Python Programming Certification Overview
Python Programming Certification Course provide trainees with an in-depth understanding of the different concepts of Python programming concepts like Data Operations, File Operations, Object-Oriented concepts. This course also provides insights into various Python libraries such as Pandas, Numpy, Matplotlib and more.
Python Programming Certification Key Features
100% Money Back Guarantee
38 hours of Blended Learning- 30 hours of instructor-led training
- 8 hours of online self-paced training
- 20+ assisted practices on all modules
- Industry-recognized course completion certificate
- 5 lesson-end knowledge checks
- 1 course-end project
- No Exam Included
Skills Covered
- web scraping
- Object oriented programming
- operators methods
- Django, Indexing, Sets and Dictionaries
- Conditional statements, Loops Functions and File handling
- Errors and exceptions and shell scripting
Benefits
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High demand in the market
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Better career prospects
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Help developers build web applications
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Higher paycheck
Training Package Options
Course Content
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Python Programming Certification
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Introduction to Python
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- Overview of Python
- The Companies using Python
- Other applications in which Python is used
- Discuss Python Scripts on UNIX/Windows
- Variables
- Operands and Expressions
- Conditional Statements
- Loops
- Command Line Arguments
- Writing to the screen
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Sequences and File Operations
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- Python files I/O Functions
- Lists and related operations
- Tuples and related operations
- Strings and related operations
- Sets and related operations
- Dictionaries and related operations
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Deep Dive ? Functions and OOPs
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- Functions
- Function Parameters
- Global variables
- Variable scope and Returning Values
- Lambda Functions
- Object-Oriented Concepts
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Working with Modules and Handling Exceptions
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- Standard Libraries
- Modules Used in Python (OS, Sys, Date and Time etc.)
- The Import statements
- Module search path
- Package installation ways
- Errors and Exception Handling
- Handling multiple exceptions
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Introduction to NumPy & Pandas
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- NumPy - arrays
- Operations on arrays
- Indexing slicing and iterating
- Reading and writing arrays on files
- Pandas - data structures & index operations
- Reading and Writing data from Excel/CSV formats into Pandas
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Data visualisation
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- matplotlib library
- Grids, axes, plots
- Markers, colours, fonts and styling
- Types of plots - bar graphs, pie charts, histograms
- Contour plots
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Data Manipulation
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- Basic Functionalities of a data object
- Merging of Data objects
- Concatenation of data objects
- Types of Joins on data objects
- Exploring a Dataset
- Analyzing a dataset
- GUI Programming
- Ipywidgets package
- Numeric Widgets
- Boolean Widgets
- Selection Widgets
- String Widgets
- Date Picker
- Color Picker
- Container Widgets
- Creating a GUI Application
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Self-paced Concept:
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- MySQL DB access
- Network programming
- Multithreading
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Developing Web Maps and Representing information using Plots(Self Paced)
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- Use of Folium Library
- Use of Pandas Library
- Flowchart of Web Map application
- Developing Web Map using Folium and Pandas
- Reading information from Dataset and represent it using Plots
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Computer vision using OpenCV and Visualisation using Bokeh(Self Paced)
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- Beautiful Soup Library
- Requests Library
- Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
- Plotting charts using Bokeh Plotting scatterplots using Bokeh
- Image Editing using OpenCV
- Face detection using OpenCV
- Motion Detection and Capturing Video
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