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What is Python?

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance.

Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Who we are?

Greetings from EDUINX, your entry point to an amazing education in the ever-changing field of information technology! At EDUINX, we are committed to equipping people with the knowledge and abilities necessary to succeed in the rapidly changing IT sector and to become industry-ready. Our extensive courses give a smooth transition into the domains of CCNA, Python, Cisco DevNet Associate, and TCP Deep Dive, all while equipping students with the knowledge and skills that the industry demands. At EDUINX, we take great satisfaction in providing all of our students with the greatest knowledge possible, enabling them to have the appropriate information at the appropriate moment. Our trainers have years of expertise in various disciplines, which gives them a leg up when it comes to providing individualised teaching.

What are our special features?

Our training sessions are unique in their own way. You can enjoy the following benefits:

1. Live interactive classes with frequent doubt sessions

2. Lifetime LMS access

3. Access to pre-recorded videos as well

4. Students from all over the globe

5. Hands on Practical Learning

6. Dedicated Placement Support

7. Learn from Top 1% Industry Leaders

8. Industry Led Training Program

9. Personalized Mentorship

10. 100+ Hiring Partners

11. 100% Placement assistance

Sabyasachi

Sr.Network Engineer at Google, Ireland

Our Mentors

As the Lead Trainer at EDUINX, Sabyasachi K., a renowned Network Engineer at Google, Ireland, contributes an unmatched depth of knowledge. Having held a senior-level position at Nokia as a Subject Matter Expert with a focus on EVPN and SRv6, Sabyasachi possesses a wealth of experience in the planning, execution, transfer, and maintenance of intricate multi-vendor enterprise data centres. In addition to being an accomplished practitioner, Sabyasachi is also a well-known speaker in industry forums, thanks to his dynamic approach to knowledge sharing. With his expertise in Python, Bash, and Ansible, Sabyasachi is a notable figure in the field of Network Automation.

His proficiency with these tools demonstrates his dedication to remaining on the cutting edge of technological development, guaranteeing that EDUINX students receive instruction that is not just theoretical but also applicable to the real world and pertinent to the industry. With a unique combination of industry experience, state-of-the-art expertise, and a passion for enabling students to succeed in the quickly changing field of network engineering, Sabyasachi K., as Lead Trainer at EDUINX, is leading the charge in moulding the future generation of network professionals.

  1. Why care about Git?
  2. Git-Getting Started
  3. Git - Adding and Removing Files
  4. Git - Push and Pull
  5. Git - Branches
  6. Git - Rebase
  7. Git - Common Workflow
  8. Netmiko Overview
  9. Netmiko send command()

  1. Netmiko Handling Additional Prompts
  2. Netmiko Delay Factor
  3. Netmiko and TextFSM
  4. Netmiko and Config Changes
  5. Netmiko and Secure Copy
  6. Netmiko save_config(), keys, and fast_cli
  7. Netmiko Misc Topics

  1. Handling Complex Data Structures
  2. Changing Data Structure Format
  3. Serialization Protocols
  4. YAML
  5. JSON
  6. CiscoConfParse (Part1)
  7. CiscoConfParse (Part2)
  8. CiscoConfParse (Part3)

  1. Python Libraries and PIP
  2. sys.path and PYTHONPATH
  3. __name__ Technique
  4. Reusing Code
  5. TextFSM Overview
  6. TextFSM Template Structure
  7. TextFSM Creating a Template (Part1)
  8. TextFSM Creating a Template (Part2)
  9. TextFSM Show Version Example
  10. TextFSM Filldown

  1. Arista eAPI Introduction
  2. Arista eAPI Request Structure
  3. Arista eAPI using Python-Requests Library
  4. Creating a Basic Connection using pyeapi
  5. Creating Connections using pyeapi and .eapi.conf
  6. Executing Show Commands using pyeapi
  7. Configuring Devices using pyeapi
  8. Using the .api() method in pyeapi
  9. Arista eAPI Conclusion

  1. XML - Why Care
  2. XML Introduction
  3. XML Terminology
  4. xmltodict Library
  5. xmltodict and the List Problem
  6. xmltodict and Attributes
  7. Python-lxml Basics
  8. Built-in XML Library and ElementTree
  9. lxml and Traversing the XML Tree
  10. lxml and findall()
  11. XML and Namespaces
  12. lxml and Handling Namespaces
  13. NX-API Overview
  14. NX-API and JSON-RPC
  15. NX-API and XML

  1. NETCONF Overview
  2. NETCONF and ncclient
  3. Juniper PyEZ - Creating a Basic Connection
  4. Juniper PyEZ - Tables (Part1)
  5. Juniper PyEZ - Tables (Part2)
  6. Juniper PyEZ - Configuration Basics
  7. Juniper PyEZ - Config Changes from a File
  8. Juniper PyEZ - Configuration and XML
  9. Juniper PyEZ - RPC

  1. NAPALM Overview
  2. NAPALM - Simple Connection
  3. NAPALM - Getters
  4. NAPALM - Configuration Merge
  5. NAPALM - Configuration Replace

Who is this course for?

The Python Basics program is ideal for a wide range of learners, including absolute beginners, students, career changers, tech professionals, educators, hobbyists, data enthusiasts, automation aficionados, entrepreneurs, and researchers. Whether you're looking to kickstart your journey in programming, enhance your current skill set, automate tasks, or delve into data analysis, this course provides the foundational knowledge you need in one of the most versatile and sought-after programming languages today. Perfect for anyone eager to explore the world of coding, regardless of their background or career goals.

Job Opportunities

You can land the following jobs through Python:

1. Junior Python Developer

2. Data Analyst

3. Automation Tester

4. Quality Assurance (QA) Engineer

5. Junior DevOps Engineer

6. Technical Support Engineer

7. System Administrator

8. Academic Research Assistant

9. Content Creator for Technical Education