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Gain in-depth knowledge of Python Language Course in Delhi. Enroll now and learn from a Python specialist.
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Corporate Served- The Best Python Course in Delhi is meant for students, professionals, and start-ups who want to learn data science and programming. The training involves the use of Python at the practical level, demonstrating the basic use of the versatile language at the real-level in process automation, data science, web development, and machine learning.
- In the Python Programming Course in Delhi for students will be trained by experienced trainers in sessions that will consist of theory and practice. The students will be engaged in various projects, which will enable them to apply their knowledge practically. This will enable them to solidify their skills. Upon completion of Python Training Institute in Delhi, the students are given a certificate that makes them eligible for employment for most of the industry jobs in the fields of IT, finance, healthcare, and e-commerce. The course enables students to equip themselves with skills and experience that can make them successful in the current technology-driven job market.
Python Course in Delhi
- This is the Best Python Coaching in Delhi that aims to prepare students with Python. We start from the basics and move on to advanced programming concepts. Students will implement their growing knowledge in project-based work so that they comprehend Python theory as well as get practical exposure. This practice will guide them towards success in the job market. Students are opting for the Best Python Institute in Delhi that has the following objectives.
- Python Training Institute in Delhi Objectives:
Master Python syntax, data types, loops, and functions in the Python Course in Delhi.
Become experts at object-oriented programming (OOP).
Learn file handling, exception handling, and modules.
Web application development using Django and Flask frameworks.
Database management using MySQL and MongoDB.
Data manipulation using NumPy, Pandas, and Matplotlib.
Use web scraping using BeautifulSoup and Selenium.
Learn machine learning concepts using Scikit-learn.
Implement live projects and business use cases using Python.
- After finishing Best Python Coaching in Delhi, fresh graduates in Delhi will have the opportunity to earn competitive initial salaries depending on their abilities and the field they join. Various fields, like web development, data analysis, and artificial intelligence, offer different salary scales. This gives fresh graduates the option to align their career options with their interests and financial aspirations.
Salary Ranges: Python Developer: 3.5 LPA 6.5 LPA
Data Analyst: 4.5 LPA 6.5 LPA
Junior Data Scientist: 5 LPA 8 LPA
Web Developer (Python Backend): 3.2 LPA 6 LPA
Automation Tester (Python-based): 3 LPA 5.5 LPA
- Python is a scalable and general-purpose programming language that has been widely utilized in modern technology. It is simple to learn, and as such, an ideal choice for beginner programmers. Through the completion of Best Python Course in Delhi, the students will acquire skills that can create various career prospects such as web development, data analysis, artificial intelligence, and machine learning.
- Career Paths You Can Pursue after Python Programming Course in Delhi:
Python Developer Senior Python Developer Software Architect
Data Analyst Data Scientist AI/ML Engineer
Backend Developer Full Stack Developer Tech Lead
Automation Engineer QA Lead DevOps Engineer
- Python Classes in Delhi popularity is also because of high demand for the same in Delhi which is in high gear these days. Its widespread usage is basically because Python is used in various fields. It's simple and easy-to-understand syntax makes it ideal for a novice, but it is powerful enough for an experienced developer.
- This is why it is the Best Python Coaching in Delhi that has been adopted by the majority of startups and big businesses. Therefore, the demand for Python Course in Delhi has been increasing, with increasing numbers of professionals and individuals in Delhi looking for them to improve their coding skills and improve their job opportunities in a competitive job market.
- Python courses are in high demand mainly because of how important Python has become across multiple industries. Here are the key reasons:
Delhi is a tech hub with thousands of Python job opportunities.
Used for automation, data science, fintech, and software development by Python.
Good career growth, global community assistance, and open-source resources.
Adaptable work arrangements and remote work options for Python specialists.
- Upon completion of Best Python Course in Delhi, candidates are prepared to pursue various jobs requiring skills in Python. Jobs are of kinds like software development, data analysis, machine learning engineering, and web development. Employing such jobs, the candidates can put their skills into action to address problems and work on new projects.
- Common Job Titles:
- Responsibilities Tend to Include:
Python Developer: Implement effective, re-usable code and build backend systems.
Data Analyst: Interpret data sets, create visual reports, and provide insights.
ML Engineer: Create machine learning models and AI applications.
Web Developer: Create websites in Django/Flask.
Automation Tester: Create automated application tests.
Creating clean, readable, and well-organized Python code
Integration with APIs and third-party libraries
Working with databases and data storage technology
Debugging and maintaining existing code
Coordinate with frontend and backend teams
- Python Language Course in Delhi makes experts highly needed by almost every industry because Python is a highly versatile programming language. This one-stop programming language can be used in an excellent range of industries, such as web development, data science, and artificial intelligence. The versatility of Python is a major asset in today's tech era. That is why companies seek skilled developers to take advantage of the possibilities of Python. And thus students are opting for Python Classes in Delhi.
