Python for everyone
Course Overview
In this course, you’ll embark on a journey to master one of the most versatile and powerful programming languages available today. We cover everything from Python’s core syntax to advanced topics like data manipulation, automation, and web development. Through hands-on projects and practical exercises, you’ll learn to write efficient code, develop robust applications, and leverage Python’s extensive libraries for data analysis and machine learning. This course is designed to help you build a strong programming foundation, enabling you to tackle a wide range of problems and drive innovation in various fields.
Rating :
4.6
Reviews :13
Students :0
Available In :EnglishHindi
Updated On :January, 2024
Trainer :Sagar Thorat
Fee :
Find A Batch₹ 12,000
Key Features
- Zero to Hero
- Learn with fun
- Hands-on learning
- Real-world projects
- Easy to follow lessons
- Comprehensive Curriculum
- Certificate of Excellence
- Live online sessions
Who should join?
- Beginners in Programming: If you’re new to programming, Python is a great starting point due to its simple and readable syntax.
- Professionals Looking to Upskill: Many fields, from data analysis to web development, use Python. Learning it can enhance your current skill set and open up new career opportunities.
- Students and Graduates: Python is widely used in scientific research, data analysis, and academic projects. It can be a valuable tool for students and researchers.
- Data Scientists and Analysts: Python is a dominant language in data science and analytics due to its powerful libraries and tools. Anyone who are working or want to work in the field of Data Science And Analytics.
- Web Developers: Python’s frameworks, like Django and Flask, are popular for web development. Anyone who wants to master python to navigate their career to web development.
- Automation Experts: If you’re interested in automating repetitive tasks or processes, Python’s ease of use makes it a great choice.
- Game Developers: Python can be used for game development with libraries like Pygame.
- Hobbyists and DIY Enthusiasts: Whether you’re working on a personal project or a hobby that involves programming, Python’s versatility can be very helpful.
Pre-requisites
- Curious to Learn
- Willingness to Practice
Course content
IMPORTANT: Currently we are re-desiging all our courses and latest syllabus will be available as soon as it is ready.
- 1.Introduction to Python
- What can Python do?
- How to install Python
- 2.Python Basics
- Working with Print Statement
- Comments
- Simple Input & Output
- Simple Operations in Python
- 3.Working with Variables, Data Types
- What is Variable
- Data Types
- Working with
- Numbers
- Booleans
- Strings
- Date
- 4.Functions, Modules & Packages in Python
- Creating First Function in Python
- Function Parameters
- Variable Arguments
- Default Arguments
- Scope Of a Function
- Lambda Function
- Creating Modules in Python
- 5.Decision Making in Python
- Logical Operators in Python
- If-elif-else statements
- 6.Loops in Python
- For Loop
- While Loop
- Nested Loop
- 7.Branching
- Break
- Continue
- Pass
- 8.Using Array, Lists, Sets, Tuples and Dictionaries
- Array
- List
- Sets
- Tuples
- Dictionaries
- 9.Exception handling in Python
- Errors Vs Exception
- Exception handing
- Handling multiple exceptions
- Writing your own Exception
- Raising Exceptions
- 10.OOPs (Object Oriented Programming) in Python
- Classes
- Methods
- Objects
- Inheritance And Polymorphism
- 11.Working with Files & Folders
- Creating Folder
- Creating Multiple Folders
- Deleting File
- Deleting Folder
- Copying Files
- Copying Folders
- Reading Zip
- Extracting Zip
- Creating Zip
- Reading .txt
- Writing data to .txt
- Reading .CSV
- Writing data .csv
- 12.Working with SQLite
- Instructions for installing and using SQLite and its tools.
- create a database and connect to it using Python
- Defining schemas, creating tables, and understanding data types and constraints.
- Performing CRUD Operations using Python
- Managing exceptions and implementing best practices for database operations
- 13.Pandas
- Overview of Pandas and its key features for data manipulation and analysis
- Understanding and using Series and DataFrames for storing and manipulating data
- Reading from and writing to various file formats (CSV, Excel, SQL, etc.)
- Handling missing values, filtering, and transforming data for analysis
- Performing descriptive statistics, aggregations, and data visualization
- Using operations such as merging, joining, grouping, and pivoting to reshape data
- Working with date and time data, and performing time series analysis and manipulation
- 14.NumPy
- Overview of NumPy and its role in numerical computing with Python
- Creating and manipulating ndarray objects, including array attributes and basic operations
- Techniques for accessing and modifying array elements and subarrays
- Performing element-wise operations and using NumPy’s mathematical functions
- Understanding and applying broadcasting rules for operations on arrays of different shapes
- Using functions to compute statistics like mean, median, variance, and sum
- Performing matrix operations, including dot products, matrix multiplication, and decompositions
- 15.MatPlotLib
- Overview of Matplotlib and its role in data visualization with Python
- Creating simple plots, including line plots, scatter plots, and bar charts
- Adjusting plot appearance with titles, labels, legends, and styles
- Creating subplots, multiple plots, and handling multiple datasets in a single figure
- Using Matplotlib for histograms, pie charts, box plots, and other advanced visualizations
- Exporting plots to various formats (e.g., PNG, PDF) and customizing output resolution
- Enabling interactive features and integrating with Jupyter Notebooks for dynamic visualizations
- 16.Projects
- Snake Game
- Pong Game
- Web scraping
- Selenium
- Creating Rest API
- Power BI Integration Project with Python