{"id":4187,"date":"2024-07-22T20:49:11","date_gmt":"2024-07-22T18:49:11","guid":{"rendered":"https:\/\/amelie.transparence-c.com\/?p=4187"},"modified":"2024-12-31T17:16:46","modified_gmt":"2024-12-31T16:16:46","slug":"what-is-python-used-for-a-beginners-guide","status":"publish","type":"post","link":"http:\/\/amelie.transparence-c.com\/index.php\/2024\/07\/22\/what-is-python-used-for-a-beginners-guide\/","title":{"rendered":"What Is Python Used For? A Beginners Guide"},"content":{"rendered":"<p>If you want to be a computer vision engineer, a project related to object detection will be more relevant. You do not need to have ten projects in your portfolio;  3 to 5 well-targeted projects are enough. We\u2019re super passionate about teaching with articles and tutorials here on realpython.com\u2014and we\u2019d love to help you, too! 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width=\"307px\" alt=\"Python skills\"\/><\/p>\n<p>If you see inaccuracies in our content, please report the mistake via this form. If online practice exercises, courses, and projects don&rsquo;t appeal to you, here are a few blog-style tutorials that will help you learn Python. In this quiz, you&rsquo;ll test your understanding of Python virtual environments. With this knowledge, you&rsquo;ll be able to avoid dependency conflicts and help other developers reproduce your development environment. In this quiz, you&rsquo;ll test your knowledge of linear regression in Python. Linear regression is one of the fundamental statistical and machine learning techniques, and Python is a popular choice for machine learning.<\/p>\n<h2>Scientific Systems Engineer, Bristol Myers Squibb, Princeton<\/h2>\n<p>We stand on the shoulders of giants, and  you should take advantage of this. This point is related to imposter syndrome, where you feel that you are never good enough to land a developer job. I think this is especially true if you\u2019re making a mid-career switch like I did. By \u201cbe specific\u201d, I mean you should choose projects that will help you professionally. If you want to be a backend developer, building an API can be a good project.<\/p>\n<ul>\n<li>In 30 days, you can definitely learn enough Python to be able to build some cool things.<\/li>\n<li>A good starting point is to ask about their knowledge of the language overall.<\/li>\n<li>A great way to improve your Python skills a little, day by day, is to sign up for our free Python Tricks email series.<\/li>\n<li>It requires a good understanding of how to acquire data from datasets, analyze data, visualize data, produce insights from data, learn about Neural Networks, etc.<\/li>\n<li>Practically every potential employer expects developers to know how to manage version control.<\/li>\n<li>It\u2019s an incredibly popular programming language, and Python developers who can demonstrate a high competency level make great assets for software development teams.<\/li>\n<\/ul>\n<p>Each level features specific skill sets, so when you assess your candidates\u2019 competency with a Python skills test, you should be looking for particular attributes that indicate their proficiency. The ideal way to evaluate such competency is with a Python skills assessment. But you need to learn how to administer a Python skills test and the many competency levels that apply to your candidates. Event-driven programming is generally more difficult and time-consuming than batch programming for basic systems.<\/p>\n<h2>Python for Big Data Analytics<\/h2>\n<p>He should have a good understanding of Neural Networks, Produce insight from data, visualization of data, Data analysis, and collection of data from various sources. The Python Package Index contains a large number of third-party modules, allowing it to converse with the majority of other platforms and programming languages. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article.<\/p>\n<div style='text-align:center'><iframe width='561' height='318' src='https:\/\/www.youtube.com\/embed\/HgUZxpi5jMM' frameborder='0' alt='Python skills' allowfullscreen><\/iframe><\/div>\n<p>One must be able to avoid any communication gap or confusion in understanding or any kind of misunderstanding. Half of the job is already done when one communicates do peer code review and make a contribution within the team in an efficient manner. Communication is also needed to solve any problem and to communicate with teammates.<\/p>\n<h2>Practice with Online Python Tutorials<\/h2>\n<p>Python is a high-level programming language used for a wide range of tasks. First released in 1991, Python engineers use it for software and web development and building websites. <a href=\"https:\/\/deveducation.com\/en\/courses\/python-developer\/\">python developer course<\/a> Communication skill is one of the essential skills which one should have in any profession. Successful communication can bring success to the professional and the organization.<\/p>\n<p>When interviewing a Python developer, ask them about the libraries they have used in the past or why they have to use them. Most of them are great tools for developers to learn more about AI, machine learning, data science, among other trending topics. Besides that, more common libraries allow developers to stay flexible and develop more complex solutions faster.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"304px\" alt=\"Python skills\"\/><\/p>\n<p>If these didn&rsquo;t spark your interest, here are plenty of other online Python projects you can try. In this quiz, you&rsquo;ll revisit how to add time delays to your Python programs. This is a quiz that will review topics covered in our An Intro To Threading tutorial. With this knowledge, you&rsquo;ll be able to include all sorts of Python expressions inside your strings. In simplified terms, strings are collections of text, and they show up in many contexts.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"305px\" alt=\"Python skills\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you want to be a computer vision engineer, a project related to object detection will be more relevant. 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