Best Python Training Institute In Delhi
Python is a general purpose, dynamic, high level and interpreted programming language. It supports Object Oriented programming approach to develop applications. It is easy to learn yet powerful and versatile scripting language which makes it attractive for Application Development
Duration - 3 Months
It is widely used in data science for data analytics. It is used on the server side. Python is rather widely used for scripting. This includes various testing / building / deployment / monitoring frameworks, scientific apps and just quick scripts. Python is rather widely used as embedded language.
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
DTA Python Course Content
- What is python Programming languages
- Python Features
- Python History
- Python Application
- Python Install
- Python path
- First Program in Python
- Keywords
- Variable
- Identifiers and Literals
- Arithmetic Operators
- Relational Operators
- Assignment Operators
- Logical Operators
- Bitwise Operators
- String concatenation Operator(+)
- String Replication Operator(*)
- If
- If-else
- Else-if
- Nested if
- For loop
- While loop
- Do-while loop
- Break
- Continue
- Data Abstraction
- Encapsulation
- Class
- Object
- Inheritance
- Polymorphism
- Input Stream
- Output Stream
- Class and Object
- Data Abstraction
- Encapsulation
- Inheritance
- Polymorphism
- What is String in python
- String concatenation Operator(+)
- String Replication Operator(*)
- User Define Function
- System Define Function(Built in)
- Mathematical Function
- Exception Handling
- Custom Exception
- Managing environments
- Managing packages
- Managing channels
- Managing application
- Introduction
- Environment
- Ndarray Object
- Data Types
- Array Attributes
- Array Creation Routines
- Array from Existing Data
- Array From Numerical Ranges
- Indexing & Slicing
- Advanced Indexing
- Broadcasting
- Iterating Over Array
- Array Manipulation
- Binary Operators
- String Functions
- Mathematical Functions
- Arithmetic Operations
- Statistical Functions
- Sort, Search & Counting Functions
- Byte Swapping
- Copies & Views
- Matrix Library
- Linear Algebra
- Matplotlib
- Histogram Using Matplotlib
- I/O with NumPy
- Introduction
- Environment Setup
- Introduction to Data Structures
- Series
- DataFrame
- Panel
- Basic Functionality
- Descriptive Statistics
- Function Application
- Re-indexing
- Iteration
- Sorting
- Working with Text Data
- Options & Customization
- Indexing & Selecting Data
- Statistical Functions
- Window Functions
- Aggregations
- Missing Data
- GroupBy
- Merging/Joining
- Concatenation
- Date Functionality
- Time-delta
- Categorical Data
- Visualization
- IO Tools
- Sparse Data
- Caveats & Gotchas
- Comparison with SQL
- Data Science Modules
