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Introduction to 4820 Mastering Python Programming Certification Training

4820 Mastering Python Programming course is designed as the introductory practical enriched hands-on Python training course; the outcome leads the students from the basic writing and running Python scripts to using the advanced features like regular expressions, file operations, working with binary data, using extensive functionality of Python modules etc. During the course training, instructors emphasize on unique Python features like output formatting, tuples and array slices. After successful completion of training, you will be able to use Python in real world. 

It is hands-on class training in 50/50 lab to format combining lecture, group activities, discussions and demos with focus on comprehensive machine-based practical learning. The successful completion of 4820 Mastering Python Programming makes you an ideal candidate for 4850 Advanced Python Programming that adds competitive edge to your professional credibility.

For Who 4820 Mastering Python Programming is Must to Join Program:

4820 Mastering Python Programming is a good career booster for experienced website administrators, and system administrators. It is a good pick for the server managers and administrators who want to support their server installations with Python. Python scripts are being used widely machine learning processes; and, you may be one to use it.

Learning Objectives of 4820 Mastering Python Programming Course:

During the five days training, students will explore all the critical areas of multidimensional use of Python including Flow Control, Sequence Data, Functions, Files, Dictionaries and Sets, Errors and Exceptions, Modules, Regular Expressions, Standard Library, Python Classes, Real-life programming, Special data types, Network services, Dates and times etc. After completion of 4820 Mastering Python Programming course, you will be confident to:

  • Create working Python scripts following best practices
  • Read and write files with both text and binary data
  • Use python data types appropriately
  • Search and replace text with regular expressions
  • Work with dates, times, and calendars
  • Get familiar with the standard library and its work-saving modules
  • Use lesser-known but powerful Python data types
  • Create "real-world", professional Python applications
  • Write robust code using exception handling
  • Know when to use collections such as lists, dictionaries, and sets
  • Understand Pythonic features such as comprehensions and iterators

Future Prospects of 4820 Mastering Python Programming Certification: 

  • According to 2019’s StackOverflow’s Developer Survey, Python is the 2nd most preferred programming language worldwide.
  • Since past 4 years, Python has regularly been the 3rd most popular programming language in GitHub contributors.
  • Machine Learning needs Python in 9 cases out of 10; therefore, if you want to use Machine Learning or AI, you need to be Python expert.
  • R & Python both are listed as the prerequisites for the jobs in data science.


4820 Mastering Python Programming Course Outline

We at Microtek Learning provide five days comprehensive training for 4820 Mastering Python Programming certification course following the most detailed syllabus and robust lab activities:

Session 1: An Overview of Python

  • What is python?
  • An overview of Python
  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc

Session 2: The Python Environment

  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs

Session 3: Getting Started

  • Using variables
  • Builtin functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters

Session 4: Flow Control

  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits

5. Sequences

  • About sequences
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator Expressions
  • Nested sequences

Session 6: Working with Files

  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  • Reading and writing raw (binary) data
  • Converting binary data with struct

Session 7: Dictionaries and Sets

  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets

Session 8: Functions

  • Defining functions
  • Parameters
  • Global and local scope
  • Nested functions
  • Returning values

Session 9: Sorting

  • The sorted() function
  • Alternate keys
  • Lambda functions
  • Sorting collections
  • Using operator.itemgetter()
  • Reverse sorting

Session 10: Errors and Exception Handling

  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions

Session 11: Modules and Packages

  • The import statement
  • Module search path
  • Creating Modules
  • Using packages
  • Function and Module aliases

Session 12: Classes

  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data

Session 13: Regular Expressions

  • RE syntax overview
  • RE Objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Replacing text
  • Splitting strings

Session 14: The Standard Library

  • The sys module
  • Launching external programs
  • Math functions
  • Random numbers
  • The string module
  • Reading CSV data

Session 15: Dates and Times

  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data

Session 16: Working with File System

  • Paths, directories, and filenames
  • Checking for existence
  • Permissions and other file attributes
  • Walking directory trees
  • Creating filters with file input
  • Using shutil for file operations

Session 17: Advanced Data Handling

  • Defaultdict and Counter
  • Prettyprinting data structures
  • Compressed archives (zip, gzip, tar, etc.)
  • Persistent data

Session 18: Network services

  • Grabbing web content
  • Sending email
  • Using SSH for remote access
  • Using FTP

Session 19: Writing Real Life Application

  • Parsing command-line options
  • Detecting the current platform
  • Trapping signals
  • Implementing logging
  • Python Timeline Advantages/Disadvantages of Python

Pre-Requisite for 4820 Mastering Python Programming Certification Course:

Ideal candidate for 4820 Mastering Python Programming course training should have a working and user-level knowledge of Unix/Linux, Mac, or Windows. The basic skills and experience of using at least one programming language is a great help to understand the topics deeply and easily.

FAQs for Online Mastering Python Programming Certification Course

Q: What is the Python Software Foundation?

The Python Software Foundation, an independent non-profit organization, holds the copyright on Python versions. The organization is committed to advance open source Python programming language consistently and to make it more usable worldwide.

Q: What is Python good for?

Python comes with a standard library to cover diverse areas like string processing (Unicode, regular expressions, calculating differences between the files), Internet protocols (SMTP, XML-RPC, HTTP, FTP, POP, CGI programming and IMAP), software engineering (logging, profiling, unit testing, parsing Python codes), and operating system interfaces (file systems, TCP/IP sockets, system calls) etc.

Q: Where can I get the certified Python perfection?

Numbers of Python accredited training partners provide comprehensive online training for the variety of Python courses like Introduction to Python Programming, 4820 Mastering Python Programming, 4850 Advanced Python Programming etc.

Q: Is Python course training good for future, if I am a freelance web developer?

The global demand of Python web developers is increasing fast. Learning of Python technology in web development will help you improve your performance and scope of your working.


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