Python Classes in Pune

Embark on your coding journey with our comprehensive and industry-aligned Python courses. Master Python and unlock new career opportunities in the world of programming.

Career Growth through Skill Development

A cutting-edge curriculum for job-ready Python skills, designed with industry guidance.

Learn from Active Field Experts

Practitioners impart best practices and case studies, fitting into your schedule.

Real-world Problem
Solving

Capstone projects and virtual labs with real data for hands-on Python learning.

Structured Guidance for Continuous Learning

24x7 learning support from mentors and peers, resolving any Python conceptual doubts.

Welcome to Our Python Training Institute in Pune

Welcome to the hub of Python learning in Pune! Our goal is to empower you with Python - a versatile programming language shaping the future of technology. Whether you're an absolute beginner or an experienced programmer, our comprehensive Python courses, delivered by seasoned professionals, will enhance your skills and open a world of opportunities. Join us in this exciting journey of knowledge and let's explore the power of Python together!

Why Python? Unveiling the Power and Versatility of Python in Development and Automation

Python has emerged as a leading programming language due to its readability, efficiency, and wide range of libraries. It’s an ideal choice for both software development and automation tasks.

Software Development: Python’s versatility allows developers to build all types of applications – from simple scripts to complex machine learning models. It’s favored in web development, data analysis, artificial intelligence, and more, due to its easy-to-read syntax and powerful libraries.

Automation: Python simplifies automation with its straightforward syntax and extensive libraries, making it easier to automate repetitive tasks. Whether it’s automating data extraction, testing processes, or system administration tasks, Python makes the process efficient and manageable.

By learning Python, you’re equipping yourself with a skillset that’s in high demand across various industries, thus opening a plethora of career opportunities.

Why Choose Us for Your Python Learning Journey in Pune?

Stepping into the world of Python is an exciting journey, and choosing the right institute is crucial. Here are some reasons why our institute stands out in Python training:

  1. Industry-Aligned Curriculum: Our courses are designed in consultation with industry experts, ensuring that the skills you acquire are relevant and in-demand in the job market.

  2. Expert Faculty: Our trainers are active professionals in the field, providing insights into real-world applications of Python.

  3. Hands-on Learning: We emphasize practical learning through projects and lab sessions, giving students a taste of real-world problem-solving.

  4. Flexible Learning Options: We provide both online and offline classes, allowing you to learn at your pace and convenience.

  5. 24/7 Learning Support: We provide round-the-clock support to ensure that your learning never stops.

  6. Career Guidance: We provide career guidance and placement assistance to our students, helping you navigate your job search.

  7. Community: When you join our institute, you become part of a thriving community of learners and professionals, providing an excellent network for knowledge sharing and collaboration.

With these benefits and more, we strive to provide the best Python training in Pune, helping you build a strong foundation and excel in your Python programming journey.

Unfolding the Unique Features of Python Programming

Python has a host of features that make it a popular choice among programmers and businesses alike. Here are some unique characteristics that set Python apart:

Accelerate Your Career with Our Python Training in Pune

Defining Our Python Course Objectives: What You Will Achieve

Our Python training course is designed with specific objectives in mind, to ensure that our students become proficient in Python programming. Upon completion of our course, you should be able to:

By the end of the course, you'll have a solid understanding of Python and its practical applications, and you'll be ready to apply your knowledge in real-world situations. Whether you are looking to start a career in programming, enhance your current skills, or use Python for academic research, our course objectives align with your goals.

