Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
IronPython Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry IronPython Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
IronPython Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from IronPython Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Big Data and hadoop technologies :
Syllabus of IronPython Online Course Download syllabus
- 1. Load data from multiple sources
- 2. oin data sets Write to multiple data files, grouped by key fields
- 1. Format data sets
- 2. Find and replace delimiters
- 3.Split fields into multiple columns
- 1. Using conditional statements in formulas
- 2. Format Date/Time fields
- 3. Use values from previous/subsequent rows in formulas.
- 1. Filter
- 2. Summarize
- 3. Browse
- 4. Union
- 5. Join Multiple
- 6. Input Data
- 7. Formula
- 8. Join
- 9. Output Data
- 10. Date Filter
- 11. Generate Row
- 1. Summarize data by groups
- 2. Sort data
- 3. Extract a specified portion of records from the data
- 4. Pivot the orientation of a data table
- 1. Use Regular Expressions for data parsing dynamically rename fields
- 1. Basic Solr Project For Providing Search Capability(Like Google Search Engine)
- 1. Add text to reports and documents
- 2. Arrange reporting snippets
- 3. Create presentation quality reports in various formats
- 1. Create a workflow that can run as a single tool in another workflow
- 2. Create input parameters for passing data to a macro tool
- 3. Display output arrows on a macro tool
- 1.Create Analytic App Workflows that can be run by consumers
- 1. Retrieve data from url
- 2. API call through REST architecture.
- 3. Google Analytics, Google Adwords, SimilarWeb, Sistrix(SEO tool), Facebook Analytics
- 1. Create a macro that will run through every record and then loop the records back through the workflow, repeating the entire process as many times
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Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
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IronPython Online Training Objectives
- IronPython is an implementation of the Python programming language that is designed to run on the .NET Framework or Mono. It enables Python code to integrate with .NET libraries and use .NET languages such as C# and VB.NET. IronPython can be useful in situations where you need to leverage existing .NET libraries or tools.
- Learning the basics of the IronPython programming language and its syntax.
- Understanding how to use IronPython to develop .NET applications.
- Familiarizing with the IronPython interactive shell and its capabilities.
- Learning how to create and work with IronPython scripts.
- Understanding how to use IronPython for data analysis and manipulation.
- The scope of IronPython online training is to provide students with a comprehensive understanding of the Python programming language and how it can be used in the .NET ecosystem using IronPython.
- The training typically includes hands-on exercises and projects to help students develop the skills they need to work with IronPython effectively.
- By the end of the training, students should be able to create IronPython applications that integrate seamlessly with .NET libraries and frameworks.
- However, Python is a highly popular language used in a variety of industries, including data science, web development, and artificial intelligence.
- It is also a beginner-friendly language that is easy to learn and understand. As such, Python is likely to remain a popular language for online training in the tech industry.
- Given the popularity of Python and the .NET Framework, it is possible that there may be demand for IronPython online training. However, the specific level of demand may depend on various factors such as the current market needs, industry trends, and the availability of similar training resources.
- Find a reliable online platform that offers IronPython training. Some examples include Udemy, Pluralsight, Coursera, and edX.
- Choose a course that matches your skill level and learning objectives. IronPython courses range from beginner to advanced levels, so it's important to select a course that suits your needs.
- .NET Developer: IronPython is a language that runs on the .NET framework, so it can be useful for .NET developers who need to automate tasks or build scripts.
- Automation Engineer: IronPython can be used to build test scripts and automate tasks, making it a useful skill for automation engineers.
- Data Analyst: IronPython can be used with data analysis libraries like NumPy, SciPy, and Pandas, making it a useful tool for data analysts who need to work with large data sets.
- Basics of IronPython: You may learn the basics of IronPython, such as how to install and configure the software, syntax, and fundamental concepts of IronPython.
- Python and .NET Integration: You may learn how to integrate Python with .NET framework, which includes calling .NET libraries from Python and calling Python code from .NET applications.
- Basics of Python programming language: IronPython is a version of Python, so a solid understanding of Python programming concepts and syntax is essential.
- .NET Framework and libraries: Since IronPython is designed to work with the .NET framework, understanding the basics of the .NET Framework and the available .NET libraries is important.
- Flexibility: With online training, you have the flexibility to learn at your own pace and on your own schedule. You can study at any time, from anywhere in the world, as long as you have an internet connection.
- Convenience: Online training eliminates the need for travel and accommodation expenses, which can be a significant cost for in-person training.
Exam & Certification
- Participate and Complete One batch of IronPython Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the IronPython course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

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Software Testing, CapgeminiIronPython Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
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- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
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- View the class presentation and recordings that are available for online viewing.
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