Data Science with Python Training in Marathahalli & Data Science with Python Training Institutes 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.
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 Training Syllabus in Bangalore
Python Course Contents
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
3. Flow
Control Loops and decision making
3.1 While loop
3.2 For loop
3.3 if, else,
elif
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
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
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
12. Parsing
12.1 Special
purpose parsers
12.2 Writing a
recursive descent parser by hand
12.3 Parsing comma delimited lines
12.4 Parsing
functors
12.5 Parsing
names, phone numbers, etc
12.6 XML parsing
13. Multithreading
13.1
Multithreading and examples
14. Logging and debugging again
14.1 Logging and
debugging examples
