuven Lerner
• Sentdex (Harrison Kinsley)
• Socratica
• TheNewBoston (Bucky Roberts)
• Smaller Python Conferences

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We couldn’t find a good, up-to-date list of Python developer or Python programming YouTube channels online.

Learning Python on YouTube is a viable option these days, and we’re excited about what this new medium can do for programming education.

There are some really good YouTube channels that focus on Python development out there, but we just couldn’t find a list that was both comprehensive and up-to-date. So we created our own with the best and most Pythonic YouTubers.

We initially wrote this list based on information we gathered by reading forum posts and searching YouTube for Python channels directly. We’ll continue to add to the list with your feedback. We plan to keep this list updated, so feel free to leave a comment at the end of the page or tweet at us if you think anything is missing or if you’d like to see your own YouTube Python tutorials added.

In order for a channel to be included in our list, it must:

• Focus on Python tutorials
• Not be brand-new (> 2,000 subscribers)
• Be active (new videos are coming out) OR have an interesting archive with old content worth watching

Enjoy the Python goodness!

Al Sweigart

“Tons of sweet computer related tutorials and some other awesome videos too!”

• Website: automatetheboringstuff.com
• Twitter: @AlSweigart
• Subscribe: YouTube

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Anaconda Inc.

“With over 4.5 million users, Anaconda is the world’s most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy and SciPy that form the foundation of modern data science. Anaconda’s flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale and extend Anaconda to deliver actionable insights that drive businesses and industries forward.”

In addition to their company developed videos, including a fun lego-mation and Pyception short, Anaconda’s YouTube channel contains all the videos from AnacondaCon, a gathering of the passionate community of data scientists, IT professionals, analysts, developers, and business leaders all using the Anaconda distribution.

Christian Thompson

“A little bit about me and a lot about Python programming for beginners. I am a middle and high school teacher who uses Python as my teaching language. I firmly believe anyone can (and should) learn to program a computer and that Python is the perfect language for doing so.”

• Website: christianthompson.com
• Twitter: @tokyoedtech
• Subscribe: YouTube

Clever Programmer

“You can find awesome programming lessons here! Also, expect programming tips and tricks that will take your coding skills to the next level.”

CodingEntrepreneurs

“Coding for Entrepreneurs is a Programming Series for Non-Technical Founders. Learn Django, Python, APIs, Accepting Payments, Stripe, jQuery, Twitter Bootstrap, and much more.”

• Website: www.codingforentrepreneurs.com
• Twitter: @joincfe
• Subscribe: YouTube

Corey Schafer

“This channel is focused on creating tutorials and walkthroughs for software developers, programmers, and engineers. We cover topics for all different skill levels, so whether you are a beginner or have many years of experience, this channel will have something for you.”

Chris Hawkes

“We’re going to learn about programming, web design, responsive web design, Reactjs, Django, Python, web scraping, games, forms applications and more!”

CS Dojo

“Hey everyone! My name is YK, and I make videos mostly about programming and computer science here.”

• Website: csdojo.io
• Twitter: @ykdojo
• Subscribe: YouTube

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Data School (Kevin Markham)

“You’re trying to launch your career in data science, and I want to help you reach that goal! My in-depth tutorials will help you to master crucial data science topics using open source tools like Python and R.”

David Beazley

“An archive of David Beazley’s conference, user group, and training talks.”

Enthought

“For more than 15 years, Enthought has built AI solutions with science and engineering at the core. We accelerate digital transformation by enabling companies and their people to leverage the benefits of Artificial Intelligence and Machine Learning.”

Additionally, Enthought is best known for the early development, maintenance, and continued support of SciPy, as well as the primary sponsor for the SciPy US and EuroSciPy Conferences. In addition to the company developed content, this channel provides all the video recordings from the SciPy US and EuroScipy (before 2016) Conferences, talks and tutorials specifically focused on the advancement of scientific computing through open source Python software for mathematics, science, and engineering.

Michael Kennedy (Talk Python)

“Videos, demos, and lectures about programming - especially Python and web topics.”

PrettyPrinted

“I’m Anthony. I make programming videos.”

• Website: prettyprinted.com
• Twitter: @pretty_printed
• Subscribe: YouTube

PyCon Session Recordings

These are all PyCon talk and session recordings made available on YouTube. There’s no single channel that combines these. Instead, you’ll access each year’s videos on a separate “PyCon 20…” channel. Alternatively, you can use PyVideo.org to watch the session recordings.

PyData

“PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.”

• Website: pydata.org
• Twitter: @PyData
• Subscribe: YouTube

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Real Python

“Python tutorials and training videos for Pythonistas that go beyond the basics. On this channel you’ll get new Python videos and screencasts every week. They’re bite-sized and to the point so you can fit them in with your day and pick up new Python skills on the side.”

Reuven Lerner

“I’m Reuven Lerner, and I teach Python and data science to companies around the world. On this YouTube channel, I publish videos that will help you with Python programming.”

