{"id":3744,"date":"2022-10-10T15:10:30","date_gmt":"2022-10-10T18:10:30","guid":{"rendered":"https:\/\/ultrasun.com.ar\/2021\/?p=3744"},"modified":"2024-03-21T19:10:29","modified_gmt":"2024-03-21T22:10:29","slug":"7-python-interview-questions-to-practice","status":"publish","type":"post","link":"https:\/\/ultrasun.com.ar\/2021\/2022\/10\/10\/7-python-interview-questions-to-practice\/","title":{"rendered":"7 Python Interview Questions to Practice"},"content":{"rendered":"<p>Interviewers delve into questions related to Python&#8217;s libraries and frameworks, emphasizing tools such as NumPy, Django , and TensorFlow. Python programming questions assess a developer&#8217;s expertise with the features, best practices, and challenges of specific tools. A developer&#8217;s dedication to leveraging Python&#8217;s extensive ecosystem and their competence in addressing intricate issues in specialized areas is showcased by familiarity with theses. At Bridge, we work with local recruiters who understand technology and software development processes and speak with candidates in their native tongue.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"307px\" alt=\"python developer interview questions\"\/><\/p>\n<p>A Namespace in Python is a mapping between a name and an object. E.g. the set of built-in exception names, the set of built-in names, local names in a function. At different moments in Python, different namespaces are created. For the list of built-in names, Namespace is created when the Python interpreter starts.<\/p>\n<h2>Python Developer Interview Questions and Answers<\/h2>\n<p>Python is considered to be a multi-paradigm language, which means it supports multiple programming techniques including object-oriented and functional programming. Since most Python tools have bundled up data and functions, it is considered to be object-oriented. The functions of Python are important for data scientists and programmers alike because Python supports both object-oriented and functional programming.<\/p>\n<p>Caching strategies are essential for optimizing the performance of web applications, and employers want to know if you have the skills and experience to implement effective solutions. Demonstrating your knowledge and experience in this area shows that you\u2019re capable of building efficient <a href=\"https:\/\/remotemode.net\/\">https:\/\/remotemode.net\/<\/a> and scalable applications, which is a valuable asset to any team. This question is designed to test your understanding of object-oriented programming concepts in Python. The __init__ method is the constructor of a class, meaning it\u2019s called when an object is created from that class.<\/p>\n<h2>Q1. What is the difference between list and tuples in Python?<\/h2>\n<p>The list&#8217;s `append()` method provides the functionality of a stack&#8217;s push operation. Python generators allow for the creation of iterators using simple functions rather than implementing complex classes. A generator produces items one at a time using the `yield` keyword, instead of returning a whole sequence. This leads to efficient memory usage because items are generated on-the-fly and aren&#8217;t stored in memory all at once. A function is a block of code that performs a specific task and can be defined using the `def` keyword.<\/p>\n<p>Dictionary lookup time is generally faster, with a complexity  of O(1), due to their hash table implementation. In contrast, list lookup time is O(n), where the entire list may need to be iterated to find a value. The \u2018finally\u2019 block defines a block of code that will be executed regardless of whether an exception is raised or not. It not only enhances code readability but also defines code blocks. Proper indentation is crucial for correct code execution; otherwise, you are left with a code that is not indented and difficult to read. Python developers in countries like India or the Philippines earn comparatively less due to the lower cost of living and market demand, When considering international salaries.<\/p>\n<h2>How can you make comments in Python?<\/h2>\n<p>Python Interview Questions are designed to assess an applicant&#8217;s proficiency in the Python programming language, ranging from fundamental syntax to intricate problem-solving scenarios. Python coding interview questions encompass foundational knowledge, hands-on coding abilities, and conceptual understanding of Python&#8217;s principles and design philosophies. Python is one of the fastest-growing programming languages at the moment. In the recent TIOBE index, it is placed first, leaving C and Java behind.<\/p>\n<ul>\n<li>As a full stack developer, it\u2019s important to have a well-rounded understanding of both front-end and back-end technologies.<\/li>\n<li>After pinpointing these issues, I prioritized them based on their impact on performance, maintainability, and security.<\/li>\n<li>Turing.com lists out the do\u2019s and don\u2019ts behind a great resume to help you find a top Python developer job.<\/li>\n<\/ul>\n<p>Pylint helps to check for the module\u2019s coding standards and support the different plugins as to create customized features as per requirements. PyChecker helps to find bugs in the Python source code files and brings to attention the code issues. The Microsoft Open Database Connectivity is an interface <a href=\"https:\/\/remotemode.net\/become-a-python-developer\/\">how to become a python developer<\/a> for the C programming language. If you use a Python ODBC interface with the standard ODBC drivers that ship with most databases, you can likely connect your Python application with most databases in the market. The  different Python ODBC modules are pyodbc, PythonWin ODBC, and MxODBC.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interviewers delve into questions related to Python&#8217;s libraries and frameworks, emphasizing tools such as NumPy, Django , and TensorFlow. Python programming questions assess a developer&#8217;s expertise with the features, best practices, and challenges of specific tools. A developer&#8217;s dedication to leveraging Python&#8217;s extensive ecosystem and their competence in addressing intricate issues in specialized areas is&hellip; <a class=\"more-link\" href=\"https:\/\/ultrasun.com.ar\/2021\/2022\/10\/10\/7-python-interview-questions-to-practice\/\">Segu\u00ed leyendo <span class=\"screen-reader-text\">7 Python Interview Questions to Practice<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[47],"tags":[],"_links":{"self":[{"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/posts\/3744"}],"collection":[{"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/comments?post=3744"}],"version-history":[{"count":1,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/posts\/3744\/revisions"}],"predecessor-version":[{"id":3745,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/posts\/3744\/revisions\/3745"}],"wp:attachment":[{"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/media?parent=3744"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/categories?post=3744"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ultrasun.com.ar\/2021\/wp-json\/wp\/v2\/tags?post=3744"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}