The New York Rangers kick off their five-game road trip at Climate Pledge Arena where they will try to slow down the Seattle Kraken.

Game 5 of 82: Can The Rangers Dictate The Pace?

Pet experts have launched a series of free online dog parenting lessons run by experts including TikTok star Ben the Vet. The classes – intended to help puppy paw-rents flourish in their new ...

Free pet parenting lessons with celeb expert as owners 'unprepared'

Burns and Admiral have teamed up with Ben the Vet and the legendary Lioness and dog owner Bethany England to offer a series of free Puppy Parenting classes for new and expectant dog parents.

StreamYard

streamyard

It was an afternoon in September, & I was having a discussion with . While talking, he gave me a new task, . This is a screenshot of what we wrote in a document. In the next 6 months, I had to first attend a conference, & then give one external tech talk. Hari Talking Being my first time doing one, the prospect of presenting a Tech Talk was both exciting and scary. Now that I had to give a talk, the most important thing was to find a conference. Since I had been working on Ruby on Rails, the idea was to find a Ruby-related conference and submit the CFP there. In November, I came across the . I intended to attend this summit, observe the speakers' presentations, and then submit a CFP for any upcoming Ruby conferences I could find. The CFPs were still open though. Ruby on Rails Global Summit by Geekle I told my idea to Hari, and he convinced me that since the CFPs are open, I should submit one, & if I don't get selected, I can always come back to attend the summit. This way, my plan of attending the summit was now changed to speaking at the summit. Submitting the CFP Since the CFPs had been open for some time, many of the topics I was thinking to speak on were already taken. I finally decided to speak on Rubocop, since I had been working on it for some time. The plan was to show a live demo on modifying cops & showing the before & after results. After various iterations on the abstract & title, I finally submitted my first ever CFP - . Enhancing Code Quality with Rubocop During mid-December, from the team reached out, & yes the CFP was accepted; I was now giving my very first Tech Talk. Liliya Geekle Preparing for the Talk Since the talk was in January, I was pretty chilled out when I received the acceptance. I had already written a on Rubocop, so I felt that I could manage the talk. blog When I got another email with information on the platform we would be utilizing and promotional banners for my talk, that's when I started to freak out as I realized the scale of the conference. To make sure everything was set up, I was requested to schedule a test call with the technical team. During the technical call, they walked me through the Streamyard platform, how screen sharing works, and all other minor details. When the call was over, that's when I first felt tense. I started overthinking even simple things like screen sharing because I was so new to the platform. What if I share the wrong screen or my internet goes out? Furthermore, I had to code live in front of my audience. What happens if my code malfunctions? I began to wonder if I ought to have recorded the presentation beforehand and submitted it. But it was time to push past your comfort level. To avoid any problems that might arise during the discussion, the idea was to prepare the slides and run through the full flow as many times as I could. Also, to get an idea of how people usually do it, I went to YouTube & watched various talks given by developers I had heard of. Practicing the Talk Once I had the talk ready, I practiced them & that is when I realized I needed to restructure the slides. Since I had a combination of theory & code, I had to make sure there was proper spacing between the two, so that the content was easy to consume. I reordered and practiced again. I realized the speed at which I was talking was too fast & need to slow down. I showed Hari a demo of my talk two days before the event, and he offered me revisions as feedback. This was quite helpful. The most significant piece of advice I received was to interact with the audience & make the talk more engaging. I began to consider ways to include audience participation in the presentation. The options for participation were restricted because it was an online conference, and nobody's video would be turned on. As a result, I incorporated surveys in the form of QR codes and invited the audience to participate in the coding. Once I had the final slides, I did a final demo talk with & again with Hari. Giving demo's helped in boosting my confidence. Ishan On the day of the talk, I played around with the commands & the code two or three times to make sure that everything was running as expected. Going Live All the nervousness vanished as soon as I began to speak because I became absorbed. During the talk, I wasn't able to see whether people were answering my questions or the poll but when I completed the talk & checked, I was happy to see that the audience engaged with me & answered the polls. Some people even reached out on LinkedIn with positive comments. Overall, it was a fantastic experience, & I am glad I went live instead of pre-recording. PS: You can find my talk below :) https://youtu.be/H7ggpT_ZFIQ?embedable=true Also published here.

