- What is Python and brief history
- Why Python and who use Python
- Discussion on Python 2 and 3
- Unique features of Python
- Discussion on various IDE’s
- Demonstration of practical use cases
- Python use cases using data analysis
- Installing python
- Setting up Python environment for development
- Installation of Jupyter Notebook
- How to access our course material using Jupyter
- Write your first program in python
- Python built-in functions
- Introduction to Python objects
- Number objects and operations
- Variable assignment and keywords
- String objects and operations
- Print formatting with strings
- List objects and operations
- Tuple objects and operations
- Dictionary objects and operations
- Sets and Boolean
- Object and data structures assessment test
- Introduction to Python statements
- If, elif and else statements
- Comparison operators
- Chained comparison operators
- What are loops
- For loops
- While loops
- Useful operators
- List comprehensions
- Statement assessment test
- Game challenge
- Methods
- What are various types of functions
- Creating and calling user defined functions
- Function practice exercises
- Lambda Expressions
- Map and filter
- Nested statements and scope
- Args and kwargs
- Functions and methods assignment
- Process files using python
- Read/write and append file object
- File functions
- File pointer and operations
- Introduction to error handling
- Try, except and finally
- Python standard exceptions
- User defined exceptions
- Unit testing
- File and exceptions assignment
- Python inbuilt modules
- Creating UDM-User defined modules
- Passing command line arguments
- Writing packages
- Define PYTHONPATH
- _name _ and _main_
- Object oriented features
- Implement object oriented with Python
- Creating classes and objects
- Creating class attributes
- Creating methods in a class
- Inheritance
- Polymorphism
- Special methods for class
- Collections module
- Datetime
- Python debugger
- Timing your code
- Regular expressions
- StringIO
- Python decorators
- Python generators
- Creating a database
- CRUD operations
- DML and DDL operations with databases
- Performing transactions
- Handling database errors
- Install packages on python
- Introduction to pip, easy_install
- Multithreading
- Multiprocessing
- Interact
- Widget basics
- Widget List
- Widget Events
- Widget Styling
- Custom widget
- Widget styling with layout
- Understanding Machine Learning
- Scope of ML
- Supervised and Unsupervised learning
- Introduction to regression, classification and clustering
- Introduction to data analysis
- NumPy and operations
- Pandas and operations
- What is SciPy
- Data analysis assignment challenge
- Plotting using Matplotlib
- Seaborn visualization
- Pandas built-in data visualization
- Data visualization assignment
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- Final Project
Complete Python Course with DataScience, Data Visualisation, ML, Pandas and NumPy
Duration : 45 to 50 Hours
Basic + Advance Python Covered
30+ Assignments
2 Real time Projects
Complete Python Bootcamp
Module : 1 Introduction to Python
Module : 2 Setting up and installations
Module : 3 Python object and data structures operations
Module : 4 Python statements
Module : 5 UDF functions and methods
Milestone Project - 1
Module : 6 File and exception handling
Module : 7 Python modules and packages
Module : 8 Object oriented programming
Milestone Project - 2
Module : 9 Advanced Python Modules
Module : 10 Database interaction using Python
Module : 11 Package installation and parallel processing
Module : 12 Introduction to GUIs
Module : 13 Machine learning with Python
Module : 14 Data Analysis with Python
Module : 15 Data visualization with Python
Module : 16 REST APIs with flask and python
We Provide Training Certificate also after Project implementation
1) Python is the most demanding language in multiple platforms like Automation, Data mining, Big data and Machine Learning
2) Python is a powerful language because of It's rich source code library
3) Python coding is easy as compare to other programming languages like Java
4) Python has Data visualisation library also for analytics and data summary
2) Python is a powerful language because of It's rich source code library
3) Python coding is easy as compare to other programming languages like Java
4) Python has Data visualisation library also for analytics and data summary
Trainer is from MNC background and working in IT
Python Boot Camp with Machine Learning Libraries
Complete Python including Basics and Advanced Python
Python Boot Camp with Machine Learning Libraries
Complete Python including Basics and Advanced Python
We always believe to help people by providing best Training and Placement Assistance
We Start New Batch Every weekend. Please call us at 860-099-8107 for further information or write us at contact@technogeekscs.co.in
We Provide Live Project based Training in classroom and also Provide extra Projects for practice purpose after completion of the course.