- Industries That Employ Python Professionals:
Information Technology & Software Services
E-commerce & Retail Platforms
Healthcare & Pharma
Banking, Finance, and Insurance
Media & Entertainment
EdTech and Research Labs
Startups and Tech Product Companies
- When the Best Python Course in Delhi is completed, the learners receive an authentic certificate. The certificate is a guarantee of the skills and knowledge acquired in their learning process. It adds to their professional training and indicates that they are dedicated to doing their job perfectly.
- Certificate Benefits:
Evidence of Python skills to employers
Increases visibility on sites like LinkedIn
Adds credibility to resumes when applying for a job
Needed by most companies as evidence of completion of Python Training Institute in Delhi
- Best Python Training Institute in Delhi is provided at economical prices based on duration and delivery mode.
- Inclusions: Live sessions of training
Fee Structure: Basic Best Python Classes in Delhi (2 months): 9900
Intermediate Course (34 months): 12,000 18,000
Full Stack/Data Science with Python (46 months): 18,000 25,000
Study material and recorded videos
Capstone project and internship (as applicable)
Certification and placement assistance
- Official certificates are given by the training partner or organization when passing an exam or Best Python Classes in Delhi project.
- Certifications You Can Receive:
- Additional Certification Exams for Python Language Course in Delhi:
Python Programming Certificate
Data Analysis with Python (if doing data-specific modules)
Django/Flask Web Developer Certificate
Machine Learning with Python (beginner level)
Microsoft Python Certification (Optional): $99
PCEP Certified Entry-Level Python Programmer: 4,0005,000
- Hands-on projects are the bulk of this training program. The exercises are designed to emulate real business situations to allow learners to solve problems faced by professionals on a daily basis. Every project forms a practical experience that reinforces learning and skill development, connecting theory to practice.
- Projects You Will Work On:
- Tools You will Be Using:
Create a blog website with Django
Automate Excel reporting with Python
Work on COVID-19 dataset and build dashboards
Build a chatbot using Python and Flask
Web scraping Amazon product pages
Build a login/registration system
Jupyter Notebook, PyCharm, VS Code
Git and GitHub for version control
MySQL/PostgreSQL for database management
Postman for API testing
- The Best Python Classes in Delhi gives direct information about Python and its various libraries, frameworks, and tools. The trainees will get to know how to make the most out of Python's resources in their various applications and projects.
- Key Libraries & Frameworks:
NumPy, Pandas Data analysis
Matplotlib, Seaborn Data visualization
Scikit-learn Machine learning
Django, Flask Web development
Requests, BeautifulSoup Web scraping
SQLAlchemy ORM for database integration
- To familiarize students with industry needs, Python Coaching in Delhi utilizes modern tools and platforms used by top tech companies. This makes students hands-on and well-versed with the technologies they will be using in their professional lives.
- Tools Covered:
Jupyter Notebooks data modeling and analysis
PyCharm / VS Code commercial Python IDEs
Git/GitHub version control and collaboration
Postman API development and testing
Google Colab cloud-based Python execution
- We offer placement support inclusive of Python Institute in Delhi course completion.
- Facilities Offered:
Resume preparation workshops
1-on-1 mock interviews
Interview arranging with collaborating firms
Portfolio improvement with GitHub projects
Referrals from alumni & job suggestions
- Here's why we're the best option for Python Language Course in Delhi:
100% live project training
Experienced trainers with 515 years of experience from leading MNCs
Online/offline classes & flexible batch timings
Mentorship & placement support
Revised curriculum according to industry requirements
- At the end of the Python training in Delhi, you will get a training certificate as a valid proof of your skills that you can use worldwide to showcase your skills and expertise in the Python space. Many have completed Python Course in Delhi at Croma Campus. It's your turn to earn your certification!
- You May Also Read:
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Course Duration
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Python Certification Training Programs
Python Certification TrainingPrograms
Programming with Python Training
- Python is a very powerful high-level, object-oriented programming language. Python is an interpreted language. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.
- Python has been a favourite option for Data Scientists who use it for building and using Machine Learning Applications and other Scientific Computations.
- Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
- In this program you will learn:
Python Training Curriculum
Data Analysis and Visualization using NumPy, Pandas, and MatPlotLib,Seaborn
Get full course syllabus in your inbox
- In this program you will learn:
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
Introduction To Python
- In this program you will learn:
- Python Keyword and Identifiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identifiers
- In this program you will learn:
- Variables, expression condition and function
- Global and Local Variables in Python
- Packing and Unpacking Arguments
- Type Casting in Python
- Byte objects vs. string in Python
- Variable Scope
Introduction To Variables:
- In this program you will learn:
- Declaring and using Numeric data types
- Using string data type and string operations
- Understanding Non-numeric data types
- Understanding the concept of Casting and Boolean.
- Strings
- List
- Tuples
- Dictionary
- Sets
Python Data Type:
- In this program you will learn:
- Statements – if, else, elif
- How to use nested IF and Else in Python
- Loops
- Loops and Control Statements.
- Jumping Statements – Break, Continue, pass
- Looping techniques in Python
- How to use Range function in Loop
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statement
- How to use IN or NOT IN keyword in Python Loop.
Control Structure & Flow
- In this program you will learn:
- Python Syntax
- Function Call
- Return Statement
- Arguments in a function – Required, Default, Positional, Variable-length
- Write an Empty Function in Python –pass statement.
