Clean Go
Hey guys, I recently dove into 'Clean Code' by Robert C. Martin and found some valuable insights. The book is originally in Java, but I decided to reinterpret the principles in Go. Here's my take on the clean code concepts and how they can improve our coding practices.
1. Clean Code
The gist: Clean code is more than just working code; it's code that other developers can easily read, understand, and modify.
Trading robots are conquering the Wall Street! Learn how to create your first automated python trading bot.
We present a fully functioning trading bot pipeline on python using the Binance API. Starting with the general introduction, we provided a comprehensive overview of main API calls and their implementation on python. After this we show a fully functioning python code presenting a basic trading bot with core features using static channel breakout strategy.
Experience turbocharged API testing using Postman's AI-driven assistant. In this article, you will learn how to deploy a project using docker-compose, perform requests, and create tests utilizing artificial intelligence.
The team developing a set of portable SystemVerilog examples decided to organize the first event in Silicon Valley on Sunday, January 14 from 2PM till 5PM at Hacker Dojo in Mountain View, CA. If the first event is successful we are going to make it recurrent. You can register for the event on Meetup or LinkedIn.
The current directions of the group:
In this third part, we will discuss Machine Learning, specifically the prediction task in the context of information theory.
The concept of Mutual Information (MI) is related to the prediction task. In fact, the prediction task can be viewed as the problem of extracting information about the signal from the factors. Some part of the information about the signal is contained in the factors. If you write a function that calculates a value close to the signal based on the factors, then this will demonstrate that you have been able to extract MI between the signal and the factors.
Introduction to ADRs
ADRs are critical for documenting architectural decisions in software projects. They provide a historical record of decisions, rationales, and impacts, vital for future teams and stakeholders.
Defining ADRs
An ADR is a document capturing key architectural decisions along with their context and consequences. It helps stakeholders understand why certain choices were made during a project, promoting transparency and clarity.
This article was originally posted at Product Identity.
What comes to your mind when you hear the word Telegram?
I wouldn’t be surprised if drugs, sex, or crypto are your first associations. Throughout the years, Telegram earned a shady reputation, perhaps not strategically, but for a “good” reason.
I feel like Telegram is a mystery. On the outside, it might be perceived as a platform designed for drug traffickers, crypto scammers, and sexual abusers.
I shared this feeling when I joined the early team of Bancor in 2016, as I also joined its internal group chat, needless to say, on Telegram.
However, the app was quickly removed from my list of stigmas. Instead, I started to appreciate Telegram for its well-crafted product and care for design. From its meticulous attention to small details to have a unique brand — it stands as a dogma of an opinionated product (and a company) in many aspects. In addition, it helped me recognize the benefits of separating my private and professional lives early on.
After using Telegram extensively over the past 7+ years, I feel the urge to write about it, but this time not in the spirit of its typical news headlines.
In this article, I will cover the memory consumption of .NET applications on Linux. Firstly, we will try to understand the idea of virtual memory. Then, we will examine the memory statistics that Linux provides, such as RSS (Resident Set Size), VmData, RES (Resident Memory Size), and SWAP. Following that, we will delve into specifics related to the .NET.
In the DevOps realm, where automation is crucial, the management of resources and updating processes in the cloud is vitally important. Many modern projects, particularly in AWS cloud environments, leverage Auto Scaling Groups (ASG). This mechanism aims to achieve three key objectives: balancing loads, increasing service reliability, and optimizing operational costs for efficiency and effectiveness.
Imagine working at a company where you deploy applications on Amazon's resources. To streamline this process and manage configurations more effectively, you use pre-built AMI images. These are crafted with tools like HashiCorp Packer, ensuring your applications launch swiftly and reliably. For the actual infrastructure deployment, you turn to Terraform. It's widely recognized as the standard in many major companies for managing cloud resources and using the IaC (Infrastructure as Code) approach.
As an IT engineer, you sometimes need to update instance versions to a newer AMI image, either for the latest security patches or to introduce new functionalities. The challenge lies in updating an active ASG without causing downtime. It's crucial to ensure the new AMI performs as reliably as the existing one, balancing the need for updates with system stability and uptime.
ASG's instance refresh is a crucial feature that allows for updating instances within a group while minimizing downtime, thereby maintaining high availability. However, ensuring the success of such updates, especially in large, complex systems, can be a challenge. Terraform resources, such as aws_autoscaling_group, can initiate this process but don't provide progress tracking. This limitation becomes apparent when other infrastructure components, such as certificate renewals or DNS updates, depend on the state and version of the instances. Monitoring the update process is essential to maintain an accurate infrastructure state after Terraform's execution.
To overcome this challenge, Ansible can be utilized...
Need to start your career or hobby in digital design and verification of silicon chips or reconfigurable hardware? Explore multiple FPGA toolchains and open-source ASIC tools? Design your own RISC-V CPU or ML accelerator? Prepare for an interview in SystemVerilog? Come to our first Silicon Valley meetup on portable SystemVerilog examples for ASIC and FPGA.
