Python Training

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis.

What are the Python Course Pre-requisites There are no hard pre-requisites. Basic understanding of Computer Programming terminologies is sufficient. Also, basic concepts related to Programming and Database is beeficial but not mandatory.

Course Syllabus:

• Introduction to Languages
• Introduction to Python
• Python Software’s
• Python Language Fundamentals
• Different Modes of Python
• Python Variables
• Operators
• Input & Output Operators
• Control Statements
• Data Structures or Collections
• List Collection
• Tuple Collection
• Set Collection
• Dictionary Collection
• Functions
• Advanced python
• Python Modules
• Packages
• OOPs
• Exception Handling & Types of Errors
• Regular expressions
• File &Directory handling
• Python Logging
• Date & Time module
• OS module
• Multi-threading & Multi Processing
• Garbage collection
• Python Data Base Communications(PDBC)
• Python – Network Programming
• Tkinter & Turtle
• Data analytics modules
• DJANGO
• Pandas – Introduction to Data Structures
• Pandas — Series
• Pandas – DataFrame
• Pandas – Panel
• Pandas – Basic Functionality
• Pandas – Descriptive Statistics
• Pandas – Function Application
• Pandas – Reindexing
• Pandas – Iteration
• Pandas – Sorting
• Pandas – Working with Text Data
• Pandas – Options and Customization
• Pandas – Indexing and Selecting Data
• Pandas – Indexing and Selecting Data
• Pandas – Window Functions
• Pandas – Aggregations
• Pandas – Missing Data
• Pandas – GroupBy
• Pandas – Merging/Joining
• Pandas – Concatenation
• Pandas – Date Functionality
• Pandas – Timedelta
• Pandas – Categorical Data
• Pandas – Visualization
• Pandas – IO Tools
• Pandas – Sparse Data
• Pandas – Caveats & Gotchas
• Pandas – Comparison with SQL