- Lamda/ Anonymous Function
- *args and **kwargs
- Help function in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantage and Disadvantage
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Random functions in python
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More example of Python Function
Python Function, Modules and Packages
- In this program you will learn:
- Day, Month, Year, Today, Weekday
- IsoWeek day
- Date Time
- Time, Hour, Minute, Sec, Microsec
- Time Delta and UTC
- StrfTime, Now
- Time stamp and Date Format
- Month Calendar
- Itermonthdates
- Lots of Example on Python Calendar
- Lots of Example on Python Calendar
- Create 12-month Calendar
- Strftime
- Strptime
- Format Code list of Data, Time and Cal
- Locale’s appropriate date and time
Python Date Time and Calendar:
- In this program you will learn:
- What is List.
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using “+” and Keyword
- List Delete
- List related Keyword in Python
- List Revers
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
List
- In this program you will learn:
- What is Tuple
- Tuple Creation
- Accessing Elements in Tuple
- Changing a Tuple
- Tuple Deletion
- Tuple Count
- Tuple Index
- Tuple Membership
- TupleBuilt in Function (Length, Sort)
Tuple
- In this program you will learn:
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str , Update etc.)
Dictionary
- In this program you will learn:
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
Sets
- In this program you will learn:
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
Strings
- In this program you will learn:
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specific Exception in Python
- Raising Exception
- Try and Finally
Python Exception Handling
- In this program you will learn:
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making New Directory
- Changing Directory
Python File Handling
- In this program you will learn:
- SQL Database connection using
- Creating and searching tables
- Reading and Storing config information on database
- Programming using database connections
Python Database Interaction
- In this program you will learn:
- Installing SMTP Python Module
- Sending Email
- Reading from file and sending emails to all users
Contacting user Through Emails Using Python
- In this program you will learn:
- Working With Excel
- Reading an excel file using Python
- Writing to an excel sheet using Python
- Python| Reading an excel file
- Python | Writing an excel file
- Adjusting Rows and Column using Python
- ArithmeticOperation in Excel file.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More example of Python Function
Reading an excel
- In this program you will learn:
- Check Dirs. (exist or not)
- How to split path and extension
- How to get user profile detail
- Get the path of Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How to get any files and folder’s details using OS
Complete Understanding of OS Module of Python
Get full course syllabus in your inbox
- In this program you will learn:
- Introduction to NumPy: Numerical Python
- Importing NumPy and Its Properties
- NumPy Arrays
- Creating an Array from a CSV
- Operations an Array from aCSV
- Operations with NumPy Arrays
- Two-Dimensional Array
- Selecting Elements from 1-D Array
- Selecting Elements from 2-D Array
- Logical Operation with Array
NumPy
- In this program you will learn:
- Working With Excel using Pandas
- Reading an excel & CSV file using Pandas
- Writing to an excel sheet using Pandas
- Adjusting Rows and Column using Pandas
- Arithmetic Operation in Excel file using Pandas.
- Play with Workbook, Sheets and Cells in Excel using Pandas
- Creating and Removing Sheets using Pandas
- Formatting the Excel File Data using Pandas
Pandas
- In this program you will learn:
- Bar Chart using Python MatPlotLib
- Column Chart using Python MatPlotLib
- Pie Chart using Python MatPlotLib
- Area Chart using Python MatPlotLib
- Scatter Plot Chart using Python MatPlotLib
- Export the Chart as Image
- Create Charts as Image
- Other Useful Properties of Charts.
- Plotting Different Charts, Labels, and Labels Alignment etc.
MatPlotLib
- In this program you will learn:
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
Introduction to Seaborn
- In this program you will learn:
- Concept of Class, Object and Instances
- Constructor, Class attributes and Destructors
- Real time use of class in live projects
- Inheritance, Overlapping and Overloading operators
- Adding and retrieving dynamic attributes of classes
- Programming using Oops support
Python Object Oriented Programming—Oops Concepts
Get full course syllabus in your inbox
Python Django Full Stack Development Training
30k
LearnersWeekend/WeekdayLive
Class
- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- Python is a very powerful high-level, object-oriented programming language. Python is an interpreted language. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.
- Using third-party tools, such as Py2exe or Pyinstaller Python code can be packaged into stand-alone executable programs. Django is an extremely widely used framework, and because it’s open source. Django is a web framework which written in python & follows the MVC architectural pattern.
- It is maintained by the Django software foundation, an independent organization. There are many other frameworks like Pyramid, web2py, Flask etc. which support developers in the design & maintenance of complex applications. Pyjamas & Iron Python can be used to develop the client-side of ajax-based applications.
