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Python training Sector 17 Chandigarh, Python training institutes Sector 17 Chandigarh

List of Best Python training Sector 17 Chandigarh, Python training institutes Sector 17 Chandigarh, Python training centers Sector 17 Chandigarh with address, Phone numbers, course fee, student reviews and training course learning at Sector 17 area in Chandigarh City. As of June 24, 2018, We have total of 2 Python training institutes in and around also near to Sector 17 in Chandigarh.



training institutes JK Softtech Solutions
Chandigarh - Sector 17
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training institute
Address: SCO: 80-81-82, Sector 17 Chandigarh-160017
JK Softtech Solutions provides placement Python training in Sector 17 , Python Scripting training classes at Sector 17.
training institutes Texplore Laboratories
Chandigarh - Sector 17
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training institute
Address: SCO 80-81-82, Top floor Setor 17D, Chandigarh 160017
Texplore Laboratories provides placement Python training in Sector 17 , Python Scripting training classes at Sector 17.
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Python related Training courses in sector-17







Python Placement training, Course fees, Trainer Profile in sector-17

JK Softtech Solutions institute located at sector-17 in chandigarh offers 6 Weeks of Python training course in Chandigarh with Basic Placement Support.

The trainers for Python are industry experts who have 10 years of working experience in the field of python scripting and programming. The best way for any student to know about the trainer is to atte


 Whetting Your Appetite
 Using the Python Interpreter
o Invoking the Interpreter
 Argument Passing
 Interactive Mode
o The Interpreter and Its Environment
 Source Code Encoding
 An Informal Introduction to Python
o Using Python as a Calculator
 Numbers
 Strings
 Lists
o First Steps Towards Programming
 More Control Flow Tools
o if Statements
o for Statements
o The range() Function
o break and continue Statements, and else Clauses on Loops
o pass Statements
o Defining Functions
o More on Defining Functions
 Default Argument Values
 Keyword Arguments
 Arbitrary Argument Lists
 Unpacking Argument Lists
 Lambda Expressions
 Documentation Strings
 Function Annotations
o Intermezzo: Coding Style
 Data Structures
o More on Lists
 Using Lists as Stacks
 Using Lists as Queues
 List Comprehensions
 Nested List Comprehensions
o The del statement
o Tuples and Sequences
o Sets
o Dictionaries
o Looping Techniques
o More on Conditions
o Comparing Sequences and Other Types
 Modules
o More on Modules
 Executing modules as scripts
 The Module Search Path
 �Compiled� Python files
o Standard Modules
o The dir() Function
o Packages
 Importing * From a Package
 Intra-package References
 Packages in Multiple Directories
 Input and Output
o Fancier Output Formatting
 Old string formatting
o Reading and Writing Files
 Methods of File Objects
 Saving structured data with json
 Errors and Exceptions
o Syntax Errors
o Exceptions
o Handling Exceptions
o Raising Exceptions
o User-defined Exceptions
o Defining Clean-up Actions
o Predefined Clean-up Actions
 Classes
o A Word About Names and Objects
o Python Scopes and Namespaces
 Scopes and Namespaces Example
o A First Look at Classes
 Class Definition Syntax
 Class Objects
 Instance Objects
 Method Objects
 Class and Instance Variables
o Random Remarks
o Inheritance
 Multiple Inheritance
o Private Variables
o Odds and Ends
o Exceptions Are Classes Too
o Iterators
o Generators
o Generator Expressions
 Brief Tour of the Standard Library
o Operating System Interface
o File Wildcards
o Command Line Arguments
o Error Output Redirection and Program Termination
o String Pattern Matching
o Mathematics
o Internet Access
o Dates and Times
o Data Compression
o Performance Measurement
o Quality Control
o Batteries Included
 Brief Tour of the Standard Library � Part II
o Output Formatting
o Templating
o Working with Binary Data Record Layouts
o Multi-threading
o Logging
o Weak References
o Tools for Working with Lists
o Decimal Floating Point Arithmetic
 Interactive Input Editing and History Substitution
o Tab Completion and History Editing
o Alternatives to the Interactive Interpreter
 Floating Point Arithmetic: Issues and Limitations
o Representation Error



Python course Content / syllabus at sector-17, chandigarh.

We gathered most widely used Python course content used by training institutes in sector-17,chandigarh. The Python course syllabus covers basic to advanced level and it may vary based on Python training classes offered in sector-17.


1 Introduction
2 Why do we need Python?
3 Program structure
4 Execution steps
5 Interactive Shell
6 Executable or script files
7 User Interface or IDE
8 Memory management and Garbage collections
9 Object creation and deletion
10 Object properties
11 Data Types and Operations
12 Numbers
13 Strings
14 List
15 Tuple
16 Dictionary
17 Other Core Types
18 Statements and Syntax
19 Assignments, Expressions and prints
20 If tests and Syntax Rules
21 While and For Loops
22 Iterations and Comprehensions
23 File Operations
24 Opening a file
25 Using Files
26 Other File tools
27 Functions
28 Function definition and call
29 Function Scope
30 Arguments
31 Function Objects
32 Anonymous Functions
33 Modules and Packages
34 Module Creations and Usage
35 Module Search Path
36 Module Vs. Script
37 Package Creation and Importing
38 Classes
39 Classes and instances
40 Classes method calls
41 Inheritance and Compositions
42 Static and Class Methods
43 Bound and Unbound Methods
44 Operator Overloading
45 Polymorphism
46 Exception Handling
47 Default Exception Handler
48 Catching Exceptions
49 Raise an exception
50 User defined exception
51 Advanced Concepts
52 Decorators
53 Generators
54 Iterators
55 Co-routines



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