My First Tech Talk: How I Prepared and How I Got Through It

আমার প্রথম টেক টক: আমি কীভাবে প্রস্তুত হয়েছি এবং কীভাবে আমি এটির মাধ্যমে পেয়েছি৷

Mein erster Tech-Talk: Wie ich mich vorbereitet habe und wie ich ihn überstanden habe

Mi primera charla técnica: cómo me preparé y cómo lo superé

Ma première conférence technique : comment je me suis préparé et comment je m'en suis sorti

माई फर्स्ट टेक टॉक: हाउ आई प्रिपेयर्ड एंड हाउ आई गॉट थ्रू इट

初めての Tech Talk: どのように準備し、どのように乗り越えたか

나의 첫 번째 테크 토크: 어떻게 준비하고 통과했는지

Minha primeira palestra sobre tecnologia: como me preparei e como superei

İlk Teknoloji Konuşmam: Nasıl Hazırlandım ve Bunu Nasıl Atlattım

Buổi nói chuyện công nghệ đầu tiên của tôi: Tôi đã chuẩn bị như thế nào và tôi đã vượt qua nó như thế nào

我的第一次技术讲座：我是如何准备的以及我是如何度过的

The digital media landscape is displaying immense promise for brand awareness, growth, and overall profitability for companies of all sizes. By knowing the key trends and optimizing content, leaders from a multitude of industries can leverage and optimize their content to maximize their full potential. On today’s episode of Startups On Demand, I am joined by , Managing Partner, Head of Marketing and Creative at , and host of the podcast Jordan Kastrinsky JB Upscale High Tech on the Low. Today, Jordan talks about the ins and outs of starting a podcast channel, the key to reaching out for interviews, the most promising marketing trends of 2023, and the art of optimizing video content. Omri: Tell me something about yourself and the background of JB Upscale. Jordan: Yes, for sure. My name is Jordan, 28, living in Tel Aviv, originally from Denver, Colorado. I’ve been living in Israel now for 6 ½ years. JB Upscale is what I like to call a digital media company. We specialize in design, branding, and marketing, generally for startups and high-tech ventures. It’s really fun because we work with people from the earliest stage of building the company, and also medium-sized, and even bigger companies. Hightech on the Low is a podcast by accident. My co-producer and I started it when Corona hit and we were running a bunch of high-tech communities in Israel called “Front-Team Communities.” It had about 3,000 members in it, and all our programming went array. With Corona, you can’t do meetups and Zoom got old real fast, so basically we thought “how do we still get value from this community and not let it die?” So we started the podcast. It was generally in the communities, talking to people who were there, and they all suggested at one point “maybe you take this and make it bigger.” Now, it’s about a year of making it a little bigger, and it certainly did become bigger – we have more followers so it’s really exciting. Omri: What is the actual process of starting your podcast? What was that like for you? Jordan: It was an organic process. When we started, I was using my terrible headphones in my studio apartment over Streamyard. It was a mess. But that’s how I started, and that’s okay, and I wanted to get the content out and get moving. And slowly but surely, I think it was 20 episodes in, I connected with a good friend of mine who runs a production studio and we began making it as a studio-based podcast with an environment and ambiance with better recording quality. And that also coincided when we took it out of the communities, and it helped a ton to build up. And we started getting more notoriety, which also changes the game in your head where you also start curating your content a little bit differently. https://youtu.be/GerT7MKBDSQ?embedable=true Omri: What is your podcast structure like? Jordan: I work with Black Box studios and they do excellent video and audio productions. Basically what we do is I have the podcast studio setup, and it’s two chairs, and we do it on a partner basis with their goal of trying to help me grow my podcast. And it’s also beneficial for them by building another business mechanism for them. Omri: What’s your process like in reaching out for interviews? Jordan: At the start, I got so overwhelmed because you’re trying to set schedules, you’re trying to find relevant people, you’re trying to talk to the person, and it’s a little bit of a mess. But how I do it is I find someone I like and start an intro call and see if they’re really relevant to me, because sometimes some people aren’t really cut out for the show or their business is not really what I’m focused on. And from there, it’s an easy setup process. And I think having that intro call is really key because you learn about that person and find out if they have a connection with you so you can actually have a good conversation with them. Omri: What are your two cents on handling high-profile clients and dealing with their egos? Jordan: Honestly, I think it’s such a wasted opportunity, and they’re just holding time, and the podcast market isn’t getting any less saturated. At the end of the day, you got to execute. On the ego side, I’m also wondering if the client just doesn’t want to be vulnerable. Ultimately, they just need to be okay to be out there and roll with the punches. Also published here

