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PYTHON

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About Courses

Python is a dynamic and flexible programming course designed to give advanced knowledge of python including how to write programs, create algorithms, test, debug python code and the fundamentals of data structures. Apart from being an open-source programming language, it is also one of the most versatile programming languages which is used for web development, task automation, data analysis, and data visualization.

Course Highlights

1.

Creating Tuple

2.

Representation of Strings

3.

Python Debugger

4.

Create data visualizations

5.

10+ Assignment

6.

5+ Live Projects

7.

15 Modules

8.

1 Year Free Backup Classes

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Learning Outcome

Learn how to work with various data structures within python, including: representation of strings, indexing, and slicing.
You will be able to store multiple values in a list and loop through lists.
You can use Python to create arcade, adventure and puzzle games that you can deploy within a few hours.
You can work on python projects such as creating a simple python calculator, writing an interactive quiz and building an alarm clock.
You will be able to edit and run python programs using IDEs.

Software and Apps that you will learn in this course

Course Content

1) INTRODUCTION TO LANGUAGES

  1. What is Language?
  2. Types of languages
  3. Introduction to Translators
  4. Compiler
  5. Interpreter
  6. What is Scripting Language?
  7. Types of Script
  8. Programming Languages v/s Scripting Languages
  9. Difference between Scripting and Programming languages
  10. What is programming paradigm?
  11. Procedural programming paradigm
  12. Object Oriented Programming paradigm

2) INTRODUCTION TO PYTHON

  1. What is Python?
  2. Why Python?
  3. Python implementations
  4. Python applications
  5. Python Versions
  6. Python in realtime industry
  7. Difference between Python and 3.x

3) PYTHON SOFTWARES

  1. Python Distributions
  2. Download & Python Installation Process in Windows, Unix, Linux and Mac
  3. Online Python IDLE
  4. Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc

4) PYTHON LANGUAGE FUNDAMENTALS

  1. Python Implementation Alternatives/Flavors
  2. Keywords
  3. Identifiers
  4. Constants/Literals
  5. Data types
  6. Python VS JAVA
  7. Python Syntax

5) DIFFERENT MODES OF PYTHON

  1. Interactive Mode
  2. Scripting Mode
  3. Programming Elements
  4. Structure of Python program
  5. First Python Application
  6. Comments in Python
  7. Python file extensions
  8. Setting Path in Windows
  9. Edit and Run python program without IDE
  10. Edit and Run python program using IDEs
  11. INSIDE PYTHON
  12. Programmers View of interpreter
  13. Inside INTERPRETER
  14. What is Byte Code in PYTHON?
  15. Python Debugger

6) PYTHON VARIABLES

  1. bytes Data Type
  2. byte array
  3. String Formatting in Python
  4. Math, Random, Secrets Modules
  5. Introduction
  6. Initialization of variables
  7. Local variables
  8. Global variables
  9. 'global' keyword
  10. Input and Output operations
  11. Data conversion functions - int(), float(), complex(), str(), chr(), ord()

7) OPERATORS

  1. Arithmetic Operators
  2. Comparison Operators
  3. Python Assignment Operators
  4. Logical Operators
  5. Bitwise Operators
  6. Shift operators
  7. Membership Operators
  8. Identity Operators
  9. Ternary Operator
  10. Operator precedence
  11. Difference between "is" vs "=="

8) INPUT & OUTPUT OPERATORS

  1. Print
  2. Input
  3. Command-line arguments

9) CONTROL STATEMENTS

  1. Conditional control statements
  2. If
  3. If-else
  4. If-elif-else
  5. Nested-if
  6. Loop control statements
  7. for
  8. while
  9. Nested loops
  10. Branching statements
  11. Break
  12. Continue
  13. Pass
  14. Return
  15. Case studies

10) DATA TYPES AND STRUCTURES IN PYTHON

  1. Introduction
  2. Importance of Data structures
  3. Applications of Data structures
  4. Types of Collections
  5. Sequence
  6. Strings, List, Tuple, range
  7. Non sequence
  8. Set, Frozen set, Dictionary
  9. Strings
  10. What is string
  11. Representation of Strings
  12. Processing elements using indexing
  13. Processing elements using Iterators
  14. Manipulation of String using Indexing and Slicing
  15. String operators
  16. Methods of String object
  17. String Formatting
  18. String functions
  19. Case studies

