Python Online Training

  • Courses
  • Python
Module 1: Python Core  
  1. Introduction of python and comparison with other programming languages
  2. Installation of Anaconda Distribution and other python IDE
  3. Python Objects, Numbers & Booleans, strings, Container objects, Mutability of objects
  4. Conditions (if else , if –elif-else)
  5. Loops (while, for)
  6. Break and Continue Statements
  7. Operators – Arithmetic, Bitwise, comparison and Assignment
  8. Operators, Operators Precedence and associativity.
  9. Range functions
  Module 2: String Objects and collections  
  1. String object basics
  2. String methods
  3. Splitting and Joining Strings
  4. String format functions
  5. List object basics
  6. List methods
  7. List as stack and Queues
  8. List comprehensions
  Module 3: Tuples, Set, Dictionaries & Functions  
  1. Tuples, Sets, Dictionary Object basics, Dictionary
  2. Object methods, Dictionary View Objects.
  3. Functions basics, Parameter passing, Iterators
  4. Generator functions
  5. Lambda functions
  6. Map, Reduce, filter functions
Module 4: OOPS concepts & Working with Files  
  1. OOPS basic concepts
  2. Creating classes and Objects
  3. Inheritance, Multiple Inheritances
  4. Working with files
  5. Reading and writing files
  6. Buffered read and write
  7. Other File methods
  Module 5: Modules, Exception Handling & Database Programming  
  1. Using Standard Module
  2. Creating new modules
  3. Exceptions Handling with Try-except
  4. Creating, inserting and retrieving Table
  5. Updating and deleting the data.
  6. FILE
  Module 6: Flash and Api’s  
  1. Flask introduction
  2. Flask Application
  3. Open linkFlask
  4. App RoutingFlask
  5. URLBuildingFlask
  6. HTTP MethodsFlask
  7. TemplatesFlask
  Module 7: Visualisation
  1. Matplotlib
  2. Seaborn
  3. Plotly
  4. Cufflinks
  Module 8: Pythonpandas  
  1. Python Pandas – Series
  2. Python Pandas -DataFrame
  3. Python Pandas – Panel
  4. Python Pandas – BasicFunctionality
  5. Function Application
  6. Python Pandas -Reindexing
  7. Python Pandas – Iteration
  8. Python Pandas – Sorting
  9. Working with Text Data
  10. Options & Customization
  11. Indexing & Selecting Data
  12. Statistical Functions
  13. Python Pandas – Window Functions
  14. Python Pandas – Date Functionality
  15. Python Pandas –Time delta
  16. Python Pandas – Categorical Data
  17. Python Pandas – Visualization
  18. Python Pandas – IOTools
  Module 9 : Python Numpy  
  1. NumPy – Ndarray Object
  2. NumPy – Data Types
  3. NumPy – Array Attributes
  4. NumPy – Array Creation Routines
  5. NumPy – Array from Existing Data
  6. Array from Numerical Ranges
  7. NumPy – Indexing & Slicing
  8. NumPy – Advanced Indexing
  9. NumPy – Broadcasting
  10. NumPy – Iterating Over Array
  11. NumPy – Array Manipulation
  12. NumPy – Binary Operators
  13. NumPy – String Functions
  14. NumPy – Mathematical Functions
  15. NumPy – Arithmetic Operations
  16. NumPy – Statistical Functions
  17. Sort, Search & Counting Functions
  18. NumPy – Byte Swapping
  19. NumPy – Copies &Views
  20. NumPy – Matrix Library
  21. NumPy- Linear Algebra
  Module 10: Exploratory Data Analysis  
  1. Feature Engineering and Selection
  2. Building Tuning and Deploying Models
  3. Analyzing Bike Sharing Trends
  4. Analyzing Movie Reviews Sentiment
  5. Customer Segmentation and Effective Cross Selling
  6. Analyzing Wine Types and Quality
  7. Analyzing Music Trends and Recommendations
  8. Forecasting Stock and Commodity Prices
  Module 10: Project Explanation

Student's who completed Python Course with us are placed in top MNCs and we wish you see you among them.

Topic : Python Online Training

Class Duration

45 Days

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