Podcast Optimization and The Art of Networking: An Interview With Jordan Kastrinsky

When B2B companies are looking to innovate and create better marketing strategies, they often check out what is going on in the B2C landscape. Well, the B2C landscape is heavily affected by eCommerce and online shopping which has been gaining more and more traction since the pandemic. Several examples include Amazon's UK jump in sales, as well as Irish spending up by more than in 2021. It is widely conceived that these numbers will continue to grow as Gen Z consumers find shopping online a natural and easy process. If you think about the consumer acquisition flow, it can be something like this: 20% 40% Influencer promotion 🡆 Website visit 🡆 product review 🡆 customization 🡆 purchase Several other user flows can look like this: Google Search 🡆 Website visit 🡆 Product review 🡆 customization 🡆 purchase FB/IG Ad 🡆 Website visit 🡆 Product review 🡆 customization 🡆 purchase What are the trends in this area or products in this area that you are the fondest of? Why? Trend Number 1: Customization As you look at the user flows, it is very apparent that customers want a more personalized shopping experience, not to mention they want the thing they buy to fit in perfectly with what they already have. In essence, they are builders; they are building something. It can be a living room, a wardrobe, or a makeup collection; the point is that they are on a mission to buy something that makes sense to them. That is why customization is one of the biggest trends in online shopping; for example, we can see how a startup that has built virtual AI shopping assistance solutions, has been able to integrate with leading brands and help them provide more customized experiences for their customers, which has been driving more revenue. renovai, Online shopping is so attached to ROI, as it should that we also see B2B startups like renovai provide ROI calculators on their sites. When you ask Gen Z why a platform like Tik Tok has become so dominant, a lot of them will tell you that it is because Tik Tok lets them be themselves. Again, personalization. Even if they dance to the same viral song, they want to do it their way. Trend Number 2: Direct Live Stream Shopping Remember when the only way brands could do live shopping was via television shows? Well, now, instead of paying referral fees and paying for studio time, there are great Livestream solutions like , , and several more that help shops and brands broadcast live shopping events at ease. evmux Streamyard That is also why platforms like Tik Tok and Amazon have integrated live shopping solutions because they know how effective they are and how their user base will continue to expand because of it. Maybe this leads to a centralized/decentralized debate; do we want certain tech giants to control the delivery of shopping services? Well, if you use a SaaS product like evmux, then you don't have to worry about that, but even if you do base your sales strategy onTik Tok or Amazon live shopping features, you are still getting a bigger piece of the cake then how it was before. Trend Number 3: Rewards-Based On Check-Ins This trend might be a bit more manipulative; there are several brands that reward customers if they log in every day to their website account. This makes sure to expose customers to new products, as well as form a dopamine kind of activity, and by this hooking customers to the brands. I think there must be better ways to reward customers without making them check in compulsively to their accounts. This trend might seem, at first, very beneficial as there are more website visitors, but if the visitors are doing it only for the rewards, they will associate the brand with a kind of chore, when what brands need is to be associated with value, happiness, and an enjoying experience. What are the positive impacts they can have on society? A more sustainable shopping experience that is tailored to a specific person. The more tailored it is, the growing chance of the product to be used efficiently by the consumer without it going to waste. What are predictions on how these technologies will evolve? Shopping tech will continue to be at the forefront of tech innovation, simply because of the fact that B2C products have a chance to scale like wildfire. What are predictions on the ethics of future societies in relation to these technologies? As Google is removing its third-party cookies, we can understand how privacy control is being adopted by big tech. From an ethical standpoint, this will drive brands to carefully developed technologies that are able to capture insights from consumers without having to “spy” on them with third-party cookies.

