250.00 Dollar US$ Python Course Fremont

Published date: November 8, 2020
  • Location: Fremont

Want to learn Python for boosting your career?
Are you Looking for a job change to Data Science or Machine Learning roles?
Are you looking for help with college assignments or tution classes in Python or DataScience?
Are you looking for job support/ Project consultations?

If you have any of the above questions, we are here for you. Feel free to contact us for all queries.
This course is taught over 8 sessions, 2 sessions per week, 2 hours per session(16 hours course).

Pre-requisites
The 16-hour instructor led online Python course doesn’t have any prerequisites. Hence, anyone can get started with the Python 3 Tutorial almost instantly and reap in the benefits that it has to offer.

Fully Hands-on Training - We support training should be more practical apart from theoretical classes. So, we always give you hands-on training. We will share class videos, notes with you after every session.

Course Outline
1. Getting Started with Python
Python Overview
Python IDE's
Software Installation
Anaconda Prompt, Spyder - How to use
Installation Of Python Libraries
Printing Strings or Numbers
Identifiers
Reserved words
Indentation
Multi line statements
Quotations
Comments
Assigning values to variables
Reading input from console
2. Data Types in Python
Number
String
Working with String
List
Working with List
Tuple
Working with Tuple
Dictionary
Data Type Conversion
Sting Formatting
3. Operators
Arithmetic Operators
Comparison Operators
Assignment Operators
Logical Operators
Membership Operators
4. Conditional Statements and Loops
If Else
Nested If statements
While Loop
For Loop
Loop Control Statements - break, continue
5. Numbers, Strings
Math Functions
Random number functions
Escape Characters
String Methods
6. Lists, Tuple, Dictionary, Set
Delete elements in list, tuple, dictionary
List methods
Tuple methods
Dictionary methods
Sets and its methods
7. Date Time
working with dates
datetime variables to strings
string formatted dates to datetime variables
Timedelta
Calendar methods
8. Functions, Modules
Function definition
Function Arguments
Scope Of Variables
Lambda function
Modules
9. Files
Modes in file
Open, read, write
File functions
OS methods
10. Regular Expressions
11. OOPs Concepts
Class
Object
Constructor
Class variables, instance variables
Class methods, instance methods, static methods
Inheritance
Method overriding
Multiple Inheritance
Multilevel inheritance
Encapsulation
12. Sending mail Alerts from Python
13. Connecting to Database with Python

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