Winter-Script
About Course
About the Course: This comprehensive Python programming course is specifically designed for college students seeking a solid foundation in programming and data analysis. From basic concepts to advanced topics like web development and data visualization, this course covers a wide spectrum of Python applications, ensuring students are well-equipped for real-world scenarios.
Why This Course?:
- Tailored for College Students: Crafted to suit the learning preferences and academic needs of college students.
- Relevance to Industry: Addresses industry demands by incorporating essential Python skills used in various sectors.
- Comprehensive Learning: Covers fundamental Python concepts, web development using Flask, database integration, and advanced data analysis with Pandas and Numpy.
- Practical Applications: Emphasizes hands-on projects, ensuring students can apply their knowledge immediately.
I will not bore you 🙂
I take my courses very seriously but at the same time I try to make it fun since I know how difficult learning from an instructor with a monotone voice or boring attitude is. This course is fun, and when you need some energy to keep going, you will get it from me.
My Approach to Teach You:
- Interactive Learning: Engaging lessons with hands-on coding exercises for a practical understanding.
- Real-world Examples: Illustrations of Python applications in industry scenarios to enhance comprehension.
- Project-based Learning: Emphasis on building projects to reinforce theoretical concepts.
- Supportive Environment: Encourages questions and discussions, fostering a collaborative learning atmosphere.
- Regular Assessments: Periodic assessments to track progress and reinforce learning.
What You Will Learn? (Bullet Points):
- Python basics, including objects, conditions, loops, and file handling.
- Object-oriented programming principles and their practical applications.
- Web development using Flask, covering routing, templates, and HTTP methods.
- Data analysis with Pandas, exploring Series, DataFrames, and advanced functionality.
- Numpy for efficient numerical operations and array manipulation.
- Visualization techniques using Matplotlib, Seaborn, Plotly, and Bokeh.
- Introduction to database management with MySQL and MongoDB.
- Understanding RESTful services and API integration.
- Multithreading and multiprocessing for efficient code execution.
- Exception handling and best practices for robust code.
- In-depth coverage of Flask, including project development for a Food App.
- Practical applications of Python in MySQL and MongoDB databases.
- Advanced Pandas features, including window functions, time series, and categorical data.
- Proficient use of Numpy for linear algebra and mathematical operations.
Course Content
Python Basic to Advance
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Introduction Of Python And Comparison With Other Programming Language
00:00 -
Anaconda Installation and Python Basics
00:00 -
Python List and Boolean Variables
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String, List, Indexing
00:00 -
Tuple, Set Dict
00:00 -
Function
00:00 -
Function in Python-part2
00:00 -
Iterator Generator File System
00:00 -
Exception handling part-1
00:00 -
Exception handling part 2
00:00 -
Exception handling part 3
00:00 -
Oops
00:00 -
Oops Part2
00:00 -
OOPs Concepts Polymorphism
00:00 -
SQL
00:00 -
SQL Part-2
00:00 -
MongoDB
00:00 -
MongoDB Part2
00:00 -
MongoDB Part3
00:00 -
SQL lite, map, reduce, filter,zip
00:00 -
Pandas
00:00 -
Pandas Part-2
00:00 -
Post Man ,Api Testing
00:00 -
Flask
00:00 -
Myntra Scrapper
00:00
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