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According to Indeed.co.in, the average salary of the Python Developer is about Rs. 4,94,179 per year. Our Python online course trainers are certified consultants who have more than a decade of experience in the Python field.
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Apart from this, the Python Online Course also covers the programming language needed for making data analysis, how to work with data, and how to apply them on data for visualizing and analyzing them. The Python certification training also exposes to advanced concepts like Deep Learning, MapReduce, Hadoop streaming, Machine learning, work with Python packages like Scipy, Scikit, and more.
The best in the industry syllabus covers all the major topics necessary to learn this language. The online training course gives flexibility to candidates to get knowledge from wherever they are. In this course, you will have live sessions, video training, cases and projects to work on which will help in learning this language better. Moreover, you will also get placement assistance that allows you to begin your career in the field of Python.
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Django is the most popular Python-based web framework that enables engineers to build powerful, scalable, flexible, robust and amazing web applications quickly. It has a vast community, offering a wide range of free and open-source tools and packages that helps engineers to build interactive front-end applications.
Django provides 3 layers:
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Python is transforming the DevOps landscape. Using Python in a DevOps environment enables engineers to develop web apps and data visualization quickly. Unlike other languages, Python has a direct approach to programming, meaning, a clean and easily understandable syntax, making itself a great fit for DevOps. Python is an amazing scripting language, used to automate manual tasks. The majority of configuration management tools are written with Python underscores, such as Ansible and SaltStack. Python is the most preferred language when it comes to infrastructure automation and orchestration. If you are working in a DevOps environment, Python’s simplicity, directness, and agility are invaluable when you are working in a DevOps environment.
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Commonly, Python’s gradual learning curve and simple syntax make it popular in the big data field. In addition to this:
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Data science involves extracting meaningful data from a huge set of unstructured and unprocessed data. Machine learning is used to make connections between dissimilar data sets but these data sets also require computational power and sophistry. This is where Python helps data scientists. It enables them to create CSV output, making easier to read and extract data in the spreadsheet.
Python is the most popular language for data science as it offers a wide range of data science and data analysis libraries, including:
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Python is the most preferred language for Selenium because it is easy to read and code, enabling selenium tests to be written quickly with less code. Python also has a big community that offers a good support system for Selenium. With Python APIs, connecting with the browser through Selenium is amazing and fun. Selenium uses WebDriver (a web automation framework) that has strong bindings with Python.
Selenium Python bindings offer a simple API, enabling the testers to build acceptance/functional tests using Selenium WebDriver. Functionalities of Selenium WebDriver can easily be accessed with Selenium Python API.
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