CareerVision Training

Python Best Practices Training Video

CareerVision Training

£ 72 - (Rs 5,870)

Important information

  • Training
  • Beginner
  • Distance learning
  • Duration:
  • When:

The following course, offered by Career vision, will help you improve your skills and achieve your professional goals. During the program you will study different subjects which are deemed to be useful for those who want to enhance their professional career. Sign up for more information!

Important information

Where and when

Starts Location
Distance Learning

What you'll learn on the course

Python Programming
Python Best Practices

Course programme

Python Best Practices Training Video

  • Duration: 4 hours - 67 tutorial videos
  • Date Released: 2015-03-23
  • Works on: Windows PC or Mac
  • Format: DVD and Download
  • Instructor: James Powell

A Practical Training Course That Teaches Real World Skills
In this project-based Python Best Practices video tutorial series, you'll quickly have relevant skills for real-world applications.

Follow along with our expert instructor in this training course to get:

  • Concise, informative and broadcast-quality Python Best Practices training videos delivered to your desktop
  • The ability to learn at your own pace with our intuitive, easy-to-use interface
  • A quick grasp of even the most complex Python Best Practices subjects because they're broken into simple, easy to follow tutorial videos

Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Python Best Practices tutorial, online or offline... so you'll know the exact steps for your own projects.

In this Python Best Practices training course, expert author James Powell covers the built-in data types in Python. This course is designed for beginning to intermediate Python users.

You will start by learning about data structures, including the dict type, problem statements, terms, and how to create a dict. From there, James will teach you how to interact with the set type, such as type constructing, comprehension, and indexing. Finally, this video tutorial covers list and tuple types, including the list type, how to create a list and tuple, and semantics.

Once you have completed this computer based training course, you will have gained a solid understanding of the built-in data types in Python. Working files are included, allowing you to follow along with the author throughout the lessons.

Course Outline
01. Introduction To Python Best Practices Introduction And About The Author 0102 How To Access Your Working Files 02. Choosing The Right Data Structures The Dict Type Problem Statements Terms Dictionary Map Creating A Dict Dict.Update Dict Methods 0209 Dict.Clear 0210 Dict.Copy 0211 Dict.Get 0212 Dict.Pop And Dict.Popitem 0213 Dict.Keys, Dict.Values And Dict.Items 0214 Dict.Setdefault 0215 Dict.__Missing__ 0216 Dict Comprehensions 0217 Lookup Table 0218 Relation And Function 0219 __Getitem__ And __Call__ 0220 Dict-Alikes 0221 Rangedict And Passthrudict 0222 Collections.Defaultdict 0223 Hash 0224 Dict Versus Object 0225 Semantics 0226 Attribute Dictionary 0227 Vigenere Cipher 0228 Concordance 03. Interacting With The Set Type 0301 Problem Statement 0302 The Set Type 0303 Type Constructing 0304 Indexing 0305 Iterate And Union 0306 Remove And Discard 0307 Comprehension 0308 Example And Valid Straights 0309 Best_Hand 0310 Helper Functions 0311 Example Hands 0312 Displaying Example Hands 0313 Additional Methods 0314 Prime Number Generator 04. List And Tuple Types 0401 Introduction To List And Tuple Type 0402 Problem Statement 0403 The List Type 0404 The Tuple Type 0405 Creating A List 0406 Creating A Tuple 0407 Comprehension Syntax 0408 Getitem 0409 Setitem 0410 Setitem - Corner Case 0411 Delitem 0412 Iteration 0413 Unpacking 0414 Addition And Multiplication 0415 Argument Unpacking 0416 .Count And .Index 0417 List Methods 0418 Semantics 0419 Collections.Namedtuple 0420 Collections.Deque - Stacks, Queues And Deques 0421 Collections.Deque - More Stacks 0422 Heapq Module 05. Conclusion 0501 Wrap-Up