Python Syllabus

  1. An Introduction to Python
    • Why Python, its Unique Feature and where to use it?
    • Python Environment Setup
    • Discuss about IDE’s like IDLE, PyCharm and Enthought Canopy
    • Start programming on an interactive shell.
    • Python Identifiers, Keywords
    • Discussion about installed modules and packages
    • Access Command line arguments within programs
  2. Conditional Statement, Loops, and File Handling
    • Python Data Types and Variable
    • Condition and Loops in Python
    • Decorators
    • Python Modules & Packages
    • Python Files and Directories manipulations
    • Use various files and directory functions for OS operations
  3. Python Core Objects and Functions
    • Built in modules (Library Functions)
    • Numeric and Math’s Module
    • String/List/Dictionaries/Tuple
    • Complex Data structures in Python
    • Arbitrary data types and their Data Structure
    • Python built-in function
    • Python user-defined functions
    • Python packages and functions
    • The anonymous Functions – Lambda Functions
  4. Object Oriented Python
    • OOPs Concepts
    • Object, Classes and Destroying Objects
    • Accessing attributes, Built-In Class Attributes
    • Inheritance and Polymorphism
    • Overriding Methods, Data Hiding
    • Abstraction and Encapsulation
  5. Regular Expression
    • Regular Expressions
    • What are regular expressions?
    • The match and search Function
    • Compile and Matching
    • Matching vs Searching
    • Search and Replace feature using RE
    • Extended Regular Expressions
    • Wildcard characters and work with them
  6. Multithreading
    • Multithreading with Python
    • What is Multithreading?
    • Starting a New Thread
    • The Threading Module
    • Synchronizing Threads
  7. File Handling
    • Writing data to a file
    • Reading data from a file
    • Read and Write data from CSV file
    • OS module
    • Rename and Removing files, directories
  8. Exception Handling in Python
    • Exceptions Handling
    • Handling various exceptions using try….except…else
    • Try-finally clause
    • The argument of an Exception and create a self Exception Class
    • Python Standard Exceptions
    • Raising an exceptions, User-Defined Exceptions
  9. Debugging Python Programs
    • Debug Python programs using pdb debugger
    • Assert for debugging
    • Testing with Python using UnitTest
    • Iterable and generator in Python
    • Yielding from the generators
    • Standard project setup in Python
  10. Modules & Packages
    • Modules
    • How to import a module?
    • Packages
    • How to create packages
  11. Database Handling
    • Create Database Connection
    • Creating and accessing SQLite database
    • Python with MySQL Database
    • Creating Database table
    • CRUD operation on database
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
  1. Basics of Web Page Creation
    • Understanding of basic HTML /CSS
    • HTML Header, paragraph
    • Various tag for button, label and combo-box
    • Creation of forms in HTML
  2. Django Framework
    • Introduction to Django
    • MVT Architecture
    • How to create Django App
    • Url Mapping
    • Templates
    • Introduction to static file
    • Django Model Overview
    • Creating model
    • Model template view creation
    • Django forms and validation
    • Relative Url with Template
  3. Interacting with a Database: Models
    • Overview of Models
    • Creating Models
    • Configuring the Database
    • Your First App
    • Using Django with MySQL.
    • Models-Templates-Views Paradigm
    • Inserting and Updating Data
  4. The Django Administration Site
    • Activating the Admin Interface
    • Using the Admin Interface
    • Users, Groups, and Permissions
    • Selecting an Objects
    • Deleting an Objects
  5. Views and Templates
    • URL Template Inheritance
    • Template Inheritance Coding Example
    • Quick Note on Custom Template Filters
    • Template Filters and Custom Filters
    • Template Filters Coding Examples
    • Django Passwords
    • Deploying Django Framework
  6. Form Processing
    • Django Forms
    • Form Validation
    • Model Forms
    • Relative URLs with Templates 
    • Relative URLs Coding Examples 
  7. Project Work
    • Discussion on Overview and requirements of Project
    • Creation a Web-based Application
  1. Fundamentals of Data Science and Machine Learning
    • Introduction to Data Science
    • The need for Data Science
    • BigData and Data Science’
    • Data Science and Machine Learning 
    • Data Science Life Cycle
    • Data Science Platform
    • Data Science Use Cases 
    • Skill Required for Data Science
  2. Mathematics For Data Science
    • Linear Algebra
      • Vectors
      • Matrices
    • Optimization
      • Theory Of optimization
      • Gradients Descent
  1. Introduction to Statistics
    • Descriptive vs. Inferential Statistics
    • Types of data
    • Measures of central tendency and dispersion
    • Hypothesis & inferences
    • Hypothesis Testing
    • Confidence Interval
    • Central Limit Theorem
  2. Probability and Probability Distributions
    • Probability Theory
    • Conditional Probability
    • Data Distribution
    • Binomial Distribution
    • Normal Distribution


