Like us!
Follow us!
Follow us!
Follow us!
Subscribe us!
Join us!

Opening Hours : Monday to Sunday - 9 Am to 7 Pm

icon

Need Help? call us free

+91 6364630111

Best Python Training Institute In Bangalore

Python Training In Bangalore

  • Teacher
    Trainer
    Python
  • Category
    It/Software
  • Review
    • (0 Reviews)
Courses

Python Course

Learn basic to advance Python that exploring many different types of data. Also learn how to prepare data for analysis, perform statistical analysis, create data visualizations, predict the future information that help organizations make better decisions.

Benefits of Python Certification:

1. Python is an open source language
2. Python is popular & widely used
3. Python can be used in the development of prototypes
4. Python is ideal for data mining & big data
5. Django is a open source web application framework
6. Used by a number of tech giants like Google, Instagram, Pinterest, Yahoo!, Disney, IBM, Nokia, & more.

Python Roles & Responsibilities:

1. Software Engineer
2. Django Back-End Developer
3. Data Engineer
4. Django or Python Developer
5. Application Reliability Engineer
6. Full-Stack Developer

Python Salary

The average salary (Source) for a Software Developer with Python skills in India is Rs 547,128.

  1. Why do we need Python?
  2. Program structure of Python.
  1. Python Installation.
  2. Execution Types.
  3. What is an interpreter?
  4. Interpreters vs Compilers.
  5. Using the Python Interpreter.
  6. Interactive Mode.
  7. Running python files.
  8. Working with Python shell.
  9. Multiple programming ways of python.

  1. Types of Operator.
  2. Python Arithmetic Operators.
  3. Python Comparison Operators.
  4. Python Assignment Operators.
  5. Python Bitwise Operators.
  6. Python Logical Operators.
  7. Python Membership Operators (in, not in).
  8. Python Identity Operators (is, is not).
  9. Python Operators Precedence.
  10. Python Identifier
  11. Python Keywords
  12. Essence of variable

Data Types

  1. Python Numbers.
  2. Python Strings.
  3. Accessing Values in Strings.
  4. String Special Operators.
  5. String Formatting Operator.
  6. Triple Quotes.
  7. Built-in String Operations.
  8. Interview Question(s) Discussion
Lists
  1. Accessing Values in Lists.
  2. Updating Lists.
  3. Delete List Elements.
  4. Basic List Operations.
  5. Indexing, Slicing, and Matrixes.
  6. Built-in List Functions & Methods.

  7. Tuples
  8. Accessing Values in Tuples.
  9. Updating Tuples.
  10. Basic Tuples Operations.
  11. Indexing, Slicing, and Matrixes.
  12. Built-in Tuple Functions.

  13. Sets and Dictionaries
  14. Creating set and Dictionary.
  15. Processing with sets and Dictionary.

  16. Loops and Decision Making
  17. if statements.
  18. if...else statements.
  19. nested if statements.
  20. while loop.
  21. for loop.
  22. nested loops .
  23. Loop Control Statements.
  24. break statement.
  25. continue statement.
  26. pass statement.

  27. Functions
  28. Defining a Function.
  29. Calling a Function.
  30. Pass by reference vs value.
  31. Function Arguments.
  32. Required arguments.
  33. Keyword arguments.
  34. Default arguments.
  35. Variable-length arguments.
  36. The return Statement.
  37. Scope of Variables.
  38. Global vs. Local variables.
  39. Problem Discussion
  40. Interview Question(s) Discussion

  1. Basic OOPs Concept.
  2. Creating class in Python.
  3. Documented String.
  4. Private Identifier.
  5. Constructor.
  6. Inheritance.
  7. Polymorphism.
  8. Python Modules and Packages.
  9. Framework vs Packages.
  10. Why are modules used?
  11. Creating modules.
  12. The import Statement.
  13. The from...import Statement.
  14. The from...import * Statement.
  15. Namespaces and Scoping.
  16. The dir( ) Function.
  17. The globals() and locals() Functions.
  18. The reload() Function.
  19. The dir( ) Function.
  20. Packages in Python.
  21. Decorator, Iterator and Generator.
  22. Anonymous Function.
  23. Lambda.
  24. Map.
  25. Filter.
  26. Reduce.

  1. Opening Text File.
  2. Working with a File on Python.
  3. The open function.
  4. The file object attributes.
  5. close() method.
  6. write() method.
  7. read() method.
  8. Reading files.
  9. Renaming & deleting files.
  10. Writing into a file.
  11. remove() method.
  12. Working around with directories.

Database Connection
  1. Download and Install MySQL Workbench.
  2. Creating the connection string for Mysql with python.
  3. Reading and processing table from python.
  4. Playing around SQL’s from python.

  1. Standard exceptions.
  2. Assertions in Python.
  3. The assert Statement.
  4. What is Exception?
  5. Handling an exception.
  6. The except Clause with No Exceptions.
  7. The except Clause with Multiple Exceptions.
  8. The try-finally Clause.
  9. Argument of an Exception.
  10. Regular Expression.
  11. Powerful Utilities.
  12. Multithreading.
  13. List Comprehensive.
  14. Shallow and Deep Copy.
  15. Interview Question(s) Discussion

  1. Introduction
  2. Components and Events
  3. Adding a Button
  4. Entry Widgets
  5. Text Widgets
  6. Check buttons

  1. Class and threads
  2. Multi-threading
  3. Synchronization
  4. Threads Life Cycle
  5. Use Cases
  1. Importing pandas,numpy and matplotlib libraries.
  2. Creating arrays,series,dataframes.
  3. Processing with dataframes and Series.
  4. Reading csv,xls files using pandas inbuilt-functions.
  5. Data Extraction
  6. Realtime Projects
Instructor
Python Trainer

A dynamic and self - motivated Trainer and System Administrator. Aspiring for a Bright and challenging career in the field of Training and Networking Technology, which could enable me to upgrade myself with emerging trends and technologies to benefits of the professional growth and accomplishment of organizational goals.

Student Reviews

Course Features

  • Duration: 40 Hours
Fees: ₹ 8999

Quick Enquiry