Python

Python is a high-level, interpreted programming language that is widely known for its simplicity, readability, and versatility. It is used in a wide range of applications, from web development to data science, automation, artificial intelligence, and more. Python’s design philosophy emphasizes code readability, and its syntax allows developers to express concepts in fewer lines of code compared to languages like Java or C++.

Training Highlights:

  •  Python Core
  •  String Objects and collections
  •  Tuples, Set, Dictionaries & Functions
  •  OOPS concepts & Working with Files
  •  Modules, Exception Handling & Database Programming
  •  Flash and Api’s
  •  Visualisation
  •  Pythonpandas
  •  Python Numpy
  •  Exploratory Data Analysis

Council for Inclusive Development

24x7 LIVE Online Server (Lab) with Real-time Databases. Course includes ONE Real-time Project.

Technical FAQs & Mastery Modules

1. String object basics
2. String methods
3. Splitting and Joining Strings
4. String format functions
5. List object basics
6. List methods
7. List as stack and Queues
8. List comprehensions

1. Tuples, Sets, Dictionary Object basics, Dictionary
2. Object methods, Dictionary View Objects.
3. Functions basics, Parameter passing, Iterators
4. Generator functions
5. Lambda functions
6. Map, Reduce, filter functions

1. OOPS basic concepts
2. Creating classes and Objects
3. Inheritance, Multiple Inheritances
4. Working with files
5. Reading and writing files
6. Buffered read and write
7. Other File methods

1. Using Standard Module
2. Creating new modules
3. Exceptions Handling with Try-except
4. Creating, inserting and retrieving Table
5. Updating and deleting the data.
6. FILE

1. Flask introduction
2. Flask Application
3. Open linkFlask
4. App RoutingFlask
5. URLBuildingFlask
6. HTTP MethodsFlask
7. TemplatesFlask

1. Matplotlib
2. Seaborn
3. Plotly
4. Cufflinks

1. Python Pandas - Series
2. Python Pandas -DataFrame
3. Python Pandas - Panel
4. Python Pandas - BasicFunctionality
5. Function Application
6. Python Pandas -Reindexing
7. Python Pandas - Iteration
8. Python Pandas - Sorting
9. Working with Text Data
10. Options & Customization
11. Indexing & Selecting Data
12. Statistical Functions
13. Python Pandas - Window Functions
14. Python Pandas - Date Functionality
15. Python Pandas –Time delta
16. Python Pandas – Categorical Data
17. Python Pandas - Visualization
18. Python Pandas – IOTools

1. NumPy - Ndarray Object
2. NumPy - Data Types
3. NumPy – Array Attributes
4. NumPy - Array Creation Routines
5. NumPy - Array from Existing Data
6. Array from Numerical Ranges
7. NumPy - Indexing & Slicing
8. NumPy - Advanced Indexing
9. NumPy – Broadcasting
10. NumPy - Iterating Over Array
11. NumPy - Array Manipulation
12. NumPy - Binary Operators
13. NumPy - String Functions
14. NumPy - Mathematical Functions
15. NumPy - Arithmetic Operations
16. NumPy - Statistical Functions
17. Sort, Search & Counting Functions
18. NumPy - Byte Swapping
19. NumPy - Copies &Views
20. NumPy - Matrix Library
21. NumPy- Linear Algebra

1. Feature Engineering and Selection
2. Building Tuning and Deploying Models
3. Analyzing Bike Sharing Trends
4. Analyzing Movie Reviews Sentiment
5. Customer Segmentation and Effective Cross Selling
6. Analyzing Wine Types and Quality
7. Analyzing Music Trends and Recommendations
8. Forecasting Stock and Commodity Prices

Why Choose Python

  •  100% Real-Time and Practical
  •  Concept wise FAQs
  •  TWO Real-time Case Studies, One Project
  •  24/7 LIVE Server Access
  •  Realtime Project FAQs
  •  Course Completion Certificate
  •  Placement Assistance
  •  Job Support