Course Overview:
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing, Cloud, Machine Learning, Cyber Security and many more.
python is easy to learn and easy to understand, and it’s popular for its easy programming syntax. python is the fastest-growing language in IT the industry. This course helps you to understand basic to advanced programming in Python. In this course, we learn about core programming, oops concept, web frame, HTML, CSS, Django and Python CGI, Linux and Industry use cases.
Course Duration: 45 Hours
1. Introduction of python
- Installation and Working with Python
- Understating with IDE
- Understanding Python variables
- Python basic Operators
- Understanding Python blocks
2. Python Data Types
- Declaring and using Numeric data types: int, float, complex
- Using string data type and string operations
- Defining list and list slicing
- Use of Tuple data type Exploratory Data Analysis (EDA)
3. Python Program Flow Control
- Conditional blocks using if, else and elif
- Simple for loops in python
- For loop using ranges, string, list and dictionaries
- Use of while loops in python
- Loop manipulation using pass, continue, break and else
- Programming using Python conditional and loops block
4. Python Functions, Modules and Packages
- python codes using functions
- python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Powerful Lambda function in Python
- Programming using functions, modules and external packages
5. Python String, List and Dictionary Manipulations
- Building blocks of Python programs
- Understanding string in build methods
- List manipulation using in-build methods
- Dictionary manipulation
- Programming using string, list and dictionary in build functions
6. Python File Operation
- Reading config files in python
- Writing log files in PythonPython
- Understanding read functions, read(), readline() and readlines()
- Understanding write functions, write() and write lines()
- Manipulating file pointer using seek
- Programming using file operations
7. Python Object Oriented Programming – Oops
- Concept of class, object and instances
- Constructor, class attributes and destructors
- Real-time use of class in live projects
- Inheritance, overlapping and overloading operators
- Adding and retrieving dynamic attributes of classes
- Programming using Oops support
8. Python Regular Expression
- Powerful pattern matching and searching
- Power of pattern searching using regex in Python
- Real-time parsing of networking or system data using regex
- Password, email, and URL validation using regular expression
- Pattern-finding programs using regular expression
9. Python Exception Handling
- Avoiding code breaks using exception handling
- Safeguarding file operation using exception handling
- helping developer with error code
- Programming using Exception handling
10.Python Database Interaction
- SQL Database connection using Python
- Creating and searching tables
- Reading and storing config information on the database
- Programming using a database connection
11.Working Python Web Framework
- Learn HTML, CSS, AJAX, JS
- Learn CGI Script
- Learn Django Framework
