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  • 2021-10-07 21:54
    A couple of weeks ago, my grandma died. This was not wholly unexpected, and at the same time it was completely unexpected. I should probably explain that. She was ninety, which is a fair age for anyone, but her mother (my great-grandmother) lived to be even older. What's different is that nobody knew she was ninety, other than us. Most of her friends were in their mid-seventies. Now, you might be thinking, LOL , old, but this is like you in your mid-forties hanging out with someone who's 30, or you in your late twenties hanging out with someone who's 13, or you at eighteen hanging out with someone who's still learning what letters are. Gaps get narrower as we get older, but the thing that most surprised me was that all her friends were themselves surprised at the age she was. She can't have been that age, they said when we told them, and buried in there is a subtle compliment: she was like us, and we're so much younger, and when we're that much older we won't be like her. No. No, you won't be like my grandma. I don't want to talk much about the last few weeks. We, my mum and me, we flew to Ireland in the middle of the night, we sorted out her house and her garden and her affairs and her funeral and her friends and her family, ..
  • 2021-09-28 12:30
    The Portable Document Format (PDF) is a very popular way to share documents across multiple platforms. The goal of the PDF is to create a document that will look the same on multiple platforms and that will print the same (or very similar) on various printers. The format was originally developed by Adobe but has been made open-source. Python has multiple libraries that you can use to create new PDFs or export portions of pre-existing PDFs. There are currently no Python libraries available for editing a PDF in-place. Here are a few of the packages you can use: ReportLab used for creating PDFs pdfrw used for splitting, merging, watermarking and rotating a PDF PyPDF2 / PyPDF4 used for splitting, merging, watermarking and rotating a PDF PDFMiner used for extracting text from PDFs There are many other PDF packages for Python. In this article, you will learn how to create a PDF using ReportLab. The ReportLab package has been around since the year 2000. It has an open-source version as well as a paid commercial version which has some extra features in it. You will be learning about the open-source version here. In this article, you will learn about the following: Installing ReportLab Creating a Simple PDF with the ..
  • 2021-09-01 07:00
    Green and Gray Scissors 1280×853 222 KB We hope that everybody had a nice Summer and enjoyed their holidays. The Tryton team continued working on the ERP and we are back with a resume of the latest improvements. Changes for the User We added a frame around the image widget . This makes the widget cleaner when empty. More party identifiers and tax identifiers have been added for Austria, Ukraine and Vietnam. The rule keywords from statement lines are now stored in such way that they can be used for future matching. This adds a form of learning behavior to the statement rules engine. We added a new wizard to split accounting lines . This is useful to reschedule payable or receivable lines by applying a new maturity date to each new line. The wizard can also be used on dunning and invoice lines to reschedule them. It is now possible to set accounts for taxes of type “None” . This is useful for taxes that are entered manually on the invoice because the account will be filled in automatically. New Modules The Stock Package Shipping Sendcloud Module allows package labels to be generated for shipments made by any of Sendcloud's supported carriers. The Account Budget Module provides the ability to set budgets for accounts ..
  • 2021-08-11 10:01
    In our digital world, it is a quotidian task for a person to share a piece of data with his friends, co-workers, or the whole world. When it's not through social networks, a piece of data is... > Visit hongkiat.com for full content.
  • 2021-08-09 10:01
    Virtual working is pretty common these days. From office work to teaching and learning, a good number of people are working virtually. So in order to work seamlessly in a virtual environment, you... > Visit hongkiat.com for full content.
  • 2021-07-30 13:01
    Facebook and Twitter are the biggest social media networks being used by millions for information, entertainment, and socialization. Also for businesses and public figures, these two social networks... > Visit hongkiat.com for full content.
  • 2021-07-19 13:01
    Today's digital world has opened up new avenues of learning and entertainment for everyone. However, there are also certain risks associated with the digital medium especially for the young... > Visit hongkiat.com for full content.
