Basic to Advance Python -job oriented course in Bangalore
Basic to Advance Python course is designed for freshers looking for career break into IT industry and Automation testers and developers to increase career prospect and scope.
The course is top rated and considered best python training course in bangalore.
The course is taught by renowned and best instructor from IT product MNC’s .
Why Learn Python:
- When Networking product companies work on unit testing framework ,python is the automatic choice.
- When product companies write third party component for specific purpose,they like python as it can be easily integrated with C++ and JAVA
- Python is the most popular language for Data Scientist as it is most widely used programming language among new generation,all data science library available and huge community to support.
Salary offered :
As there are huge shortage of data scientist and python skills across world,Python with data scientist are highest paid among developers.Freshers can earn 7-9 lakh with one or two years work experience.For experience of 7-9 years as data scientist ,salary can range between 25-40 lakh based on experience and knowledge.
Why Learn Python from Sniffer Search
Sniffer Search provide python training and course online and offline in bangalore . Python Training which is 100 percent job oriented course as per the course content,industry needs and job vacancy.Python job oriented training in Bangalore covers basic python to advance python like network programming,multi threading and project work of 15 hours on course.
About the instructor:Jamie Rahman have worked on C++and Python for 12 years and worked on some most advanced analytics based product. he can guide you on job prospect,resume preparation and interview cracking technique after the course completed.
Location of the training : We have online presence covering student from Bangalore,Mumbai,Channai,Pune,HYderabad etc for this course on Python.
We also have offline batch in Bangalore ,Kammanahalli and Kalyan Nagar
|1. Installing & Running Python Python 2.7 vs Python 3 Local Environment Setup(Linux) Installing Python on different Platforms(Windows and Linux) Python Interpreter and Python Interactive Shell Python IDE||00:00:00|
|Object Oriented Python||00:00:00|
|2. Introduction Python Overview Python Features Areas Of Application of Python Understanding More About Python Writing your First Python Program Interactive Mode Programming Script Mode Programming Dir and help: Getting help from the Python interpreter.|
|3. Python Syntax ,Keywords and Operators Python Identifiers Various Operators and Operators Precedence Reserved Words,Lines and Indentation Multi-Line Statements,Quotation in Python Comments in Python,Using Blank Lines Command Line Arguments Python Input/Output:Using the Print Function Getting Input from User Python Basic Data Types And Variables|
|4. Expressions, Statements, Variables Working With Numbers Working With Booleans Working with Strings String types and formatting Program to find duplicate characters in a String. Program to reverse a string Program to check if String is Palindrome program to remove a newline in Python|
|5. Python Data Types: List,Tuples,Dictionaries Python Lists,Tuples,Dictionaries Accessing Values Basic Operations Indexing, Slicing, and Matrixes Built-in Functions & Methods Exercises on List,Tuples And Dictionary Remove Duplicate from Lists Program to find the index of an item of a tuple|
|6. Making Decisions – if Statements The Relational Operators The Logical Operators Simple if Statement,if-else Statement if-elif Statement More Advanced If, ElIf & Else Processing|
|More Advanced If, ElIf & Else Processing 7. Loop Control Introduction To while Loops Count-Controlled while Loops Event-Controlled while Loops Using continuE,Using break Introduction To for Loops For loops with files,list,tuples and dictionaries|
|8. Iterators Understanding Iterators Using iter And next Iterators And Dictionaries Other Iterators 9. Functions And Scopes Introduction To Functions – Why Defining Functions Calling Functions Functions With Multiple Arguments Recursive Functions Function Objects,Generators,Decorators Anonymous Functions,Higher-Order Functions Scope ,Global Scope,Local Scope ,Nested Scope 10. Modules Using Built-In Modules User-Defined Modules Module Namespaces|
|11. File I/O Printing to the Screen Reading Keyboard Input Opening and Closing Files open Function,file Object Attributes close() Method ,Read,write,seek Rename,remove, Mkdir,chdir,rmdir 12. Error And Exceptional Handling Exception Handling,Assertions: The assert Statement What is Exception,Handling an exception The except Clause with No Exceptions ,the try-finally Clause Argument of an Exception,Raising an Exceptions User-Defined Exceptions|
|13. Classes And Objects Overview of OOP-Creating Classes Constructor and destructor,Static and instance variable Creating Instance Objects Built-In Class Attributes,Destroying Objects Class Inheritance,Overriding Methods Base Overloading Methods Overloading Operators,Data Hiding|
|14. Regular Expression Matching and Searching- match() and search() Functions Search and Replace Regular Expression Modifiers Regular Expression Patterns Non greedy repetition Automation with regular expression 15. Logging And Debugging Logging — Logging facility for Python Logger Objects,Logging Levels Creating Log files Python debugger- pdb 16. Writing Unit Testing Code|
|17. Multithreading Overview of Threading model Properties of Threads Creating Thread Using Threading Module Using queue with threads Synchronizing Thread|