Useful Python Resources
History of Python
Job aspects after Python Training
Local Environment Setup
Setting up Environment Path
Integrated Development Environment
Lines and Indentation
Assigning Values to Variables
Standard Data Types
Nested IF statements
Number type conversion
Random number function
String special operators
Built in string methods
Basic list operations
Built in functions and methods
Basic tuple operations
Built in functions
Built in Dictionary Functions and Methods
Pass by reference and value
Scope of variables
Opening a file in different modes
File object attributes
Writing into a file
The except clause with no exceptions
The try-finally clause
Raising an exceptions
Destroying Objects (Garbage Collection)
Q. Why I should learn Python?
Learning Python has a lot of benefits.
If it’s the first time you are learning a programming language, Python is one of the easiest. With so many libraries and functions available, coding reduces to a great extent for someone who is a beginner.
Python can branch into so many fields.
- You can take up Django and go into web application development.
- Or learn Spark or Data Science with Python and move into the Big Data or Machine Learning field.
- Or learn Selenium with Python and move into the testing domain
- Or learn AWS with Python and start exploring cloud computing.
The Documentation and Support for python is massive. So learning becomes easy.
Q. Are most Python jobs about machine learning and big data?
Not at all!
Python has wide range of usage and is not just limited to Machine Learning and Big Data.
Python can also be used for Testing, Scripting, Web Application Development, Cloud Computing, Log Processing.
Q. How much hands-on will I get during the course ?
- More than 200 programs written in classroom
- 120+ practice problems
- 2 industry level projects
Undoubtedly, we provide one of the best python classroom training. And, also best python online training