A lot of code. Hard and easy is relative. Python ist eine für Anfänger und Einsteiger sehr gut geeignete Programmiersprache, die später auch den Fortgeschrittenen und Profis alles bietet, was man sich beim Programmieren wünscht. New to Python? At the same time, Thread B is waiting on Thread A to release another lock that Thread A is currently holding.In this dire situation, neither Thread A nor Thread B can progress any further so your program is hosed!To make the situation worse, it’s also one of the hardest problems to debug.As I mentioned earlier, a race condition is a situation that arises when accessing a shared resource isn’t protected (for example, by locks).Here is what the code above does. Python ist eine für Anfänger und Einsteiger sehr gut geeignete Programmiersprache, die später auch den Fortgeschrittenen und Profis alles bietet, was man sich beim Programmieren wünscht. I have a good job in an unrelated field but feel that picking up some of these skills could be beneficial in the future. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Become a Member Donate to the PSF

In immer weiteren Softwareprogrammen und Hardware kann man Python einsetzen – was Python noch interessanter macht. That means the only way to get better is through practice, practice, and more practice.Again keep solving more problems using Python, but try to structure your solutions in an object-oriented way.The more you practice, the more you will feel at ease with OOP.Nowadays whether you are buying an off-the-shelf laptop or a high-end server for your business, your processor will definitely have multiple cores.And sometimes, your program needs to take advantage of these multiple cores to run things in parallel.This can potentially lead to increased throughput, higher performance, and better responsiveness.If high performance and increased throughput are absolutely crucial, Python wouldn’t be the best language to support parallel programming.But since this is an article about Python, let’s keep our focus on Python.Before you dive in and write your first parallel program, there are some parallel processing concepts that you should learn about first.When you have some data that is shared across multiple threads or processes, it is important to synchronize access to these shared resources.If you don’t, a race condition can happen which might lead to unexpected and sometimes disastrous consequences. For example, And if you feel a little more adventurous and want to take this a bit further, you can also scrape the web with Like any other program, sometimes when you write a networking program, your program will not work from the first attempt.However, debugging networking programs is a little different than debugging regular programs.That’s why you need to equip yourself with the tools necessary to troubleshoot what’s going on.Here are some of the most popular networking tools that you will need.And like I said, to understand what all these Get, If you reached this level, give yourself a pat on the shoulder.Because by now, you have the skills that enable you to solve a wide variety of problems.For example, you don’t know how to modify your code to make it run faster. it’s really useful and valuable for someone’s career.I’m speechless… what dedication and attention to detail, thanks for breaking all this down in this manner, you are a star! Now you have what it takes to apply for any software engineering job in any tech company in the whole world.You only need to pass this dreaded coding interview.If you are at this level, I have written an in-depth article about A typical coding interview will assess your problem-solving skills, communication skills, knowledge of data structures and algorithms, in addition to how good and efficient you are at translating your thoughts into code.The best way to pass coding interviews is to give yourself an ample amount of time to prepare.The more you prepare, the better your interview experience will be, and the more likely you will land your dream job.After you start working, you will learn a lot on the job and you will start gaining extensive experience in a very short amount of time.If you want to venture into the territory of Python fluency and take your skills to the next level, then This book assumes you already have a solid understanding of the basics of Python.In addition to that, you will learn some new concepts as well.For example, some of the new concepts that you will learn in this book areNow you have all the basics covered, you are a Python pro.But the journey doesn’t end here, Python has a ton of useful libraries that can help you even more.Knowing what libraries to use and when to use them can save you a lot of time and effort and enables you to have the breadth of knowledge that is required to choose the right tools for the right job.So let’s talk about some of the most popular Python libraries and frameworks.These days, the way large and scalable web applications are built is by creating a bunch of smaller applications that communicate with each other.This architecture is called a micro-services architecture [buzzword alert] and each of these smaller applications is called a service or micro-service.These micro-services can communicate in various ways but one of the most popular methods is HTTP.In other words, each one of these services will expose an HTTP API that other services will be able to talk to.With that said, it’s a very good investment to learn how to create API services in Python.And one of the most popular Python libraries that make this super easy is By learning Django, you will also be introduced to some concepts that are very popular in other web frameworks in other languages like And while we’re at the topic of ORM, It’s worth mentioning that you should take a look at So roll up your sleeves and go ahead, create your first web application Python has become the de-facto language for machine learning and data science.This comes as no surprise, given the maturity of Python’s machine learning libraries.If you want to be a data scientist, I highly recommend learning the mathematical and statistical fundamentals of machine learning first before learning the ML libraries in Python.If you prefer a video course instead, then you should take Once you have the basics covered, start playing around with these Python libraries.This means that your Python code doesn’t get compiled down to a machine code directly, but first, it is compiled to an intermediate language, called There are various Python implementations for the compiler and the interpreter.But if you are curious about how Python’s list, tuples, functions,.. etc are implemented, and if you are willing to learn a new language (C) along the way, then maybe you should consider contributing to What I can assure you is that learning Python is easier than learning other programming languages like C++, and I love C++ by the way It is also the case that most universities use Python for their If you are completely new to programming in general, I would give myself 6 months to learn level 0 (the basics) and level 1 (OOP).If you are already a programmer coming from a different programming language, I would give it two weeks.Beyond level 1, it is not easy to assess how long it is going to take you because to fully understand the concepts beyond level 1, you also need to learn a lot of CS fundamental concepts that are orthogonal to Python (e.g.



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