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Best in Jaipur

Best in Jaipur

Course Feature

Core Python

  • Duration 1 Months
  • Class Timings 1.5 hour a day, 5 days a week
  • Eligibility

Course Features

  • Duration:1.5 months
  • Students:Max 10
  • Skill LeveAdvanced
  • LanguageEnglish / Hindi
  • Opening10am to 7pm
  • ClassesOn System

Core Python Course in Jaipur

A Python course in Jaipur offers a solid foundation in one of the most versatile and in-demand programming languages. Designed for beginners as well as experienced programmers, the course covers everything from Python basics, such as syntax and data structures, to advanced topics, including object-oriented programming, web development, and data analysis. With a focus on hands-on learning, students work on real-world projects that allow them to build practical skills and gain experience in applying Python across various domains, from web development and automation to data science and machine learning. Many courses also offer placement support, making it easier for learners to transition into Python-related roles. Python training in Jaipur is ideal for anyone looking to start a career in tech or to enhance their coding skills in a fast-growing field.

Core Python Institute in Jaipur

DAAC provides  Python training in jaipur, DAAC have industries best trainer who provides training to student in professional manner according to industry requirements.

Python Scripting is one of the easy languages to learn and is widely used from individuals to big organizations such as Google. This Python training starts with the basic syntax of Python and continues to small GUI programs. You will learn Python data types such as Tuples and Dictionaries, Looping, Functions and I/O handling. Python training will also give you an overview of Object Oriented Programming and Graphical application development. Python Scripting course will explain some basics modules and their usage. At the end of the Python Scripting Training, individuals will have the skills to grow in Web-Development, GUI Application Programming, Game Development and writing powerful scripts for System Administration.

Core Python Course Syllabus

A Python course syllabus provides a structured path to mastering this versatile programming language, starting with fundamental concepts and gradually progressing to more advanced applications. Students begin by building a strong foundation in Python, focusing on essential programming skills that include writing efficient, readable code. The course then delves into core programming principles, emphasizing how to structure code effectively for various applications. There is a high demand for Python developers globally. Modules of DAAC's full-stack developer course include:

MODULE - 1

Introduction to Python

  • Python Language Fundamentals
  • Python Implementation Alternatives/Flavors
  • Keywords
  • Identifiers
  • Constants / Literals
  • Data types
  • Python VS JAVA
  • Python Syntax
Minor Exam and Project

MODULE - 2

Different Modes of Python

  • Interactive Mode
  • Scripting Mode
  • Programming Elements
  • Structure of Python program
  • First Python Application
  • Comments in Python
  • Python file extensions
  • Setting Path in Windows
  • Edit and Run python program without IDE
  • Edit and Run python program using IDEs
  • INSIDE PYTHON
  • Programmers View of Interpreter
  • Inside INTERPRETER
  • What is Byte Code in PYTHON?
  • Python Debugger
Minor Exam and Project

MODULE - 3

Operators

  • Arithmetic Operators
  • Comparison Operators
  • Python Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator precedence
  • Difference between “is” vs “==”
Minor Exam and Project

MODULE - 4

Input & Output Operators

  • Print
  • Input
  • Command-line arguments
Minor Exam and Project

MODULE - 5

Control Statements

  • Conditional control statements
  • If
  • If-else
  • If-elif-else
  • Nested-if
  • Loop control statements
  • for
  • while
  • Nested loops
  • Branching statements
  • Break
  • Continue
  • Pass
  • Return
  • Case studies
Minor Exam and Project

MODULE - 6

Data Structures or Collections

  • Introduction
  • Importance of Data structures
  • Applications of Data structures
  • Types of Collections
  • Sequence
  • Strings, List, Tuple, range
  • Non sequence
  • Set, Frozen set, Dictionary
  • Strings
  • What is string
  • Representation of Strings
  • Processing elements using indexing
  • Processing elements using Iterators
  • String operators
  • Methods of String object
  • String Formatting
  • String functions
  • String Immutability
  • Case studies
  • Manipulation of String using Indexing and Slicing
Minor Exam and Project

