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Python Training in Nepal

Python & Django Training in Kathmandu, Nepal

2 Months Python Developer

Python Training in Nepal

Broadway Infosys offers special Python training courses in Nepal as it is considered as one of the popular programming languages that is attracting large pool of developers worldwide. The giants like Google, Yahoo and Amazon are using Python for their special projects and this has further inspired many developers to learn this programming language in Nepal

Course Highlights

Python training course has been designed for aspiring developers with some level or no prior programming experience. The courses range from basic to advanced level. The course is all about familiarizing the trainees with simpler and smarter ways to develop interactive web applications using Python. At the end of the training, students need to undertake a project work to develop interactive application using Python.

Benefits of Python Training at Broadway Infosys Nepal

  • Highly qualified and experienced Python instructors
  • Availability of sufficient training resources
  • Several Python developers trained at Broadway already working in top companies
  • Proficiency in dealing with Big Data analytics
  • Regular interaction among growing community of Python developers
  • Familiarizing with code efficiency in developing wide range of applications using Python

Syllabus Outline

Python Training course covers the following (but not limited to) syllabus:

  • Introduction to Python
  • Understanding of variables and identifiers, standard types and operators
  • Decision making, sequential data types, dictionaries, loops and functions
  • Modules and packages, object oriented Python
  • File processing and Exception Handling
  • Advanced Python
  • Project work on Python
  • Project Evaluation and Feedback from experts

As the leading companies around the world have started using Python for their projects the developers with Python skills can expect plenty of opportunities to work in innovative and high paying projects. Please register yourself for our upcoming Python training session to expand your programming portfolio. Our instructors are excited to guide you along the journey of Python Programming.

Courses Outline :- Python Training in Nepal
  • Environment setup
  • The Python programming language
  • What is the program?
  • What is debugging?
  • Values and types
  • Variables
  • Variable names and keywords
  • Operators and operands
  • Expressions and statements
  • Interactive mode and script mode
  • Order of operations
  • String operations
  • Comments
  • Debugging
  • Function calls
  • Type conversion functions
  • Math functions
  • Composition
  • Adding new functions
  • Definitions and uses
  • Flow of execution
  • Parameters and arguments
  • Variables and parameters are local
  • Stack diagrams
  • Fruitful functions and void functions
  • Why functions?
  • Importing with from
  • Debugging

 

  • Modulus operator
  • Boolean expressions
  • Logical operators
  • Conditional execution
  • Alternative execution
  • Chained conditionals
  • Nested conditionals
  • Recursion
  • Stack diagrams for recursive functions
  • Infinite recursion
  • Keyboard input
  • Debugging

 

  • Return values
  • Incremental development
  • Composition
  • Boolean functions
  • More recursion
  • Leap of faith
  • One more example
  • Checking types
  • Debugging
  • Multiple assignments
  • Updating variables
  • The while statement
  • Break
  • Square roots
  • Algorithms
  • Debugging

 

  • A string is a sequence
  • Len
  • Traversal with a for loop
  • String slices
  • Strings are immutable
  • Searching
  • Looping and counting
  • String methods
  • The in operator
  • String comparison
  • Debugging

 

  • A list is a sequence
  • Lists are mutable
  • Traversing a list
  • List operations
  • List slices
  • List methods
  • Map, filter and reduce
  • Deleting elements
  • Lists and strings
  • Objects and values
  • Aliasing
  • List arguments
  • Debugging
  • Dictionary as a set of counters
  • Looping and dictionaries
  • Reverse lookup
  • Dictionaries and lists
  • Memos
  • Global variables
  • Long integers
  • Debugging
  • Tuples are immutable
  • Tuple assignment
  • Tuples as return values
  • Variable-length argument tuples
  • Lists and tuples
  • Dictionaries and tuples
  • Comparing tuples
  • Sequences of sequences
  • Debugging
  • Persistence
  • Reading and writing
  • Format operator
  • Filenames and paths
  • Catching exceptions
  • Databases
  • Pickling
  • Pipes
  • Writing modules
  • Debugging
  • User-defined types
  • Attributes
  • Rectangles
  • Instances as return values
  • Objects are mutable
  • Copying
  • Debugging

 

  • Object-oriented features
  • Printing objects
  • Another example
  • A more complicated example
  • The init method
  • The ­­­__str__ method
  • Operator overloading
  • Type-based dispatch
  • Polymorphism
  • Debugging
  • Card objects
  • Class attributes
  • Comparing cards
  • Decks
  • Printing the deck
  • Add, remove, shuffle and sort
  • Inheritance
  • Class diagrams
  • Debugging
  • Data encapsulation
  • Advanced Strings, Date & Time
  • Python os, re, sys
  • GUI Basics: Tkinter, Tcl/Tk
  • Comprehensions: List, Dictionary
  • CSV, JSON, XML, SQLite with Python
  • Data Science/Visualization: pandas, matplotlib
  • Jupyter NoteBook

Brief Introduction to Python and Django basics

  • Testing Setup
  • Creating Django Project
  • Creating a Django Application
  • Creating a View
  • Mapping URLs
  • Basic Workflows
  • Using Templates
  • Configuring the Templates Directory
  • Dynamic Paths
  • Serving Static Media
  • Configuring the Static Media Directory
  • Static Media Files and Templates
  • The Static Media Server
  • Telling Django About Database
  • Creating Models
  • Creating and Synchronizing the Database
  • Generated SQL
  • Django Models and the Django Shell
  • Configuring the Admin Interface
  • Creating a Population Script
  • Basic Workflow: Data Driven Pages
  • Importing Required Models
  • Modifying the Index View
  • Modifying the Index Template
  • Creating a Details Page
    • URL Design and Mapping
    • Category Page Workflow
    • Category View Category Template
    • Parameterized URL Mapping
    • Modifying the Index View and Template
  • Working with Forms
  • User Authentication
  • Setting up Authentication
  • The User Model
  • Additional User Attributes
  • Creating a User Registration View and Template
  • AJAX, Django and Jquery

 

Project Work on Advanced Python Concepts or Django

Project Evaluation and Feedback.

Deploying Project