Sentdex (Harrison Kinsley)

“Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.”

Socratica

“Socratica makes high-quality educational videos on math and science. New videos every week! We’re a couple of Caltech grads who believe you deserve better videos. You’ll learn more with us!”

TheNewBoston (Bucky Roberts)

“Tons of sweet computer related tutorials and some other awesome videos too!”

Smaller Python Conferences

The following channels provide the tutorials, talks, and session recordings from many of the smaller local Python conferences held throughout the world.

Though on their own, most of these channels do not meet the requirement for 2000 subscribers, we list them here as honorable mentions because they represent the diverse Python community throughout the world.

Note that some (maybe older) videos from these conferences are available (together with other non-Python content) on the Next Day Video and Engineers.SG channels. Alternatively, PyVideo.org can serve as a one-stop-shop where you can find most (but not all) of these session recordings.

• EuroPython
• EuroSciPy
• Kiwi PyCon
• PyCascades
• PyCon Argentina (Ar)
• PyCon Australia (AU)
• PyCon Canada
• PyCon Czech (CZ)
• PyCon Finland
• PyCon Germany (DE)
• PyCon Hong Kong (HG)
• PyCon Ireland (IE)
• PyCon Italy (Nove)
• PyCon Japan (JP)
• PyCon Korea (KR)
• PyCon Malaysia (MY)
• PyCon Phillipines (PH)
• PyCon Poland (PL)
• PyCon Singapore (SG)
• PyCon Slovakia (SK)
• PyCon Ukraine (UA)
• PyCon United Kingdom (UK)
• PyGotham 2017
• PyOhio

If you think anything is missing from this list or if you’d like to see your own Python YouTube channel added, then please leave a comment below 

Working with PuppetLabs Using Vagrant

While working as DevOps Engineer one of the tools by definition that we use more, often is Puppet. Guess most people will think that you are 100% expert, which is not always the case. So, I need to create this post and track record of my own experiments with Puppet and (PuppetLabs + Vagrant)

You might as what is Vagrant ?
==> "Vagrant is an open-source software product for building and maintaining portable virtual software development environments, e.g. for VirtualBox, Hyper-V, Docker, VMware, and AWS. ... Vagrant simplifies the necessary software configuration management in order to increase development productivity. " read more here: https://www.vagrantup.com/intro/index.html

The initial indentation was to gain better understanding puppet file structure. So, I decided to use Puppetlabs for this ...

So, basically. I did create installed

• Installed Vagrant
• Used the Vagrant init command to pull the puppetlabs ubuntu VM
• Which created a file "Vagrantfile"
• created a dir puppetlabs

And then started the Setup, so here are the Logs ..

Tdls-Air:puppetlabs psalms91$ vagrant up
Bringing machine 'default' up with 'virtualbox' provider...
==> default: Box 'puppetlabs/ubuntu-16.04-32-puppet' could not be found. Attempting to find and install...
    default: Box Provider: virtualbox
    default: Box Version: 1.0.0
==> default: Loading metadata for box 'puppetlabs/ubuntu-16.04-32-puppet'
    default: URL: https://vagrantcloud.com/puppetlabs/ubuntu-16.04-32-puppet
==> default: Adding box 'puppetlabs/ubuntu-16.04-32-puppet' (v1.0.0) for provider: virtualbox
    default: Downloading: https://vagrantcloud.com/puppetlabs/boxes/ubuntu-16.04-32-puppet/versions/1.0.0/providers/virtualbox.box
==> default: Successfully added box 'puppetlabs/ubuntu-16.04-32-puppet' (v1.0.0) for 'virtualbox'!
==> default: Importing base box 'puppetlabs/ubuntu-16.04-32-puppet'...
==> default: Matching MAC address for NAT networking...
==> default: Checking if box 'puppetlabs/ubuntu-16.04-32-puppet' is up to date...
==> default: Setting the name of the VM: puppetlabs_default_1506687306250_65705
==> default: Clearing any previously set network interfaces...
==> default: Preparing network interfaces based on configuration...
    default: Adapter 1: nat
==> default: Forwarding ports...
    default: 22 (guest) => 2222 (host) (adapter 1)
==> default: Booting VM...
==> default: Waiting for machine to boot. This may take a few minutes...
    default: SSH address: 127.0.0.1:2222
    default: SSH username: vagrant
    default: SSH auth method: private key
    default:
    default: Vagrant insecure key detected. Vagrant will automatically replace
    default: this with a newly generated keypair for better security.
    default:
    default: Inserting generated public key within guest...
    default: Removing insecure key from the guest if it's present...
    default: Key inserted! Disconnecting and reconnecting using new SSH key...
==> default: Machine booted and ready!
==> default: Checking for guest additions in VM...
    default: The guest additions on this VM do not match the installed version of
    default: VirtualBox! In most cases this is fine, but in rare cases it can
    default: prevent things such as shared folders from working properly. If you see
    default: shared folder errors, please make sure the guest additions within the
    default: virtual machine match the version of VirtualBox you have installed on
    default: your host and reload your VM.
    default:
    default: Guest Additions Version: 5.0.20
    default: VirtualBox Version: 5.1
==> default: Mounting shared folders...
    default: /vagrant => /Users/psalms91/Vagrant_VM/puppetlabs
Tdls-Air:puppetlabs psalms91$