3 eCommerce Tech Trends to Keep an Eye On

Why does Live Streaming excite you? The pandemic created a need to feel more connected through the digital world. Being able to listen and communicate directly has become more essential. If once it was only online influencers and creators who utilized live streaming, now every business needs to build that online presence effectively.  Recent advancements in live streaming software have made it easier for entrepreneurs and small business owners to produce live content more consistently. Livestreaming is no longer reserved exclusively for major events or TV production studios. What are the trends in this area or products in this area that you are the fondest of? Why? There are many new live streaming software nowadays. Some of them are expensive, while others are free. Some live streaming software work better for some industries than others. But here are some of the most advanced live streaming options for creators. Evmux: was initially established in 2011 as to deliver beautiful, profitable in-person events anywhere in the world. evmux Xtag Then following the Covid pandemic, Xtag pivoted, and in 2021, was born and unleashed its easy-to-use Live Editors platform that enables creators of any kind to edit every aspect of their show, podcast, webinar, or virtual event before the stream seamlessly or even while it's live! evmux allows creators (from a one-person show to a full production team) to record and download their fully branded content and split each participant's audio/video downloads for seamless post-production editing. evmux So far, evmux has worked with large clients, including Facebook, Amazon, Google, Salesforce, and more. StreamYard: “StreamYard is a live streaming studio in your browser. Interview guests, share your screen, and much more. Stream directly to Facebook, YouTube, LinkedIn, and other platforms. StreamYard makes it easy to broadcast your live show to all audiences on multiple platforms at once. Interview guests, sync comments, and brand every broadcast.” - Via: https://streamyard.com/ OBS: Via : “OBS Studio is a free and open-source app for screencasting and live Streaming. Written in C/C++ and built with Qt, OBS Studio provides real-time capture, scene composition, recording, encoding, and broadcasting via the Real-Time Messaging Protocol (RTMP). Wikipedia It can stream videos to any RTMP-supporting destination, including YouTube, Twitch, Instagram and Facebook. For video encoding, OBS Studio can use the x264 transcoder, Intel Quick Sync Video, Nvidia NVENC and the AMD Video Coding Engine to encode video streams into the H.264/MPEG-4 AVC or H.265/HEVC formats. It can encode multiple tracks of audio in the AAC format. More experienced users can choose any codecs and containers available in libavcodec and libavformat, or output the stream to a custom FFmpeg URL.” OBS Studio also supports plug-ins to extend its functionality. What are the positive impacts they can have on society? It seems as the natural evolution of the podcast format is to make it more engaging to the audience. Live recordings are much more interactive for the viewers and listeners who feel like they are part of the conversation and not just by listeners. We see this type of mindset on social platforms like Tik Tok where consumption is balanced with creation or platforms like Twitter spaces that resemble an interactive show and tell meeting. What are your predictions on how these technologies will evolve? More and more brands are going to adopt live streaming as an essential part of their marketing activities. Maybe even have someone in-house dedicated especially to this activity.

My Thoughts on the Evolution of Live Streaming 

gRPC-Secret: Mastering Deadlines, Timeouts, and Custom Contexts

gRPC-সিক্রেট: সময়সীমা, সময়সীমা, এবং কাস্টম প্রসঙ্গ আয়ত্ত করা

gRPC-Geheimnis: Deadlines, Timeouts und benutzerdefinierte Kontexte meistern

gRPC-Secret: Dominar los plazos, los tiempos de espera y los contextos personalizados

gRPC-Secret : maîtriser les délais, les délais d'attente et les contextes personnalisés

gRPC-सीक्रेट: डेडलाइन, टाइमआउट और कस्टम संदर्भों पर महारत हासिल करना

gRPC-Secret: 期限、タイムアウト、カスタムコンテキストをマスターする

gRPC 비밀: 기한, 시간 초과, 사용자 정의 컨텍스트 마스터하기

gRPC-Secret: dominando prazos, tempos limite e contextos personalizados

gRPC-Secret: освоение сроков, тайм-аутов и пользовательских контекстов

gRPC-Secret: Son Teslim Tarihleri, Zaman Aşımları ve Özel Bağlamlarda Uzmanlaşma

gRPC-Secret: Nắm vững thời hạn, thời gian chờ và bối cảnh tùy chỉnh

gRPC 秘密：掌握截止期限、超时和自定义上下文

Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer

When to Use the Logger Class? : Detailed and customizable logs simplify identifying and rectifying issues in complex applications. Debugging and Troubleshooting : Logging is essential for monitoring behavior, identifying performance bottlenecks, and analyzing usage patterns in production environments. Monitoring and Analysis : Comprehensive logging is vital for auditing and security analysis in applications handling sensitive information or needing to adhere to specific compliance requirements. Security and Compliance How to Use the Logger Class? Save the following code in a file named , and then open another file in the same root directory and use to import the package. Logger.py Python main.py from Logger import Logger Logger.py import logging
from logging import handlers

