Python Developer Resume | Python Developer Skill Set, Jobs, Roles and Responsibilities | Edureka

🔵 Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka video on ‘Python Developer Resume’ will provide help to perceive how one can construct a resume contemplating numerous points of resume constructing for a python developer. Following are the subjects mentioned:
0:53 – Who Is A Python Developer?
2:50 – Job Description
4:52 – Python Developer Job Trends
6:09 – Salary Trends
7:10 – Skills Required
10:14 – How To Build Your Resume?
12:22 – Sample Resume

Python Tutorial Playlist: https://goo.gl/WsBpKe
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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of task and 20 hours of challenge work
2. We have a 24×7 One-on-One LIVE Technical Support that can assist you with any issues you may face or any clarifications you might require in the course of the course.
3. At the tip of the coaching, you’ll be engaged on a real-time challenge for which we’ll present you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Python Online Certification Training will make you an skilled in Python programming. It can even provide help to be taught Python the Big knowledge method with integration of Machine studying, Pig, Hive and Web Scraping via stunning soup. During our Python Certification coaching, our instructors will provide help to:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn methods to use and create features, sorting totally different parts, Lambda operate, error dealing with strategies and Regular expressions ans utilizing modules in Python
5. Gain experience in machine studying utilizing Python and construct a Real Life Machine Learning utility
6. Understand the supervised and unsupervised studying and ideas of Scikit-Learn
7. Master the ideas of MapReduce in Hadoop
8. Learn to jot down Complex MapReduce applications
9. Understand what’s PIG and HIVE, Streaming characteristic in Hadoop, MapReduce job working with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the ideas of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics utilizing Python and acquire Hands on Project Experience
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Why be taught Python?

Programmers love Python due to how briskly and straightforward it’s to make use of. Python cuts growth time in half with its easy to learn syntax and straightforward compilation characteristic. Debugging your applications is a breeze in Python with its inbuilt debugger. Using Python makes Programmers extra productive and their applications in the end higher. Python continues to be a favourite choice for knowledge scientists who use it for constructing and utilizing Machine studying functions and different scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET digital machines. Python is free to make use of, even for the industrial merchandise, due to its OSI-approved open supply license.
Python has advanced as probably the most most popular Language for Data Analytics and the growing search tendencies on python additionally signifies that Python is the subsequent “Big Thing” and a should for Professionals within the Data Analytics area.

Who ought to go for python?

Edureka’s Data Science certification course in Python is an efficient match for the beneath professionals:
· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer’
· Analytics Managers who’re main a crew of analysts
· Business Analysts who wish to perceive Machine Learning (ML) Techniques
· Information Architects who wish to acquire experience in Predictive Analytics
· ‘Python’ professionals who wish to design computerized predictive fashions

For extra info, Please write again to us at gross sales@edureka.in or name us at IND: 9606058406 / US: 18338555775 (toll free)

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