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Python Course Description

What is Python Programming Language?

If there is one programming language that is taking the world by storm for its versatility and ruggedness, it would by PYTHON.
Python is highly robust, adaptive and most importantly coder-friendly.
And, that is the reason why several tech MNCs are migrating to Python, both as the general utility software, and also as specialized functional programming industrial software.
Surprisingly, the syntax-es are quite user-friendly, and an interested person doesn’t require too long to master it.
With the growing popularity of Python in the following fields, even freshers can easily get a good job soon after completion.
Listed below are some of the fields Python learners are getting an edge over.

  • Web Development
  • Informatics
  • Data Science
  • Machine Learning
  • Application Development
  • System Software
  • Testing
  • Natural Language Processing
  • Web Scraping
  • And many other

From NASA to Google, every major Tech Giants have adopted it. Why stay behind?

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Why join us to Learn Python Programming Language?

Jupiter Vidya is the only Advanced Programming Learning center in Whitefield that offers personalized attention. Since Python has a wide range of application, students come with a wide range of background.

Therefore, our general methodology has been working wonderfully in making every student easily grasp the concept from scratch, and raise to the advanced level quite fast.
Successful students also get placed easily in the MNC and get to raise fast in seniority.
This Python tutorial for beginners is designed in such a way that students can master Python without any difficulty.

If you are a programmer and wants to move to Python we can surely help you in that.
Our teaching methods are very effective, students get lots of python programming examples and python programming pdf for their reference. We use latest python ide.

Call now and join today our institute to learn Python programming language.

Course Features

Duration

40 hours of theory + practicals. Weekdays 1.5 hours and Weekend 2 hours.

Real-Time Projects

Live application development including all the features of the course.

Evaluation

Regular assignment and test to check your knowledge.

Support

We provide support to help you even after the course is completed.

Placement Assistance

We are associated with companies for the placements.

Certification

After successful completion of the Python programming course, you'll get a certificate.

Flexible Timing

A student can opt for any time. Our class timing is very flexible.

Lab Facility

Every student will get a laptop for practice. A student can practice even after the class is over.

Study Material

Study material in form of PDF and examples will be provided to the student.

Python Programming Language Course Curriculum

Introduction & Environment Setup

• Environment Setup for Python Programming
• Using the Python Interpreter
• Invoking the Interpreter
• Argument Passing
• Interactive Mode
• The Interpreter and Its Environment

An Informal Introduction to Python

• Using Python as a Calculator
• Numbers
• Strings
• Lists

Control Flow in Python Language

• if Statements
• for Statements
• The range() Function
• break and continue Statements, and else Clauses on Loops
• pass Statements
• Defining Functions
• More on Defining Functions
• Default Argument Values
• Keyword Arguments
• Arbitrary Argument Lists
• Unpacking Argument Lists
• Lambda Expressions
• Documentation Strings
• Function Annotations

Data Structures

• More on Lists in Python Language
• Using Lists as Stacks
• Using Lists as Queues
• List Comprehensions
• Nested List Comprehensions
• The del statement
• Tuples and Sequences
• Sets in Python
• Dictionaries in Python
• Looping Techniques
• More on Conditions
• Comparing Sequences and Other Types

Modules

• More on Modules in Python
• Executing modules as scripts
• The Module Search Path
• “Compiled” Python files
• Standard Modules
• The dir() Function
• Packages
• Importing * From a Package
• Intra-package References
• Packages in Multiple Directories

Input and Output

• Fancier Output Formatting
• Old string formatting
• Reading and Writing Files
• Methods of File Objects
• Saving structured data with json

Exceptions Handling in Python

• Syntax Errors
• Exceptions
• Handling Exceptions
• Raising Exceptions
• User-defined Exceptions
• Defining Clean-up Actions
• Predefined Clean-up Actions

Classes and Objects

• Python Scopes and Namespaces
• Classes and Instances
• Class Variables
• classmethod and staticmethod
• Inheritance
• Multiple Inheritance
• Private Variables
• Odds and Ends
• Iterators
• Generators
• Generator Expressions

Brief Tour of the Standard Library

• Operating System Interface
• File Wildcards
• Command Line Arguments
• Error Output Redirection and Program Termination
• String Pattern Matching
• Mathematics
• Internet Access
• Dates and Times
• Data Compression
• Performance Measurement

SQLite database and Python

• Connecting SQLite to the Database
• Connection Objects
• Creating (CREATE) and Deleting (DROP) Tables
• Inserting (INSERT) Data into the Database
• Retrieving Data (SELECT) with SQLite
• Updating (UPDATE) and Deleting (DELETE) Data
• SQLite Database Exceptions
• SQLite and Python types

Graphical User Interfaces with Tk

• Introduction to Tkinter Modules
• Widget
• Combobox
• Notebook
• Progressbar
• Treeview
• Menus
• Styles and Themes
• CURD operation using tkinter GUI

Programs must be written for people to read, and only incidentally for machines to execute

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