About Python Programming Language Training:

Learn one of the world's most popular programming language, Python, which is accepted by leading organizations. Learning Python is very easy for its keywords and format is structured with plain English. Studies say that Python programmers were able to write codes easier than compared to many other programming language. Python also has outstanding career opportunity in the IT industry. Why wait? Grab a training and job placement course from the list of best training providers in the US. ELearningLine intensive Python training courses are designed for scientists, engineers, financial analysts, and data analysts which can be used in specific work environments. Python has been used in scientific computing for industries like finance, oil and gas, physics, and signal processing. After completing the course all learners should be able to write Python scripts, using basic data types, data structures, and the standard Python library.

Key Features:

1. All modes of training: Self Learning / Online instructor-led / Traditional classroom
2. Browse course details
3. Curriculum and demo videos
4. Quality course material provided
5. Become a certified expert on the subject
6. Instant access to reference material
7. Get high-pay jobs offers post-training
8. Basic and Advanced Concepts of Python
9. Web scraping in Python
10. Real Life Project on Big Data Analytics using Python

Python Training Objectives:

1. Master the fundamentals of writing Python scripts
2. Learn core Python scripting elements such as variables and flow control structures
3. Discover how to work with lists and sequence data
4. Write Python functions to facilitate code reuse
5. Use Python to read and write files
6. Make their code robust by handling errors and exceptions properly
7. Work with the Python standard library
8. Explore Python's object-oriented features
9. Search text using regular expressions
10. Basic and Advanced Concepts of Python
11. Python Scripts on UNIX/Windows, Python Editors and IDEs
12. Sequences and File operations
13. create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
14. Web scraping in Python
15. Real Life Project on Data Analytics using Python
16. Process text using regular expressions
17. Leverage OS services
18. Perform basic graphics programming
19. Create modules
20. Test and debug applications
21. Take advantage of Python's object-oriented features
22. Interact with network services such as FTP and SMTP
23. Query databases
24. Process XML data
25. Work with JSON
26. Use the sh module

Eligibility:

1. Beginners who wants to learn programming with Python.
2. Current Programmers
3. Developers, system administrator and QA engineer who want to develop, automate and test applications using Python.
4. Web masters, programmers and entrepreneurs can opt for this course.

Pre-requisites:

1. There is no pre-requisites
2. Prior programming experience and knowledge of object-oriented programming concepts is not required, but good to know.
3. Students should have a basic understanding of web design or fundamental programming language
4. Beginners who are familiar with basic concepts such as variables/scopes, flow-control and functions.
5. Prior exposure to object-oriented programming concepts is not required but students should be comfortable using the operating system.

Python Training Objectives:

1. Master the fundamentals of writing Python scripts
2. Learn core Python scripting elements such as variables and flow control structures
3. Discover how to work with lists and sequence data
4. Write Python functions to facilitate code reuse
5. Use Python to read and write files
6. Make their code robust by handling errors and exceptions properly
7. Work with the Python standard library
8. Explore Python's object-oriented features
9. Search text using regular expressions
10. Basic and Advanced Concepts of Python
11. Python Scripts on UNIX/Windows, Python Editors and IDEs
12. Sequences and File operations
13. create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
14. Web scraping in Python
15. Real Life Project on Data Analytics using Python
16. Process text using regular expressions
17. Leverage OS services
18. Perform basic graphics programming
19. Create modules
20. Test and debug applications
21. Take advantage of Python's object-oriented features
22. Interact with network services such as FTP and SMTP
23. Query databases
24. Process XML data
25. Work with JSON
26. Use the sh module

CURRICULUM

1. An Overview of Python
2. Running Python Scripts
3. Using variables, string types, string operators and expressions
4. Flow Control
5. Sequence Data
6. Defining Functions like Syntax, formal parameters, global vs. local variables and passing parameters
7. Working with Files
8. Dictionaries and Sets
9. Errors and Exception Handling
10. Using Modules
11. Regular Expressions
12. Highlights of the Standard Library

Python certification programs are a good way to know about many of the Python extensions as well as best practices. All concepts are clarified through real-world examples and exercises so students can learn faster and in-depth about Python’s exclusive features like tuples, array slices and output formatting.