class Logger(object):
    level_relations = {
        'debug': logging.DEBUG,
        'info': logging.INFO,
        'warning': logging.WARNING,
        'error': logging.ERROR,
        'crit': logging.CRITICAL
    }  # relationship mapping

    def __init__(self, filename, level='info', when='D', backCount=3,
                 fmt='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s'):
        self.logger = logging.getLogger(filename)
        format_str = logging.Formatter(fmt)  # Setting the log format
        self.logger.setLevel(self.level_relations.get(level))  # Setting the log level
        console_handler = logging.StreamHandler()  # on-screen output
        console_handler .setFormatter(format_str)  # Setting the format
        th = handlers.TimedRotatingFileHandler(filename=filename, when=when, backupCount=backCount,encoding='utf-8')  # automatically generates the file at specified intervals
        th.setFormatter(format_str)  # Setting the format
        self.logger.addHandler(sh)  # Add the object to the logger
        self.logger.addHandler(th) This code defines a custom Logger class that can be used to create and configure loggers in Python. The class is initialized with several parameters: Logger : The name of the log file where the logs will be saved. filename : The logging level, which determines the severity of the messages to be logged (e.g., 'debug', 'info', 'warning', 'error', 'crit'). level : The interval at which the log files should be rotated (e.g., 'S' for seconds, 'M' for minutes, 'H' for hours, 'D' for days, 'W' for weeks). when : The number of backup log files to retain. backCount : The format of the log messages, which includes the time, file path, line number, log level, and the log message itself. fmt Inside the method, the logger is configured as follows: __init__ The logging level is set based on the provided . level A format string is created for formatting the log messages. A console handler is created for logging messages to the console. A rotating file handler is created for logging messages to the specified log file. Finally, the logger is set up to use both the console handler and the rotating file handler for logging messages. main.py from Logger import Logger

log = Logger('log\\all.log', level='debug')
log_error = Logger('log\\all.log', level='debug')

log.logger.info("This is an info message)")
log_error.info("This is an error message") This Python code shows how to use the Logger package to write log information to a file. It first initializes two Logger objects, one for general logging and one for error logging. It then uses these objects to write log messages at different levels, such as info and error. The log messages are written to the specified log file, allowing for easy monitoring and troubleshooting of the application. Customizing Parameters The Logger class provides several parameters that can be customized based on the specific logging needs. These parameters include: : The name of the log file where the logs will be written. filename : The log level, which determines the severity of the logs (e.g., debug, info, warning, error, crit). level : The frequency at which the log files should be rotated (e.g., 'D' for daily, 'H' for hourly). when : The number of backup log files to retain after rotation. backCount : The format of the log messages, allowing customization of the timestamp, log level, file name, line number, and message content. fmt By adjusting these parameters, the Logger class can be tailored to meet the specific logging requirements of different projects and applications. Example 1: Customizing Log Level and Format log = Logger('custom.log', level='warning', fmt='%(asctime)s - %(levelname)s - %(message)s')
log.logger.debug("This is a debug message - won't be logged")
log.logger.warning("This is a warning message - will be logged") Example 2: Specifying Log Rotation Parameters log = Logger('rotation.log', when='midnight', backCount=7)
log.logger.info("Logging with rotation based on time") Conclusion Logging is crucial in software development for monitoring, troubleshooting, analyzing, and securing applications. Python's logging class offers a convenient and customizable way to implement logging with various configuration options. This class enables developers to tailor logging setups to meet project needs, ensuring comprehensive and efficient logging for debugging, monitoring, and compliance purposes. The Logger class empowers developers to harness the power of logging for robust application development and maintenance. Happy logging! Thank you for taking the time to explore data-related insights with me. I appreciate your engagement. If you find this information helpful, I invite you to follow me or connect with me on . Happy exploring!👋 LinkedIn Also published . here

