Python In 11 Hours - Complete Tutorial For Beginners
Master Python by learning all the core concepts (List,Dictionary,Functions,Classess,Modules,Pandas,Loops etc)
Python In 11 Hours - Complete Tutorial For Beginners free download
Master Python by learning all the core concepts (List,Dictionary,Functions,Classess,Modules,Pandas,Loops etc)
Learn Python In The Best Way .
A course to make you completely familiar with Python
Become a python programmer and learn all python skills needed for the IT job.
Complete the course and crack the python interviews and get placed with good salary.
The course is 10 hours long and built in such a way that once you complete the course you will no longer need to search the internet for python related stuffs. Because everything is covered in this course for you.
Chapters and Contents
1. Control Flow Statements :
Learn what are control flow statements and loops. Do sample programs with loops and control flow statements.
2. Lists :
All operations on python lists
3. Strings :
All operations on strings and string formatting
4. Dictionary :
All operations on dictionary
5. Tuple : All tuple operations
6. Set : All set operations
7. Functions
Writing and calling python functions
Type of functions in python
lambda functions
User defined vs built-in functions
8. Object oriented programming (OOPs)
Creating classes
Inheritance
Types of inheritance
Method overriding
9. Exception handling
What are exceptions
Handling exceptions
Checking for multiple exceptions
Creating our own exception
10. Modules and packages and libraries
What is a module,package,and library
Built-in vs User defined modules
Built in modules in detail
11. Date and time operations
Date and time operations using datetime module
12. File operations
All file operations - reading ,writing, appending
13. Iterators and Generators
14. Regular Expressions -Regex
How to use regex in python - re module
regex practical applications - finding email,phone numbers and other values from strings
15. Python and CSV Files
Reading data from CSV Files
Writing data to the CSV File
16. Python pandas - widely used library for data analysis
Creating dataframe
All operations on dataframe
reading and writing to csv and excel
data analysis operations
17. Python and MySql
Create database
add data to table
read , update and delete data from database table.