MODULE - 7

List Collection

  • What is List
  • Need of List collection
  • Different ways of creating List
  • List comprehension
  • List indices
  • List object methods
  • List is Mutable
  • Mutable and Immutable elements of List
  • Nested Lists
  • List_of_lists
  • Hardcopy, shallowCopy and DeepCopy
  • zip() in Python
  • How to unzip?
  • Python Arrays
  • Case studies
  • Processing elements of List through Indexing and Slicing
Minor Exam and Project

MODULE - 8

Tuple Collection

  • What is tuple?
  • Different ways of creating Tuple
  • Method of Tuple object
  • Tuple is Immutable
  • Mutable and Immutable elements of Tuple
  • Process tuple through Indexing and Slicing
  • List v/s Tuple
  • Case studies
  • What is tuple?
  • Different ways of creating Tuple
  • Method of Tuple object
  • Tuple is Immutable
  • Mutable and Immutable elements of Tuple
  • Process tuple through Indexing and Slicing
  • List v/s Tuple
  • Case studies
Minor Exam and Project

MODULE - 9

Set Collection

  • What is set?
  • Different ways of creating set
  • Difference between list and set
  • Iteration Over Sets
  • Accessing elements of set
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • functions and methods of set
  • Python Frozen set
  • Difference between set and frozenset ?
  • Case study
Minor Exam and Project

MODULE - 10

Dictionary Collection

  • What is dictionary?
  • Difference between list, set and dictionary
  • How to create a dictionary?
  • PYTHON HASHING?
  • Accessing values of dictionary
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Reading keys from Dictionary
  • Reading values from Dictionary
  • Reading items from Dictionary
  • Delete Keys from the dictionary
  • Sorting the Dictionary
  • Python Dictionary Functions and methods
  • Dictionary comprehension
Minor Exam and Project

MODULE - 11

Functions

  • What is Function?
  • Advantages of functions
  • Syntax and Writing function
  • Calling or Invoking function
Minor Exam and Project

MODULE - 12

Python argument-type functions

  • Nested functions
  • Non local variables, global variables
  • Closures
  • Decorators
  • Generators
  • Iterators
  • Monkey patching
Minor Exam and Project

MODULE - 13

Python Modules

  • Importance of modular programming
  • What is module
  • User-defined modules creation
  • Functions based modules
  • Class based modules
  • Connecting modules
  • Import module
  • From … import
  • Module alias / Renaming module
  • Built In properties of module
  • Types of Modules – Pre defined, User defined
Minor Exam and Project

MODULE - 14

Packages

  • Organizing python project into packages
  • Package v/s Folder
  • py file
  • Importing package
  • PIP
  • Introduction to PIP
  • Installing PIP
  • Installing Python packages
  • Un installing Python packages
  • Types of packages – pre defined, user defined
Minor Exam and Project

MODULE - 15

OOPs

  • Procedural v/s Object oriented programming
  • Principles of OOP – Encapsulation , Abstraction (Data Hiding)
  • Classes and Objects
  • How to define class in python
  • Types of variables – instance variables, class variables.
  • Types of methods – instance methods, class method, static method
  • Object initialization
  • Overloading
  • Operator Overloading
Minor Exam and Project

MODULE - 16

Regular expressions

  • Understanding regular expressions
  • String v/s Regular expression string
  • “re” module functions
  • Match()
  • Search()
  • Split()
  • Findall()
  • Compile()
  • Sub()
  • Subn()
  • Expressions using operators and symbols
  • Simple character matches
  • Special characters
  • Character classes
  • Mobile number extraction
  • Mail extraction
  • Different Mail ID patterns
  • Data extraction
  • Password extraction
  • URL extraction
  • Vehicle number extraction
  • Case study
Minor Exam and Project

MODULE - 17

File &Directory handling

  • Introduction to files
  • Opening file
  • File modes
  • Reading data from file
  • Writing data into file
  • Appending data into file
  • Line count in File
  • CSV module
  • Creating CSV file
  • Reading from CSV file
  • Writing into CSV file
  • Object serialization – pickle module
  • XML parsing
  • JSON parsing
Minor Exam and Project