Python Logging: Debugging, Monitoring, and Security with the Logger Class

Using Redis Streams with NestJS: Part 3 - Consumer groups

Using Redis Streams with NestJS: Part 2 - Reading from Stream

Debugging is one of the most crucial parts of software development. No matter where the unexpected result comes from, it is impossible to escape that step. As the complexity of our systems keeps increasing every day, more advanced methods of debugging are coming out to meet the demand. Most of the time, the debug should execute within a running status while online. In this article, I will cover most debugging methods, basic and modern ones. Apart from that, I will also introduce some hands-on tools and show some basic configurations and instructions. Hopefully, developers can get some hits when doing developments. Basic Methods of Debugging Logging Applying log-in programs is always compulsory. It helps record where an error roughly lies and logs the necessary info about what is happening in the running program. There are many basic and advanced for it. Here, I would like to describe some basic ones. use cases Import and Set the Level import logging
from pathlib import PurePosixPath

logger = logging.getLogger(__name__)
logger.setLevel(level=logging.INFO) Different levels will print out different logging information. The tricky setting is about the level of the log. After you set the , the module will print out all levels of logs that have higher-level values. The good practice is to set separate loggers for different programs and also put them in one general setting file like .yaml other than in the code itself. logging level Log in file formatter = logging.Formatter('%(message)s')
# log into file
log_file = PurePosixPath(log_dir)/(datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S.log'))
handler = logging.FileHandler(log_file)
handler.setLevel(logging.INFO)
handler.setFormatter(formatter)
logger.addHandler(handler) Log in terminal If you want to see the log with a timestamp in your terminal console, the following code is the right way to do so: # log into terminal
console = logging.StreamHandler()
console.setFormatter(formatter)
console.setLevel(logging.INFO)
logger.addHandler(console)
logger.info(datetime.datetime.now().strftime('%Y-%m-%d: %H %M %S')) Breakpoint Breakpoints are widely used when you want to analyze a function. Normally, you need to set at least two points. After running the program, the execution will stop at the first point. Then you need to step into the function to see the output for every step. During the process, the variables and their values will show, and you can monitor the behavior to see how the function works. Print Out This method is tricky. Most of the time, it is applied when you can not figure out where the error or problem comes from in a similar black-box program. You can print out a sequence of numbers or other strings to notice the rough location where the error appears. Top Modern Methods of Debugging Remote Debugging In general, debugging is a concept used more in offline cases. But for modern debugging, offline manipulations no longer satisfy the demand in running status because it is not possible to shut down the services to debug. has become the best choice in this situation. The main difference between remote debug and debug is about the extra configuration. However, the bottom principles are totally the same. It saves a significant amount of headache and time, it is suitable when there are microservices, and it is suitable for distributed systems or services. Remote debugging Here, I am going to give a relatively detailed introduction to this method, and I will show you some basic configurations in popular tools like Pycharm. The main components for remote debugging are: remote server/machine remote access tunnel program to debug local machine The compulsory requirement in remote debugging is to build a connection with the remote server. Visual Studio introduces at least four remote methods in their for remote development. tutorial The most convenient and secure way is the . It is about the sharing of public-private keys. After building the ssh connection, the rest of the debug methods are what I have mentioned earlier in the section on basic methods. ssh tunnel Reverse (Replay) Debug Have you ever thought about tracing back through your finished debugging instead of starting debugging from scratch? Here is where reverse debug or replay debug, or time travel debug comes. Reverse debug points at the tracing-back ability in the history of your debug. The developer always crashes at some point when debugging. In most cases, they are not able to find what the values are in the last debug step, and they have to start the process again to figure that out. PyTrace – Time Travel Debugger is an easy-to-use debugging tool. To use it, you need to install the pycrunch-trace library and add the decorator @trace in front of a function like this: PyTrace from pycrunch_trace.client.api import trace

@trace
def function():
    your_code() After you run your code, the records will be saved in your working directory. Open the HTML file through the web app. You can save an example like this. You can use the button at the top to trace back and forward through the debug. Conclusion From all the examples and methods given above, we can see that modern debugging methods are much more efficient than basic ones in more complex system scenarios. If it were just a single function, the basic methods would be more convenient to use. You should always consider the most hands-on methods to debug your program. There is no best solution for all cases, but there should be at least one best solution for one situation. Thanks for reading. I hope you enjoyed it. Cover Image Source

Top Debugging Methods for Quicker Deployment in Python

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