Trace Compass with GZip
Trace Compass is an open-source application performance analysis framework. It is designed to visualize and analyze traces, which are recordings of events that occur in a software system during its execution. Trace Compass is particularly useful for understanding the behavior, performance, and interactions within complex software systems.
Key features of Trace Compass include:
Trace Visualization: It provides a graphical representation of traces, allowing users to visualize the sequence and timing of events in a system.
Analysis Tools: Trace Compass offers various analysis tools and modules for different types of traces, helping users identify performance bottlenecks, errors, and other issues.
Support for Multiple Trace Formats: It supports a wide range of trace formats from different sources, making it versatile for analyzing traces generated by various software components.
Customizable Views: Users can customize the views and analyses based on their specific needs, allowing for a more tailored and effective analysis process.
Integration with Eclipse: Trace Compass is often integrated with the Eclipse IDE, providing developers with a seamless environment for analyzing and debugging their applications.
Overall, Trace Compass is a valuable tool for developers, system administrators, and performance analysts to gain insights into the runtime behavior of software systems and optimize their performance.
Network programming in C++ can be challenging. But even a greater challenge is to find educational content that will arm you with the knowledge on how to apply your networking skills in real applications.
In this article you can learn the basics of socket communication and many ways how you can design your internal messaging protocols.
Hey everyone! Today, I'll guide you through creating a boundless cloud storage solution on Telegram using TeleDrive. This open-source project is a game-changer, offering functionalities like Google Drive/OneDrive via the Telegram API.
The traditional definition for the operation of exponentiation to a natural power (or a positive integer) had introduced approximately as follows:
Exponentiation is an arithmetic operation originally defined as the result of multiple multiplications a number by itself.
But the more precise formulation is still different:
Raising a number X to an integer power N is an arithmetic operation defined as the result of multiple [N by mod times] multiplications or divisions one by number X.
In the realm of frontend development, the quest for enhancing user interaction remains a constant pursuit. Developers, inspired by innovation, often seek solutions to refine components for a seamless user experience. Today, we delve into the construction of an advanced dropdown component using Svelte — a framework known for its simplicity and effectiveness.
UX writing is an essential part of UX design, which plays a huge role in providing qualitative user experience. The job of a UX writer is to compose texts for a digital product, which can be of two types: microcopy (labels, buttons, notifications and other small notes) and macrocopy (larger texts like written content on pages, instructions, information sheets). UX writing helps users easily navigate through the product, perform various tasks and get all the necessary information.
This is one of the most important articles I’ve written.
In this article, I’m going to dive deep into one of the largest differences between Russia and America pertaining to sales and marketing.
1. You must use your name.
2. You must have a personal approach.
3. You must show that you are involved.
4. You must show that you care about the needs and desires of the client.
Recently, I was faced with an interesting problem. I was asked to call clients without making it personal.
So let’s go back to when I was in America, living and working as a sales person. The company I work for, was very large, and had multiple branches around the Washington DC area. They had offices in three states.
They put me through a sales training course.
The biggest “take away” from the course…..
You’re not selling the product/
you’re selling yourself.
It's important to use your charisma and your genuine caring for the customer to win them over. Once they understand that you're actually trying to help them, then they will seriously consider the item you are telling them about.
I also want to say, very clearly, that it's not a prideful approach. It should be a professional approach. You're responsible to tell the customer/ the client all the benefits of the item and how this item will help their business.
Everything above pertains to sales in America. So if you are approaching America as a sales manager this is how you should craft your approach.
Now I've spoken to my colleague,
Kristina Pashnina and we have agreed upon some stark differences to the Russian sales climate. Here she will begin to tell you how the Russians see sales.
Vue + modal window is it that simple?
In this article I will go through the most popular points that use modal windows. I’ll also tell you how to do this elegantly and highly functional. Opening multiple windows, returning a value, and integrating with vue-router are all covered here.
Ссылка на русскую версию / link to Russian version
Understanding valid/ready protocol is extremely important for every microarchitect.
Valid/ready is one of the main protocols used to organise flow-control inside a logic block as well as on inter-block (SoC) level.
In the last lesson, we explored FIFO buffer using hdlgadgets - human-in-the-loop HDL training tool.
This time we will take two FIFO buffers (which form a pipeline with valid/ready handshakes) and will experiment with it by changing flow-control logic of the pipeline.
We will show that valid/ready is not only a mechanism for transferring data from one FIFO queue to another, but also a method for organizing various kinds of logical functionality between queues.
If you have not worked with valid/ready protocol before, you will be surprised how easy it is to achieve desired functionality of the design by simply writing couple of lines of Verilog code in the handshaking logic block between two FIFOs.
How to design an economy for your game? The answer to this question might require a series of lectures or articles. The fundamental difference in the approach is based, first of all, on monetization model: F2P or B2P. The second thing that defines the approach to developing an economy system is game genre. This article reviews the case of designing the game economy for a B2P (premium) game, which doesn’t involve earning on microtransactions.
