Data Science with Python Course
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Data Science with Python Course Overview
Data Science with Python Training in Bangalore
MNP Technologies located in Marathahalli, Bangalore is a leading training institute providing real-time and placement oriented Data Science with Python Training Courses in Bangalore. Our Data Science with Python training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands-on real-time Python projects knowledge which will provide you an edge over other training institutes. Mnp Technologies gives the best Python training in Marathahalli.
Our Python training center is well equipped with lab facilities and excellent infrastructure for providing you real-time training experience. We also provide certification training programs in Data Science with Python Training. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.
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Data Science with Python Course Duration & Timings
Our team of experts at MNP Technologies Training Institute, Bangalore have designed our Data Science with Python Training course content and syllabus based on students requirements to achieve everyone’s career goal. Our Python Training course fee is economical and tailor-made based on training requirement.
We Provide regular training classes(daytime classes), weekend training classes, and fast-track training classes for Data Science with Python Training in our centers located in Bangalore. We also provide Online Training Classes for Python Training Course.
Data Science with Python Course Syllabus
1. Introduction
- 1.1 Introduction
- 1.2 Why python?
- 1.3 Installing Python and versions
- 1.4 Interactive mode, creating and running programs
- 1.5 Blocks, Indentation, lines and commenting
2. Input/Output and assignment
- 2.1 Printing
- 2.2 Input strings and numbers
- 2.3 Variable declaration and assignment
- 2.4 Operators
- 2.5 Expression and Code evaluation
- 2.6 Error messages
8. Debugging
- 8.1 Debugging
Advanced Python Contents
9. Classes and Objects detailed
- 9.1 Classes detailed
- 9.2 Constructors
- 9.3 Generators
- 9.4 Iterators
- 9.5 Decorators
10. Regular Expressions
- 10.1 Defining regular expressions
- 10.2 Compiling regular expressions
- 10.3 Using regular expressions
- 10.4 Match and find
- 10.5 Examples
11. Networking, DB and CGI
- 11.1 Networking, telnet and ssh
- 11.2 Database connection
- 11.3 Basic graphics
3. Flow Control Loops and decision making
- 3.1 While loop
- 3.2 For loop
- 3.3 if, else
- 3.4 exit, break
4. Built in Data-Types
- 4.1 Strings and characters
- 4.2 Lists
- 4.3 Tuples
- 4.4 Dictionaries
- 4.5 Files
5. Functions
- 5.1 Function declaration
- 5.2 Basic function
- 5.3 Pass by value
12. Parsing
- 12.1 Special purpose parsers
- 12.2 Writing a recursive descent parser by hand
- 12.3 Parsing command delimited lines
- 12.4 Parsing functions
- 12.5 Parsing names, phone numbers
- 12.6 XML parsing
13. Multithreading
- 13.1 Multithreading and examples
14. Logging and debugging again
- 14.1 Logging and debugging examples
6. Error Handling
- 6.1 Except
- 6.2 Try, Except and raise exceptions
7. Basic Classes and instances
- 7.1 Defining a class, basic class
- 7.2 Instance
- 7.3 Class Data
- 7.4 Properties
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SAP FICO Course Overview
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SAP FICO Course Duration & Timings
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SAP FICO Course Syllabus
General Ledger Accounting
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