- In this program you will learn:
HTML
HTML 5
CSS 2.0
CSS 3.0
JavaScript
JQuery
Bootstrap Framework Latest Version (HTML, CSS, and JS Library)
Web Hosting & SEO Basics
Python Training Curriculum
Data Analysis and Visualization using NumPy, Pandas, and MatPlotLib, Seaborn
Placement Guide
Get full course syllabus in your inbox
- HTML
What is HTML
What is a Web Browser
What are Versions of HTML
What can you Do with HTML
HTML Development Environments
Writing Code with a Text Editor
- Review of HTML Elements
Rules of Syntax
Making your Code Readable
Building a Document
Using Colors
Adding Color to your Page
Using Headings
Using Paragraphs
Aligning Block-Level Elements
- Inserting Spaces and Line Breaks
Displaying Preformatted Text
Formatting with Inline Elements
Controlling Fonts
Introducing List Elements
Creating Unordered Lists
Creating Ordered Lists
Nesting Lists
- What is an HTML Table
Building a Table
Cell Padding and Cell Spacing
Controlling Table and Cell Width
Aligning a Table on the Page
Aligning Tables and Text
Aligning Table Data
Spanning Columns and Rows
- Creating a Hyperlink
Understanding and Using URLs
Linking to a Web Document
Linking to a Local Document
Linking to Anchors
Opening a New Browser Window
- Image Formats
Inserting Inline Images
Aligning Images
Using Images to Anchor Links
Sizing Images
Using Transparent Images
Using GIF Animation
- Forms and Controls
Forms and Form Elements
Form Actions, Form Methods, Form Design
Get full course syllabus in your inbox
- Introduction
Laying out a page with HTML5
Page Structure
New HTML5 Strutural Tags
Page Simplification
- HTML 5 - How we got here
New Features of HTML5
The HTML5 Semantic Element
Current State of Browser Support
- SECTIONS AND ARTICLES
The section Tag
The article Tag
The header Tag
The Footer Tag
- HTML5 AUDIO AND VIDEO
Supported Media Types
The audio Element
The video Element
- HTML5 FORMS
New Input Types
- HTML5 NEW FORM ATTRIBUTES
autocomplete
novalidate
- HTML5 NEW FORM FIELD ATTRIBUTES
required
placeholder
autofocus
autocomplete
form
pattern
Get full course syllabus in your inbox
- Introduction of CSS
- CSS Syntax
- CSS Comments
- CSS Type
Inline
Internal
External
- CSS Selector
ID
Class
Attribute
Grouping
Universal
- CSS Color
RGB Value
Hex Value
Color Name
- Background
background-color
background-repeat
background-attachement
background position
background-size
background-image
- CSS Margin
Margin-top
Margin-bottom
Margin-left
Margin-Right
- CSS Padding
Padding -top
Padding -bottom
Padding -left
Padding –Right
- Outline
Outline-Style
Outline-color
Outline Width
Outline-Offset
Outline Shorthand Property
- CSS Height and Width
- CSS Display properties
- CSS Position Properties
- CSS Overflow
- CSS Float and Clear
- Pseudo Class and Element
Get full course syllabus in your inbox
- Introduction to CSS 3
Border
border-radius
- CSS Shadows
Text-shadow
Box-shadow
- Transitions
transition
transition - delay
transition - duration
transition - property
- 2D Transforms
transform
matrix ()
translate (x,y)
scale(x,y)
rotate(angle)
Skew (x - angle, y-angle)
- Animations
@keyframes
animation
animation-direction
animation-duration
animation-name
- Selectors
CSS combinations
Pseudo Elements
- Gradients
Linear Gradients
Radial Gradients
- User Interface
resize
box-sizing
outline-offset
- CSS Filters
Blur
Opacity
- Media Query
What is Responsive Web Design
Intro to the Viewport
The Viewport Tag
Media Queries
Tablet Styles
Mobile Styles
Making a Mobile Drop-down Menu
- Web Fonts
@font-face
font- family
src
font-stretch
font-Style
font-weight
- Flexbox
flex - grow
flex - shrink
flex - basis
flex
flex - wrap
flex - direction
flex - flow
justify - content
align-items
order
Get full course syllabus in your inbox
Django Framework Certification Training
30k
LearnersWeekend/WeekdayLive
Class
- 1 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- Croma Campus's Django course helps you gain expertise in Django REST framework, Django Models, Django AJAX, Django jQuery etc. You'll master Django web framework while working on real-time use cases and receive Django certification at the end of the course.
- In this program you will learn:
Django Web Framework
Getting Started with Django
Create an Application
Django - URL Mapping
Django Template Language (DTL)
Django – Models
Django – Sending E-mails
Django – Form Processing/le handling/cooking handling
Django Admin
Django API (Application Program Interface)
Static les
Placement Guide
Get full course syllabus in your inbox
- 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
MVC Architecture vs MVT Architecture
Django MVC – MVT Pattern
Get full course syllabus in your inbox
- Getting Started with Django
Creating the rst Project
Integrating the Project to sublime text
The Project Structure
Running the server
Solving the issues and Migrations
Database Setup
Setting Up Your Project.
