Python Programming Pro

Course Overview

Python Programming Course is a standout amongst the most requested ranges of abilities in the present occupation advertise and in light of current circumstances. Python Programming enables you to do pretty much anything you can consider; web advancement, information examination, amusement improvement – notwithstanding controlling robots!

This Python Programming Professional Bundle is intended to get you up to speed with all the significant Python aptitudes you require at this moment. Learn individually time and at your own particular pace, simply make certain to take in this stuff.

Course Objective

Owing to the fact that Python is one of the easiest programming languages to learn, it has become the first and foremost choice for individuals going forward. There is a rapid proliferation in the market for the individuals who are equipped with Python skills. We aim to acquaint country’s participants with this language in order to improve their employability quotient and worthiness in the market.

Course Outcome

The endless supply of this program understudies will have the capacity to:

  • Develop an application – A feature venture utilizing Python
  • Write Python projects to collaborate with IO streams
  • Implement Dynamic programming
  • Write Object arranged applications
  • Develop solid application utilizing Exception Handling

Prerequisites

  • Any interested candidate can enroll in this course

FAQ’S

How can we do practice?

We are providing hand on training, we use to provide all coding guideline for your practice

How can we resolve our queries?

We are providing 24*7 Technical support till 2 Months, for any query you may reach on support@techtrunk.in

Do you provide any Certificate for this course?

Yes, Course Certificate from TechTrunk Ventures

Course Curriculum

  • Introduction to Python & Python Fundamentals

    • Python Interpreter and its Environment
      0m
    • Python 2 v/s Python 3
      0m
  • Python variables and basic data structures

    • Declaration of variables
      0m
    • Arrays, Lists and Tuples
      0m
    • Dictionary and Sets
      0m
    • List and array slicing
      0m
  • Data Types and their related functions

    • Numbers
      0m
    • Strings
      0m
    • Unicode Strings
      0m
  • Operators

    • Arithmetic Operators
      0m
    • Assignment Operators
      0m
    • Comparison Operators
      0m
    • Logical (or Relational) Operators
      0m
    • Conditional (or ternary) Operators
      0m
  • Conditional statements/Control Structures

    • If Statements
      0m
    • While construct
      0m
    • For Statements
      0m
    • Looping Techniques over arrays, dictionary, etc.
      0m
    • The range() Function
      0m
    • Break and continue Statements, and else clauses on Loops
      0m
    • Pass Statements
      0m
    • Error Handling
      0m
  • Functions

    • Local variables
      0m
    • Default Argument Values
      0m
    • Returning Values
      0m
    • Keyword & Positional Arguments
      0m
    • Arbitrary Argument Lists
      0m
    • Documentation Strings
      0m
    • Unpacking Argument Lists
      0m
    • Lambda Expressions
      0m
  • Functional Programming

    • Lambda Forms
      0m
    • list comprehension
      0m
    • map
      0m
    • apply
      0m
    • reduce
      0m
    • filter
      0m
  • Functions and Lambda Forms

    • Functions and Arguments and Scope
      0m
    • List Comprehensions
      0m
    • Appending data in lists
      0m
    • Generators
      0m
    • Understanding Modules
      0m
    • Module Packages
      0m
    • Package Imports Mixed usage modes
      0m
    • Introduction to OO Programming
      0m
    • Class coding basics
      0m
    • OOP and Inheritance
      0m
    • New Styled Classes
      0m
    • Introduction to Exceptions
      0m
    • Data analysis programming techniques
      0m
    • Analyzing words out of an article
      0m
    • sensitivity analysis
      0m
  • Getting started with PyQt

    • Installing PyQt
      0m
    • Designing UI using PyQt
      0m
    • Creating windows, buttons, textfields
      0m
    • Assigning action to elements
      0m
    • Designing a complete functioning app
      0m
    • Designing a calculator using PyQt
      0m
    • variable parsing between functions
      0m
    • Development using Qt Framework
      0m
    • Miscellaneous programming for PyQt
      0m
    • Object Oriented method
      0m
    • __init__ method
      0m
    • __main__ method
      0m
    • super class & self instance
      0m
    • Saving memory techniques while programming
      0m
  • Sqlite Database

    • Installing sqlite
      0m
    • Configuring Sqlite Database
      0m
    • Sqlite Quries and handling database entries
      0m
    • SELECT, INSERT & DELETE query
      0m
    • Designing database based applications
      0m
    • Converting .qt format to .py
      0m
    • Usinf cx_freeze
      0m
    • Converting python+pyqt code to an executable format
      0m
    • Deploying Apps
      0m
    • Designing Sentiment Analysis Apps
      0m
    • Designing Commercial Applications
      0m
    • Analysis of various frameworks used for GUI Development
      0m
    • Do’s and Dont’s for developing applications
      0m
    • Projects & Practicals
      0m
  • Downloading python windows libraries

    • Installing packages from whl files
      0m
    • Installing packages online
      0m
    • Importing packages
      0m
    • Installing various libraries – scipy, numpy, matplotlib
      0m
    • Data Handling using numpy
      0m
    • Matrix representation using numpy
      0m
    • indexing of elements in matrixData Visualization using matplotlib library
      0m
    • Data plot & hist
      0m
    • figure manipulation
      0m
    • Using Miscellaneous Function
      0m
    • Working with Frameworks
      0m
    • Practical and projects
      0m
  • Data Storing and Data Acquisition

    • Installing openpyxl
      0m
    • Edit Course ‹ Tech Trunk — WordPress
      0m
    • reading data from xls files
      0m
    • writing data to xls files
      0m
    • Analyzing and clustering of data
      0m
  • Web Development using Python.

    • Web Development frameworks for python2 & python3
      0m
  • Creating account on cloud

    • Installing Bash command line
      0m
    • Getting started with Flask
      0m
    • Writing scripts using Flask
      0m
    • Hello World example using Flask
      0m
    • Designing complete webpage
      0m
    • Deploying webppage
      0m
  • APIs

    • XML Processing using python
      0m
    • XML Parser Architecture & API
      0m
    • Parsing XML with SAX APIs
      0m
    • The make_parser method & parse method
      0m
    • Parsing XML with DOM APIs
      0m
    • Multithreading programming
      0m
    • Creating thread using Threading module
      0m
    • Synchronizing Threads
      0m
    • Multithreaded priority queue
      0m
    • Miscellaneous Programming Techniques
      0m
    • projects & Q/A session
      0m
  • File handling and other OS interactions

    • Opening a File
      0m
    • Reading from a file, writing to a file
      0m
    • Closing a File
      0m
    • Reading directories & other basic directory operations (getcwd, mkdir, chdir etc.)
      0m
    • Renaming & deleting files
      0m
  • Modules

    • Executing modules as scripts
      0m
    • The Module Search Path
      0m
    • Building modules
      0m
    • Running a module from the command line
      0m
    • ‘Compiled’ Python files
      0m
    • Standard Modules
      0m
    • The dir() Function
      0m
    • Packages
      0m
    • Importing * From a Package
      0m
    • Intra-package References
      0m
    • Packages in Multiple Directories
      0m

Instructors

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Santosh has around 18 years of IT experience, out of which and more than 14 years’ experience in Application Design, managing and Development focuses in SAP, Data Science and E-commerce. He has around 11 years of Service/Project/Program Management across various continents (Europe, Americas and Asia). Worked on ASAP and Agile implementation Methodology.
He is having real-time experience on AI & Machine Learning, He is having 10+ Year experience in IBM Industry

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