  • 2021-07-12 12:30
    In this short series of guides, we'll be taking a look at a hands-on house price prediction . We'll be using Keras , the deep learning API built on top of TensorFlow to train a neural network to predict the prices of houses from the Ames Housing Dataset , based on the 79 features it provides for each house. We'll start out the project like all Machine Learning projects should start out with - with Exploratory Data Analysis , followed by Data Preprocessing and finally Building a Deep Learning Model to fit the data we've explored and cleaned previously. Deep Learning in Keras - Exploratory Data Analysis (EDA) Perform Exploratory Data Analysis (EDA) on the dataset to understand your data. We'll be posing hypotheses and exploring the correlations between features and our target variable - the "SalePrice" . Deep Learning in Keras - Data Preprocessing Preprocess data to make it ready for training models on. We'll be dealing with missing values, one-hot-encoding categorical variables, clean up data types, and split the data into a training and testing set, as well as perform feature scaling . Deep Learning in Keras - Building a Deep Learning Model Build a Deep Learning Neural Network with Python and Keras, train it ..
  • 2021-07-08 22:46
    This blog title should really be, “ Why you always, always, always want conflict detection turned on on all the networks MAAS touches ,” but that's really long as a title. But hear me out. As promised, here is another DHCP blog, this time explaining how you can have multiple DHCP servers on the same subnet, serving overlapping IP addresses. There are a lot of network-savvy folks who will tell you that serving the same set of IP addresses from two different DHCP servers just won't work. While that's a really good rule to follow, it isn't totally accurate under all conditions. Keeping it “loosely coupled” Some DHCP implementations offer a feature called server conflict detection . In short, DHCP SCD uses ICMP Echo messages (pings) with an appropriate wait time to see if an IP address is in use before trying to lease it to a client. If all the DHCP servers on a given subnet have SCD enabled, you don't have to worry about whether the DHCP server scopes overlap. You can assign whatever set of IP addresses you want to whichever DHCP server, and they will work together without addressing errors. So what's really surprising about this feature? Well, in RFC 2131, ping checks are recommended on both ends, by the DHCP server and the client: ..
  • 2021-06-22 13:00
    I get this question a lot : Where should I start to learn Python? While I do hold Intro to Python team trainings , Python Morsels is currently focused on continued Python learning , that is everything just beyond introductory Python (which I feel is an under-served space). I plan to create an online introductory course one day, but until then I recommend you learn the Python basics elsewhere before trying out Python Morsels. Fortunately, there a tons of great introductory Python resources you could use to get started with Python. For brand new programmers I often recommend: The book Think Python by Allen Downey which can you can purchase or read for free online The book Automate the Boring Stuff with Python by Al Sweigart which you can purchase or read for free online For experienced programmers I often recommend: The official Python tutorial , which can be sometimes both too verbose and not verbose enough but it's worthwhile to skim nonetheless Luciano Ramalho's Fluent Python (with companion resources ) which dives very deep at times, but if you're a fairly experience programmer you'll probably find this book quite engaging Lastly, I'd check out what others say online. Everyone learns differently and you ..
  • 2021-06-22 04:16
    In no particular order: I managed to survive scheduling and hosting a media event as a rookie politician. The article about the event came out okay. The third novella is finally up on Amazon. Through the use of \markdownInput tags via the markdown CTAN package I was able to make a shell in LaTeX using the novel class. Individual sections to the novella were written in separate files in markdown which the markdown package then transmuted into LaTeX code to make a novel. Why do this? In this way I could then concatenate the various individual pieces of markdown to make a file to import into Amazon's infernal Kindle Create software. I need to make this more smoothly automated for the next work to be released. The stories are now grouped under a series title. That has implications such as totally changing where I may go in writing. Groundwork for the fourth story is already being worked on. Only one big crash for whoopsie to catch so far while running Impish Indri on amd64 hardware. So far, so good. That happened primarily with tumblerd, it appears. I am still trying to figure out why cubicsdr refuses to open even though I do have the SDR dongle plugged into the machine. Outside trying to get some software-defined ..
  • 2021-06-12 11:53
    I'm trying to train a classifier with a neural network, but I've got too small datasets. Each class has about ~1k examples. What is the best approach?...
  • 2021-06-12 11:52
    I want to train a neural network model, which basically does binary classification. I can't understand why my network overfits too early. I thought my network is too big and it memorizes the dataset, but when I make it smaller, it does not learn at all. How avoid this situation? Dropout didn't work, augmentation techniques helped a bit, obviously, regularizations didn't change anything. Can you guys explain the reasons, and how I can avoid it?...