Machine Learning

Python for ML along with Module1

  1. Introduction to NumPy
    • Array Operations
    • Arrays Functions
    • Array Mathematics
    • Array Manipulation
    • Array I/O
    • Importing Files with NumPy
  2. Data Manipulation with Pandas
    • Data Frames
    • I/O
    • Selection in DFs
    • Retrieving in DFs
    • Applying Functions
    • Reshaping the DFs – Pivot
    • Combining DFs
      • Merge
      • Join
    • Data Alignment
  3. SciPy
    • Matrices Operations
    • Create matrices
      • Inverse, Transpose, Trace, Norms , Rank etc
    • Matrices Decomposition
      • Eigen Values & vectors
      • SVDs
  1. MatPlotLib
    • Basics of Plotting
    • Plots Generation
    • Customization
    • Store Plots
  2. SciKit Learn Basics
    • Data Loading
    • Train/Test Data generation
    • Preprocessing
    • Generate Model
    • Evaluate Models


Machine Learning

  1. Exploratory Data Analysis
    • Data Exploration
    • Missing Value handling
    • Outliers Handling
    • Feature Engineering
  2. Feature Selection
    • Importance of Feature Selection in Machine Learning
    • Filter Methods
    • Wrapper Methods
    • Embedded Methods
  3. Machine Learning: Supervised Algorithms Classification
    • Introduction to Machine Learning
    • Logistic Regression
    • Naïve Bays Algorithm
    • K-Nearest Neighbor Algorithm
    • Decision Tress (SingleTree)
    • Support Vector Machines
    • Model Ensemble
      • Bagging
      • Random Forest
      • Boosting
      • Gradient Boosted Trees
    • Model Evaluation and performance
      • K-Fold Cross Validation
      • ROC, AUC etc…
  1. Machine Learning: Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Decision Tree and Random Forest Regression
  2. Machine Learning: Unsupervised Learning Algorithms
    • Similarity Measures
    • Cluster Analysis and Similarity Measures
    • K-Mean Clustering
    • Hierarchical means Clustering
    • Principal Components Analysis
    • Association Rules Mining & Market Basket Analysis
  3. Text Mining
    • Basics
    • Term Document Matrix
    • TF-IDF
    • Twitter Sentiment Analysis
  1. Project Work
  • Machine Learning end to end Project blueprint
  • Regression predictive modeling – House Price Prediction
  • Classification predictive modeling – Binary Classification
  • Widespread coverage for each Topic
  • Various Approaches to Solve Data Science Problem
  • Pros and Cons of Various Algorithms and approaches
  1. Introduction to Selenium
    • Introduction to Automation Testing
    • Why Automation Testing
    • Introduction to Selenium components
    • History and various versions of Selenium
    • What is Selenium 3.0
    • Advantages of using Selenium over other tools.
  2. Installation and setting up the environment
    • Installation of Python
    • Automation Setup for Selenium Web Driver
    • Install and Configure PyDev in Eclipse
  3. Selenium-IDE
    • Introduction
    • IDE Features
    • Building & Running Test Cases
    • Building and Running Test Suites
  4. Selenium Web Driver 2.0
    • Why Selenium Web Driver
    • What is a Driver
    • Download & configuring Web Driver
    • Architecture of Selenium web Driver
    • Drivers for Firefox, IE, Chrome
  5. Identification of Locators
    • Tools to identify elements/objects
    • Different methods of finding an element
      • By ID, By name, class
      • By Xpath, By Tag name
      • By Link text
      • By CSS
      • Using Effective X-path
  1. Selenium Commands
    • Various types of operation that can be
    • performed on any elements and how to use them.
    • Browser Commands, Navigation Commands
    • Working with a different browser
    • Handling Checkbox, RadioButton
    • Dropdown and Select Operations
    • Capturing Screenshots
    • Handling Keyboard Event and Mouse Event
    • Multiple Window Handling
    • Alert & Pop Up Handling.
  2. Wait Commands in Selenium
    • Implicit Wait
    • Explicit Waits, Expected Conditions
 