Get full course syllabus in your inbox
- Create an Application
What Django Follows
Structure of Django framework
Model Layer
What are models
Model elds
Query sets
Django – Admin Interface
Starting the Admin Interface
Migrations
Views Layer
Simple View
Basic view (displaying hello world)
Functional views, class based views
Get full course syllabus in your inbox
- Django - URL Mapping
Organizing Your URLs
Role of URLs in Django
Working URLs
Forms
Sending Parameters to Views
Templates layer
The Render Function
Get full course syllabus in your inbox
Python for Data Scientist Training
30k
LearnersWeekend/WeekdayLive
Class
- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- Python has been a favourite option for Data Scientists who use it for building and using Machine Learning Applications and other Scientific Computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
- In this program you will learn:
Python Training
Data Analysis and Visualization using Pandas.
Data Analysis and Visualization using NumPy and MatPlotLib
Introduction to Data Visualization with Seaborn
Get full course syllabus in your inbox
- Introduction To Python
Installation and Working with Python
Understanding Python variables
Python basic Operators
Understanding the Python blocks.
- Python Keyword and Identiers
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identiers
Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
- Introduction To Variables
Variables, expression condition and function
Global and Local Variables in Python
Packing and Unpacking Arguments
Type Casting in Python
Byte objects vs. string in Python
Variable Scope
- Python Data Type
Declaring and using Numeric data types
Using string data type and string operations
Understanding Non-numeric data types
Understanding the concept of Casting and Boolean.
Strings
List
Tuples
Dictionary
Sets
- Control Structure & Flow
Statements – if, else, elif
How to use nested IF and Else in Python
Loops
Loops and Control Statements.
Jumping Statements – Break, Continue, pass
Looping techniques in Python
How to use Range function in Loop
Programs for printing Patterns in Python
How to use if and else with Loop
Use of Switch Function in Loop
Elegant way of Python Iteration
Generator in Python
How to use nested Loop in Python
Use If and Else in for and While Loop
Examples of Looping with Break and Continue Statement
How to use IN or NOT IN keyword in Python Loop.
- Python Function, Modules and Packages
Python Syntax
Function Call
Return Statement
Arguments in a function – Required, Default, Positional, Variable-length
Write an Empty Function in Python –pass statement.
Lamda/ Anonymous Function
*args and **kwargs
Help function in Python
Scope and Life Time of Variable in Python Function
Nested Loop in Python Function
Recursive Function and Its Advantage and Disadvantage
Organizing python codes using functions
Organizing python projects into modules
Importing own module as well as external modules
Understanding Packages
Random functions in python
Programming using functions, modules & external packages
Map, Filter and Reduce function with Lambda Function
More example of Python Function
- Python Date Time and Calendar
Day, Month, Year, Today, Weekday
IsoWeek day
Date Time
Time, Hour, Minute, Sec, Microsec
Time Delta and UTC
StrfTime, Now
Time stamp and Date Format
Month Calendar
Itermonthdates
Lots of Example on Python Calendar
Create 12-month Calendar
Strftime
Strptime
Format Code list of Data, Time and Cal
Locale’s appropriate date and time
- List
What is List.
List Creation
List Length
List Append
List Insert
List Remove
List Append & Extend using “+” and Keyword
List Delete
List related Keyword in Python
List Revers
List Sorting
List having Multiple Reference
String Split to create a List
List Indexing
List Slicing
List count and Looping
List Comprehension and Nested Comprehension
- Tuple
What is Tuple
Tuple Creation
Accessing Elements in Tuple
Changing a Tuple
Tuple Deletion
Tuple Count
Tuple Index
Tuple Membership
TupleBuilt in Function (Length, Sort)
- Dictionary
Dict Creation
Dict Access (Accessing Dict Values)
Dict Get Method
Dict Add or Modify Elements
Dict Copy
Dict From Keys.
Dict Items
Dict Keys (Updating, Removing and Iterating)
Dict Values
Dict Comprehension
Default Dictionaries
Ordered Dictionaries
Looping Dictionaries
Dict useful methods (Pop, Pop Item, Str , Update etc.)
- Sets
What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations
Frozen Sets
- Strings
What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations
- Python Exception Handling
Python Errors and Built-in-Exceptions
Exception handing Try, Except and Finally
Catching Exceptions in Python
Catching Specic Exception in Python
Raising Exception
Try and Finally
- Python File Handling
Opening a File
Python File Modes
Closing File
Writing to a File
Reading from a File
Renaming and Deleting Files in Python
Python Directory and File Management
List Directories and Files
Making New Directory
Changing Directory
- Python Database Interaction
SQL Database connection using
Creating and searching tables
Reading and Storing cong information on database
Programming using database connections
- Contacting user Through Emails Using Python
Installing SMTP Python Module
Sending Email
Reading from le and sending emails to all users
- Reading an excel
Working With Excel
Reading an excel le using Python
Writing to an excel sheet using Python
Python| Reading an excel le
Python | Writing an excel le
Adjusting Rows and Column using Python
ArithmeticOperation in Excel le.
Play with Workbook, Sheets and Cells in Excel using Python
Creating and Removing Sheets
Formatting the Excel File Data
More example of Python Function
- Complete Understanding of OS Module of Python
Check Dirs. (exist or not)
How to split path and extension
How to get user prole detail
Get the path of Desktop, Documents, Downloads etc.
