Python Master Class

[vc_row][vc_column][vc_column_text]python online training class

This Python training and course is meant to educate and master Python programming skills.

This course will take you through the Python setup, basics of Python programming, different data types in Python (like string, numeric, list, tuple, sets, dictionaries…), file handling, handling Python libraries and memory management. This course will be more focused on practical demonstrations of Python programming.

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][fenomen_title title=”Course Outline”][vc_text_separator title=”Module 0: Warming Up” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Course Outline Discussion
  • Introduction to Python
  • Why Python?
  • Features of Python Programming
  • Future Scope for Python

[/vc_column_text][vc_text_separator title=”Module 1: Installation and Setup” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Different Python Versions
  • Python Installation and Setup
  • Executing Code on Python Command Line Interpreter
  • Editors and IDE Setup
  • “Hello, World!”┬áProgram

  • Online Test and Discussion

[/vc_column_text][vc_text_separator title=”Module 2: Python Programming Paradigm ” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Basic Python Coding Standards
  • Variables and Data Types
  • Taking User Input
  • String Operations
  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes

  • Online Test and Discussion

[/vc_column_text][vc_text_separator title=”Module 3: Python Specific Data Types” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Python Data Structures
  • Lists and Tuples
  • Mutable and Immutable Properties
  • Sets
  • Dictionaries

  • Online Test and Discussion

[/vc_column_text][vc_text_separator title=”Module 4: Handling Python Libraries” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Introduction to Pip
  • Installing and Uninstalling Python Libraries
  • Listing Different Versions of Python Libraries
  • Importing Python Libraries

  • Online Test and Discussion

[/vc_column_text][vc_text_separator title=”Module 5: Advance Python Concepts” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • File Handling- Reading and Writing File
  • Reference Count and Dynamic Memory Management
  • Jupyter Setup (Notebook- mostly used for Data Science)
  • Exploring Different Data Science Libraries

  • Online Test and Discussion

[/vc_column_text][vc_text_separator title=”Bonus Session: Master Tips for Building career with Python” i_icon_fontawesome=”fa fa-graduation-cap” i_color=”juicy_pink” title_align=”separator_align_left” style=”dashed” add_icon=”true”][vc_column_text]

  • Making Online Portfolio
  • Putting Your Project Online
  • Growing Your Data Science Network
  • Resume Building

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][fenomen_title title=”Perk of the Course”][vc_column_text]

  • You will get complete Python eBook for reference.
  • All the learning and coding Resources will be shared.
  • Lifetime support for any query regarding the topics covered in this training.

[/vc_column_text][/vc_column][/vc_row]