Advanced Selenium

  1. Framework Designing
    • What is Framework
    • Different Types of Framework.
    • How to Design a framework?
    • Data-Driven Framework using Excel
      • Reading and writing data from Excel
      • Executing Testcases from Excel
  1. PyTest Framework
    • Introduction to PyTest framework
    • Installing PyTest
    • PyTest Fixtures
    • Parametrized Test Functions
    • Running multiple tests using PyTest
    • Generating Test report
  2. Unit Test Framework PyUnit
    • Basic of pyunit
    • PyUnit Installation
    • PyUnit annotation
    • Test Case creation 
    • Test Case execution
    • Assertions/Reporting Errors
    • Suite execution
    • PyUnit Reports
    • Using PyUnit in Selenium
  3. POM Framework
    • Advantages of POM
    • How to implement
    • Using Page Object and Page Factory
  4. Continuous Build Integration tools- Jenkins
    • What is Jenkins and how to use it
    • Installation and configuration of Jenkins

Front End Technologies

  1. HTML
    • Introduction and Basic Structure of HTML
    • Basics, Elements, Attributes
    • Paragraphs and Formatting
    • HTML Skeleton, Links, Images
    • HTML Tables, Blocks
    • HTML Lists, Quick List
    • HTML Blocks
    • HTML Layouts & Forms, IFrames
    • HTML Colors
  2. CSS
    • Introduction
    • Syntax
    • Id & Class
    • Backgrounds
    • Text and Fonts
    • Links and Lists
    • Box Model
    • Advanced Topics
    • Dimensions, Display
    • Positioning, Floating
    • Align
  3. JavaScript
    • Introduction
    • Statements & Comments
    • Variables
    • Operators and Comparisons
    • Conditional Statements and Loops
    • User Defined Functions
    • JS Objects
    • JS Validations
  4. Bootstrap
  • What is Bootstrap and its Setup
  • How to Create a Layout in Bootstrap
    • Grid Classes
  • Basic Tags in Bootstrap
    • Contextual colors and backgrounds
  • Table in Bootstrap
    • Bootstrap Basic Tables
    • Striped Rows, Hover Rows
    • Bordered Table, Condensed Table
    • Responsive Tables
  • Navigation bar in Bootstrap
    • Inverted Navigation Bar
    • Fixed Navigation Bar
    • Navigation Bar with Dropdown
    • Right-aligned Navigation Bar
    • Collapsing the Navigation Bar
  • Form & Buttons in Bootstrap
    • Vertical Form
    • Horizontal Form
    • Inline Form
    • Block Level Buttons
    • Active/Disabled Button


Database Handling with Python

  1. Python MySQL Database Access
    • Create Database Connection
    • DML and DDL Operations with Databases
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
  2. Database Handling with NoSQL DB
    • SQL vs NoSQL
    • MongoDB
    • PyMongo
    • Establishing a Connection
    • Accessing Database
    • DML and DDL Operations

Project Work

  • User Login and Registration site
  • Create an online Test evaluation system for Institute
  • Building an E-commerce site in Django

Exploring Job Opportunities After Completing Python Training in Pune: Unlock Your Potential

In the era of digital transformation, Python programming skills can open the door to a variety of job opportunities. After completing Python training from our institute, you could explore careers in numerous exciting fields:

Python’s readability and efficiency make it a popular choice for developing software applications, from desktop apps to web development.