Handle the File System Organization using OS
How to get any les and folder’s details using OS
Get full course syllabus in your inbox
- Statistics
Categorical Data
Numerical Data
Mean
Median
Mode
Outliers
Range
Interquartile range
Correlation
Standard Deviation
Variance
Box plot
- Pandas
Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
Using the Excel File class to read multiple sheets More Mapping, Filling
Nonvalue’s
Exploring the Data Plotting, Correlations, and Histograms
Getting statistical information about the data Analysis Concepts, Handle the None Values
Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
Applying formulas on the columns Basic Grouping, Concepts of Aggre
gate Function
Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
Under sting the Properties of Pivot Table in Pandas Advanced Reading
CSVs/HTML, Binning, Categorical Data
Exporting the results to Excel Joins:
Python | Pandas Data Frame Inner Join
Under sting the properties of Data Frame Left Join (Left Outer Join)
Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data
Pandas | How to Group Data How to apply Lambda / Function on Data
Frame
Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
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- NumPy
Introduction to NumPy: Numerical Python
Importing NumPy and Its Properties
NumPy Arrays
Creating an Array from a CSV
Operations an Array from a CSV
Operations with NumPy Arrays
Two-Dimensional Array
Selecting Elements from 1-D Array
Selecting Elements from 2-D Array
Logical Operation with Arrays
Indexing NumPy elements using conditionals
NumPy’s Mean and Axis
NumPy’s Mode, Median and Sum Function
NumPy’s Sort Function and More
- MatPlotLib
Bar Chart using Python MatPlotLib
Column Chart using Python MatPlotLib
Pie Chart using Python MatPlotLib
Area Chart using Python MatPlotLib
Scatter Plot Chart using Python MatPlotLib
Play with Charts Properties Using MatPlotLib
Export the Chart as Image
Understanding plt. subplots () notation
Legend Alignment of Chart using MatPlotLib
Create Charts as Image
Other Useful Properties of Charts.
Complete Understanding of Histograms
Plotting Different Charts, Labels, and Labels Alignment etc.
Get full course syllabus in your inbox
- Introduction to Seaborn
Introduction to Seaborn
Making a scatter plot with lists
Making a count plot with a list
Using Pandas with seaborn
Tidy vs Untidy data
Making a count plot with a Dataframe
Adding a third variable with hue
Hue and scattera plots
Hue and count plots
- Visualizing Two Quantitative Variables
Introduction to relational plots and subplots
Creating subplots with col and row
Customizing scatters plots
Changing the size of scatter plot points
Changing the style of scatter plot points
Introduction to line plots
Interpreting line plots
Visualizing standard deviation with line plots
Plotting subgroups in line plots
- Visualizing a Categorical and a Quantitative Variable
Current plots and bar plots
Count plots
Bar plot with percentages
Customizing bar plots
Box plots
Create and interpret a box plot
Omitting outliers
Adjusting the whisk
Point plots
Customizing points plots
Point plot with subgroups
- Customizing Seaborn Plots
Changing plot style and colour
Changing style and palette
Changing the scale
Using a custom palette
Adding titles and labels: Part 1
Face Grids vs. Axes Subplots
Adding a title to a face Grid object
Adding title and labels: Part 2
Adding a title and axis labels
Rotating x-tics labels
Putting it all together
Box plot with subgroups
Bar plot with subgroups and subplots
Well done! What’s next
Get full course syllabus in your inbox
Machine Learning with Python Training
30k
LearnersWeekend/WeekdayLive
Class
- 3 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- Machine learning is important because it gives enterprises a view of trends in ustomer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations
- In this program you will learn:
Python Training Curriculum
Data Analysis and Visualization using Pandas.
Data Analysis and Visualization using NumPy and MatPlotLib
Introduction to Data Visualization with Seaborn
Machine Learning
Get full course syllabus in your inbox
- Introduction To Python
Installation and Working with Python
Understanding Python variables
Python basic Operators
Understanding the Python blocks.
- Python Keyword and Identiers
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identiers
Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
- Introduction To Variables
Variables, expression condition and function
Global and Local Variables in Python
Packing and Unpacking Arguments
Type Casting in Python
Byte objects vs. string in Python
Variable Scope
- Python Data Type
- Strings
- List
- Tuples
- Dictionary
- Sets
Declaring and using Numeric data types
Using string data type and string operations
Understanding Non-numeric data types
Understanding the concept of Casting and Boolean.
- Control Structure & Flow
Statements – if, else, elif
How to use nested IF and Else in Python
Loops
Loops and Control Statements.
Jumping Statements – Break, Continue, pass
Looping techniques in Python
How to use Range function in Loop
Programs for printing Patterns in Python
How to use if and else with Loop
Use of Switch Function in Loop
Elegant way of Python Iteration
Generator in Python
How to use nested Loop in Python
Use If and Else in for and While Loop
Examples of Looping with Break and Continue Statement
How to use IN or NOT IN keyword in Python Loop.
- Python Function, Modules and Packages
Python Syntax
Function Call
Return Statement
Arguments in a function – Required, Default, Positional, Variable-length
Write an Empty Function in Python –pass statement.
