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 concepts.
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.
Target Audience
- Developers.
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.