Python is widely used for data analysis due to its powerful libraries like Pandas and NumPy. As a data analyst, you’d interpret complex datasets to help businesses make decisions.

With Python, you can venture into the realm of machine learning and artificial intelligence. Python’s libraries like Scikit-learn and TensorFlow are pivotal in building machine learning models.

With Python, you can venture into the realm of machine learning and artificial intelligence. Python’s libraries like Scikit-learn and TensorFlow are pivotal in building machine learning models.

Python’s easy syntax and wide range of libraries make it ideal for automating tasks, making it a preferred choice for roles in automation testing.

Python, along with its frameworks like Django and Flask, is extensively used for web development.

Python is commonly used in DevOps for tasks like automation, testing, and scripting.

Python is used in cybersecurity for tasks like automation, malware analysis, and network scanning.

We not only provide Python training but also assist you in choosing the right career path, prepare for job interviews, and offer placement assistance. Your journey to the exciting world of Python starts here!

Trainer Profile for Python Training in Pune

With a notable career as a Senior Software Engineer for a multinational IT company based in Pune, the trainer brings over 15 years of Python programming experience. This expertise extends beyond professional projects, encompassing years of teaching Python to a diverse range of students, from corporate teams to beginners. A dedicated part of the institute's team for numerous years, the trainer has consistently displayed a profound commitment to sharing their extensive Python knowledge.

Expand Your Python Expertise with these Certifications - Offered by Python Classes in Pune

Python has a host of features that make it a popular choice among programmers and businesses alike. Here are some unique characteristics that set Python apart:

Reaping the Rewards: Benefits of Obtaining a Python Certificate

Embarking on a journey to become a certified Python professional can unlock countless benefits, boosting your career to new heights. These advantages are manifold - from enriching your skills to enhancing your earning potential. In our Python classes in Pune, we not only teach Python programming but also guide you through the process of getting certified. Below, we delve into the many benefits that come with earning a Python certificate.

Python Training in Pune FAQs

In the era of digital transformation, Python programming skills can open the door to a variety of job opportunities. After completing Python training from our institute, you could explore careers in numerous exciting fields:

The basic course covers Python’s fundamental concepts like variables, data types, control flow, functions, and basic data structures. The advanced course delves deeper into topics like object-oriented programming, exceptions, decorators, generators, and modules, and includes advanced libraries and frameworks like Django, Flask, and Pandas.

We accept various payment methods including credit/debit cards, net banking, cash, and digital wallets. We also provide installment options.

Yes, we understand that learners may have commitments and interruptions. We allow our students to continue their courses from where they left off. Please get in touch with our support team for such requests.

Absolutely. Python is known for its simplicity and readability, making it an excellent choice for beginners. Python syntax is clean and easy to understand, and it’s a very versatile language used in various fields such as web development, data analysis, AI, and machine learning.

Definitely. Python is a versatile language used in many different industries. It can help automate tasks, analyze data, build websites, and much more. Learning Python can certainly enhance your skills and make you more efficient in your current job.

Yes, we do provide the flexibility to switch between weekday and weekend batches. However, it is subject to the availability of seats in the batch you wish to switch to.

We often run discounts and promotional offers for our students. For the current availability of discounts, please get in touch with our support team.

Yes, we provide comprehensive course material that includes detailed notes, real-world examples, and exercises for practice.

While having your own laptop can be beneficial for practicing at home, it’s not mandatory to bring it to class. We have well-equipped computer labs for our students. However, we recommend having access to a computer outside of class for practice.

No, there are no additional costs. The course fee includes all the training costs, course materials, and access to the lab facilities.

Yes, we offer the Python course online as well. You will get the same high-quality instruction and course materials, and you can learn from the comfort of your home.