11) LIST COLLECTION

  1. What is List
  2. Need of List collection
  3. Different ways of creating List
  4. List comprehension
  5. List indices
  6. Processing elements of List through Indexing and Slicing
  7. List object methods
  8. List is Mutable
  9. Python Arrays:
  10. Case studies

12) TUPLE COLLECTION

  1. What is tuple?
  2. Different ways of creating Tuple
  3. Method of Tuple object
  4. Process tuple through Indexing and Slicing
  5. List v/s Tuple
  6. Case studies

13) SET COLLECTION

  1. What is set?
  2. Different ways of creating set
  3. Difference between list and set
  4. Iteration Over Sets
  5. Accessing elements of set
  6. Python Set Methods
  7. Python Set Operations
  8. Union of sets
  9. Case study

14) DICTIONARY COLLECTION

  1. What is dictionary?
  2. Difference between list, set and dictionary
  3. How to create a dictionary?
  4. PYTHON HASHING?
  5. Accessing values of dictionary
  6. Python Dictionary Methods
  7. Reading items from Dictionary
  8. Delete Keys from the dictionary
  9. Sorting the Dictionary
  10. Python Dictionary Functions and methods
  11. Dictionary comprehension

15) FUNCTIONS

  1. What is Function?
  2. Advantages of functions
  3. Syntax and Writing function
  4. Calling or Invoking function
  5. Classification of Functions
  6. No arguments and No return values
  7. With arguments and No return values
  8. With arguments and With return values
  9. No arguments and With return values
  10. Recursion
  11. Python argument type functions :
  12. Default argument functions
  13. Required(Positional) arguments function
  14. Keyword arguments function
  15. Variable arguments functions
  16. 'pass' keyword in functions
  17. Lambda functions/Anonymous functions

Jobs You will Get After Completing Course

In the past few years, Python has experienced remarkable growth. Its popularity has risen by about 50% from last year and has become the most demanding programming language without showing any signs of slowing. Across a wide range of fields, there are numerous job opportunities for those having python skills because it reduces coding effort and result in better test perfromance ensuring better programming.

Job profile

After completing this course

Average salary

( 1+ year experience)

Data Analyst 35k- 45k
Financial Analyst 30k- 40k
Data engineer 25k- 35k
Python developer 35k- 50k
Machine Learning Engineer 45k- 65k

Features & Facilities



Student Reviews

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Dolly Bairwa
Student
Google Review 

Hello,
My name is sarita,I'm student of IFDA institute. IFDA is the best computer training institute. Overall I love all the classes I have taken through IFDA institute,all the instructiors are kind and petient.They are very experienced in the program they are teaching.I have recommended this site to my school and friends. IFDA provides both practical and theoretical classes. Had a great experience here.☺️

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Simran Simran
Student
Google Review 

I consider it very helpful because when when I first got into IFDA institute, it was very friendly and my knowledge in technology has gotten just not better but best. All the faculty here are very polite and ready to help whenever asked. Getting in this institute was my best decision.

ifda student review
Chy. Nisha
Student
Google Review 

I have a great experience in IFDA. The trainers are very supportive and explain every topic in detail. This Institute also provide backup classes on Saturday. I would like to suggest to join IFDA Institute to my friends and relatives. Thank u


Frequently Asked Questions

We provide internship and 100% job assistance to those students who are hard working and well-mannered till the course is completed. We conduct interviews with our recruiters for you to get hired that help you to gain professionalism in this field.

Students can pursue this course if they have completed class 10th from a recognised board or university and are eager to learn new and creative skills.

The benefits of using python are-

  1. Easy to use– Python is a high-level and versatile programming language that is easy to use, read, write and learn.
  2. Free and open-source– Python is free to use and distribute. It is an open source programming language.
  3. Vast libraries– Python has vast libraries that contain almost any function needed.
  4. Portable– Python programs can run on any platform without requiring any change.
  5. User friendly - The data structures used in python are user friendly.
  6. It provides more functionality with less coding.

Python is different from other programming languages as in this language there is more functionality with less coding, simple syntax, python codes can easily be written as well as executed much faster and it is very easy to use in comparison to other programming languages.

IFDA has emerged as the most encouraging & favorable institute in Delhi which is an ISO certified computer training institute ,started in the year of 2014. We provide various Govt. and Non Govt. Courses to all the desired students.

Yes we provide weekly classes or you can schedule your class according to your suitable time. We also provide online and backup classes so you can attend your missed or pending lectures.

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