  • 2021-06-07 18:24
    Is there an implementation in self normalized networks in TensorFlow ? I saw that it's implemented in Keras called Selu  as an activation function but I can't find it is implemented in TensorFlow or not....
  • 2021-06-01 17:30
    I'm planning to buy new GPUs and can't figure out which model is good for deep learning. I'm planning to train neural networks on images also some recurrent networks for NLP. What suggestions are there?...
  • 2021-05-31 01:19
    So the boys (and their cousin) are both into Minecraft again, so I've been refining the Pycraft code quite a bit. We no longer use the RaspberryJuice plugin, but instead have a custom Bukkit plugin that does Java reflection/introspection to auto-generate the API. That lets us do a lot more, manipulate inventories, read and write large sets of blocks, and generally act like a first-class client of the Bukkit API. (Bukkit is a common core api shared between Bukkit, Spigot and Paper servers). The core idea is still the same, let coder parents setup a Dockerised container with plugins that let you connect Pocket Edition and Java Edition Minecraft to the same server, without needing any mucking about on the clients (e.g. you don't need to install a mod-pack on the client), and let you create "magic" by writing (Python) code. The chat interface means you can do things like: echo( (center=user.position+(0,i,0),material='obsidian') for i in range(8)]) right in the Minecraft chat and get an 8m high round tower, or you can write extensions in Python modules and load them into the namespace for use at runtime. Code is up on github if you'd like to play with it (or play with the backend extension ).
  • 2021-05-29 11:19
    I'm training a neural network that basically does binary classification, but it overfits too fast. After 4-5 epochs it's already in overfitting. What is the reason for it? How to avoid fast overfitting?...
  • 2021-05-28 08:35
    I'm trying to train a neural network that works for binary classification problem. What is the difference between having a single output with sigmoid and 2 outputs with softmax functions?...
  • 2021-05-27 17:02
    I'm training a small neural network using Tensorflow 1.10 . The training process goes well and I get expected results, but it works weirdly in the validation or in the testing process. I'm checking out my code multiple times, but can't find the reason. Why I'm getting different results in the training and validation process....
  • 2021-05-24 02:21
    Following the Ubuntu IRC Council resolution, Lubuntu will be moving all of the Lubuntu IRC channels to LiberaChat as well. Some of the channels have already moved at the time of this announcement and the others will follow shortly. We are also working on updating our links to reflect the change. Telegram to IRC bridge offline. As a result of …] The post Lubuntu IRC channels are moving networks! first appeared on Lubuntu .
  • 2021-05-11 11:11
    2021 marks the tenth year that PyCon has granted booth space to early-stage startups that use Python in new and interesting ways. And what a decade it has been! Startup Row has given over 100 companies a platform to share what they're working on with the Python community, and the past ten years of Startup Row shows off the technical diversity and depth of the Python ecosystem. Ranging from data science and visualization, to many flavors of back-end tooling, productivity and communication platforms, super-niche software applications, and even a couple of hardware ventures, the flexibility of the Python language and its uses are on full display on Startup Row. Startup Row at PyCon 2021 Without further ado, here's the Startup Row lineup at PyCon 2021 (in alphabetical order): Bit.io is a cloud database company which allows data teams and data enthusiasts to upload, query, and share data repositories internally or with the world. Dagster is a data orchestration tool for machine learning, analytics, and ETL workflows featuring a user-friendly interface and data provenance tracking. Dropbase is a data tooling and infrastructure company which gives its customers the ability to turn offline data files like CSVs or JSON blobs into a live online ..
