PYTHON
Python is an Open-source and Object-Oriented Programming Language It is a simple and easy to read programming language and doesn’t require any license to utilize it. New developments in Python Language happens very frequently as it is backed by various Communities which are diverse in programming skills. Python Language is extensively used in Web Development, Gaming, Scientific Applications, GUI Development, Web Scraping, Artificial Intelligence (Data Science), Machine Learning and Deep Learning etc.
Course Content:
Core Python:
1. Introduction to Languages
2. Introduction to Python
3. Python Software
4. Python Language Fundamentals
5. Different Modes of Python
6. Python Variable
7. Operators
8. Input and Output Operator
9. Control Statements
10. Data Structures or Collections
11. Strings
12. List Collection
13. Tuple Collection
14. Set Collection
15. Dictionary Collection
16. Functions
Advanced Python:
1. Python Modules
2. Packages – Pip
3.OOPs
4. Method Overloading
5. Construct Overloading
6. Operator Overloading Exception Handling and Types of Errors
7. Regular Expression
8. File and Directory Handling
9. Python Logging
10. Date and Time Module
11. Os Module
12. Multi Threading and Multi Processing
13. Garbage Collection
14. Python Data Base Communication
15. Python- Network Programming
16. Tkinter and Turtle
15. Data Analytics Modules
16. Django
17. Pandas
18. Pandas Introduction
19. Pandas Environment
20. Pandas – Introduction to Data Structures
21. Series
22 . Data Frames
23. Panel
24. Basic Functionality
25. Descriptive Statistics
26. Function Application
27. Re indexing
28. Iteration
29. Sorting
30. Working with Text Data
31. Options and Customization
32. Indexing and Selecting Data
33. Statistical Function
34. Window Function
35. Aggregation
36. Missing Data
37. Group by
38. Merging / Joining
39. Concatenation
40. Date Functionality
41. Time Delta
42. Categorical Data
43. Visualization
44. IO Tools
45. Sparse Data
46. Caveats and Gotchas
47. Comparison with SQL
v Numpy
v Introduction
v Environment Setup
v ND Array Object
v Data Types
v Array Attribute
v Array Creation Routines
v Array from Existing Data
v Arrya from Numerical Ranges
v Indexing and Slicing
v Advanced Indexing
v Braodcasting
v Iterating over Array
v Array Manipulation
v Binary Operators
v String Function
v Mathematical Function
v Arthimetic Operator
v Statistical Function
v Sort, Search and Counting Function
v Byte Swapping
v Copies and Views
v Matrix Library
v Linear Algebra
v Matplot Lib
v Histogram using Matplot Lib
v I/o with Numpy