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Course Outline
Introduction
- Python versatility: from data analysis to web crawling
Python Data Structures and Operations
- Integers and floats
- Strings and bytes
- Tuples and lists
- Dictionaries and ordered dictionaries
- Sets and frozen sets
- Data frame (pandas)
- Conversions
Object-Oriented Programming with Python
- Inheritance
- Polymorphism
- Static classes
- Static functions
- Decorators
- Other
Data Analysis with Pandas
- Data cleaning
- Using vectorized data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analyzing time series
Data Visualization
- Plotting diagrams with matplotlib
- Using matplotlib from within pandas
- Creating quality diagrams
- Visualizing data in Jupyter notebooks
- Other visualization libraries in Python
Vectorizing Data in Numpy
- Creating Numpy arrays
- Common operations on matrices
- Using ufuncs
- Views and broadcasting on Numpy arrays
- Optimizing performance by avoiding loops
- Optimizing performance with cProfile
Processing Big Data with Python
- Building and supporting distributed applications with Python
- Data storage: Working with SQL and NoSQL databases
- Distributed processing with Hadoop and Spark
- Scaling your applications
Extending Python (and vice versa) with Other Languages
- C#
- Java
- C++
- Perl
- Others
Python Multi-Threaded Programming
- Modules
- Synchronizing
- Prioritizing
Data Serialization
- Python object serialization with Pickle
UI Programming with Python
- Framework options for building GUIs in Python
- Tkinter
- Pyqt
Python for Maintenance Scripting
- Raising and catching exceptions correctly
- Organizing code into modules and packages
- Understanding symbol tables and accessing them in code
- Picking a testing framework and applying TDD in Python
Python for the Web
- Packages for web processing
- Web crawling
- Parsing HTML and XML
- Filling web forms automatically
Summary and Next Step
Requirements
- Beginner to intermediate programming experience
- Knowledge of math and statistics
- Knowledge of database concepts
Audience
- Developers
28 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £7600 online delivery, based on a group of 2 delegates, £2400 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses
Testimonials (7)
Got to know a lot of new thngs.
Roland - Diehl Aviation
Course - Advanced Python - 4 Days
We covered the topics in sufficient depth, which gave us time to discuss many of them. It was comprehensive enough.
Gergo - Diehl Aviation
Course - Advanced Python - 4 Days
We got a lot of new informations about Python what we will be able to use in our daily work in the future. The exercises were really interesting and challenging enough.
Zsolt - Diehl Aviation
Course - Advanced Python - 4 Days
training was good overall, my favorite part: dashboard & pyqt
Balazs - Diehl Aviation
Course - Advanced Python - 4 Days
Plenty of examples - and the trainer willing to bend backwards to help us with topics we were weaker in.
Wei Lit Teoh - HP Singapore (Private) Ltd.
Course - Advanced Python - 4 Days
Lots of exercises
Fanny Stauffer - UCB Pharma S.A.
Course - Advanced Python - 4 Days
The trainer gave a clear and systematic teaching. He usually gave the reasoning and fundamental knowledge behind the commands. He also gave us time to do the exercises and practice.
