Python Training

by I Task Technologies Claim Listing

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.

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img Duration

15 Days

Course Details

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

Special Message

Experienced & Certified Faculty
  • Vadapalani Branch

    175, 1st Floor, O S Towers, Arcot Road, Vadapalani, Chennai
  • Ameerpet Branch

    Flat no 111,1st floor, Annapurna block, Adithya enclave, Ameerpet, Hyderabad

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