קורסים מקצועיים למתקדמים
תפריט
6460
בדיקת התאמה להייטק ללא עלות

פיתוח תוכנה

Python 3 Programming

מספר הקורס 40829

למה ללמוד בג'ון ברייס?
  • למידה חדשנית ודינמית עם כלים מתקדמים בשילוב סימולציות, תרגול וסביבות מעבדה
  • מגוון הכשרות טכנולוגיות עם תכנים המותאמים להתפתחות הטכנולוגית ולביקוש בתעשיית ההייטק
  • מובילים את תחום ההכשרות לעולם ההייטק והטכנולוגיה כבר 30 שנה, עם קהילה של עשרות אלפי בוגרים
  • אתם בוחרים איך ללמוד: פרונטאלית בכיתה, מרחוק ב- Live Class או בלמידה עצמית
מעניין אותי לשמוע עוד

המועדים הקרובים

calendar-1.svg 16/12/2024
קורס בוקר

ניתן לפתוח את הקורס בהתאמה אישית ומלאה לצרכי הארגון, במועדים ומערכי לימוד גמישים בשילוב תכנים ייעודים.

משך הקורס

שעות אקדמיות:

40

מספר מפגשים:

קורס בוקר:

5

מספר מפגשים:

קורס בוקר:

5

  • מרצים מומחים ומנוסים מהתעשייה
  • למידה מתקדמת בהתאמה אישית
  • התפתחות ושדרוג מקצועי
  • חוויית למידה חדשנית ומקיפה
  • ליווי וייעוץ מקצועי
  • חומרי לימוד ייחודיים ובלעדיים

Overview

Python is one of the largest growing programming languages in the world. While it is one of the easier languages to learn, it is still extremely powerful, and its applications are endless, from financial plot and data analysis, web development, machine learning and so on.

This training provides hands-on introductions to the Python Programming language. Throughout this course you will understand the language fundamentals and core concepts, as well as how to apply it to common programming tasks.

On Completion, Delegates will be able to

Use the Python interactive interpreter to write and run Python programs

Understand Python language elements

Exploit the rich library of Python libraries and modules

Recognize simple and complex variable types and select appropriately

Use Python operators and built-in functions

Understand procedural control flow in Python

Program file input/output, including persistent data objects.

Create well organized and efficient code using functions and modules

Use Object Oriented programming techniques in Python.

Build robust applications with error trapping and reporting

Who Should Attend

This course is suitable to those who have some experience with scripting / programming in fields of QA, BI, DevOps, System and wish to enhance their skillset and learn the incredibly useful programming language of Python.

This is not a course for programmers (Please refer to course 40830 for programmers).

תכנית הלימודים

Course Contents
  • What is Python?
  • What is Python 3?
  • Why Python?
  • Performance downsides
  • The community
  • Running Python interactively
  • Python scripts
  • Python help
  • Anatomy of a Python script
  • Modules
  • Functions and built-ins
  • Python is Object Oriented
  • Python variables
  • Variable names
  • Type specific methods
  • Operators and type
  • Augmented assignments
  • Python types
  • Switching types
  • Python lists introduced
  • Python tuples introduced
  • Python dictionaries introduced
  • Python conditionals
  • Indentation
  • What is truth?
  • Boolean and logical operators
  • Chained comparisons
  • Sequence and collection tests
  • Object types
  • A note on Exception Handling
  • While loops
  • Loop control statements
  • For loops
  • enumerate
  • Counting ‘for’ loops
  • Zipping through multiple lists
  • Conditional expressions
  • Unconditional flow control
  • Python 3 strings
  • The print function
  • Cooking strings
  • String concatenation
  • ‘Quotes’
  • String methods
  • String tests
  • String formatting
  • Other string formatting aids
  • Slicing a string
  • String methods – split and join
  • Python types – reminder
  • Useful tuple operations
  • Python lists
  • Tuple and list slicing
  • Extended iterable unpacking
  • Adding items to a list
  • Removing items by position
  • Removing list items by content
  • Sorting
  • List methods
  • Sets
  • Exploiting sets
  • Set operators
  • Python dictionaries
  • Dictionary values
  • Removing items from a dictionary
  • Dictionary methods
  • View objects
  • Python regular expressions
  • Elementary extended RE meta-characters
  • Regular expression objects
  • Regular expression substitution
  • Regular expression split
  • Matching alternatives
  • Anchors
  • Class shortcuts
  • Flags
  • Repeat quantifiers
  • Parentheses groups
  • Back-references
  • Global matches
  • New file objects
  • Reading files into Python
  • Reading tricks
  • Filter programs – fileinput module
  • Binary mode
  • Writing to files from Python
  • Standard streams
  • More tricks
  • Random access
  • Python pickle persistence
  • Pickle protocols
  • Build some shelves
  • Compression
  • Database interface overview
  • Example – SQLite from Python
  • Python functions
  • Function parameters
  • Variadic functions
  • Assigning default values to parameters
  • Named (keyword) parameters
  • Enforcing named parameters
  • Returning objects from a function
  • Variables in functions
  • Nested functions
  • Variables in nested functions
  • Function documentation
  • Lamdba functions
  • Lambda as a sort key
  • Advanced list functions – filter
  • List comprehensions
  • Set and dictionary comprehensions
  • Lazy lists
  • Generators
  • Generator objects and next – coroutines
  • List comprehensions as generators
  • Copying collections – problem
  • Copying collections – slice solution?
  • Copying collections – deepcopy solution
  • What are modules and packages?
  • Multiple source files
  • How does Python find a module?
  • Importing a module
  • Importing names
  • Directories as packages
  • Writing a module
  • Module documentation
  • Testing a module
  • Python debugger
  • Python profiler
  • Distributing libraries – distutils
  • Classes and OOP
  • Object-Oriented terminology
  • Object-Oriented Programming
  • Using objects
  • Defining classes
  • Defining methods
  • Constructing an object
  • Special methods
  • Operator overload special methods
  • Properties
  • Properties and decorators
  • Class methods
  • Inheritance
  • Inheritance terminology
  • Writing to stderr
  • Controlling warnings
  • Exception handling
  • Exception syntax
  • Multiple exceptions
  • Exception arguments
  • The finally block
  • Order of execution
  • The Python exception hierarchy
  • A common mistake
  • The raise statement
  • Raising our own Exceptions
  • assert
  • Family life
  • Creating a process from Python
  • Old interface examples
  • Waiting for a child
  • Using the subprocess module
  • The subprocess.Popen class
  • Running a basic process
  • Capturing the output
  • Passing data through a pipe
  • Processes and threads
  • Very basic threads in Python
  • Synchronization objects in threading
  • The trouble with threads
  • Using the multiprocessing module
  • Queue objects
  • The Standard Library
  • Example – converting Python 2 scripts to Py3
  • Pretty Printer – a useful utility
  • Operating System interfaces – os and friends
  • System specific attributes – sys
  • Signal handling – signal
  • Converting a signal to an exception
  • Configuration files
  • The configparser module
  • The datetime module and friends
  • The platform module
  • External function interface – ctypes
  • The socket module
  • __future__
  • Other modules
Prerequisites
  • Some experience with scripting or programming: if you can explain what a variable is, write a loop, or define function in some language or script – this course is for you.
  • No previous knowledge of Python is assumed.
  • Candidates must be comfortable with reading and writing in English

Schedule Appointment

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