| Item type | Current library | Collection | Call number | Vol info | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|---|
MBA Referance
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St. Xavier's University, Kolkata Reference Section | Reference | R 005.133 MEH(PYT) (Browse shelf(Opens below)) | S.X.U.K | 5712 | Not For Loan | UM5712 | |
MBA - Masters on Business Administration
|
St. Xavier's University, Kolkata Lending Section | 005.133 MEH(PYT) (Browse shelf(Opens below)) | S.X.U.K | 5713 | Available | M5713 | ||
MBA - Masters on Business Administration
|
St. Xavier's University, Kolkata Lending Section | 005.133 MEH(PYT)C1 (Browse shelf(Opens below)) | S.X.U.K | 5714 | Available | M5714 | ||
MBA - Masters on Business Administration
|
St. Xavier's University, Kolkata Lending Section | 005.133 MEH(PYT)C2 (Browse shelf(Opens below)) | S.X.U.K | 5715 | Available | M5715 | ||
MBA - Masters on Business Administration
|
St. Xavier's University, Kolkata Lending Section | 005.133 MEH(PYT)C3 (Browse shelf(Opens below)) | S.X.U.K | 5716 | Available | M5716 |
Browsing St. Xavier's University, Kolkata shelves, Shelving location: Lending Section Close shelf browser (Hides shelf browser)
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| 005.133 MEH(PYT) Python programming | 005.133 MEH(PYT)C1 Python programming | 005.133 MEH(PYT)C2 Python programming | 005.133 MEH(PYT)C3 Python programming | 005.133 MIT(PRO) Programming in C : a practical approach | 005.133 MIT(PRO)C1 Programming in C : a practical approach | 005.133 MIT(PRO)C2 Programming in C : a practical approach |
Getting Started with Python
Python Basics: Operators & Decision Control Statements
Data Structures in Python
Functional Programming in Python
Object-Oriented Programming (OOP) in Python
Errors and Exceptions
Modules and Packages
Introduction to Graphical User Interface
File Handling
Debugging & Testing, Continuous Integration
Concurrency and Parallelism
Working with database
Networking in Python
Optimizing Python Code
Packaging and Distributing Python Code
Deployment and Cloud Computing
Best Practices in Python
Python Design Patterns
Data Analytics in Python
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