  • 2021-04-25 15:30
    Six months ago I was elected to the Ubuntu Community Council. After the first month, I wrote a text about how I experienced the first month . Time flies and now six months have already passed. In the first few months we have been able to fill some of the councils and boards that needed to be refilled in the community. But even where this has not been possible, we have initiated new ways to ensure that we move forward on the issues. One example is the LoCo Council, which could not be filled again, but we found people who were given the task of rethinking this council and proposing new structures. This process of evaluating and rethinking this area will take some time. There are some issues that we have on the agenda at the moment. Some of these are general issues related to the community, but some affects individual members of the community or where there are problems. For some topics, we quickly realised that it makes sense to have contact persons at Canonical who can advance these topics. We were very pleased to find Monica Ayhens-Madon and Rhys Davies, two employees at Canonical, who support us in bringing topics into the organisation and also implement tasks. One consequence of this has been the reactivation of the Community ..
  • 2021-04-22 19:08
    Project Thoth provides Python programmers with information about support for packages they use, dependencies, performance, and security. Right now it focuses on pre-built binary packages hosted on the  Python Package Index (PyPI) and other Python indexes. Thoth gathers metrics such as the following: Solvers indicate whether a package can be installed on a particular runtime environment, such as Red Hat Enterprise Linux 8 running Python 3.6. Security indicators turn up vulnerabilities and provide security advice by optimizing a software stack to minimize our computed security vulnerability score. Project meta-information investigates project maintenance status and development process behavior that affects the overall project. Amun and Dependency Monkey look for code quality issues or performance problems across packages. Thoth's main role is to advise programmers about different software stacks based on requirements specified by the programmer. The component thoth-adviser then produces a locked software stack. This article shows the tools and workflows that let Thoth intelligently respond to programmer requests when it can't find the relevant packages or related information. How Thoth updates its knowledge of packages ..
  • 2021-04-19 17:46
    Is there any way to find the coordinates of a Mandelbrot image from the image? Even a guess as to the rough neighborhood? I recently saw this as someone's avatar: This is clearly the Mandelbrot fractal, but where is it? What coordinates and magnification? Without accompanying information, is it possible to find it? I'd like to explore that region, but how can I find it? This problem reminds me of Shazam , the seemingly magical app that listens to what's playing in your environment, and tells you what song it is. Is there any way? BTW, the way I solved this problem in my own long-neglected Mandelbrot explorer Aptus is to write data records into the PNG files it produces. For example, you can download the image from the Aptus page, and use imagemagick to see what data it contains: $ identify -verbose JamesGiantPeach_med.png Image:   Filename: JamesGiantPeach_med.png   Format: PNG (Portable Network Graphics)   ...   Properties:     Aptus State: {     "Aptus State": 1,     "angle": 0.0,     "center":  -1.8605327723759248, -1.270334865601334e-05],     "continuous": true,     "diam":  .788139343261719e-07, 1.788139343261719e-07],     "iter_limit": 999,     "mode": "mandelbrot",     "palette":           "spectrum", {"l":  , 150], "ncolors": 12}], ..
  • 2021-04-17 04:00
    Join us for the April monthly meeting for the Pythonistas of Montréal on Monday the 19th at 6pm. This month, we have for you: Machine learning in robotics by Nicholas Nadeau; Module of the month: random by Kouame Kofi; Overview of the PyCon 2021 programme by the chairman of the talk selection committee, Philippe Gagnon. All the details on Meetup page of the event .
  • 2021-04-12 18:24
    My Free Python Books list went viral on Hacker News, ending up on the home page within the first 2-3 entries for several hours. Free Python Books on the home page of Hacker News. Mike Andreuzza shared the project's link to Hacker News on April 10, 2021. Since then the post gathered 154 upvotes. The Free Python Books GitHub repository jumped to almost 700 stars and 80 forks (up from about 95 stars and 20 forks before), reached almost 15K views from over 8K visitors , and went trending on GitHub . This attention brought new contributions to the project as 3 authors submitted their books and another user reported a broken link. Two people even sent me donations (thanks for the coffee!). A plot of the views (green) and unique visitors (blue) of the Free Python Books GitHub repository when the project was featured on Hacker News. Although I had interacted online with Mike a number of times, his submission to Hacker News came out of the blue and was a complete, pleasant surprise for me. Free Python Books is a project I began when first approaching the language. Books are my preferred learning resources, so I started maintaining a list of the many good free works I run across. Curation is another learning tool and the list is also a reference ..