Tdls-Air:puppetlabs psalms91$ vagrant ssh
Welcome to Ubuntu 16.04 LTS (GNU/Linux 4.4.0-21-generic i686)

 * Documentation:  https://help.ubuntu.com/
vagrant@localhost:~$

After this I have my Puppet Labs VM running ... After this point was easy, I just needed to goo into the puppet installation dir and look into the dir structure.

done.. :-)

How to Code in Python 3 metaprogramming!

Some of the most significant changes in Python 3 are related to metaprogramming. In this tutorial, I'll cover decorators, class decorators, descriptors, and metaclasses. However, the focus will be on idioms and examples that are only....

XAMPP: Another web server daemon with SSL is already running

This is a peculiar error you will get if you run XAMPP in LINUX.

Assumption: XAMPP is unzipped @ /opt/ folder.

If you get the error "XAMPP: Another web server daemon with SSL is already running" when you run "./lampp start". Simply follow the steps below to get rid of this error:

1. Open the file /opt/lampp/etc/httpd.conf
2. Search the "Listen 80" and change it to some other port (e.g. Listen 2145)  (Line No. 40)
3. Open the file /opt/lampp/etc/extra/httpd-ssl.conf
4. Search the "Listen 443" and change it to some other port (e.g. Listen 16443) (Line No. 39)
5. Open the file "/opt/lampp/lampp"
6. Search for the port "testport 80" and replace it to "testport 2145". Also change the "testport 443" to "testport 16443". (Happens to be the Line No. 197, 214)
7. Now go and run "/opt/lampp/lampp start". (It should work now).

Hope this Helps :-)

md5sum.exe introduction

After you download all the Shorten (.shn) files for a particular disc or show, you want to verify that the files are not corrupted or otherwise unusable before you burn them to disc or host them on your file server. We do this by checking the downloaded Shorten (.shn) files against an .md5 file. An .md5 is a simple text file that contains a "fingerprint" of each Shorten file.

When you perform an md5 check, you are comparing the fingerprint from the files you downloaded to the fingerprint of the files on the server you downloaded from. If the md5's (fingerprints) match, you have an uncorrupted Shorten file.

 md5sum.exe - 48KB         88170 Downloads since 9/29/00

Windows 95/98/Me: Download md5sum.exe to c:\windows\command

Windows NT/2000: Download md5sum.exe to your c:\winnt\system32

 

Open an MS-DOS window and go to the directory of the show you want to check. When you are in that directory, type:

md5sum -c [filename].md5
 

You must insert the name of the .md5 file [without the brackets]. Below is an example of a successful md5sum check:

   

On the other hand, if a track does not pass the md5check, you will see the following:

If any Shorten files do not pass the .md5 check, you should delete the offending file(s), and try re-downloading. Then run the .md5 check again. The file(s) should now pass the .md5 check.

If the same files fail an .md5 check more than twice, you should contact the FTP Siteop you downloaded the files from and let them know what tracks are giving you a problem. They may be hosting a corrupted track without knowing it.

Open an MS-DOS window and go to the directory of the show you want to create an .md5 file for. When you are in that directory, type:

md5sum *.shn > [filename].md5
 

NOTE: You must insert the name of the .md5 file [without the brackets]. Example:
 

md5sum *.shn > ph94-06-26d1.md5

An .md5 file will be created and placed in that directory. Please remember to adhere the etree.org naming scheme when naming .md5 files!

Please remember to always .md5 check your Shorten files before burning!

  
Special thanks to bruce@gridpoint.com and the PCP community for compiling this special version of md5sum. Documentation and graphics by Mike Wren.


 

Code - breaking ( PHP programming ) Warming up

For some time I've developing stuff in PHP .. Like experimenting stuff Its a very interesting language
to experiment with .. As it is the same with Java, Python, PHP, C++ and Ruby&Rails ....


Today, I felt like talking about php .. One, think there is one important think to say to anyone willing to learn and programm in PHP, for you to run and develop php on your computer, its  necessary to have a server running on the machine that will be used to develop and write the php code ..


It might sound quite complicated but its very simple ...To setup a server on your own computer just download Xampp for Windows, LAMP for Linux, or MAMP for Mac OS (Apple).

After your download it and install it and run properly the server you will able to see you php files via-localhost on your browser. This post isn't about how to install your server and run the localhost .. But I can explain it on another post .. For now, lets just focus on PHP coding.

 The simple and first thing on any programming language is the

 "Hello World"

 "
<html>
<head>
<title> Test PHP </title>
</head>
<body>
<?php
echo " Hello World ! ";
?>"
</body>
</html>
"
That's it simple ....

O Browser will see somethink like this;