Python Programming

About this Course

Python is a versatile and popular programming language known for its simplicity and readability. It is widely used for various purposes such as web development, data analysis, artificial intelligence, and automation. Python's extensive standard library and large community make it easy to find solutions to common programming problems.

One of Python's key strengths is its clean syntax, which allows developers to write concise and expressive code. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Python provides a wide range of libraries and frameworks, such as Django and Flask for web development, NumPy and pandas for data analysis, and TensorFlow and PyTorch for machine learning. These resources make it easier to develop complex applications quickly.

Python's interpreted nature facilitates rapid development and testing, making it an excellent choice for prototyping and scripting. Its cross-platform compatibility allows code to run seamlessly on different operating systems.

Overall, Python's simplicity, flexibility, and vast ecosystem make it a preferred language for beginners and experienced developers alike, enabling them to build robust and efficient solutions for various domains.

1. Introduction to Python: Understand the fundamentals of Python programming language and its syntax.

2. Variables and Data Types: Learn how to define variables and work with different data types such as integers, floats, strings, and booleans.

3. Control Flow: Explore concepts like if-else statements, loops (for and while), and conditional expressions.

4. Functions: Understand the concept of functions, how to define and call them, and their role in modularizing code.

5. Data Structures: Learn about lists, tuples, and dictionaries and how to manipulate and access data stored in these structures.

6. File Handling: Discover how to read from and write to files using Python.

7. Exception Handling: Learn how to handle errors and exceptions gracefully within your programs.

8. Object-Oriented Programming (OOP): Get introduced to OOP principles, including classes, objects, inheritance, and polymorphism.

9. Modules and Libraries: Explore the vast range of Python libraries and how to import and utilize them in your programs.

10. Basic Input and Output: Learn how to take user input, display output, and format data using input/output functions.

 



August October

Start Date : 2023-08-05

End Date : 2023-10-22

Place : Jadavpur

Timing : 11am -12.30pm

SKILLS YOU WILL GAIN

  • Data Science
  • Python Programming
  • Data Analysis
  • Pandas
  • Numpy

Trainer

Senior software developer

Sadrul Molla

Senior software developer at Slice, with a background in computer science from Jadavpur University.

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Assistant Professor

Subhadeep Maiti

M.Tech in Computer Technology, JU Assistant Professor (Department of CSC) in JLD Engineering College

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Syllabus

1. Introduction to Python
   - Overview of Python
   - Installation and setup
   - Running Python programs

2. Variables and Data Types
   - Variables and assignment
   - Numeric data types (integers, floats)
   - Strings and string operations
   - Booleans and logical operators

3. Control Flow
   - Conditional statements (if, elif, else)
   - Looping structures (for, while)
   - Break and continue statements

4. Data Structures
   - Lists and list operations
   - Tuples
   - Dictionaries and dictionary operations
   - Sets

5. Functions
   - Defining and calling functions
   - Parameters and arguments
   - Returning values
   - Scope and variable visibility

6. File Handling
   - Reading and writing text files
   - Working with file objects
   - Error handling and exception handling

7. Modules and Packages
   - Importing modules
   - Creating and using packages
   - Exploring built-in modules

8. Object-Oriented Programming (OOP)
   - Introduction to OOP concepts
   - Classes and objects
   - Inheritance and polymorphism
   - Encapsulation and abstraction

9. Error Handling and Debugging
   - Handling exceptions
   - Using try-except blocks
   - Debugging techniques

10. Introduction to Libraries and Frameworks
    - Popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
    - Web frameworks (e.g., Django, Flask)
    - Data science libraries (e.g., TensorFlow, PyTorch)

 

Reviews

4.3


7 reviews
5 stars
42%
4 stars
42%
3 stars
14%
2 stars
0%
1 star
0%

Top Comments...

mukul

July 16, 2023 at 07:32 am

Very good

SARA MUKHERJEE

June 17, 2023 at 09:16 am

An excellent course for those who want to boost their programming abilities on Python. It tackles diverse and challenging problems, for you to practice and round out every concept. Highly recommended!

SAYAN PRADHAN

June 17, 2023 at 09:04 am

Course presentation is good. Topic selection is good. Selected Strings, Lists, tuples and Dictionaries, using these program logic can be build. Examples are good and interesting. assignments are good.

ARITRA RAY

June 17, 2023 at 07:18 am

This course was really helpful in developing my coding skills in python.The exercises helped me to test my knowledge .Overall it was a really good for people like me who are just beginning with python

SHUVAM DAS

June 17, 2023 at 07:09 am

the coding videos are relatively short and concise while the questions are extremely hard and does not match to the actual content. not really a buiggener friendly

ANKANA PARI

June 17, 2023 at 06:56 am

I think the videos need some more information or at least when we do the practices we can get more feedback from the instruction in the forums. A better way to lean the concepts, syntax and semantics

Akash Ahammed

June 13, 2023 at 07:03 pm

Great learning experience with expert mentors and faculties.

FAQ

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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  • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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