Python Programming

Python Training in Kathmandu, Nepal

Duration: 1 Month ( 45 Hrs. )
Career: Python Developer
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Description

Python Training in Nepal

Broadway Infosys offers special Python training course 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.

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

Benefits of Python Training in Nepal

  • High demand of Python developers
  • Environment to prove oneself in a competitive environment
  • Quick results for projects that are popular in Nepal
  • Massive internship and job opportunities for up-and-coming Python developers

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

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.

Python Training - Outlines
    Python Programming Language
  • Basic Syntaxes

    • Environment setup
    • The python programming language
    • What is program?
    • What is debugging?
  • Variables, Expressions and Statements

    • 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
  • Functions

    • 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
  • Conditions and Recursion

    • 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
  • Fruitful Functions

    • Return values
    • Incremental development
    • Composition
    • Boolean functions
    • More recursion
    • Leap of faith
    • Checking types
    • Debugging
  • Iteration

    • Multiple assignments
    • Updating variables
    • The while statement
    • Break
    • Debugging
    • For loop
  • String

    • 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
  • Lists

    • 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
  • Dictionaries

    • Dictionary as a set of counters
    • Looping and dictionaries
    • Reverse lookup
    • Dictionaries and lists
    • Memos
    • Global variables
    • Long integers
    • Debugging
  • Tuples

    • 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
  • Set

    • Usage
    • Union, Difference
    • Available methods
  • Exception Handling

    • Introduction
    • Exceptions versus Syntax Errors
    • Raising an Exception
    • The AssertionError Exception
    • The try and except Block: Handling Exceptions
    • The else Clause
  • Files

    • Persistence
    • Reading and writing
    • Format operator
    • Filenames and paths
    • Catching exceptions
    • Databases
    • Writing modules
    • Debugging
  • CSV

    • Introduction, Application and Usage
    • reader and writer
    • DictReader and DictWriter
    • Simple CSV processing using functional programming
  • Pandas

    • Introduction to Pandas
    • DataFrame Data Structure
    • DataFrame Indexing and Loading
    • Querying a DataFrame
    • Indexing Dataframes
    • Manipulating DataFrame
  • Database with Python

    • Installations
    • Introduction, Application and Usage
    • Basic Structured Query Language
    • CRUID operations
  • Basic Data Visualization

    • Principles of Information Visualization
    • Visualizing Data Using Spreadsheets
    • Matplotlib
    • Plotly
    • Scatterplots
    • Line Plots
    • Bar Charts
    • Histograms
    • Plotting with Pandas
  • Classes and Objects

    • User-defined types
    • Attributes
    • Real World Example
    • Instances as return values
    • Objects are mutable
    • Copying
    • Debugging
  • Classes and Methods

    • Object-oriented features
    • The self
    • Printing objects
    • The init method
    • The __str__ method
    • Other special methods
    • Operator overloading
    • Type-based dispatch
    • Polymorphism
    • @staticmethod
    • Debugging
  • Callable and Non-Callable Object

  • Inheritance

    • Introduction
    • Example
    • Class attributes
    • Private, Protected and Public
    • Multiple Inheritance
    • Class diagrams
    • Debugging
    • Data encapsulation
  • GIT

    • Installing Git
    • status, log, commit push, pull commands 
    • Branch, Tags and Multiple remote concept and Implementation
    • checkout, reset, rebase, merge concept
    • Gitlab vs Github vs Bitbucket
  • Tools

    • Trello, Slack, Jira
  • Bonus

    • 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
    • Data Streaming using Big Data Technologies like Kafka.
  • Final Project

    As per the recommendation of students, one of the following projects will be done by the instructor themselves!

    • Web Scraping project (includes handling web scraping tools, proper file handling and implementation of sql)
    • GUI project (any desktop application e.g: calculator, data entry application)
Upcoming Class Schedule
04 Dec 2022 08:00 AM - 09:30 AM
04 Dec 2022 04:30 PM - 06:00 PM
11 Dec 2022 12:00 PM - 01:30 PM

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