Python Training

Hi, my name is Venu. I am looking for Python training with given syllabus.

 

  • Useful Modules
    1. sys
    2. logging
    3. ziplib
    4. smtplib and email
    5. Scrapy
    6. glob
    7. __future__
  • Graphing and Data Analysis
    1. NumPy
    2. matplotlib
    3. Pandas
  • Testing and Debugging
    1. Creating Simulations
    2. Testing for Performance
    3. The unittest Module
    4. Debugging with the IPython Debugger (ipdb)
  • Working with Databases, CSV,Getting Data from the Web, HTML, XML,JSON
  • Python Gotchas
  • Regular Expressions
  • Built-in Functions
  • Grab the data from different resources like twitter
  • Analyze Text data.
  • An Introduction to Python Classes
    • About OO programming
    • Defining Classes
    • Initializers
    • Instance methods
    • Properties
    • Class methods and data
    • Static methods
    • Private methods
    • Inheritance
    • Untangling the nomenclature
  • Using the Standard Library
    • The sys module
    • Interpreter information
    • STDIO
    • Launching external programs
    • Paths, directories, and filenames
    • Walking directory trees
    • Grabbing data from the web pages
    • Sending e-Mail
    • Math Functions
    • Random Numbers
    • Dates and Times
    • Zipped Archives
  • Regular Expressions
    • RE syntax overview
    • Regular expression metacharacters
    • RE Objects
    • Searching for patterns
    • Matching without re objects
    • Compilation Flags
    • Grouping
    • Special Groups
    • Replacing text
    • Splitting a string
  • Using Modules
    • What is a module?
    • The import statement
    • Where did the .pyc file com from?
    • Module search path
    • Zipped Libraries
    • Creating Modules
    • Packages
    • Module Aliases
    • When the batteries aren’t included
  • Errors and Exception Handling
    • Syntax Errors
    • Exceptions
    • Handling exceptions with try
    • Handling multiple exceptions
    • Handling generic exceptions
    • Ignoring exceptions
    • Using else
    • Cleaning up with finally
    • The standard exception hierarchy
  • Sorting
    • The sorted() Function
    • Alternate Keys
    • Lambda Functions
    • Sorting collections of collections
    • Using operator.itemgetter()
    • Sorting dictionaries
    • Reverse in reverse
    • Sorting lists in place
  • Functions
    • Defining a function
    • Function Parameters
    • Global variables
    • Variable scope
    • Returning Values
  • Dictionaries and Sets
    • About Dictionaries
    • When to use dictionaries
    • Creating Dictionaries
    • Getting dictionary values
    • Iterating through a dictionary
    • Reading file data into a dictionary
    • Counting with dictionaries
    • About sets
    • Creating sets
    • Working with sets
  • Working with Files
    • Text fiel I/O
    • Opening a text file
    • The with block
    • Reading a text file
    • Writing to a Text File
    • “Binary” (raw or non-delimited) Data
  • Sequences
    • About Sequences
    • Lists
    • Tuples
    • Indexing and Slicing
    • Iterating through a sequence
    • Functions for all sequences
    • Using enumerate()
    • Operators and keywords for sequences
    • The xrange() function
    • Nest sequences
    • List comprehensions
    • Generator expressions
  • Flow Control
    • About Flow Control
    • What’s with the white space?
    • If and elif
    • Conditional Expressions
    • Relational and Boolean Operators
    • while loops
    • Alternate ways to exit a loop
  • Getting Started
    • Using Variables
    • Keywords
    • Built-in Functions
    • Strings
    • Single-quoted string literals
    • Tripe-quoted string literals
    • Raw String literals
    • Unicode literals
    • String operators and expressions
    • Numeric literals
    • Math operators and expressions
    • Converting among types
    • Writing to the screen
    • String formatting
    • Legacy string formatting
    • Command line parameters
    • Reading from the keyboard
  • The Python Environment
    • Starting Python
    • If the interpreter is not in your PATHs
    • Using the Interpreter
    • Running a Python Script
    • Python Scripts on UNIX/Windows
    • Python Editors and IDEs
  • Python Overview
    • What is Python?
    • The Birth of Python
    • Python Timeline
    • About Interpreted Languages
    • Advantages/Disadvantages of Python
    • How to get Python
    • Which version of Python?
    • The of 2.x
    • Getting help
    • pydoc
  • Advanced List Comprehensions
    1. Quick Review of Basic List Comprehensions
    2. Multiple for Loops
  • Collections Module
    1. Named Tuples
    2. Default Dictionaries
    3. Counters
  • Mapping and Filtering
  • Lambda Functions
  • Advanced Sorting
    1. Sorting Lists in Place
    2. Sorting Sequences of Sequences
    3. Sorting Sequences of Dictionaries
  • Unpacking Sequences in Function Calls
  • Modules and Packages
  • The NumPy array
  • 2D plotting with Matplotlib
  • Django introduction

 

If you can provide all these concepts  in Bangalore, weekends offline class,  weekdays online support (for 3 months), please mail me your schedules and fees details.

Venu 9247159150

venu@bigdataanalyst.in  with subject (python training in Bangalore)

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