  • 2021-03-29 17:07
    Sometime last week, I had the opportunity to sit down with Andrey Vlasovskikh and discuss where PyCharm is now, and where it plans to go into the future; trying to understand how we got here along the way. We discussed everything from how Andrey got started with Python in the first place, and how he eventually joined PyCharm. We then moved onto to talking about how Andrey started his work at JetBrains, and how his use of IDEs in Java and C++ made him realize how rudimentary the code analysis tools for Python really well. The problem with PyCharm when it comes to building developer tools for it, is that it is a dynamic language, and because of that very nature, providing code completion options can be quite difficult. Seeing this as a problem that prevented PyCharm and other IDEs from creating better tooling, Andrey working on creating the typing standards in Python, along with many members in the Python language. Eventually, Python adopted an optional approach to typing in the language. Going forward, I asked Andrey about how we want to move forward with our tooling support, and one of the most significant things we want to do, is create better tooling for data scientists and machine learning engineers. Watch the ..
  • 2021-03-24 15:53
    That was a lot of content! And networking! The PyData track provided a nice example of a live coding session about Data Lakes and Streams from Justin Garrison , as well as a fascinating talk on Deploying ML solutions with low latency by Aditya Lohia , who covered some nice applications of video analysis. In the AppDev track there was a talk that provoked a lot of vigorous discussion – "Async, Python, and the Future" by Andrew Godwin . And it was very good for beginners – as one of the attendees commented: “Good explanation of async. Andrew Godwin (and my wife Audrey) are why I understand async coding as well as I do.” Please note that we have only covered the sessions we had time to watch. More precise reviews can be found at Paolo Melchiorre's Twitter account . There was a nice idea from an audience member about how to start learning coding: by writing Minecraft plugins. It'd be interesting to know how many people learned that way. Kudos to the organizers, who not only invited the speakers and arranged the talks, but also created a social experience during the evening that gave everyone a chance to visit sponsor booths, do a lightning talk, or just network. We prepared some complimentary materials on ..
  • 2021-03-18 19:46
    JupyterLab is a flexible and powerful tool for working with Jupyter notebooks. Its interactive user interface (UI) lets you use terminals, text editors, file browsers, and other components alongside your Jupyter notebook. JupyterLab 3.0 was released in January 2021. Project Thoth develops open source tools that enhance the day-to-day lives of developers and data scientists. Thoth uses machine-generated knowledge to boost your applications' performance, security, and quality through reinforcement learning with artificial intelligence . ( Watch this video to learn more about resolving dependencies with reinforcement learning.) This machine learning approach is implemented in Thoth adviser , a recommendation engine for Python applications. Thoth integrations use this knowledge to provide software stack recommendations based on user inputs . This article introduces you to jupyterlab-requirements , a JupyterLab extension for managing and optimizing Python dependencies in your Jupyter notebooks. As you will learn, using the jupyterlab-requirements extension is a smart and easy way to ensure that your code and experiments are always reproducible. Making application dependencies reproducible When creating code or conducting experiments, ..
  • 2021-03-16 13:11
    Creating new WordPress themes from scratch can be a time-consuming and demanding task that requires in-depth coding knowledge and constant learning to keep up with the updates of the WordPress Core.... > Visit hongkiat.com for full content.
  • 2021-03-04 12:18
    The year is 1989. I bought a computer game called F-16: Combat Pilot, a flight simulator featuring free-flight, five types of single-player missions, a full campaign mode, serial-port multiplayer, and then some. Gloriously wrapped in four colors and magnetized on two single-density 5.25-inch floppy disks. Total size: 680 KB. Nowadays, it is not uncommon for individual applications to weigh dozens if not hundreds of megabytes. But it doesn't have to be that way. In Linux, you can save some space by using libraries that are shared across multiple applications (hence their name, shared libraries). When it comes to self-contained application formats like snaps, the tables are turned once again, as snaps bundle all the necessary dependencies inside, and thus take more disk space. If you want to make your snapped applications as small and lean as possible, we have a few neat suggestions. Content snaps & extensions Snaps can bundle all the necessary dependencies for an application to run – but they don't need to. In fact, if you have several applications that use the same libraries, you can create a content snap, and then make it declare it for use in the snapcraft.yaml file using the content interface . This way, you can minimise ..