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Python Training

LIVE
40 Hours

Course offered by Atin Gupta

1 review
  • Introduction
  • Python Environment Set-up and Installation
  • Jupyter Notebook Overview
  • Python Basics
    1. Basic Data Types
      1. Numbers
      2. Strings
  • Print Formatting
  1. Booleans
  1. Data structures
    1. List
    2. Tuple
  • Dictionary
  1. Sets and sets operations
  2. Unions and unions operations
  1. Comparison Operators
  2. If, elif and else Statements
  3. For and While Loops
  4. Break and Continue statements
  5. Range and Lists
  6. Functions and Lambda Expressions
  • Debugging in Python
    1. Code to Debug
    2. Run Debugger
    3. Table of Common PDB Commands
  • Pep8 standards
    1. Naming Conventions
    2. Indentions and line length
    3. Break lines
    4. White space
    5. Programming Recommendations
    6. Example
  • Docstring standards
  • Object-Oriented Programming
    1. Classes/Objects
    2. Create a Class
    3. Create Object
    4. The __init__() Function
    5. Object Methods
    6. The self Parameter
    7. Modify/Delete Object Properties
    8. Delete Objects

 

 

  • File handling
    1. Syntax
    2. How to Open File
    3. Read Lines
    4. Write to an Existing File
    5. Create a New File
    6. Delete a File
  • Using NumPy Package in Python
    1. Introduction to Numpy
    2. Installation of Numpy
    3. Numpy Arrays
    4. Quick Note on Array Indexing
    5. Numpy Array Indexing
    6. Numpy Operations
    7. Exercises
  • Using Pandas Package in Python
    1. Introduction
    2. Installation of Python
    3. Series
    4. DataFrames
    5. Missing Data
    6. Groupby
    7. Merging Joining and Concatenating
    8. Operations
    9. Data Input and Output
  • Using Seaborn for Data Visualization
    1. Introduction
    2. Distribution Plots
    3. Categorical Plots
    4. Matrix Plots
    5. Grids
    6. Regression Plots
    7. Style and Color
    8. Exercise
  • Multithreaded programs
    1. Introduction
    2. Multiple threads in memory
    3. Multithreading in Python
    4. Synchronization between threads
    5. Race Condition
    6. Using Locks
  • Logging in Python
    1. Why Use the logging Module
    2. Creating a Simple Logger
    3. Logging Exc7eptions
    4. Adding additional LogRecord attributes
    5. Formatted Log Stamp
    6. Table of Logging Levels
    7. Default Logging Level

 

  • Data Scrapping using Requests, beautiful soup
    1. Web Scraping
    2. Python modules for scraping data
    3. Webpage example
    4. Some useful html tags
    5. Scraping A Web Page Using Beautiful Soup
    6. beautiful and urllib2.urlopen
    7. prettify() function
    8. Contents / Head Title / Descendants / .strings generator

 

About the Trainer

Atin Kumar picture

5 Avg Rating

1 Reviews

1 Students

3 Courses

Atin Gupta

MCA

7 Years of Experience

20+ Years of total IT experience in Various technologies including Machine Learning, Python, R Programming and other related technologies.

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