Lamda/ Anonymous Function
*args and **kwargs
Help function in Python
Scope and Life Time of Variable in Python Function
Nested Loop in Python Function
Recursive Function and Its Advantage and Disadvantage
Organizing python codes using functions
Organizing python projects into modules
Importing own module as well as external modules
Understanding Packages
Random functions in python
Programming using functions, modules & external packages
Map, Filter and Reduce function with Lambda Function
More example of Python Function
- Python Date Time and Calendar
Day, Month, Year, Today, Weekday
IsoWeek day
Date Time
Time, Hour, Minute, Sec, Microsec
Time Delta and UTC
StrfTime, Now
Time stamp and Date Format
Month Calendar
Itermonthdates
Lots of Example on Python Calendar
Create 12-month Calendar
Strftime
Strptime
Format Code list of Data, Time and Cal
Locale’s appropriate date and time
- List
What is List.
List Creation
List Length
List Append
List Insert
List Remove
List Append & Extend using “+” and Keyword
List Delete
List related Keyword in Python
List Revers
List Sorting
List having Multiple Reference
String Split to create a List
List Indexing
List Slicing
List count and Looping
List Comprehension and Nested Comprehension
- Tuple
What is Tuple
Tuple Creation
Accessing Elements in Tuple
Changing a Tuple
Tuple Deletion
Tuple Count
Tuple Index
Tuple Membership
TupleBuilt in Function (Length, Sort)
- Dictionary
Dict Creation
Dict Access (Accessing Dict Values)
Dict Get Method
Dict Add or Modify Elements
Dict Copy
Dict From Keys.
Dict Items
Dict Keys (Updating, Removing and Iterating)
Dict Values
Dict Comprehension
Default Dictionaries
Ordered Dictionaries
Looping Dictionaries
Dict useful methods (Pop, Pop Item, Str , Update etc.)
- Sets
What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations
Frozen Sets
- Strings
What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations
- Python Exception Handling
Python Errors and Built-in-Exceptions
Exception handing Try, Except and Finally
Catching Exceptions in Python
Catching Specic Exception in Python
Raising Exception
Try and Finally
- Python File Handling
Opening a File
Python File Modes
Closing File
Writing to a File
Reading from a File
Renaming and Deleting Files in Python
Python Directory and File Management
List Directories and Files
Making New Directory
Changing Directory
- Python Database Interaction
SQL Database connection using
Creating and searching tables
Reading and Storing cong information on database
Programming using database connections
- Contacting user Through Emails Using Python
Installing SMTP Python Module
Sending Email
Reading from le and sending emails to all users
- Reading an excel
Working With Excel
Reading an excel le using Python
Writing to an excel sheet using Python
Python| Reading an excel le
Python | Writing an excel le
Adjusting Rows and Column using Python
ArithmeticOperation in Excel le.
Play with Workbook, Sheets and Cells in Excel using Python
Creating and Removing Sheets
Formatting the Excel File Data
More example of Python Function
- Complete Understanding of OS Module of Python
Check Dirs. (exist or not)
How to split path and extension
How to get user prole detail
Get the path of Desktop, Documents, Downloads etc.
Handle the File System Organization using OS
How to get any les and folder’s details using OS
Get full course syllabus in your inbox
- Statistics
Categorical Data
Numerical Data
Mean
Median
Mode
Outliers
Range
Interquartile range
Correlation
Standard Deviation
Variance
Box plot
- Pandas
Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
Using the Excel File class to read multiple sheets More Mapping, Filling
Nonvalue’s
Exploring the Data Plotting, Correlations, and Histograms
Getting statistical information about the data Analysis Concepts, Handle the None Values
Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
Applying formulas on the columns Basic Grouping, Concepts of Aggre
gate Function
Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
Under sting the Properties of Pivot Table in Pandas Advanced Reading
CSVs/HTML, Binning, Categorical Data
Exporting the results to Excel Joins:
Python | Pandas Data Frame Inner Join
Under sting the properties of Data Frame Left Join (Left Outer Join)
Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data
Pandas | How to Group Data How to apply Lambda / Function on Data
Frame
Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
Get full course syllabus in your inbox
- NumPy
Introduction to NumPy: Numerical Python
Importing NumPy and Its Properties
NumPy Arrays
Creating an Array from a CSV
Operations an Array from a CSV
Operations with NumPy Arrays
Two-Dimensional Array
Selecting Elements from 1-D Array
Selecting Elements from 2-D Array
Logical Operation with Arrays
Indexing NumPy elements using conditionals
NumPy’s Mean and Axis
NumPy’s Mode, Median and Sum Function
NumPy’s Sort Function and More
- MatPlotLib
Bar Chart using Python MatPlotLib
Column Chart using Python MatPlotLib
Pie Chart using Python MatPlotLib
Area Chart using Python MatPlotLib
Scatter Plot Chart using Python MatPlotLib
Play with Charts Properties Using MatPlotLib
Export the Chart as Image
Understanding plt. subplots () notation
Legend Alignment of Chart using MatPlotLib
Create Charts as Image
Other Useful Properties of Charts.
Complete Understanding of Histograms
Plotting Different Charts, Labels, and Labels Alignment etc.
