Join Python Classes in Pune with Croma Campus and Learn all essential Python concepts at your fingertips.
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Corporate Served- If you're looking to boost your programming skills, consider joining a Python institute in Pune. Pune is home to several renowned institutes offering top-quality python classes in Pune. These courses are designed for both beginners and experienced programmers, providing a thorough understanding of Python.
- The python training in Pune features practical experience, real-life projects, and a curriculum that spans from basic syntax to advanced topics like data science and machine learning. With skilled instructors and engaging learning environments, these institutes prepare you for success in the tech industry.
- Whether you're just starting out or seeking to advance your career, a Python course in Pune offer the ideal learning experience.
- Prerequisites for Python classes:
- Before diving into Python classes, it's helpful to have a basic understanding of programming concepts such as variables, data types, control structures (like loops and conditionals), functions, and object-oriented programming (OOP) concepts.
- Here is a quick breakdown of some prerequisites:
- Once you're comfortable with these concepts, you'll be well-prepared to start working with Python classes. Remember that practice is key, so be sure to write plenty of code and experiment with creating your own classes and objects.
Basic Python Knowledge: You should be comfortable with Python syntax, data types (strings, integers, lists, dictionaries, etc.), operators, and basic programming constructs (if statements, loops, functions, etc.).
Functions: Understanding how to define and call functions in Python is essential. This includes parameters, return statements, and scope.
Object-Oriented Programming (OOP) Concepts: Familiarity with the basic concepts of OOP is crucial since classes are a fundamental part of OOP. Understand concepts like classes, objects, inheritance, encapsulation, and polymorphism.
Understanding of Methods and Attributes: Methods are functions defined within a class, while attributes are variables that hold data associated with a class or object. Knowing how to define and use both is important.
Understanding of Inheritance: Inheritance allows one class to inherit attributes and methods from another class. Understanding how inheritance works and how to use it is essential for creating complex class hierarchies.
Modules and Packages: Understanding how to import and use modules and packages in Python will be helpful, as classes are often defined in modules and organized into packages.
Exception Handling: Knowing how to handle errors and exceptions in Python is important for writing robust code, including code that uses classes.
Basic Data Structures: While not strictly necessary, having a grasp of basic data structures like lists, dictionaries, and tuples will be helpful, as classes often interact with these data types.
Python Training Course in Pune
- What you will learn for Python classes in Pune:
Understand Python Concepts: Grasp the fundamental constructs and syntax of Python.
Develop Python Programs: Learn to create your own Python programs from scratch.
Machine Learning Algorithms: Gain knowledge of machine learning algorithms using Python.
Real-Time Projects: Work on real-time projects to apply Python in practical scenarios.
- Python classes in Pune are suitable for students, professionals from various fields, job seekers, entrepreneurs, and business owners looking to enhance their programming skills, switch careers, or leverage Python for automation, data analysis, or prototype development.
- Completing Python training in Pune can open doors to various lucrative career opportunities. Here are some salary expectations based on different roles:
- Salaries can vary depending on experience, the specific company, and the job role, but Python certification typically leads to well-paying positions with significant growth potential.
Python Developer: 4,00,000 - 10,00,000 per annum
Data Scientist: 6,00,000 - 15,00,000 per annum
Machine Learning Engineer: 7,00,000 - 14,00,000 per annum
Web Developer: 3,50,000 - 8,00,000 per annum
Automation Engineer: 5,00,000 - 12,00,000 per annum
- Completing Python coaching in Pune can significantly boost your career prospects:
- Python coaching in Pune opens doors to diverse job roles and high earning potential.
Entry-Level Roles: Start as a Junior Python Developer or Web Developer.
Mid-Level Positions: Progress to Data Analyst, Backend Developer, or Automation Engineer.
Advanced Roles: Advance to Data Scientist, Machine Learning Engineer, or Senior Python Developer.
Leadership: Move into technical lead or project manager roles.
Specialization: Explore AI, big data, and cybersecurity fields.
Freelancing and Consulting: Offer Python expertise to various clients.
Continuous Learning: Stay updated with the latest Python technologies for ongoing career growth.
- Python classes are popular in Pune for several reasons:
Versatility: Python is used across various domains including machine learning, AI, web development, hacking, IoT, and more, making it a highly versatile language.
Beginner Friendly: With its simple and powerful syntax, Python is one of the easiest programming languages to learn, ideal for beginners.
Be in Demand: According to Stack Overflow, Python is the fastest-growing language, and freshers in Pune can expect an average salary of 5 LPA+ according to Glassdoor.
- Python developers can work in various roles such as software engineers, data scientists, machine learning engineers, and full-stack developers. Their responsibilities include:
- Responsibilities:
Writing and testing code
Debugging programs
Integrating applications with third-party services
Developing back-end components
Supporting front-end developers
Writing and maintaining technical documentation
Ensuring system performance
Writing and executing automated tests
Staying updated with new technologies
Collaborating with teams
Suggesting new features and improvements
Maintain the code base
Fix bugs and errors
Develop and maintain features
Improve application performance
- The top hiring industries can vary by region and over time, but as of the current trends, here are some of the industries that are consistently seen as top employers:
IT Services: Development, automation, and system integration.
Data Science and Analytics: Data analysis, visualization, and machine learning.
Finance: Algorithmic trading, risk management, and financial modelling.
Healthcare: Medical data analysis, bioinformatics, and healthcare applications.
E-commerce: Backend development, data processing, and customer analytics.
- After completing your Python course in Hyderabad, you will be awarded a globally recognized training certificate. This certification from python coaching in Hyderabad attests to your expertise in Python programming.
- Obtaining your certificate from the best python institute in Hyderabad greatly enhances your resume and increases your eligibility for top job opportunities in various industries.
- This credential validates your skills, significantly boosting your career prospects and paving the way for advanced professional roles.
Why Should You Learn Python?
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CURRICULUM & PROJECTS
Python for Data Scientist Training
- 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
- 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
- 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)
- 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.
- 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
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FAQ's
You will learn Python programming from basics to advanced topics.
Yes, the training is designed for both beginners and experienced programmers.
It covers a wide range of topics including data analysis, web development, and machine learning.
They offer expert instructors, hands-on projects, and a robust curriculum for comprehensive learning.
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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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Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
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