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-Experience in creating, maintaining, and deploying complex systems using the most recent technologies for a minimum of 4 years is required.
-Must have advanced programming experience on a variety of the newest technologies/platforms for at least 4 years, with progressive IT experience. (Python, SQL programming, Linux/Unix, Shell scripts, Scala, Postgres/MySQL/Hive databases, HDFS, MinIO, Airflow, Django, Tableau, Kubernetes clustered environment on-prem or public cloud).
-Knowledge of how to create and implement containerized applications using Docker and deploy them on a Kubernetes cluster.
-Having prior Docker experience, including setting up and managing Docker registries and writing Docker files to produce customized images is essential.
-Must have proven advanced database-related programming skills. Also, the need of understanding, modify, and create database programming code to support applications and system requirements.
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Python Developer
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Python Developer
Signing Up for Optymize was the best decision of my career as a Python Developer. I worked with talented teams and each of those experiences was mind-blowing. I integrated myself into remote teams and built innovative solutions with the team using Python.
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A Must-Know Guide To Excel At
Remote Python Jobs
According to Statista, Python is the second most desired programming language of 2022. It also falls in the category of the top five most widely used programming languages in the world. As a job seeker, if you have unparalleled skills in Python then you will be among the most highly desirable candidates in fields like data science, AI, Machine Learning, web development, etc.
Python programming language has been at the center of cutting-edge technology like artificial intelligence, big data, and machine learning due to its rising popularity and compact and potent design. Web development, machine learning, artificial intelligence (AI), data science, game development, audio-visual apps, computer-aided design (CAD), and web scraping are all areas where Python is used. Python gives programmers complete freedom to create any kind of application.
No other programming language has offered this much versatility and freedom. Therefore, Python programmers can utilize their expertise and apply them across a wide range of industries without the need to learn another language.
Frameworks are the modules or packages in a programming language that gives assistance to the developers while creating a web application. It allows the developer to not waste time on common structures or operations like web security, URL Routing, database connection, session storage, etc. This makes the work easier, more flexible, and more efficient.
-Python Libraries
Libraries are a collection of code that can be reused by the developer while creating an application. It eliminates the element of working hard on the basic coding structures that need to be written from scratch. It is to be believed that Python has the largest library collection with 137,000 + python libraries like Numpy, SciPy, SQLAlchemy, etc to date which includes over 267k projects.
-ORM Libraries
Object Relational Mappers or ORM is a part of Python libraries that allows a python developer to make modifications in their stored database just as SQL but more efficient and time-saving.
-Iterators
-Generators
-Exception Handling
-File handling concepts
-Data types and variables
-OOPs Concepts
-Data Structures
Sound Knowledge of Web
-Frameworks
-Flask
-Django
-JavaScript
-CSS
-HTML
Data Science Skills
-Good Knowledge of SQL
-Knowledge to use Python packages such as Scikit learn, MatPlotlib, NumPy, etc. for Data Science
-Cleaning up of Data
-Data Wrangling
-Analysis of Data
-Visualization of Data
-Mathematical Knowledge
-Knowledge of Probability
-Knowledge of Statistics
Artificial Intelligence and Machine Learning Skill
-Deep Learning
-Audio Processing
-Video Processing
-NLP ( Natural Language Processing)
-Python Web Developer
-Python Software Engineer
-Automation and Testing Engineer
-Data Analyst
-Data Scientist
-Machine Learning Engineer
Python is often used as a support language for software developers, for building control and management, testing, and in many other ways.
-SCons for build control.
-Buildbot and Apache Gump for automated continuous compilation and testing.
-Roundup or Trac for bug tracking and project management.
Game Design
There are many frameworks that help developers create high-quality commercial games quickly. Some of the tools, libraries and frameworks are Pygame, PyKyra, Pyglet, PyOpenGL, and Kivy.
Web and Internet Development
Python offers many choices for web development –
-Frameworks such as Django and Pyramid and Micro-frameworks such as Flask and Bottle.
-Advanced content management systems such as Plone and Django CMS.
Scientific and Numeric Application
-SciPy is a collection of packages for mathematics, science, and engineering.
-Pandas is a data analysis and modeling library.
-IPython is a powerful interactive shell that features easy editing and recording of a work session and supports visualizations and parallel computing.