Get full course syllabus in your inbox
- Introduction to Seaborn
Introduction to Seaborn
Making a scatter plot with lists
Making a count plot with a list
Using Pandas with seaborn
Tidy vs Untidy data
Making a count plot with a Dataframe
Adding a third variable with hue
Hue and scattera plots
Hue and count plots
- Visualizing Two Quantitative Variables
Introduction to relational plots and subplots
Creating subplots with col and row
Customizing scatters plots
Changing the size of scatter plot points
Changing the style of scatter plot points
Introduction to line plots
Interpreting line plots
Visualizing standard deviation with line plots
Plotting subgroups in line plots
- Visualizing a Categorical and a Quantitative Variable
Current plots and bar plots
Count plots
Bar plot with percentages
Customizing bar plots
Box plots
Create and interpret a box plot
Omitting outliers
Adjusting the whisk
Point plots
Customizing points plots
Point plot with subgroups
- Customizing Seaborn Plots
Changing plot style and colour
Changing style and palette
Changing the scale
Using a custom palette
Adding titles and labels: Part 1
Face Grids vs. Axes Subplots
Adding a title to a face Grid object
Adding title and labels: Part 2
Adding a title and axis labels
Rotating x-tics labels
Putting it all together
Box plot with subgroups
Bar plot with subgroups and subplots
Well done! What’s next
Get full course syllabus in your inbox
Need Customized curriculum?
Mock Interviews
Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.How Croma Campus Placement Process Works?
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FAQ's
Croma Campus is the well-known Best Python Training Institute in Delhi with high tech organization and lab facilities. We also provide online access to servers so that applicants will tool the projects at their home simply. Croma Campus mentored more than 3000+ candidates with Python Certification Training at a very sensible fee. The course curriculum is modified as per the must of candidates/corporate.
Croma Campus associated with top organizations like HCL, Wipro, Dell, Birlasoft, Tech Mahindra, TCS, IBM, etc. make us capable to place our students in top MNCs across the globe. After completion of 70% training course content, we will arrange the interview calls to students & prepare them for F2F interaction.
The Python Institute is committed to the development of an independent global standard in Python programming certification, which will allow programming specialists, software developers, and IT professionals from all over the world to assess and document their programming skills objectively, and to gain recognition for their expertise.
Croma Campus is a well-equipped Best Python Institute in Delhi. Candidates will implement the following concepts under the Python: - Linear Regression with One Variable, Linear Algebra Review, Linear Regression with Multiple Variables, Octave/Matlab Tutorial, Logistic Regression, Regularization, Neural Networks: Representation, Neural Networks: Learning, Python System Design, Support Vector Machines on real-time projects along with Python Placement Training modules like aptitude test preparation etc.
For details information & FREE demo class, call us at 120-4155255, +91-9711526942 or write to us info@cromacampus.com
Address: – G-21, Sector-03, Noida (201301)
The Python Course in Delhi fees can vary based on the institute, course duration, and the level of expertise offered. On average, it ranges from INR 10,000 to INR 30,000.
Definitely, 100%! This is a beginner's Best Python Institute in Delhi. We start from the beginning, explain everything in simple English, and include lots of examples and practice. Even if you've never coded before, you'll be able to follow along and learn at your own pace.
In fact, this is an excellent introduction to data science, AI, and even machine learning. We are exposed to Python libraries like Pandas, NumPy, and basic machine learning tools. You can then choose to learn about advanced topics and move into those fields.
Okay, it is actually better if you get some experience on your own machine. But don't stress about getting everything up and running - in class one, we'll take you through installing Python and other software step by step. You won't need to do anything beforehand.
Our projects will be assessed by our professionals. They'll give you suggestions for your code, rectify the mistakes, and assist you in making your task the best. We help you upload your projects on GitHub too so that you can showcase them to recruiters.
Absolutely! Apart from learning Python, we get you interview-ready as well. You will be working on general coding interview questions, conducting mock interviews, and receiving help with resumes and LinkedIn. We will also make you aware of what employers are expecting when they interview you.
Indeed, if you ever skip a class or if you need to change your timings, you can easily switch batches. We also provide you with recorded videos, so you can learn them at your convenience.
Of course. This course gives you the fundamentals you need. After this, you can proceed to advanced topics like AI, machine learning, cloud computing, or DevOps - and we will give you advice on how to learn more based on your interest.
Career Assistance
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Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
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Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
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Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
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With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
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Data Science
Enrolling yourself in the Deep learning certification program of Croma Campus is the best way to master all the concepts of data science and deep learning. My experience with these people has been very amazing and positive. The support/guidance I got from the trainer is highly commendable Thanks, te Read more...
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Hello, I have joined Croma Campus for a few months in the course helped in acquiring good knowledge. Also, there are many extra classes held by the trainer. There are many mock sessions given after the post completing the course. The salary offered in the industry is high to the candidates. Read more...
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I am Pooja Yadav from Haryana. I have joined Croma Campus for learning this course. The trainer helped me to learn advanced practical knowledge and new innovative skills to enhance my ability. Also, the faculty is available in the odd hours for helping. There are many extra reference study materials Read more...
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