MODULE - 18

Exception Handling & Types of Errors

  • What is Exception?
  • Why exception handling?
  • Syntax error v/s Runtime error
  • Finally block
  • Case studies
  • Exception codes – AttributeError, ValueError, IndexError, TypeError
Minor Exam and Project

MODULE - 19

Python Logging

  • Logging Levels
  • implement Logging
  • Configure Log File in over writing Mode
  • Timestamp in the Log Messages
  • Python Program Exceptions to the Log File
  • Features of Customized Logger
  • Requirement of Our Own Customized Logger
Minor Exam and Project

MODULE - 20

Date & Time module

  • How to use Date & Date Time class
  • How to use Time Delta object
  • Formatting Date and Time
  • Calendar module
  • Text calendar
  • HTML calendar
Minor Exam and Project

MODULE - 21

OS module

  • Shell script commands
  • Various OS operations in Python
  • Python file system shell methods
  • Creating files and directories
  • Removing files and directories
  • Shutdown and Restart system
  • Renaming files and directories
  • Executing system commands
Minor Exam and Project

MODULE - 22

Multi-threading & Multi-Processing

  • Introduction
  • Multi tasking v/s Multi threading
  • Threading module
  • Life cycle of thread
  • Single threaded application
  • Multi threaded application
  • Can we call run() directly?
  • Need to start() method
  • Sleep()
  • Creating thread – inheriting Thread class , Using callable object
  • Join()
  • Case studies
  • Synchronization – Lock class – acquire(), release() functions
Minor Exam and Project

MODULE - 23

Python Data Base Communications(PDBC)

  • Introduction to DBMS applications
  • File system v/s DBMS
  • Communicating with MySQL
  • Python – MySQL connector
  • connector module
  • connect() method
  • Oracle Database
  • Static queries v/s Dynamic queries
  • Transaction management
  • Case studies
Minor Exam and Project

MODULE - 24

Garbage collection

  • Introduction
  • ‘gc’ module
  • Collect() method
  • Threshold function
  • Case studies
  • Importance of Manual garbage collection
  • Self reference objects garbage collection
Minor Exam and Project

MODULE - 25

Python with Django

  • Introduction to Django
  • Django Web Framework
  • What is a Framework
  • Introduction to Django
  • Django – Design Philosophies
  • History of Django
  • Why django and Features
  • Environment setup
  • Web Server
  • MVC Pattern
  • Getting Started with Django
  • Create an Application
  • Django – Admin Interface
  • Views Layer
  • Django – URL Mapping
  • Django Template Language (DTL)
  • Django – Models
  • Django – Form Processing
  • Django – Cookies Handling
  • Django Admin
  • Static files
  • Sample Projects and Websites
Minor Exam and Project

Why choose DAAC for Core Python Course in Jaipur

With our Python Courses and Specializations, we are the leading training institute for Python in Jaipur. Our programs have helped thousands of trainees launch their careers. Here are some reasons to choose DAAC for your Python institute in Jaipur

  • Hands-on experience with live projects.
  • We help you obtain Python training, certifications, & jobs in Jaipur.
  • We offer free demo sessions.
  • Experienced faculty.
  • Both practical and theoretical classes are taught.

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Benefits of studying Core Python Course

  • Python is widely used across industries, increasing job opportunities.
  • Python’s simple syntax is beginner-friendly and intuitive.
  • Used in web development, data science, machine learning, automation, and more.
  • Python developers earn competitive salaries, especially in data science and AI.
  • Python has powerful libraries like Pandas, NumPy, and TensorFlow for data manipulation and machine learning.
FAQ

Most Comment Question?

Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used for web development, data science, automation, machine learning, and more.

Yes! Python’s simple syntax and readability make it an excellent choice for beginners. It's one of the most recommended languages for new programmers.

The time to learn Python depends on your prior programming experience and learning pace. It typically takes a few months for beginners to become comfortable with the basics and several more months to become proficient in more advanced topics.

Python is versatile and can be used for web development, data analysis, machine learning, automation, game development, desktop applications, and more.

No, Python is beginner-friendly and doesn’t require prior knowledge of other programming languages. It’s often recommended as the first language to learn.

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